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Lecture 02 - Applying Principles of Env Psych to the Analysis and Resolution of Community Problems — Transcript

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  1. 0:09all right so uh as I said I'm just going
  2. 0:11to recap a little bit the first four
  3. 0:13slides from last week these won't be in
  4. 0:15the slides I upload tonight but just so
  5. 0:17you're all reminded um this is our our
  6. 0:20staff for the class um and you can go to
  7. 0:23the next one um the web the website for
  8. 0:26the class is really important so we want
  9. 0:28you to use this quite a bit it uh the
  10. 0:30study guides are up there the first
  11. 0:33assignment that you'll download the
  12. 0:34take-home assignment on cognitive
  13. 0:35mapping is there and uh there's a lot of
  14. 0:38interesting links up there and very
  15. 0:40important when you have a question about
  16. 0:43anything in the class go to this Gmail
  17. 0:45address it's called
  18. 0:47environmentaly
  19. 0:48gmail.com and we're monitoring that
  20. 0:50every day we'll get back to you quickly
  21. 0:53and that's the best way to gu get a fast
  22. 0:55response and we'll be sending out class
  23. 0:56announcements to the list serve that way
  24. 0:58as well and and you've got your link to
  25. 1:00course readings up there and to the
  26. 1:02lecture slides that I post after class
  27. 1:05okay this is what the uh web files
  28. 1:08folder of readings looks like hopefully
  29. 1:09all of you are getting to those okay and
  30. 1:11downloading the the readings without any
  31. 1:13problem and then finally our paperback
  32. 1:16text if you want to buy them they're at
  33. 1:18the bookstore or they're on Library
  34. 1:20Reserve or also at the planning policy
  35. 1:23and design Department office if you want
  36. 1:24to check them out there okay LST Library
  37. 1:27Langston Library if you want to get them
  38. 1:29there
  39. 1:31okay so you know last time I was talking
  40. 1:33about how the field of environmental
  41. 1:35psychology is situated within our our
  42. 1:38school of social ecology and there are a
  43. 1:40number of common assumptions that all of
  44. 1:43our Fields within the school share
  45. 1:45whether you're in criminology planning
  46. 1:47psychology what have you and the broad
  47. 1:50mission of the School of Social ecology
  48. 1:51if you ever go on a job interview or
  49. 1:53you're applying a grad school and they
  50. 1:54ask you what is social ecology uh you
  51. 1:56can say it's a school that aims to train
  52. 1:59students to analyze research and policy
  53. 2:01questions from a broad ecological
  54. 2:03perspective integrating multiple
  55. 2:05disciplines and linking Theory and
  56. 2:08research with Community problem solving
  57. 2:10so those are shared by all of our
  58. 2:12different fields within the School of
  59. 2:14Social
  60. 2:16ecology and the way we're structured
  61. 2:18with our three departments is that we
  62. 2:21often encourage students to look for the
  63. 2:23overlaps or the interface between our
  64. 2:25different departments so if you look in
  65. 2:27this middle dark area here you might
  66. 2:29have a question like if I design a
  67. 2:32dysfunctional environment like a school
  68. 2:34under an Airport runway or a an
  69. 2:37apartment building over an expressway
  70. 2:40what kind of factors what kind of
  71. 2:42influence is that going to have on
  72. 2:43people's behavior uh their learning in
  73. 2:46classrooms what kind of effect is it
  74. 2:48going to have on their blood pressure
  75. 2:49their health up here and finally what
  76. 2:52kind of opportunities does it create for
  77. 2:54Crime because a lot of our physical
  78. 2:56environments actually are conducive to
  79. 2:58more victimization and crime crime than
  80. 3:00environments we would call defensible
  81. 3:02space environments so we're going to
  82. 3:03talk about defensible space a little bit
  83. 3:05later but you can see how the different
  84. 3:07departments or areas of our school come
  85. 3:09together that
  86. 3:11way today I'll be talking about the
  87. 3:14Rashad and grman article on Obesity
  88. 3:16we'll talk about obesity as a social
  89. 3:19Community problem that has a lot of
  90. 3:21environmental psychological aspects to
  91. 3:23it and when we talk about looking at
  92. 3:26health problems from a broad social
  93. 3:28ecological perspective we're immediately
  94. 3:31assuming we're coming at it from
  95. 3:32different disciplinary perspectives
  96. 3:34we're bringing a multi-level approach so
  97. 3:37a developmental psychologist might look
  98. 3:38at a child's development within a home
  99. 3:40environment and the parents but an
  100. 3:42ecological developmental psychologist
  101. 3:44would look at okay how does the school
  102. 3:45influences impinge on the home
  103. 3:47environment or how does political
  104. 3:49turmoil or environmental racism in the
  105. 3:51community affect that child's
  106. 3:53development in the home so it's
  107. 3:55multi-level and what you have is the
  108. 3:57child embedded in many contextual layers
  109. 3:59so we're looking at how those different
  110. 4:01contexts jointly affect what we're
  111. 4:03studying whether it's crime development
  112. 4:06uh any other phenomen uh we talk about
  113. 4:09systems theory and I'll go into that
  114. 4:10more next week and basically it's
  115. 4:14looking at how people or organisms and
  116. 4:16environments come into equilibrium so
  117. 4:19when you move into a dormatory you want
  118. 4:21to feel that there's a good fit between
  119. 4:22your needs and what that dormatory has
  120. 4:24to offer you want to reach a Harmony or
  121. 4:27equilibrium and sometimes we have
  122. 4:29systems that go into what we call
  123. 4:30deviation amplification that would be
  124. 4:32things like the rich get richer the poor
  125. 4:34get poorer the digital divide that keeps
  126. 4:37growing so people on the wrong side of
  127. 4:39the digital divide get more and more
  128. 4:40disadvantaged that's called deviation
  129. 4:42amplification so not all systems go to
  130. 4:45equilibrium and that's important to
  131. 4:47remember but we'll be talking about
  132. 4:48feedback loops and uh how these
  133. 4:50different system elements are
  134. 4:52interdependent and what happens when we
  135. 4:55go into do a community intervention and
  136. 4:58we really mess things up because we
  137. 4:59thought we had a good theory but we
  138. 5:01cause all kinds of unintended side
  139. 5:03effects and sometimes you need a systems
  140. 5:05approach to anticipate that if you don't
  141. 5:08have a broad conceptual model you may
  142. 5:10miss those potential unintended side
  143. 5:12effects so we'll talk about how that
  144. 5:13happens with several examples this
  145. 5:15quarter and finally that application to
  146. 5:18community problem solving public policy
  147. 5:21uh we call that an action research
  148. 5:23perspective we're doing research in the
  149. 5:25service of action getting some things
  150. 5:27improved in society translating Theory
  151. 5:30and research findings into Community
  152. 5:31interventions okay so everybody clear on
  153. 5:34that
  154. 5:36okay now we'll be talking about the
  155. 5:38Ecology of
  156. 5:39obesity how can this be viewed from an
  157. 5:41ecological perspective and what's the
  158. 5:43environmental psychology involved in
  159. 5:45this topic before we do that we're going
  160. 5:47to uh show you some animated maps of how
  161. 5:51obesity has become a crisis in this
  162. 5:54country in the last several years and
  163. 5:56some of you may have looked at these
  164. 5:58maps on the syllabus page the week one
  165. 6:02page but it's uh it puts the problem in
  166. 6:05graphic relief
  167. 6:08so yeah you can
  168. 6:11put
  169. 6:12okay
  170. 6:14yeah how many of you had a chance to
  171. 6:16look at those any any of you okay so
  172. 6:19we're going to talk about some of the
  173. 6:20some of the implications of what you see
  174. 6:22in those slides it's pretty interesting
  175. 6:35yeah we can go through them no just hit
  176. 6:37play I think at the top that'll run
  177. 6:39them okay here we go so 1998 99 and what
  178. 6:43you see is as the colors of the states
  179. 6:46change we're going up in obesity so as
  180. 6:48we go from uh no data or light blue less
  181. 6:51than 10% of the population in the state
  182. 6:53is obese uh what you're seeing now with
  183. 6:55that first uh blue State you've got 15
  184. 6:58to 19% obesity and then by 2010 you've
  185. 7:01got all these red states that are over
  186. 7:0430% obesity and it turns out in the
  187. 7:06United States today 36% of our
  188. 7:08population as a whole are obese okay
  189. 7:12that's a pretty high percentage over 30%
  190. 7:14of our population and uh what you see
  191. 7:18here is interesting too that in the
  192. 7:19Southeast you have a kind of cluster of
  193. 7:22states there where there are a lot of
  194. 7:25health problems that come together not
  195. 7:26just obesity they have higher cervical
  196. 7:28cancer rates in those States uh they
  197. 7:31have higher smoking cancer rates a lot
  198. 7:32of those States uh grow tobacco and sell
  199. 7:35tobacco so it's interesting when you
  200. 7:37look at an environmental ecological
  201. 7:39perspective you start to see how these
  202. 7:41health problems are actually distributed
  203. 7:44geographically and if you do geographic
  204. 7:46information systems analysis you can
  205. 7:48start to layer over those States and see
  206. 7:50well what factors might be accounting
  207. 7:52for that cluster of problems so there's
  208. 7:54a lot of interesting uh implications of
  209. 7:58those those slides as you look at them
  210. 8:00now let's go back to the uh Ecology of
  211. 8:03obesity slide if you have had a chance
  212. 8:06to read the Rashad and grman article in
  213. 8:08the first uh week the the first class
  214. 8:11session that's taking a very broad
  215. 8:13ecological approach to obesity because
  216. 8:16what it's saying is that there are many
  217. 8:18different factors that contribute to the
  218. 8:20Obesity of an individual or population
  219. 8:22anybody recall some some of those
  220. 8:24factors that come together to predict
  221. 8:26obesity
  222. 8:27yeah pardon me women going into the
  223. 8:30workforce okay women going into the
  224. 8:31workforce interestingly enough that
  225. 8:34accounts for a large increase in
  226. 8:36children's obesity because the food that
  227. 8:39kids are eating uh on the Fly while
  228. 8:42their their parents are working uh isn't
  229. 8:44necessarily as nutritious is what
  230. 8:45they're getting when you know both
  231. 8:47parents or one parent is home um another
  232. 8:51fa other factors that come up in that
  233. 8:52article yeah Advan in technology
  234. 8:55advances in technology so what kinds of
  235. 8:57things like allowing
  236. 8:59that allows
  237. 9:02for good what's your name Amanda Amanda
  238. 9:05I'm going to keep asking you guys name
  239. 9:07so we start to learn names what's your
  240. 9:08name David okay Dave thank you so there
  241. 9:12are a lot of things you know what what
  242. 9:14we know from that article is between
  243. 9:151960 to 1980 the obesity rate of the US
  244. 9:20population was about 14% And then from
  245. 9:221980 to 200000 it jumped to about 30% so
  246. 9:27there was a lot of research looking at
  247. 9:29why did jump and what accounts for 2/3
  248. 9:32of the increase in the US obesity rate
  249. 9:35between 1980 and 2000 anybody remember
  250. 9:382third of that increase in obesity in
  251. 9:40our
  252. 9:42country
  253. 9:48yes okay a lot of those factors are
  254. 9:51working together but there's one that
  255. 9:52stands out is what's your name an Anita
  256. 9:55one that stands out really
  257. 9:57prominently proximity of
  258. 10:00it's people relying more and more on
  259. 10:02fast food and even full service
  260. 10:03restaurants so America started to go out
  261. 10:06for dinner go out for food outside the
  262. 10:08home a lot more frequently from 1980 on
  263. 10:11and that accounts for a big jump in the
  264. 10:13obesity rate so what that's saying is
  265. 10:16there's something going on between
  266. 10:17smoking and overeating and maybe people
  267. 10:20are compensating when they're not
  268. 10:21smoking and they they want to eat more
  269. 10:23raise their mood so there are a lot of
  270. 10:26interesting factors there how do you
  271. 10:27design public policies that get people
  272. 10:29not to smoke but also help to prevent
  273. 10:32obesity so that you don't have policies
  274. 10:34that are exaggerating one problem while
  275. 10:36solving another so that article presents
  276. 10:39a very sort of broad multi-level uh kind
  277. 10:42of ecological perspective on a social
  278. 10:44problem uh certainly the price of food
  279. 10:47during the time that the Obesity went up
  280. 10:49from 1980 to 2000 the price of food
  281. 10:52dropped and the supply of food was much
  282. 10:54more plentiful so you had restaurants
  283. 10:57sort of supersizing you and moving
  284. 10:59theaters uh and we're going to see a few
  285. 11:01slides about that so there we have uh
  286. 11:06well the monster thick Burger has 1420
  287. 11:10calories um you can see the uh Carl's Jr
  288. 11:15double $6 Burger has
  289. 11:171420 uh it's way more than anybody would
  290. 11:19need to eat in a particular meal and the
  291. 11:22stuff that goes into that sandwich is
  292. 11:23not necessarily the most nutritious for
  293. 11:25you so you know restaurants are putting
  294. 11:28out big sizes
  295. 11:29not the best food but it's plentiful it
  296. 11:32fills people up they like it it's
  297. 11:33comfort food and uh this guy Morgan
  298. 11:37Spurlock did a
  299. 11:39documentary called supersize me how many
  300. 11:41of you seen super siize me oh a lot of
  301. 11:43you okay so you know that for a whole
  302. 11:46month he went on a McDonald's diet for
  303. 11:48breakfast lunch and dinner and the guy
  304. 11:51almost I don't know if he almost died
  305. 11:52but he got pretty sick his liver enzymes
  306. 11:54got messed up his girlfriend was
  307. 11:56pleading with him please go off this
  308. 11:58diet you're going to kill yourself
  309. 11:59no no I must go on I am doing this
  310. 12:01documentary but uh basically what he
  311. 12:04showed is that if you stay on that type
  312. 12:07of diet for a month uh you do real
  313. 12:10damage to a lot of your body
  314. 12:12systems so uh this is a little uh
  315. 12:16promotion for his movie and um over the
  316. 12:19course of his experiment for a month he
  317. 12:21got checked out pretty routinely by
  318. 12:24physicians and they monitored his blood
  319. 12:26pressure and a lot of other uh basic you
  320. 12:30know physiological indices and he was
  321. 12:32going downhill pretty fast he when he
  322. 12:34first started this he was quite nauseous
  323. 12:36he he really couldn't eat all that fast
  324. 12:38food and then as he went further uh he
  325. 12:41kind of got used to it but his body
  326. 12:43started to show all the the effects Al
  327. 12:46it was just the McDonald's diet but he
  328. 12:48was getting more and more stressed
  329. 12:50because in addition to how he felt his
  330. 12:52girlfriend was you know saying get off
  331. 12:54this diet so they had a little thing
  332. 12:56going on did you do any excise uh not he
  333. 13:00didn't feel up to it I as as I remember
  334. 13:02the movie he was fatigued he he just you
  335. 13:04know showed a lot of the signs so it's
  336. 13:06kind of an interesting example of what
  337. 13:08happens when you when you consume that
  338. 13:10much food now some of you mentioned the
  339. 13:12technological changes when we have
  340. 13:14microwaves we don't have to linger over
  341. 13:17the oven and you know cook a good meal
  342. 13:19we can toss something in and get it done
  343. 13:22quickly and eat it fast on the Fly and
  344. 13:24that's not necessarily the best food for
  345. 13:26us in a lot of cases yeah another thing
  346. 13:28is that with the rise of the computer
  347. 13:30age we've become more sedentary so we we
  348. 13:33had TVs before for sure but now we're
  349. 13:36doing so much of our work on the
  350. 13:38computer whether it's email or texting
  351. 13:41or writing papers and so this has
  352. 13:44created a more sedentary lifestyle so
  353. 13:46these are some of the technological
  354. 13:47changes that have created those uh
  355. 13:50Health consequences where we've been
  356. 13:52talking about sitting on the 405 freeway
  357. 13:55or some other congested route uh in
  358. 13:59sprawling cities like Los Angeles where
  359. 14:01you have jobs and housing spread way out
  360. 14:04from each other the Obesity rates in
  361. 14:06those populations are higher and the
  362. 14:09urban geographers geographers attribute
  363. 14:11those differences in sprawl non-s sprawl
  364. 14:14cities to the fact that people are more
  365. 14:18sedentary in their cars commuting they
  366. 14:20spend a lot more time commuting than
  367. 14:21people in a more rural or less sprawling
  368. 14:24uh
  369. 14:25neighborhood and this is an example uh
  370. 14:28from Frank and Jackson did a book on the
  371. 14:32effects of urban environments on health
  372. 14:35and what they found is these are the
  373. 14:37researchers that found that data about
  374. 14:40the linkage between rates of sprawl in
  375. 14:42different cities and the Obesity of the
  376. 14:45population want to go back just a minute
  377. 14:48um what are the things that cause sprawl
  378. 14:51well one thing is land use pattern so if
  379. 14:53you have a separation people in urban
  380. 14:54studies will know if you have jobs
  381. 14:56housing imbalance where you have most of
  382. 14:58your housing in one part of the
  383. 15:00community and then people have to
  384. 15:01commute long distances to get to their
  385. 15:03jobs it's not an integrated community
  386. 15:05that creates sprawl another factor that
  387. 15:07creates SP sprawl is transportation
  388. 15:10configuration so if you have streets
  389. 15:12that aren't connected well and people
  390. 15:15can't uh walk easily um they have to
  391. 15:18take a freeway to get from point A to B
  392. 15:21because there aren't a lot of surface
  393. 15:22streets that connect conveniently so
  394. 15:24that street connectivity is another
  395. 15:26factor that contributes to sprawl
  396. 15:29so summarizing over the Rashad and
  397. 15:31Grossman article these are the factors
  398. 15:33that they identified as jointly
  399. 15:36contributing to the rise in obesity in
  400. 15:38the US between 1980 and 2000 but as we
  401. 15:42know the problem isn't over uh because
  402. 15:44we went from 30% obesity in in 2000 to
  403. 15:48about 36% now so it's it's continuing to
  404. 15:51be a major problem uh but everything
  405. 15:53from the the uh Supply and price of food
  406. 15:56the growth of the restaurant and fast
  407. 15:58food industry new technologies like
  408. 16:00microwaves urban sprawl less physical
  409. 16:02activity greater taxes on cigarettes and
  410. 16:04other tobacco products which are very
  411. 16:06effective in getting people not to smoke
  412. 16:08but they have these odd consequences for
  413. 16:10obesity and then even participation of
  414. 16:13women in the labor force no one would
  415. 16:14say that it's bad for women well maybe
  416. 16:16some would but a lot of people would say
  417. 16:18it's good that there more women
  418. 16:20participating in the labor force there's
  419. 16:21greater parity between the genders and
  420. 16:23the labor force but we have to somehow
  421. 16:26come to grips with uh what that might be
  422. 16:28Cor corelated with in in terms of some
  423. 16:30of these health issues and how do we how
  424. 16:32do we tone down the health issues while
  425. 16:34maintaining that that parody in the
  426. 16:36workplace and that gets into the realm
  427. 16:38of public policy now environmental
  428. 16:40psychology comes into the picture in
  429. 16:43terms of different environments that
  430. 16:45invite people to be active so these are
  431. 16:48some slides from Irvine and we saw that
  432. 16:50little parody about living in Irvine the
  433. 16:52bubble uh but this is Woodbridge a a uh
  434. 16:56Community residential area in Irvine
  435. 16:58where you've got the
  436. 16:59human-made Lake and you've got the nice
  437. 17:01mountains when you can see them through
  438. 17:02the smog or without the smog uh this is
  439. 17:05another neighborhood in Irvine called
  440. 17:06University Park which provides extensive
  441. 17:09green belts and when we get to the
  442. 17:11second half of the course we talk about
  443. 17:13planning strategies for enhancing
  444. 17:15environments you'll see that some of
  445. 17:17these strategies come out of uh English
  446. 17:20urban planning in the 1800s and early
  447. 17:231900s Ebenezer Howard wrote a book
  448. 17:25called The Garden City and according to
  449. 17:27Ebenezer Howard the Great good in a
  450. 17:29community was to expose people to Nature
  451. 17:31he wanted to get people out of the
  452. 17:33crowded areas of London and pull them
  453. 17:35into these rural areas in England are
  454. 17:38areas that had no more than about 45,000
  455. 17:40residents because those would be uh
  456. 17:43highquality safe nurturing environments
  457. 17:46so you see that carried over in planned
  458. 17:48communities in the US a lot of the
  459. 17:49planners of the Irvine Company for
  460. 17:51example took those Garden City ideas and
  461. 17:54put them right into Irvine along with
  462. 17:56Kevin Lynch's ideas about Urban
  463. 17:57imageability how do you you create
  464. 17:59cities that have a strong identity and
  465. 18:01that type of thing although some would
  466. 18:02say well it didn't work in Irvine uh
  467. 18:04it's sort of you know nondescript but
  468. 18:07we'll talk more about Kevin Lynch and
  469. 18:08that that's the first U exercise that
  470. 18:10you'll do on on his uh notion of
  471. 18:13cognitive mapping yeah was it Pomona
  472. 18:14that was sort of a you know model after
  473. 18:17that that book there are a number of
  474. 18:19cities that have been modeled after uh
  475. 18:21Kevin Lynch's book image of the city and
  476. 18:23I I would say that Irvine is one of them
  477. 18:26because the first president of the
  478. 18:27Irvine Company Ray Watson got his degree
  479. 18:30at Berkeley in urban Regional planning
  480. 18:31read Kevin Lynch came to Irvine and
  481. 18:34hired Urban designers to implement his
  482. 18:36principes so we'll see some examples of
  483. 18:38that as we go the notion of
  484. 18:42walkability means you know how likely or
  485. 18:45easy is it for someone to be a
  486. 18:46pedestrian in a city and so here in
  487. 18:49Irvine one of the things the community
  488. 18:51has done they' put in this median strip
  489. 18:53with a lot of planting to slow down the
  490. 18:55traffic near this schoolyard here and
  491. 18:58they've put a L of trees along the
  492. 18:59sidewalk so people like to be outdoors
  493. 19:01they like to be walking in that type of
  494. 19:03environment when you have these
  495. 19:04monolithic how many of you have been
  496. 19:06near The Bonaventure Hotel downtown LA
  497. 19:09you know that's a kind of Monolithic
  498. 19:11concrete environment that looks good
  499. 19:13from the sky and it relates well to the
  500. 19:15freeways but if you're a pedestrian
  501. 19:17around there it's really tough it's not
  502. 19:18the most inviting place to walk so that
  503. 19:21would be an example of hard architecture
  504. 19:23at least the outside of that hotel uh
  505. 19:26but this is these are some of the things
  506. 19:27you can do to make an environment more
  507. 19:30walkable now related to the Rashad and
  508. 19:34grman article we uh talk about uh this
  509. 19:37study done by Christus and Fowler who
  510. 19:40are network theorists Network scientists
  511. 19:42and what they did is they took over
  512. 19:4512,000 people in the Framingham Hearts
  513. 19:47uh study and they studied them from 1971
  514. 19:51to 2003 so about 30 years there over 30
  515. 19:54years and they looked at what happened
  516. 19:56in their their networks where somebody
  517. 19:59was in a network and their friend became
  518. 20:00heavier and what they found is over time
  519. 20:03the friend of the friend became heavier
  520. 20:06and 50% greater chance to become
  521. 20:08overweight if your friend got heavier in
  522. 20:10a particular period of time 37% greater
  523. 20:14chance if uh believe it if your spouse
  524. 20:17got heavier uh friends were the most
  525. 20:20influential uh even more influential
  526. 20:22than siblings and are more influential
  527. 20:24than spouses yeah so is this idea kind
  528. 20:27of like a of the mean where no it's not
  529. 20:31regression to the mean that they're
  530. 20:33talking what they're calling it is a
  531. 20:34kind of contagion Factor where people
  532. 20:36model what their friends are like so if
  533. 20:38if a friend comes into your network and
  534. 20:41they start getting heavier it's more
  535. 20:43likely that friends in that network will
  536. 20:45also get heavier which is kind of
  537. 20:46interesting to think because we've been
  538. 20:48talking about physical environmental
  539. 20:50influences on Obesity like those nice
  540. 20:53green belts and herbine and things like
  541. 20:54that what they're saying is that social
  542. 20:57networks can be an engine for greater
  543. 21:00obesity or less obesity they can also
  544. 21:02influence the spread of Happiness so if
  545. 21:04you join a network and one of your
  546. 21:06friends gets more depressed you're more
  547. 21:08likely to follow that mood that's one of
  548. 21:10the things they found in their book they
  549. 21:12also have some really interesting
  550. 21:13examples from Facebook influence how how
  551. 21:17uh friends on Facebook affect each
  552. 21:19other's preferences for music for movies
  553. 21:21and we'll show some slides of that
  554. 21:22what's your name Amber Amber thank you
  555. 21:24Amber question so the question is why
  556. 21:27didn't they plan a downtown and Irvine
  557. 21:29and we're going to talk later in the
  558. 21:31course about pro- density and anti-d
  559. 21:34density designers uh people like Thomas
  560. 21:37Jefferson who wanted to live on a
  561. 21:38Mountaintop in Montello Virginia hated
  562. 21:40density he the worst thing for him was
  563. 21:42living in a crowded City and yet other
  564. 21:45planners and designers like Lake
  565. 21:47corbusier in France uh designing cities
  566. 21:50for millions of people they felt that
  567. 21:52density was where culture happens that's
  568. 21:54where you get people together but in
  569. 21:56Irvine there was more influence on
  570. 21:58trying to avoid these downtown
  571. 22:00conglomerates and so you have this sort
  572. 22:02of spread out feel and some would say a
  573. 22:05little bit of a sprawl uh but that's one
  574. 22:08of the things that went into the the
  575. 22:09reasoning yeah yeah I'm not saying
  576. 22:12Irvine is super walkable I think uh you
  577. 22:15have to like if you want to get from
  578. 22:16campus down to Woodbridge you probably
  579. 22:19have to jump on a bus or you know there
  580. 22:21are bike Lanes but it's very spread out
  581. 22:24you know from the southern side to the
  582. 22:26northern side to get to North Northwood
  583. 22:29so yeah it's the dimensions are not
  584. 22:31easily walkable it's definitely not
  585. 22:33walkable okay so Mark's going to run an
  586. 22:37animation of this network just to show
  587. 22:39you kind of what happened as people were
  588. 22:43in this network experienced you know
  589. 22:45friends of theirs getting heavier also
  590. 22:47there are the the color of the lines
  591. 22:50between the different people in the
  592. 22:52network uh show their relationship so
  593. 22:54the red lines are friends and then
  594. 22:56you've got a relationship with family
  595. 22:58members yeah if you go to that yeah
  596. 23:01that's
  597. 23:03it a dynamic graphic representation of a
  598. 23:07portion of the Framingham heart study
  599. 23:09social network each circle or node
  600. 23:12represents one person in the data set
  601. 23:15nodes with red borders are women and
  602. 23:18nodes with blue borders are men
  603. 23:21the proportional to each person's body
  604. 23:24mass index or BM which is the weight and
  605. 23:28K
  606. 23:29divided by the square of the height in
  607. 23:31meters a yellow node represents an obese
  608. 23:34person with a BMI greater than 30 and a
  609. 23:37green node represents a non-obese person
  610. 23:40a line between two nodes represents
  611. 23:43social connection between two people
  612. 23:46purple lines connecting noes denote
  613. 23:48close genetic ties for example parents
  614. 23:51children and siblings gray lines denote
  615. 23:55non- gentic relations such as friends
  616. 23:57and spouses
  617. 24:00obesity is a multicentric epidemic with
  618. 24:03many people influencing one another and
  619. 24:05forming ties in complex
  620. 24:09ways the network gets more Compact and
  621. 24:12dense as more ties
  622. 24:15appear and the entire network gets
  623. 24:18heavier over
  624. 24:20time quantitative analysis demonstrate a
  625. 24:23tendency for obese people and non-obese
  626. 24:26people to form clusters Within
  627. 24:29Network so that by the end of the study
  628. 24:32this clustering can be discerned as in
  629. 24:34the densely interconnected clusters of
  630. 24:37obese persons here and here and the
  631. 24:41non-obese persons here the prevalence of
  632. 24:44obesity appears lower at the periphery
  633. 24:47of the network as compared with the
  634. 24:53center okay so remember this is
  635. 24:56happening between 197 1 to
  636. 24:592003 and this these sketches that we
  637. 25:02showed you are what we call Multiplex
  638. 25:04networks which is to say there are many
  639. 25:06different subn networks represented so
  640. 25:07you've got friendship networks you've
  641. 25:09got spousal networks you've got sexual
  642. 25:12partner networks uh you've got other you
  643. 25:15know second and third cousin networks
  644. 25:16all lumped together and when you turn
  645. 25:19when you disaggregate those you see uh
  646. 25:21the same kind of patterns where people
  647. 25:23are influencing themselves in a either a
  648. 25:25heavier or lighter lighter weight
  649. 25:27Direction but it's especially prominent
  650. 25:29for friendship networks somehow our
  651. 25:31peers our friends have a the greatest
  652. 25:33influence on that weight Factor yeah
  653. 25:36yeah now that's a good question is it
  654. 25:37self- selection where people are looking
  655. 25:39for other heavy people so they don't
  656. 25:41stand out as much or they feel you know
  657. 25:43sort of ver validated uh and they
  658. 25:46control for that and what they found is
  659. 25:48even controlling for self- selection it
  660. 25:50was the influence over time in a causal
  661. 25:53way that accounted for that increase in
  662. 25:56weight so yeah interesting qu good
  663. 25:59question and I'm sorry your name again
  664. 26:01Amanda Amanda it's going to take me a
  665. 26:02little while so I'll say what's your
  666. 26:03name what's your name okay
  667. 26:06um okay next now so this is a book that
  668. 26:10uh christakis and Fowler did in 2009
  669. 26:13connected and they were very interested
  670. 26:16in looking at how social networks affect
  671. 26:20health and so just some basic
  672. 26:24terminology a social network consists of
  673. 26:26all the connections and ties with a
  674. 26:28group or collection of groups and a
  675. 26:30group is a collection of individuals
  676. 26:32defined by a common attribute okay so
  677. 26:35these are all each of these little
  678. 26:37circles are individuals and they're tied
  679. 26:39together uh in some cases individuals
  680. 26:41will be out on the periphery not
  681. 26:42necessarily linked to others but that's
  682. 26:44that's what they mean by a social
  683. 26:49network and so a node in that network is
  684. 26:52one person and embeddedness of the
  685. 26:55person is the degree to which they're
  686. 26:57connected within a network n so this is
  687. 26:59a more embedded Central person they're
  688. 27:01connected to a lot of others this would
  689. 27:03be a less embedded peripheral person in
  690. 27:05that Network what's happened for our
  691. 27:07country as a whole is that our social
  692. 27:10network in the US has gotten heavier
  693. 27:11from 30% in 2000 to 36% now uh and these
  694. 27:18lines represent links or relationships
  695. 27:21between two
  696. 27:23people the simplest network is a diet or
  697. 27:26a pair of people
  698. 27:28and they get together to form larger
  699. 27:31inter interconnected webs of
  700. 27:34relationships now we're going to talk
  701. 27:36about some of their research on Facebook
  702. 27:38users so the average Facebook user has
  703. 27:41about 110 friends and I'm sure many of
  704. 27:43you have maybe thousands but uh
  705. 27:46nonetheless the average is about 110 of
  706. 27:49those approximately 6.6 are close
  707. 27:52friends in the
  708. 27:54Facebook we'll we'll talk about what
  709. 27:56they mean by close friends in the
  710. 27:58Facebook study of online social networks
  711. 28:00Chris sakas and fer used the tagged
  712. 28:02photos people that you tag others in
  713. 28:05pictures as a definition of who's a
  714. 28:07close friend because they in a in a
  715. 28:11sense they have real world connections
  716. 28:12they were in a picture together so they
  717. 28:14must be that's the uh sort of
  718. 28:17determinant or Criterion they used okay
  719. 28:20so these online social networks are
  720. 28:22reflecting both your real world offline
  721. 28:24interactions as well as these new
  722. 28:26virtual connections
  723. 28:29now what they found is that when they
  724. 28:31looked at how just like they did the
  725. 28:33Framingham heart study where they were
  726. 28:35looking at how people influen each other
  727. 28:38getting heavier or lighter you know if
  728. 28:40somebody in your network gets lighter
  729. 28:41you you tend to get lighter not heavier
  730. 28:43but they said okay what about how people
  731. 28:46influence each other on Facebook so if
  732. 28:47you put up that you like the Beatles or
  733. 28:50you like the group called The Killers um
  734. 28:53is somebody else going to pick up on
  735. 28:54that and and then like it themselves and
  736. 28:58what how what did they find what do you
  737. 28:59think they found for all Facebook
  738. 29:02friends whether they were close friends
  739. 29:04or not close friends did did do you
  740. 29:06think they found these relationships
  741. 29:08what what did they find if you were
  742. 29:10looking for influence among different
  743. 29:11people in The Social Network on their
  744. 29:13friends taste in music books movies you
  745. 29:16think they found it for everybody in
  746. 29:18their friendship networks on Facebook or
  747. 29:21a subset of those fren friends what do
  748. 29:23you think who influenced whom the most
  749. 29:25okay yeah the people who were the tag
  750. 29:28photo friends that you tag yourself or
  751. 29:30them in photos among those people there
  752. 29:33were profound sort of overtime
  753. 29:36influences so if one friend in that
  754. 29:38Network says they like a particular
  755. 29:40musical group then their friends their
  756. 29:43close friends follow suit just like we
  757. 29:45saw in the Obesity Network and the
  758. 29:47Beatles are a pretty popular group so
  759. 29:50it's more they're more diffusely liked
  760. 29:51by a lot of people in that Network
  761. 29:53whereas the killers are more kind of
  762. 29:55acquired taste so they're more of they
  763. 29:58call them a tight cluster of music fans
  764. 30:00for that
  765. 30:01group
  766. 30:04okay now that's kind of an interesting
  767. 30:07example of what happens on Facebook in
  768. 30:08terms of social network influence
  769. 30:11another thing that happens on Facebook
  770. 30:14and as you know we're interested in this
  771. 30:16class not just in place-based
  772. 30:17environments like this classroom but
  773. 30:19virtual environments which might be a
  774. 30:21distance distance education uh chat room
  775. 30:24for example so we're we're starting to
  776. 30:26layer our virtual environments on top of
  777. 30:29our place-based real environments but
  778. 30:32one of the questions that comes up is
  779. 30:35when people put up their profiles are
  780. 30:36they trying to sort of misrepresent
  781. 30:39themselves as ideal so do you put up a a
  782. 30:42picture or a description of your
  783. 30:43interest that makes you look better more
  784. 30:46ideal or do you kind of sort of play out
  785. 30:49your regular personality in real life on
  786. 30:51your Facebook page and this group uh
  787. 30:54it's a it's an article assigned for
  788. 30:56today uh did a study where they had
  789. 30:59people First Rate their own
  790. 31:00personalities on a set of standard
  791. 31:02personality scales there about 236
  792. 31:05subjects in the US and in Germany and
  793. 31:07then they had observers for the US uh
  794. 31:11individuals they had observers rate
  795. 31:13their personalities both in terms of
  796. 31:15their actual personality and whether
  797. 31:17they uh were trying to idealize
  798. 31:19themselves and the individuals who put
  799. 31:21up the profiles also rated what they
  800. 31:23would like ideally to be like so you
  801. 31:25could compare their sort of actual
  802. 31:27ratings I'm like this actually versus I
  803. 31:29would really like to be that way and
  804. 31:32they they had these two hypotheses the
  805. 31:34IDE idealized virtual identity
  806. 31:36hypothesis says that profile owners
  807. 31:39display idealized characteristics that
  808. 31:40do not reflect their actual personality
  809. 31:42so there's a lot of sort of fibbing and
  810. 31:44misrepresentation going on and that's
  811. 31:46like you see these dating sites saying
  812. 31:49you know you don't know what you're
  813. 31:50getting because people are putting up
  814. 31:51pictures that are just awesome and then
  815. 31:54when you meet people on you know offline
  816. 31:56they're not as awesome is the the photos
  817. 31:59and then this other uh hypothesis says
  818. 32:02extended real life people use online
  819. 32:04social networks to communic communicate
  820. 32:06their real personality and what did they
  821. 32:08find in that study when you look at
  822. 32:10those personality scales there are
  823. 32:11certain attributes that are easier for
  824. 32:14observers to pick up on like you look at
  825. 32:15somebody's page or you go into their
  826. 32:18dorm room you can tell if they're
  827. 32:20extroverted they're outgoing you know uh
  828. 32:22or you might be able to tell if they're
  829. 32:24more
  830. 32:24introverted uh less outgoing um you can
  831. 32:28tell if they're neat you know
  832. 32:29obsessively neat or everything anything
  833. 32:32goes and everything's cluttered all over
  834. 32:34but to pick up on things like
  835. 32:35neuroticism is somebody neurotic or they
  836. 32:37a little off you know that's that's
  837. 32:39pretty hard to pick up on so uh some of
  838. 32:42the big five and Big 10 personality
  839. 32:44factors on those scales were easier for
  840. 32:46people to agree on but across all of
  841. 32:48them the greater support when you
  842. 32:51control for idealized Facebook images
  843. 32:54that or that or Facebook aspirations uh
  844. 32:58where people want to be ideal in some
  845. 33:00way you control for those ideal
  846. 33:02representations or reports on a
  847. 33:04personality scale you see that they
  848. 33:05Facebook pages actually show more how
  849. 33:08others perceive them to be actually and
  850. 33:10how they perceive themselves to be
  851. 33:11actually so uh an interesting study
  852. 33:14there in terms of how people are using
  853. 33:15these these social networks that's one
  854. 33:18of the reasons of course that employers
  855. 33:20want to get your password to Facebook so
  856. 33:22they can really do some ethnographic uh
  857. 33:25studies of prospective employees
  858. 33:28and there's a lot of uh battle going on
  859. 33:30right now as to whether employees should
  860. 33:31really be able to get those passwords
  861. 33:34because they they take them as pretty
  862. 33:36good representations of what people are
  863. 33:41like now another factor that I want to
  864. 33:44talk about in terms of network theory is
  865. 33:46something called scale-free networks
  866. 33:50versus random networks a random network
  867. 33:52is where you have the nodes distributed
  868. 33:55kind of
  869. 33:56evenly so if if you were looking at um
  870. 34:00the nodes in a network and how many
  871. 34:02links are in each node the typical node
  872. 34:04would have a lot of links but then on
  873. 34:06the outside edges they'd have fewer
  874. 34:09whereas in a power law kind of
  875. 34:11distribution and this would this would
  876. 34:13be like if the airports in the US were
  877. 34:15evenly distributed randomly this is like
  878. 34:18the Hub system so you've got Chicago
  879. 34:20you've got Dallas La Seattle that's a
  880. 34:23scale-free network in the sense that
  881. 34:26these networks continue to to add more
  882. 34:28and more flights and more and more
  883. 34:29connections so they get to be mega mega
  884. 34:32hubs and they're particularly
  885. 34:33influential much more so if you have a
  886. 34:35random distribution of equally
  887. 34:37influential hubs so this is called a
  888. 34:39power law distribution of node links the
  889. 34:42number of nodes in a network very few of
  890. 34:45them are these hubs over here that have
  891. 34:47a huge number of links okay so that's
  892. 34:49that's what this is saying whereas here
  893. 34:51each node would have about the same
  894. 34:53number of links and they would be
  895. 34:54distributed normally in that that curve
  896. 34:58so the internet is a pretty good example
  897. 35:00when you have web portals like Google
  898. 35:02and Facebook they are Mega nodes okay
  899. 35:04they're they're scale-free networks they
  900. 35:06continue to get more and more connected
  901. 35:07there's no limit to them and in that
  902. 35:09sense they're
  903. 35:12scale-free another area where you can
  904. 35:14see these tendencies in network growth
  905. 35:17and hub growth is in science and
  906. 35:19research where there's been a kind of
  907. 35:21evolution uh toward team science and
  908. 35:24large research networks so in the days
  909. 35:25of the single creative genius
  910. 35:28you know like Darwin or Einstein or
  911. 35:32Beethoven um you had folks kind of
  912. 35:34working on their own few intellectual
  913. 35:36few a few uh influential thinkers
  914. 35:39Galileo Newton Darwin Einstein and
  915. 35:42what's happened over time is there's
  916. 35:44been this growth toward Network science
  917. 35:47to where now we talk about team science
  918. 35:50interdisiplinary team science where
  919. 35:51people are being coaxed into
  920. 35:53interdisciplinary teams because
  921. 35:55knowledge is getting so specialized that
  922. 35:57people if you're a psychologist you
  923. 35:59don't know enough about Neuroscience or
  924. 36:01about sociology to work on your own
  925. 36:03you've got to partner with these other
  926. 36:04people to fill in those gaps so nowadays
  927. 36:07uh we have you know the Watson and Crick
  928. 36:09collaboration that that was kind of on
  929. 36:12the way toward large research networks
  930. 36:14where you had a diad Watson and Crick uh
  931. 36:17discover the structure of DNA but
  932. 36:19nowadays we have these Mega research
  933. 36:22centers where people are reinforced to
  934. 36:24work in a very large Network
  935. 36:28yeah so when you're trying to address
  936. 36:31huge issues like the structure of DNA or
  937. 36:34getting to the moon or atomic energy or
  938. 36:37space flight there's no way that you can
  939. 36:40get there without a kind of team
  940. 36:41approach a networked approach so there's
  941. 36:43a lot of interest these days in network
  942. 36:45science and many of these research
  943. 36:48agencies and Foundations are pouring
  944. 36:50money into setting up transdisciplinary
  945. 36:53research centers so when we say the
  946. 36:55School of Social ecology puts a big
  947. 36:56premium on disciplinarity one of the
  948. 36:59things that's good for you coming out of
  949. 37:00a school of social ecology and getting
  950. 37:02some of that exposure is that you'll
  951. 37:04have some appreciation of what that
  952. 37:06means because more and more Fields more
  953. 37:07and more businesses are requiring team
  954. 37:10collaboration so National Institute of
  955. 37:13Health uh MacArthur Foundation which is
  956. 37:15a private Research Foundation Robert
  957. 37:17Wood Johnson Foundation National Academy
  958. 37:19of Sciences kek Foundation they're all
  959. 37:21putting huge amounts of money into
  960. 37:23creating scientific
  961. 37:24teams sometimes they work well and
  962. 37:27sometimes they don't work so well people
  963. 37:28get together and it's like a Tower of
  964. 37:29Babel they can't understand each other
  965. 37:31they don't like each other because they
  966. 37:32have different World Views it doesn't
  967. 37:34always work but this is the trend when
  968. 37:36we started the School of Social ecology
  969. 37:38the program in Social ecology in the 70s
  970. 37:40a lot of the administrators on this
  971. 37:41campus thought it was a dumb idea
  972. 37:43because it would be broad but it
  973. 37:45wouldn't be deep you'd have a lot of
  974. 37:46people speaking different languages and
  975. 37:47they couldn't really connect
  976. 37:50nowadays research centers and
  977. 37:53departments and schools are falling over
  978. 37:54each other trying to show how
  979. 37:55interdisiplinary they are so it's become
  980. 37:57more of a bandwagon effect you know
  981. 38:00motherhood and apple pie type of thing
  982. 38:02but it doesn't always work and we'll
  983. 38:03talk about some of the ways it
  984. 38:05doesn't this is an example of a tobacco
  985. 38:08science network uh where people were uh
  986. 38:11encouraged to form these tobacco use
  987. 38:13prevention centers and you can see how
  988. 38:16the networks evolved across those seven
  989. 38:18centers here whereas these are
  990. 38:20individual NIH grants where you have
  991. 38:22much smaller uh networks the nodes
  992. 38:25aren't as connected to as many people
  993. 38:27people and some would say well this is
  994. 38:29better you know the more networking you
  995. 38:31get going on the better doesn't
  996. 38:33necessarily mean that these links and
  997. 38:34these nodes are doing anything
  998. 38:36productive they're just you know
  999. 38:37connected in some way they might have a
  1000. 38:38telephone conversation they might
  1001. 38:39publish a paper together but the data
  1002. 38:42are still out as to whether this kind of
  1003. 38:44networking pattern in science is not as
  1004. 38:46good as this or vice
  1005. 38:49versa this is another uh National
  1006. 38:51Institute of Health Center for
  1007. 38:53population health and health disparities
  1008. 38:55and they started out with these
  1009. 38:56different University City based centers
  1010. 38:59Ohio State
  1011. 39:00tus University of Pennsylvania and their
  1012. 39:03different colors and this is what they
  1013. 39:04look like at the beginning of the the
  1014. 39:06first year of that initiative and then
  1015. 39:08as they worked together uh they got a
  1016. 39:11lot more interconnected and so when they
  1017. 39:13went to apply for refunding they said
  1018. 39:15look we're really networked we did our
  1019. 39:17job it's great but as I said there a lot
  1020. 39:21more research has to go on now to sort
  1021. 39:23of calibrate you know what's the value
  1022. 39:25of the science coming out of a network
  1023. 39:28like this versus one where people are
  1024. 39:29working more individually some would say
  1025. 39:31that you get less group think when you
  1026. 39:33give more grants to fewer people because
  1027. 39:35they come at it from a lot of different
  1028. 39:36angles and they don't start developing
  1029. 39:38this Conformity of
  1030. 39:40thought now this is an interesting study
  1031. 39:43uh published in nature which is a very
  1032. 39:46prestigious Journal it's called The
  1033. 39:48Swedish sex web study and basically they
  1034. 39:51were looking at whether there's a power
  1035. 39:53law distribution of sexual nodes in the
  1036. 39:56population in Sweden so they had
  1037. 39:594,781 sweds aged 18 to 74 59% response
  1038. 40:05rate and here you have the number of
  1039. 40:07linkages sexual partners where over here
  1040. 40:10on the edge you've got some power nodes
  1041. 40:1310 to the three Partners here you've got
  1042. 40:15you know 10 to the one 10 Partners here
  1043. 40:17you've got 10 to you 100 and what they
  1044. 40:20find is this power law distribution
  1045. 40:22where most people are not off on this
  1046. 40:25edge of the network here uh to totally
  1047. 40:28promiscuous but why is this important is
  1048. 40:30this just kind of a strange thing that
  1049. 40:32some researchers decided to do and they
  1050. 40:33got it published why is it what are the
  1051. 40:35implications of this does it have any
  1052. 40:37real world value is it just some jaded
  1053. 40:39study that was done what do you
  1054. 40:42think how would you apply these
  1055. 40:44results yeah health research okay so for
  1056. 40:48public health research good what's your
  1057. 40:51name Susan right okay so Susan saying if
  1058. 40:54you're a public health researcher and
  1059. 40:56you're trying to decide how can we
  1060. 40:58prevent
  1061. 40:59STDs well maybe rather than doing
  1062. 41:02scattershot uh shotgun approach giving
  1063. 41:05uh information out to everybody in the
  1064. 41:07population or preventive measures to
  1065. 41:09everybody maybe you try to identify
  1066. 41:11through networking studies to the extent
  1067. 41:13that people will tell you these things
  1068. 41:14about their Lifestyles if you can
  1069. 41:16identify the people that are extremely
  1070. 41:19active sexually they are likely to be
  1071. 41:20the hubs for spreading STDs so if you
  1072. 41:23can get to them and sort of lower their
  1073. 41:26profile in terms of of uh infection
  1074. 41:28rates and things like that then it's a
  1075. 41:30much more effective more targeted more
  1076. 41:32cost effective Public Health strategy so
  1077. 41:35but again it picks up on that idea that
  1078. 41:38you've got a a scale-free network you've
  1079. 41:40got some people that have seems like
  1080. 41:42limited
  1081. 41:43Limitless U contacts with others and
  1082. 41:46then you've got you know people that are
  1083. 41:47more in the usual range and they're
  1084. 41:50saying this is your target of
  1085. 41:51opportunity over here if you can
  1086. 41:52identify those people in terms of
  1087. 41:54prevention that's where you want to go
  1088. 41:58okay uh let's go
  1089. 42:00back so uh Mark's going to play uh kind
  1090. 42:04of an interesting interview here by
  1091. 42:05Steven colar I think you'll get a kick
  1092. 42:07out of it of one of the authors of this
  1093. 42:09book connected um James Fowler so we
  1094. 42:13just play this and then we'll take a
  1095. 42:19break okay so that's a pretty good
  1096. 42:21translation of what I was trying to say
  1097. 42:23earlier um I'm going to switch gears a
  1098. 42:26little bit here and uh Prelude to next
  1099. 42:30week where we're going to be talking
  1100. 42:32more about principles of environmental
  1101. 42:34psychology and there are a couple of
  1102. 42:37Articles assigned one uh by Baron and
  1103. 42:41and B and others on environmental
  1104. 42:43psychology and what it is why we're
  1105. 42:45studying it things like that and then
  1106. 42:48there's another article that I wrote uh
  1107. 42:50some years ago actually but it it offers
  1108. 42:52a conceptual framework for organizing
  1109. 42:55what we're covering in this class in in
  1110. 42:57terms of different types of environment
  1111. 42:58Behavior research so I want to go over
  1112. 43:00that basic framework today so you'll
  1113. 43:02have that as sort of a cognitive map
  1114. 43:04going forward so first of all in terms
  1115. 43:06of some basic principles of what is
  1116. 43:08environmental
  1117. 43:09psychology um we know that it includes
  1118. 43:11different types of environments we've
  1119. 43:13got built environments natural
  1120. 43:14environments you know human designed
  1121. 43:16completely natural we've got virtual and
  1122. 43:19cyber based as well as place-based and
  1123. 43:21we've got to look at how those
  1124. 43:22interrelate now we never had to do that
  1125. 43:24in the 70s and 80s but now we do um
  1126. 43:27we're talking about what we call
  1127. 43:29transactional relationships which is a
  1128. 43:31kind of give and take two-way
  1129. 43:33relationship the environment influences
  1130. 43:35you you work back and try to influence
  1131. 43:37the environment so it's a reciprocal
  1132. 43:39kind of thing that goes on in cycles and
  1133. 43:42uh there are these psychological and
  1134. 43:44behavioral processes that we'll focus on
  1135. 43:47as sort of inherent in these
  1136. 43:50transactional relations between people
  1137. 43:51and their surroundings environmental
  1138. 43:54psychology is inherently
  1139. 43:55interdisiplinary we talked already about
  1140. 43:57how we're going to bring in geography
  1141. 43:59architecture urban planning
  1142. 44:01developmental psychology natural
  1143. 44:03resources management a lot of different
  1144. 44:05areas public policy to be able to both
  1145. 44:09capture the research that's done in
  1146. 44:11environmental psychology as well as its
  1147. 44:12Community problem solving orientation so
  1148. 44:15we want to look at well if we have
  1149. 44:17principles of how to design defensible
  1150. 44:19space how do we do that in an apartment
  1151. 44:21building or how do we make the City of
  1152. 44:23Irvine more imageable or easier to find
  1153. 44:26your way around so we want to sort of
  1154. 44:27apply those principles in actual
  1155. 44:30environments and the second half of this
  1156. 44:32course after the midterm exam really
  1157. 44:35focuses in Earnest on translating what
  1158. 44:37we're covering the first half of the
  1159. 44:38course into these real world kind of
  1160. 44:41environments whether it's schools
  1161. 44:43offices Health Care settings and the
  1162. 44:46like now when I talk about transactional
  1163. 44:48relationships these are some sort of
  1164. 44:50curly C figures here that basically what
  1165. 44:53they're saying is this is an optimal
  1166. 44:56situation where you're not living in a
  1167. 44:58dysfunctional environment you're living
  1168. 44:59in an environment that lets you kind of
  1169. 45:01work back on it and change it so you
  1170. 45:03move into a dorm and you're your
  1171. 45:05roommates are pretty uh easy to get
  1172. 45:08along with and you all kind of work out
  1173. 45:09ways to share the room share the space
  1174. 45:12so you come in and and you the
  1175. 45:14environment affects you and then you
  1176. 45:15start to do things to the environment
  1177. 45:17you put up some pictures or you you come
  1178. 45:19up with some some Norms that then affect
  1179. 45:22uh your future behavior in terms of how
  1180. 45:23to share the space and it's an ongoing
  1181. 45:26cycle of optimization processes where
  1182. 45:28you're trying to increase that fit or
  1183. 45:30Harmony between yourself and your
  1184. 45:31surroundings now if you're living in a
  1185. 45:34hard architecture or dysfunctional
  1186. 45:36environment place or a poverty-stricken
  1187. 45:40neighborhood then what you've got is an
  1188. 45:42environment a rigid environment at time
  1189. 45:44one basically dictating your behavior at
  1190. 45:47time one you try to work back and change
  1191. 45:48it but you can't you're blocked and then
  1192. 45:51at time two it's dictating your behavior
  1193. 45:52and at time three and every time you try
  1194. 45:54to work back and change it you're
  1195. 45:56blocked either because you don't have
  1196. 45:57financial resources or because you're a
  1197. 46:00kid living in a building that has so
  1198. 46:02much noise and pollution you know we
  1199. 46:04talk about health promotion getting kids
  1200. 46:05to go outside and exercise but if
  1201. 46:07they're constantly breathing this stuff
  1202. 46:09by their building because they're right
  1203. 46:10next to a freeway the cards are pretty
  1204. 46:13stacked against them right so they these
  1205. 46:15barriers these blocks prevent this kind
  1206. 46:18of reciprocal
  1207. 46:20transactional uh give and take and so
  1208. 46:23what we're striving for in environmental
  1209. 46:26design and applying these principles to
  1210. 46:28actual real world environments is to
  1211. 46:29increase optimization and optimization
  1212. 46:33is a very high bar you can't always have
  1213. 46:35your optimal you know exactly what you
  1214. 46:37want in environment but it's a kind of
  1215. 46:38aspiration it's an ASM toote that we
  1216. 46:40strive toward to make it continually
  1217. 46:42better often we have to satisfy so we
  1218. 46:44have to put up with you know the best we
  1219. 46:46can get in an environment rather than
  1220. 46:48optimal but here you can't even do that
  1221. 46:51you can't even work toward a more
  1222. 46:52satisfactory situation because the
  1223. 46:54environment is so rigid it just doesn't
  1224. 46:56let you do that
  1225. 46:57so everybody clear on these two
  1226. 46:59processes any questions about
  1227. 47:02that okay
  1228. 47:04good all right so last time I talked
  1229. 47:06about dysfunctional environments and I
  1230. 47:08gave you some examples of the Los
  1231. 47:10Angeles school that's located under the
  1232. 47:13LAX flight path where the kids are
  1233. 47:15listening to 350 overflights a day over
  1234. 47:18their school I also showed you uh the Pu
  1235. 47:21IO buildings that were being knocked
  1236. 47:23down because they were dysfunctional
  1237. 47:25people just wouldn't live there lots of
  1238. 47:27crime vandalism So eventually they the
  1239. 47:30whole thing had to be raised and torn
  1240. 47:31down this is another example in New York
  1241. 47:34City these are the Washington Bridge
  1242. 47:36Apartments built over directly over the
  1243. 47:39trans Manhattan Expressway in New York
  1244. 47:41so you can see this very heavily
  1245. 47:44traveled Expressway going right under
  1246. 47:46these four buildings they four high-rise
  1247. 47:48towers and some Architects thought that
  1248. 47:50was kind of a neat design you know put
  1249. 47:53people near their roadways and all that
  1250. 47:55but it creates uh tremendous exposure of
  1251. 47:58the residents here to the noise to the
  1252. 48:00pollution and in that respect it's
  1253. 48:02dysfunctional in terms of their health
  1254. 48:04outcomes and in terms of their behavior
  1255. 48:06it's very hard to get out there and get
  1256. 48:08to a walkable environment because you're
  1257. 48:10surrounded by freeways and so sometimes
  1258. 48:12we don't really think about how the
  1259. 48:14environments we grow up in and where
  1260. 48:15we're living uh affect our development
  1261. 48:19affect our well-being our mood but they
  1262. 48:21have a profound impact on us even the
  1263. 48:23ambient environment like looking out a
  1264. 48:25hospital window at a a park in trees
  1265. 48:29versus looking out at the wall of
  1266. 48:30another hospital building makes a big
  1267. 48:32difference according to that study we
  1268. 48:34talked about last time in terms of rate
  1269. 48:36of recovery how much pain medication
  1270. 48:38people take so this issue of functional
  1271. 48:40and dysfunctional environments and
  1272. 48:42environments that allow you to optimize
  1273. 48:44versus gr grind you into the ground
  1274. 48:46because they won't let you do anything
  1275. 48:47to them how many of you have ever been
  1276. 48:49in a a hard environment that doesn't let
  1277. 48:51you kind of work back on it or improve
  1278. 48:54it any any examples of that in terms of
  1279. 48:56you know
  1280. 48:57anyone want to volunteer an
  1281. 49:00example like what's a really
  1282. 49:03dysfunctional uh hard architecture place
  1283. 49:05or something that you know really uh had
  1284. 49:10a big impact on you because it was so
  1285. 49:12constraining
  1286. 49:13Mike use Office Cub as well to decorate
  1287. 49:16those but they're still they're still
  1288. 49:18pretty tight yeah the open plan office
  1289. 49:20movement created a sea of cubicles for
  1290. 49:23the American Workforce they were
  1291. 49:25actually imported from
  1292. 49:27uh a company in Germany that came up
  1293. 49:29with this this open space idea and
  1294. 49:32people started to really dislike it
  1295. 49:34because there was so much distraction
  1296. 49:35there was so much uh anonymity you
  1297. 49:37couldn't really get a sense of personal
  1298. 49:39identity in them so now we have much
  1299. 49:42less emphasis on just open plan and much
  1300. 49:44more on sort of comi environments where
  1301. 49:46you have private spaces where people can
  1302. 49:48work team spaces meditation spaces
  1303. 49:51recreational daycare you've got a much
  1304. 49:52more multi-functional kind of workplace
  1305. 49:56uh yeah I yeah well sometimes people
  1306. 49:58complain that Irvine is so uniform it
  1307. 50:00all looks the same that it's kind of a
  1308. 50:03hard environment because it's hard for
  1309. 50:05wayf finding you don't get a sense of
  1310. 50:07individual identity you go to a place
  1311. 50:09like lagona beach and people are sort of
  1312. 50:11you know they have different Lifestyles
  1313. 50:13very diverse um so you know some
  1314. 50:15environments can be so uniform that
  1315. 50:17people find those constraining and a lot
  1316. 50:19depends on fit you know if you're upper
  1317. 50:22middle class affluent family that wants
  1318. 50:24to raise kids in a very safe environment
  1319. 50:26Great Schools maybe Irvine's a ticket
  1320. 50:29but if you're someone looking for more
  1321. 50:30diverse recreational opportunities
  1322. 50:32nighttime activities Music open all
  1323. 50:34night you're not going to find it nine
  1324. 50:36structure of it yeah well Church design
  1325. 50:39tends to be very Monumental because it's
  1326. 50:41a edifice in the glory of God so you're
  1327. 50:43You're Building very tall structures
  1328. 50:45you're You're Building Church
  1329. 50:47environments where people they're not
  1330. 50:49soopal people aren't supposed to talk a
  1331. 50:51lot in church they're sociofugal you
  1332. 50:52just look ahead at what the preacher
  1333. 50:55minister is saying and and so there's a
  1334. 50:57lot of reasons why you get that kind of
  1335. 50:58hardness to church environments or even
  1336. 51:01Library
  1337. 51:02environments although not all libraries
  1338. 51:04are like that if you if you go to
  1339. 51:05Huntington Beach Library which is built
  1340. 51:07like a park you can it has all glass
  1341. 51:09windows and it's got water elements
  1342. 51:11brought into the interior it's a very
  1343. 51:13sort of park-like Library a couple of
  1344. 51:16other slides and I'll close okay I
  1345. 51:18talked about this framework laid out in
  1346. 51:20the chapter that I wrote which is a
  1347. 51:22pretty good road map of the different
  1348. 51:23areas we're going to be talking about in
  1349. 51:24this class and what this says we call
  1350. 51:28them modes or or styles of of human
  1351. 51:31environment
  1352. 51:32transaction and when you're active and
  1353. 51:34you're active cognitively you're trying
  1354. 51:36to interpret your environment so you get
  1355. 51:38to Irvine UCI you're trying to make
  1356. 51:39sense out of where's everything located
  1357. 51:41do you like it um does it fit your
  1358. 51:44personality or not so you're trying to
  1359. 51:46interpret is there a good fit here so
  1360. 51:48when we talk about cognitive mapping
  1361. 51:50research on April 17th we're starting
  1362. 51:52with the interpretive mode of how people
  1363. 51:54relate to their environments then we
  1364. 51:56come down here to the evaluative mode
  1365. 51:58that's reactive we're reacting to
  1366. 52:00something we develop an attitude about
  1367. 52:02it or we assess an environment like a
  1368. 52:04classroom whether it's good or bad in
  1369. 52:06what ways and we assess people's uh
  1370. 52:09attitudes toward a whole range of
  1371. 52:11different kinds of environments that we
  1372. 52:13call the evaluative mode because people
  1373. 52:16are reacting but they're doing it
  1374. 52:17cognitively or emotionally over here
  1375. 52:20active behavioral is where you're
  1376. 52:22operating on the environment in some way
  1377. 52:24so if somebody crowds you in elevator
  1378. 52:27and you feel uncomfortable a stranger
  1379. 52:29you might move back to increase your
  1380. 52:31personal space so you're taking charge
  1381. 52:33of the space to make yourself more
  1382. 52:34comfortable that's a behavioral
  1383. 52:35operative an active behavioral thing to
  1384. 52:38do so we'll talk about human spatial
  1385. 52:40Behavior we'll talk about
  1386. 52:41environmentally relevant Behavior
  1387. 52:43whether people go for solar whether they
  1388. 52:46use green you know uh fuels and those
  1389. 52:49things like that and then finally the
  1390. 52:51responsive mode is reactive and its
  1391. 52:53behavioral so you can react to a
  1392. 52:56physical environment by uh getting sick
  1393. 52:59you know if you're if you're exposed to
  1394. 53:01some of those environments with a lot of
  1395. 53:02pollution you may get certain health
  1396. 53:04problems um you may decide to leave an
  1397. 53:07environment just drop out or walk out
  1398. 53:09because you don't like it that's a
  1399. 53:10behavioral response so we're going to
  1400. 53:13move across these different modes of
  1401. 53:15interpretive evaluative operative and
  1402. 53:17responsive and each of the areas that we
  1403. 53:19cover has research sort of unpacking how
  1404. 53:23people evaluate their environments
  1405. 53:24interpret them operate on them and
  1406. 53:27respond to them so an example this last
  1407. 53:29slide an example of that would be if you
  1408. 53:31took the interpretive mode for music um
  1409. 53:34and I ask you what kind of music do you
  1410. 53:35like you know you kind of you interpret
  1411. 53:38what you like based on your perception
  1412. 53:40and your preferences or you evaluate it
  1413. 53:42you know you hate that group but you
  1414. 53:43really like this group or you operate on
  1415. 53:46the environment by playing music to
  1416. 53:48relax or create a certain mood so you
  1417. 53:50have a party you want to put certain
  1418. 53:51kind of music on if you want to relax or
  1419. 53:53study have something else that's
  1420. 53:55operating on the environment you take
  1421. 53:56take charge and you decide the music and
  1422. 53:58finally responsive is where the music
  1423. 54:01affects your behavior your social
  1424. 54:03interaction or your physiology some
  1425. 54:05music can pump you up increase your
  1426. 54:06heart rate um some music can create uh
  1427. 54:11much more interaction in spaces and a
  1428. 54:13lot of restaurants use this principle if
  1429. 54:15they want turnover in a restaurant a
  1430. 54:17fast food restaurant they put a lot of
  1431. 54:18fast active music on or things that
  1432. 54:21annoy people if they sit there too long
  1433. 54:23whereas some of your more expensive
  1434. 54:25restaurants will have very lowkey you
  1435. 54:27know mellow music going so it kind of
  1436. 54:29invites people to stay so those are
  1437. 54:32pretty much uh some of the key points if
  1438. 54:34you look at the study guide today for if
  1439. 54:36you look at the study guide for week one
  1440. 54:38you should see pretty much all those
  1441. 54:40points covered that are on the study
  1442. 54:42guide in these lectures I will put up
  1443. 54:44the lecture slides uh probably this
  1444. 54:47evening and then we'll come back uh next
  1445. 54:49Tuesday so have a great weekend

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