Title: Please sit with your group
1Please sit with your group
2Correction to Activity Sheet 7(Crowding)
2 pm
11 am
- There is an error on the website address I gave
for 5 Housing Density - www.census.gov/population/censnusdata/ . . .
- should be www.census.gov/population/censusdata
/. .
3Urban Environments
Exploring person-environment relations in cities,
neighborhoods, and public places
4LIFE IN THE BIG CITY
Is it good? . . . or bad?
5Growth in population in New York City
- 1800 79,000
- 1820 152,000
- 1840 391,000
- 1860 1,175,000
- 1880 1,912,000
- 1900 3,437,000
- 1920 5,621,000
- 1940 7,455,000
- 1960 7,782,000
- 1980 7,072,000
- 2000 8,008,000
Growth 1800-1900 4250
1900-2000 133
6Imagine that youre part of the great migration
from small towns/villages in Europe or the rural
south to NYC.
What are the psychological adjustments youd need
to make?
Anonymity
Less consensus about social norms
Stimulus overload
Rate of change
7LIFE IN THE BIG CITY
- Positives
- Its a carnival!
- More resources (cultural, educational, leisure,
etc) - More job opportunities
- Negatives
- Loosening of social norms (crime, etc)
- Problems from higher density (traffic, noise,
pollution)
8Neighborhoods - the building blocks of cities
- In urban areas, residents sense of attachment is
usually to a smaller area a neighborhood. - Neighborhood is a psychological concept.
- Residents conception of their neighborhood may
not match legal or political boundaries.
9What is a neighborhood?
- Many attempts at definition
- Ask residents to draw neighborhood boundaries
on town map consensus? - use of arbitrary divisions
10Hartfords 17 Neighborhoods
11Census Maps
- Blocks (individual blocks 101, 102, etc.)
- Block Groups (combinations of blocks 100s,
200s, etc.) - Tract (combinations of block groups)
You can get maps with census tract boundaries,
etc. at tiger.census.gov/cgi-bin/mapsurfer
12Neighborhood as an elementary school district
(Warren Warren, 1977)
- chose elementary school district as definition of
neighborhood - clear boundaries
- walkable
- usually 2500-5000 persons
13Classification of Neighborhoods
- Warren Warren used 3 dimensions
- Identity area had clear sense of identity as
a neighborhood (name). - Interaction amount of face-to-face
interaction between neighbors. - Linkages connection of individuals to others
beyond the neighborhood.
14Neighborhood Type Identity
Interaction Linkages
Integral
Parochial
- Diffuse -
- Stepping Stone -
Transitory - -
Anomic - - -
15Group Discussion Questions
- Identify the types of neighborhoods described in
the vignettes. - What kind of neighborhood do you think you live
in? Why?
16 Neighborhood Types
Vignette Integral Parochial Diffuse
Stepping-Stone Transitory Anomic
1 2 3 4 5
?
?
?
?
?
Your Neighbor- hood?
17Neighborhood satisfaction has been linked to . .
.
- Satisfaction with the community as a whole
- Psychological well-being
- Life satisfaction
Urban Neighborhoods and Mental Health1
18What contributes to neighborhood satisfaction?
- Personal factors
- Physical influences
-
- Social Influences
-
19Personal Factors
- People need to adapt to stimulation level of the
neighborhood. - Property ownership people who own property are
generally more satisfied than those who rent.
20Physical Influences
- Aesthetics
- -- building mix (mix of residential
commercial) - -- green space (trees, lawns, places to walk)
- -- open views
- -- physically well-maintained (lawns cut, no
trash) - Noise (unwanted sound)
- -- particularly annoying to suburban residents
21Social Influences
Social Interaction
social interaction
neighborhood satisfaction
physical features
- Safety concerns/crime
- children traffic
- fear of crime (not closely related to
actual crime rate)
22Thought question
- Are streets empty because they are dangerous?
- or . . .
-
Are they dangerous because they are empty?
23Defensible Space proponents would say
- Streets are dangerous because they are empty! (no
natural surveillance from neighbors, etc.) - Make physical changes that
- reduce through traffic by strangers
- increase social interaction natural
surveillance by residents
24How we create defensible space an example
Gates turn through roads into cul-de-sacs Entry
Portal alerts people they are entering a distinct
neighborhood
25Urban Neighborhoods and Mental Health1
1From required reading Urban Neighborhoods and
Mental Health by Abraham Wandersman Maury
Nation.
26Urban Neighborhoods and Mental Health
- Epidemiological evidence of higher rates of
mental illness/social pathology in urban areas - Most research suggests that these higher rates
are not due simply to urban residence (density)
per se, but involve economic and social
correlates of urban living - Wandersman Nation present 3 models that explore
the neighborhood characteristics gt pathology
link
27Neighborhood Structural Characteristics and
Mental Health
28Structural Model
- Links area (census tract, zip code)
characteristics to rates of mental health
problems. - Early studies did not study mediating processes
more recent studies have begun to do this. - Example Child Maltreatment
29Neighborhood Disorder Model and Mental Health
30Neighborhood Disorder Model
- Links mental health to the presence of physical
and social signs of neighborhood decline - Presence of incivilities challenges publics
belief that there are shared norms of appropriate
social and public behavior - Breakdown of such norms leads to increased
anxiety, heightened fear of crime, etc. on part
of residents - Lack of clear norms may also reinforce continued
negative behavior by perpetrators
31Environmental Stressors and Mental Health
32Environmental Stress Model
- Examines the relationship between elements of the
ambient and built environment and mental health - Ambient stressors relatively stable
environmental conditions (noise, crowding, etc.)
which can be stressful by interfering with
important goals or physical or psychological
health - Chronic stressors eventually deplete residents
coping resources which may result in
psychological problems - Some evidence that these effects are most severe
in children (who have fewer coping resources than
adults)
33Environmental Stress Model Some sample findings
- Damons (1977) study of traffic noise in low
income neighborhoods found residents in
high-noise areas had more arrests and took less
care of their properties than residents in
quieter areas. - Baum, Davis Aiello (1978) found that residents
living on busy streets had less social
interaction with neighbors (compared to residents
on less busy streets). - Saegert (1982) compared students living in
high-density, high rise buildings with students
living in low-density, low rise buildings and
found more behavioral problems and lower reading
scores in the first group.
34Temperature and Social Disorder
- 1960s urban riots
- U.S. Riot Commission noted correlation between
temperature and riots - FBI lists climate as a variable in explaining
incidence of crime
35Temperature and Social Disorder
- Lots of studies on violent crime rates
temperature - Most find a positive correlation between
aggression temperature - Some other findings
- More baseball players hit with wild pitches
as temperature increases - Drivers blow their horns more often at
temperatures above 85o F
36Walking in urban environments
- Do people stroll in small towns and march in the
metropolis?? - Yes! Walking speed (on average) appears to be
related to the size of the community - Velocity (in feet/second) .86 log P
(population) .05 New Britain population
70,010 - V .86 (4.845) .05 3.907 feet/sec 2.66 mph
-
37What Makes a Good Neighborhood?
- Sidney Browerinterested in what residents felt
made a good neighborhood - Current nostalgia for 19th century-like small
town neighborhood is misguidedthere is clearly
more than one type of good neighborhood
Celebration, FL
38Brower conceptualized 3 places where lifestyle
and neighborhood form came together
- Ambience kinds of land uses and the spatial and
formal arrangement of the physical environment
which influences neighborhood activity and gives
a place a look and feel. - Engagement the way that residents engage and
avoid engagement with one another and how this is
facilitated or obstructed by the physical and
social features of the neighborhood. - Choicefulness the extent to which residents are
able to choose where, how and with whom they will
live.
39Brower identified 33 characteristics of good
neighborhoods
- He grouped them under the 3 dimensions previously
identified (see handout) - Brower hypothesized 4 types of neighborhoods
- Center
- Small Town
- Residential partnerships
- Retreats
40Type 1 - Center
- A part of the city that is lively and busy, with
lots to see and do, It has a mix of many
different people and uses, and it attracts
visitors from other parts of the city and beyond.
41Type 2 - Small Town
- A place in the city that has the feeling of a
small town, with its own institutions and meeting
places. People who live here know one another and
are able to recognize those who do not live here.
42Type 3 - Residential Partnerships
- A separate residential part of the city, a place
for family and home life. Residents go to other
parts of the city for work, shopping and
entertainment.
43Type 4 - Retreats
- A part of the city where one feels removed from
other people and their activities. People who
live here tend to be independent and go their
separate ways.
44Brower asked Baltimore residents to rate the 33
characteristics as they applied to the 4 types
- He found particular characteristics associated
with each hypothesized type of neighborhood - Respondents were able to identify a particular
neighborhoods in Baltimore that fit these 4 types
45Who prefers these neighborhood types?
- Centers
- Yuppies, newly marrieds, young adults just out
of school or home, adults in their 20s and 30s - Small town
- People who want to settle down, stable,
homebodies, established, have a secure job,
prefer routine to surprises - Residential partnerships
- married families with children
- Retreats
- people who like privacy and quiet, being
alone, independent, anti-social, out of the
mainstream
46You are where you live Activity Sheet
- Based on extensive market research, marketing
companies have developed lifestyle profiles of
every zip code area. - PRIZM 62 clusters
- MicroVision 48 segments
- http//cluster2.claritas.com/YAWYL/Default.wjsp?Sy
stemWL