IDEAS home Printed from https://ideas.repec.org/p/cdl/itsdav/qt7m90q6d5.html
   My bibliography  Save this paper

Do suburban- and traditional-neighborhood residents want different things? Evidence on neighborhood satisfaction and travel behavior

Author

Listed:
  • Lovejoy, Kristin

Abstract

Many factors have contributed to the development of sprawling suburbs in the United States over the past few decades, including the fact that suburbs offer features that many households view as advantages. However, a host of problems have also been associated with suburban development, including traffic congestion, high infrastructure costs, lack of social cohesion, and environmental degradation (e.g. Ewing 1997). Citing such problems, the New Urbanism movement has rallied for a return to more traditional-style neighborhoods—those built before World War II, with an orientation to walking and transit rather than private automobiles, and with a mix of residential and commercial land uses (Fulton 1996). While the concept of New Urbanist communities is appealing to many planners, critics argue that Americans like their conventional suburbs and are uninterested in the features that New Urbanism offers. Indeed, assessments of consumer preferences, including their apparent choices in the market place, have shown preference for conventional suburban developments (reviewed in Ewing 1997, Myers and Gearin 2001). However, it is possible that consumers value only certain features of these neighborhoods, and “could do without the rest of the suburban package” (Ewing 1997, p. 111). There is mixed evidence as to the degree of preference for specific amenities that are usually “embedded in larger residential stereotypes,” both in surveys and in the built environment (Myers and Gearin 2001, p. 639). It is unclear which aspects of these neighborhoods residents actually notice and value. In particular, which neighborhood features are important for residents’ satisfaction with their neighborhoods. To answer this question, Chapter 2 compares how residents experience 2 conventional suburban neighborhoods versus how they experience the type of traditional neighborhood from which new urbanist ideals derive. Based on survey data from residents of suburban and “traditional” neighborhoods in Northern California, we report descriptive statistics on perceptions of neighborhoods, desired neighborhood features, and gaps between the two. In addition, we present modeling results on the determinants of neighborhood satisfaction in each neighborhood type. A second question of interest to the planning community is to what degree residential neighborhoods causally determine travel choices. Many researchers have documented that auto dependence is associated with sprawling development patterns, and have pointed to traditional neighborhood designs as a means of facilitating more transit use and active travel (such as biking and walking), which have been at least ideologically aligned with environmental, health, and social benefits. However, it is unclear to what extent the built environment shapes travel patterns. If we build smart growth, will people give up their cars? In future designs, are there ways to extricate some of the environmentally and socially costly aspects of suburban development, such as those associated with auto dependence, from other, attractive features of the suburbs? To contribute partial answers to these broad questions, Chapter 3 investigates to what degree suburban versus traditional neighborhoods have a homogenizing effect on travel choices, given residents’ diverse travel preferences. In particular, given two residents with the same preference for driving, if they locate in opposite neighborhood types, are there differences in their driving levels? To answer this question we draw on the same survey data used in Chapter 2, presenting comparisons of travel behavior among different combinations of travel preferences and residential neighborhood type.

Suggested Citation

  • Lovejoy, Kristin, 2006. "Do suburban- and traditional-neighborhood residents want different things? Evidence on neighborhood satisfaction and travel behavior," Institute of Transportation Studies, Working Paper Series qt7m90q6d5, Institute of Transportation Studies, UC Davis.
  • Handle: RePEc:cdl:itsdav:qt7m90q6d5
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/7m90q6d5.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kenneth Gruber & Gladys Shelton, 1987. "Assessment of neighborhood satisfaction by residents of three housing types," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 19(3), pages 303-315, August.
    2. Lara Russell & Anita Hubley & Anita Palepu & Bruno Zumbo, 2006. "Does Weighting Capture What’s Important? Revisiting Subjective Importance Weighting with a Quality of Life Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 75(1), pages 141-167, January.
    3. Tim Schwanen & Patricia L Mokhtarian, 2004. "The Extent and Determinants of Dissonance between Actual and Preferred Residential Neighborhood Type," Environment and Planning B, , vol. 31(5), pages 759-784, October.
    4. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What if You Live in the Wrong Neighborhood? The Impact of Residential Neighborhood Type Dissonance on Distance Traveled," University of California Transportation Center, Working Papers qt5hh713d6, University of California Transportation Center.
    5. Veall, Michael R & Zimmermann, Klaus F, 1996. "Pseudo-R-[superscript 2] Measures for Some Common Limited Dependent Variable Models," Journal of Economic Surveys, Wiley Blackwell, vol. 10(3), pages 241-259, September.
    6. Handy, Susan & Cao, Xinyu & Mokhtarian, Patricia L., 2005. "Correlation or causality between the built environment and travel behavior? Evidence from Northern California," University of California Transportation Center, Working Papers qt5b76c5kg, University of California Transportation Center.
    7. David Felix, 1986. "Perspective," Challenge, Taylor & Francis Journals, vol. 29(4), pages 51-54, September.
    8. Earle. Davis & Margret Fine-Davis, 1981. "Predictors of satisfaction with housing and neighbourhood: A nationwide study in the Republic of Ireland," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 9(4), pages 477-494, December.
    9. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What Affects Commute Mode Choice: Neighborhood Physical Structure or Preferences Toward Neighborhoods?," University of California Transportation Center, Working Papers qt4nq9r1c9, University of California Transportation Center.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    2. De Vos, Jonas & Derudder, Ben & Van Acker, Veronique & Witlox, Frank, 2012. "Reducing car use: changing attitudes or relocating? The influence of residential dissonance on travel behavior," Journal of Transport Geography, Elsevier, vol. 22(C), pages 1-9.
    3. Cao, Xinyu (Jason), 2015. "Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities," Journal of Transport Geography, Elsevier, vol. 48(C), pages 188-196.
    4. De Vos, Jonas & Singleton, Patrick A., 2020. "Travel and cognitive dissonance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 525-536.
    5. Kajosaari, Anna & Hasanzadeh, Kamyar & Kyttä, Marketta, 2019. "Residential dissonance and walking for transport," Journal of Transport Geography, Elsevier, vol. 74(C), pages 134-144.
    6. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    7. Lin, Tao & Wang, Donggen & Guan, Xiaodong, 2017. "The built environment, travel attitude, and travel behavior: Residential self-selection or residential determination?," Journal of Transport Geography, Elsevier, vol. 65(C), pages 111-122.
    8. Van Acker, Veronique & Witlox, Frank, 2010. "Car ownership as a mediating variable in car travel behaviour research using a structural equation modelling approach to identify its dual relationship," Journal of Transport Geography, Elsevier, vol. 18(1), pages 65-74.
    9. De Vos, Jonas & Van Acker, Veronique & Witlox, Frank, 2014. "The influence of attitudes on Transit-Oriented Development: An explorative analysis," Transport Policy, Elsevier, vol. 35(C), pages 326-329.
    10. Phani Kumar, P. & Ravi Sekhar, Ch. & Parida, Manoranjan, 2018. "Residential dissonance in TOD neighborhoods," Journal of Transport Geography, Elsevier, vol. 72(C), pages 166-177.
    11. Xinyu Cao & Patricia Mokhtarian & Susan Handy, 2007. "Do changes in neighborhood characteristics lead to changes in travel behavior? A structural equations modeling approach," Transportation, Springer, vol. 34(5), pages 535-556, September.
    12. Wang, Donggen & Chai, Yanwei & Li, Fei, 2011. "Built environment diversities and activity–travel behaviour variations in Beijing, China," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1173-1186.
    13. van Wee, Bert & De Vos, Jonas & Maat, Kees, 2019. "Impacts of the built environment and travel behaviour on attitudes: Theories underpinning the reverse causality hypothesis," Journal of Transport Geography, Elsevier, vol. 80(C).
    14. Cho, Gi-Hyoug & Rodríguez, Daniel A., 2014. "The influence of residential dissonance on physical activity and walking: evidence from the Montgomery County, MD, and Twin Cities, MN, areas," Journal of Transport Geography, Elsevier, vol. 41(C), pages 259-267.
    15. De Vos, Jonas & Ettema, Dick & Witlox, Frank, 2018. "Changing travel behaviour and attitudes following a residential relocation," Journal of Transport Geography, Elsevier, vol. 73(C), pages 131-147.
    16. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    17. De Vos, Jonas & Mouratidis, Kostas & Cheng, Long & Kamruzzaman, Md., 2021. "Does a residential relocation enable satisfying travel?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 188-201.
    18. Pinjari, Abdul Rawoof & Bhat, Chandra R. & Hensher, David A., 2009. "Residential self-selection effects in an activity time-use behavior model," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 729-748, August.
    19. Xue, Fei & Yao, Enjian & Jin, Fanglei, 2020. "Exploring residential relocation behavior for families with workers and students; a study from Beijing, China," Journal of Transport Geography, Elsevier, vol. 89(C).
    20. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.

    More about this item

    Keywords

    UCD-ITS-RR-06-10; Engineering;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsdav:qt7m90q6d5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucdus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.