IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt4g44z01p.html
   My bibliography  Save this paper

A Methodology for the Disaggregate, Multidimensional Measurement of Residential Neighbourhood Type

Author

Listed:
  • Bagley, Michael N.
  • Mokhtarian, Patricia L.
  • Kitamura, Ryuichi

Abstract

Binary designation of a residential neighbourhood as either traditional or suburban is a distortion of reality, since a location may have some characteristics of both types and since residents in different parts of the neighbonrhood may perceive its character differently. This paper presents and applies a methodology for assessing neighbourhood type that results in a measure that is continuous rather than binary, disaggregate rather than aggregate, and potentially multidimensional. Specifically, 18 variables identified by the literature as distinguishing traditional and suburban locations are measured for 852 residents of 5 San Francisco area neighbourhoods. These data are factor-analysed to develop scales on which each individual has a person-specific score. Although we expected a single ’tradifionainess’ dimension to result, instead we found two factors: traditional and suburban. Study neighbourhoods could and did score highly on both dimensions, and considerable individual variation within neighbourhood was observed. By more accurate|y capturing the complexity in classifying a neighbourhood and the heterogeneity of individual perception within a neighbourhood, use of this methodology to measure neighbourhood type is expected to improve models involving residential location as an endogenous or exogenous variable.

Suggested Citation

  • Bagley, Michael N. & Mokhtarian, Patricia L. & Kitamura, Ryuichi, 2002. "A Methodology for the Disaggregate, Multidimensional Measurement of Residential Neighbourhood Type," University of California Transportation Center, Working Papers qt4g44z01p, University of California Transportation Center.
    • Handle: RePEc:cdl:uctcwp:qt4g44z01p
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4g44z01p.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Popovich, Natalie & Spurlock, C. Anna & Needell, Zachary & Jin, Ling & Wenzel, Tom & Sheppard, Colin & Asudegi, Mona, 2021. "A methodology to develop a geospatial transportation typology," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Cynthia Jacques & Ahmed M. El-Geneidy Ahmed M. El-Geneidy, 2014. "Does travel behavior matter in defining urban form? A quantitative analysis characterizing distinct areas within a region," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(1), pages 1-14.
    3. Dick Ettema, 2010. "The impact of telecommuting on residential relocation and residential preferences: A latent class modelling approach," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 7-24.
    4. Jago Dodson, 2014. "Suburbia under an Energy Transition: A Socio-technical Perspective," Urban Studies, Urban Studies Journal Limited, vol. 51(7), pages 1487-1505, May.
    5. Patterson, Zachary & Saddier, Simon & Rezaei, Ali & Manaugh, Kevin, 2014. "Use of the Urban Core Index to analyze residential mobility: the case of seniors in Canadian metropolitan regions," Journal of Transport Geography, Elsevier, vol. 41(C), pages 116-125.
    6. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Berliner, Rosaria M & Lee, Yongsung & Fulton, Lew & Mokhtarian, Patricia L & Handy , Susan, 2017. "What Affects Millennials’ Mobility? PART II: The Impact of Residential Location, Individual Preferences and Lifestyles on Young Adults’ Travel Behavior in California," Institute of Transportation Studies, Working Paper Series qt5kc117kj, Institute of Transportation Studies, UC Davis.
    7. 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.
    8. repec:cdl:uctcwp:qt26k8w6xf is not listed on IDEAS
    9. Jia Guo & Tao Feng & Harry J. P. Timmermans, 2020. "Modeling co-dependent choice of workplace, residence and commuting mode using an error component mixed logit model," Transportation, Springer, vol. 47(2), pages 911-933, April.
    10. FAbio DUARTE & Rafael BARCZAK & Yumi YAMAWAKI, 2016. "Urban Transportation And Major Sporting Events?What Is Left After The Games: An Analysis Of Sydney And Cape Town," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 11(1), pages 41-58, February.
    11. Christopher Harding & Zachary Patterson & Luis F Miranda-Moreno & Seyed Amir Zahabi, 2014. "A Spatial and Temporal Comparative Analysis of the Effects of Land-Use Clusters on Activity Spaces in Three Quebec Cities," Environment and Planning B, , vol. 41(6), pages 1044-1062, December.
    12. Kees Maat & Paul de Vries, 2006. "The Influence of the Residential Environment on Green-Space Travel: Testing the Compensation Hypothesis," Environment and Planning A, , vol. 38(11), pages 2111-2127, November.
    13. Aiga Stokenberga, 2019. "How family networks drive residential location choices: Evidence from a stated preference field experiment in Bogotá, Colombia," Urban Studies, Urban Studies Journal Limited, vol. 56(2), pages 368-384, February.
    14. 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.

    More about this item

    Keywords

    ;

    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:uctcwp:qt4g44z01p. 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.

    We have no bibliographic references for this item. You can help adding them by using 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/itucbus.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.