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

Author

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  • Michael N. Bagley

    (South Texas Community College, PO Box 9701, McAllen, Texas 78502 9701, USA, mnbagley@stcc.cc.tx.us)

  • Patricia L. Mokhtarian

    (Institute of Transport Studies, University of Cakfornia, Davis, California 95616, USA, plmokhtarian@ucdavis.edu)

  • Ryuichi Kitamura

    (Department of Transport Engineering, Kyoto University, Sakyo-ku, Kyoto 606, Japan, rkitamura@term.kuciv.kyoto-u.ac.jp)

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 neighbourhood 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 'traditionalness' 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 accurately 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

  • Michael N. Bagley & Patricia L. Mokhtarian & Ryuichi Kitamura, 2002. "A Methodology for the Disaggregate, Multidimensional Measurement of Residential Neighbourhood Type," Urban Studies, Urban Studies Journal Limited, vol. 39(4), pages 689-704, April.
    • Handle: RePEc:sae:urbstu:v:39:y:2002:i:4:p:689-704
    DOI: 10.1080/00420980220119525
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    References listed on IDEAS

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    2. 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.
    3. 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.
    4. 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.
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    9. Schwanen, Tim & Mokhtarian, Patricia L., 1998. "Does Dissonance Between Desired and Current Residential Neighbourhood Type Affect Individual Travel Behaviour? An Empirical Assessment From the San Francisco Bay Area," University of California Transportation Center, Working Papers qt26k8w6xf, University of California Transportation Center.
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