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Consumer Preference for Neotraditional Neighborhood Characteristics

Author

Listed:
  • Hazel Morrow‐Jones
  • Elena Irwin
  • Brian Roe

Abstract

Much research on residential mobility relies on examining people's choices within the context of what is available in a local housing market. However, it is difficult to determine the demand for alternative housing or neighborhood types that may not be available or are available only in limited quantities. Hence, the market may not accurately reveal consumer preferences for such alternatives. We estimate a discrete choice model of neighborhood choice by using data from a choice‐based conjoint analysis survey that allows us to vary characteristics experimentally. The model is used to determine consumer preferences for neotraditional neighborhood design features, including neighborhood layout, housing density, surrounding open space, and commuting time, while holding other characteristics, including school quality and neighborhood safety, constant. The results indicate that the neotraditional design with higher density is less preferred on average, but that niche marketing, additional open space, or other amenities can overcome its negative effects.

Suggested Citation

  • Hazel Morrow‐Jones & Elena Irwin & Brian Roe, 2004. "Consumer Preference for Neotraditional Neighborhood Characteristics," Housing Policy Debate, Taylor & Francis Journals, vol. 15(1), pages 171-202.
    • Handle: RePEc:taf:houspd:v:15:y:2004:i:1:p:171-202
    DOI: 10.1080/10511482.2004.9521498
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    Citations

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    Cited by:

    1. Cao, Xinyu (Jason) & Mokhtarian, Patricia L. & Handy, Susan L., 2009. "The relationship between the built environment and nonwork travel: A case study of Northern California," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 548-559, June.
    2. Rid, Wolfgang & Haider, Wolfgang & Ryffel, Andrea & Beardmore, Ben, 2018. "Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives," Ecological Economics, Elsevier, vol. 146(C), pages 203-217.
    3. Austin L. Brown & Asad J. Khattak & Daniel A. Rodriguez, 2008. "Neighbourhood Types, Travel and Body Mass: A Study of New Urbanist and Suburban Neighbourhoods in the US," Urban Studies, Urban Studies Journal Limited, vol. 45(4), pages 963-988, April.
    4. 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.
    5. Christopher Bitter, 2014. "Subdivision Vintage and Housing Prices: Do Home Buyers Value Traditional Development?," Urban Studies, Urban Studies Journal Limited, vol. 51(5), pages 1038-1056, April.
    6. Cao, XinYu, 2007. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt1n90z8h8, Institute of Transportation Studies, UC Davis.
    7. Jessica K. Breadsell & Joshua J. Byrne & Gregory M. Morrison, 2019. "Pre- and Post-Occupancy Evaluation of Resident Motivations for and Experiences of Establishing a Home in a Low-Carbon Development," Sustainability, MDPI, vol. 11(14), pages 1-17, July.
    8. Felix Haifeng Liao & Steven Farber & Reid Ewing, 2015. "Compact development and preference heterogeneity in residential location choice behaviour: A latent class analysis," Urban Studies, Urban Studies Journal Limited, vol. 52(2), pages 314-337, February.
    9. Cao, Xinyu, 2006. "The Causal Relationship between the Built Environment and Personal Travel Choice: Evidence from Northern California," University of California Transportation Center, Working Papers qt07q5p340, University of California Transportation Center.

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