IDEAS home Printed from https://ideas.repec.org/p/wiw/wus009/6096.html
   My bibliography  Save this paper

Contextualizing Location Affordability: Urban Sprawl and Foreclosure

Author

Listed:
  • Ann, Hartell

Abstract

Location affordability is a policy concept that links housing costs with transport costs, recognizing that assessing affordability should consider the combined costs incurred by a given location choice. As a more holistic perspective on affordability than traditional thresholds of housing costs alone, location affordability opens new possibilities for applied analyses that suggest a need for stronger coordination between housing and transport sectors in policy, planning, and project development. A range of housing and transport system configurations can result in affordable locations. For example, it may be that high housing cost burdens in densely developed urban markets can be softened by the use of low-cost transportation services, such as public transit, cycling, or walking. Intensely urban areas are usually more compatible with low-cost transport modes because distances are shorter and density concentrates people so as to make public transit feasible. Conversely, in areas where there is little pressure on land markets and development is at low densities, housing prices are usually lower. Yet such areas are inefficient and expensive to serve by public transit; at the same time, long distances between work and residential locations make walking or cycling infeasible. As a result, households rely on private automobiles for transport, which require substantial investment to purchase, maintain, and operate one or more vehicles. Between these two extremes are a variety of patterns where households' housing and transport costs reflect the joint configuration of the land development and transport systems in a city. This joint configuration, or urban form, creates an influential backdrop for household location decisions and affects household cost structures. In recent decades, scholars have focused on the phenomenon of urban sprawl, broadly understood to be ex-urban, low-density development, with segregated land uses and an orientation toward automobile use. Although there is general agreement on what sprawl is, there is weak consensus on a consistent definition appropriate for use in empirical studies. This is not merely an academic problem: If research is to provide evidence on location affordability to policy- and decision-makers, a coherent and clear conceptualization of the relevant dimensions of urban form is needed to identify specific strategies that support affordability. This paper makes two contributions to the affordability literature. First, it operationalizes location unaffordability using Census tract-level mortgage foreclosure rates during the recent housing crisis as an outcome measure. From this perspective, foreclosures are an observable effect of some combination of factors that resulted in a dwelling unit becoming unaffordable such that the homeowner defaults on a home mortgage. This is in contrast to typical methods that accept normative thresholds for affordability (i.e. 30% of household income). Second, it uses multi-dimensional measures of urban form - recently developed by Andrea Sarzynski, George Galster, and Lisa Stack (2014) - to estimate the effect of particular patterns of development on affordability. These data are combined with demographic and household cost data in a series of spatial regression models for 35 US cities that exhibited the greatest changes in their development patterns over the preceding decade (1990s).

Suggested Citation

  • Ann, Hartell, 2015. "Contextualizing Location Affordability: Urban Sprawl and Foreclosure," SRE-Discussion Papers 2015/06, WU Vienna University of Economics and Business.
  • Handle: RePEc:wiw:wus009:6096
    as

    Download full text from publisher

    File URL: https://epub.wu.ac.at/6096/
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Zhenguo Lin & Eric Rosenblatt & Vincent Yao, 2009. "Spillover Effects of Foreclosures on Neighborhood Property Values," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 387-407, May.
    3. Eid, Jean & Overman, Henry G. & Puga, Diego & Turner, Matthew A., 2008. "Fat city: Questioning the relationship between urban sprawl and obesity," Journal of Urban Economics, Elsevier, vol. 63(2), pages 385-404, March.
    4. David L. Barkley & Mark S. Henry & Shuming Bao, 1996. "Identifying "Spread" versus "Backwash" Effects in Regional Economic Areas: A Density Functions Approach," Land Economics, University of Wisconsin Press, vol. 72(3), pages 336-357.
    5. Khan, Mobashwir & M. Kockelman, Kara & Xiong, Xiaoxia, 2014. "Models for anticipating non-motorized travel choices, and the role of the built environment," Transport Policy, Elsevier, vol. 35(C), pages 117-126.
    6. Michael Stone, 2006. "What is housing affordability? The case for the residual income approach," Housing Policy Debate, Taylor & Francis Journals, vol. 17(1), pages 151-184.
    7. Andrea Sarzynski & Harold L. Wolman & George Galster & Royce Hanson, 2006. "Testing the Conventional Wisdom about Land Use and Traffic Congestion: The More We Sprawl, the Less We Move?," Urban Studies, Urban Studies Journal Limited, vol. 43(3), pages 601-626, March.
    8. Khattak, Asad J. & Rodriguez, Daniel, 2005. "Travel behavior in neo-traditional neighborhood developments: A case study in USA," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 481-500, July.
    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. Ann Hartell, 2015. "Contextualizing Location Affordability: Urban Sprawl and Foreclosure," SRE-Disc sre-disc-2015_06, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    2. Ann Hartell, 2015. "Sprawl and Commuting: Exploring New Measures of United States Metro Regions," SRE-Disc sre-disc-2015_07, Institute for Multilevel Governance and Development, Department of Socioeconomics, Vienna University of Economics and Business.
    3. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    4. Boukarta Soufiane & Berezowska-Azzag Ewa, 2020. "Exploring the Role of Socio-Economic and Built Environment Driving Factors in Shaping the Commuting Modal Share: A Path-Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 39(4), pages 87-107, December.
    5. Miotti, Marco & Needell, Zachary A. & Jain, Rishee K., 2023. "The impact of urban form on daily mobility demand and energy use: Evidence from the United States," Applied Energy, Elsevier, vol. 339(C).
    6. Md. Kamruzzaman & Simon Washington & Douglas Baker & Wendy Brown & Billie Giles-Corti & Gavin Turrell, 2016. "Built environment impacts on walking for transport in Brisbane, Australia," Transportation, Springer, vol. 43(1), pages 53-77, January.
    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. Faizeh Hatami & Jean-Claude Thill, 2022. "Spatiotemporal Evaluation of the Built Environment’s Impact on Commuting Duration," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    9. Benjamin R Sperry & Mark W Burris & Eric Dumbaugh, 2012. "A Case Study of Induced Trips at Mixed-Use Developments," Environment and Planning B, , vol. 39(4), pages 698-712, August.
    10. Arefeh Nasri & Lei Zhang, 2019. "How Urban Form Characteristics at Both Trip Ends Influence Mode Choice: Evidence from TOD vs. Non-TOD Zones of the Washington, D.C. Metropolitan Area," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    11. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.
    12. Nichols, Brice G. & Kockelman, Kara M., 2014. "Life-cycle energy implications of different residential settings: Recognizing buildings, travel, and public infrastructure," Energy Policy, Elsevier, vol. 68(C), pages 232-242.
    13. Aguiléra, Anne & Voisin, Marion, 2014. "Urban form, commuting patterns and CO2 emissions: What differences between the municipality’s residents and its jobs?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 243-251.
    14. Lara Engelfriet & Eric Koomen, 2018. "The impact of urban form on commuting in large Chinese cities," Transportation, Springer, vol. 45(5), pages 1269-1295, September.
    15. Hong, Jinhyun & Thakuriah, Piyushimita Vonu, 2018. "Examining the relationship between different urbanization settings, smartphone use to access the Internet and trip frequencies," Journal of Transport Geography, Elsevier, vol. 69(C), pages 11-18.
    16. Mitra, Suman & Yao, Mingqi & Ritchie, Stephen G., 2021. "Gender differences in elderly mobility in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 203-226.
    17. Thomas Klinger & Martin Lanzendorf, 2016. "Moving between mobility cultures: what affects the travel behavior of new residents?," Transportation, Springer, vol. 43(2), pages 243-271, March.
    18. Umer Mansoor & Mohammad Tamim Kashifi & Fazal Rehman Safi & Syed Masiur Rahman, 2022. "A review of factors and benefits of non-motorized transport: a way forward for developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1560-1582, February.
    19. Xinyu Cao & Daniel Chatman, 2016. "How will smart growth land-use policies affect travel? A theoretical discussion on the importance of residential sorting," Environment and Planning B, , vol. 43(1), pages 58-73, January.
    20. Boukarta Soufiane & Berezowska-Azzag Ewa, 2022. "The Influence of Built Environment and Socio-Economic Factors on Commuting Energy Demand: A Path Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 41(4), pages 19-39, December.

    More about this item

    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:wiw:wus009:6096. 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: WU Library (email available below). General contact details of provider: https://research.wu.ac.at/ .

    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.