IDEAS home Printed from https://ideas.repec.org/a/sae/envirb/v43y2016i1p108-129.html
   My bibliography  Save this article

Urban configuration, accessibility, and property prices: a case study of Cardiff, Wales

Author

Listed:
  • Yang Xiao
  • Scott Orford
  • Chris J Webster

Abstract

The specification of locational attributes in hedonic houseprice models has traditionally been problematic. Whilst many studies use similar sets of structural attributes the range of locational attributes can be diverse and inconsistent both in their identification and in their measurement. To address this problem, researchers have adopted concepts related to urban configuration such as the monocentric city and the access – space trade-off model, and later multicentric and multiple accessibility models, to structure their enquiry. This has led to issues related to a priori variable specification using geometrically defined accessibility measures that can also lead to problems such as spatial autocorrelation. In this research, we investigate the use of network accessibility metrics in hedonic house price research using Cardiff, Wales as a case study. We hypothesize that a network-modelling approach to measuring accessibility will improve performance compared with conventional planar geometry specifications. We find that estimating centrality variables across a variety of spatial scales allows the impact on property prices of urban configurations to be modelled more accurately. The research shows that not all dimensions of accessibility can be adequately captured by network measures and that conventional planar geometry measures of accessibility can add additional explanatory power in certain circumstances.

Suggested Citation

  • Yang Xiao & Scott Orford & Chris J Webster, 2016. "Urban configuration, accessibility, and property prices: a case study of Cardiff, Wales," Environment and Planning B, , vol. 43(1), pages 108-129, January.
    • Handle: RePEc:sae:envirb:v:43:y:2016:i:1:p:108-129
    DOI: 10.1177/0265813515600120
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0265813515600120
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0265813515600120?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Matthews & Geoffrey Turnbull, 2007. "Neighborhood Street Layout and Property Value: The Interaction of Accessibility and Land Use Mix," The Journal of Real Estate Finance and Economics, Springer, vol. 35(2), pages 111-141, August.
    2. Dan Vickers & Phil Rees, 2007. "Creating the UK National Statistics 2001 output area classification," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(2), pages 379-403, March.
    3. Niedercorn, John H & Ammari, Nabil S, 1987. "New Evidence on the Specification and Performance of Neoclassical Gravity Models in the Study of Urban Transportation," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 21(1), pages 56-64, March.
    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. Bardsley, Nicholas & Büchs, Milena & James, Patrick & Papafragkou, Anastasios & Rushby, Thomas & Saunders, Clare & Smith, Graham & Wallbridge, Rebecca & Woodman, Nicholas, 2019. "Domestic thermal upgrades, community action and energy saving: A three-year experimental study of prosperous households," Energy Policy, Elsevier, vol. 127(C), pages 475-485.
    2. Federico Benassi & Marica D'Elia & Francesca Petrei, 2021. "The “meso” dimension of territorial capital: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(1), pages 159-175, February.
    3. Richard Harris & Yingyu Feng, 2016. "Putting the geography into geodemographics: Using multilevel modelling to improve neighbourhood targeting – a case study of Asian pupils in London," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(2), pages 93-107, July.
    4. Fenton, Alex, 2013. "Small-area measures of income poverty," LSE Research Online Documents on Economics 58053, London School of Economics and Political Science, LSE Library.
    5. repec:cep:sticas:/173 is not listed on IDEAS
    6. Holt, Alison R. & Mears, Meghann & Maltby, Lorraine & Warren, Philip, 2015. "Understanding spatial patterns in the production of multiple urban ecosystem services," Ecosystem Services, Elsevier, vol. 16(C), pages 33-46.
    7. Druckman, A. & Jackson, T., 2008. "Household energy consumption in the UK: A highly geographically and socio-economically disaggregated model," Energy Policy, Elsevier, vol. 36(8), pages 3167-3182, August.
    8. Phaneuf, Daniel J. & Liu, Xiangping, 2016. "Disentangling property value impacts of environmental contamination from locally undesirable land uses: Implications for measuring post-cleanup stigmaAuthor-Name: Taylor, Laura O," Journal of Urban Economics, Elsevier, vol. 93(C), pages 85-98.
    9. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
    10. Brian Robson & Kitty Lymperopoulou & Alasdair Rae, 2008. "People on the Move: Exploring the Functional Roles of Deprived Neighbourhoods," Environment and Planning A, , vol. 40(11), pages 2693-2714, November.
    11. Hee Jin Yang & Jihoon Song & Mack Joong Choi, 2016. "Measuring the Externality Effects of Commercial Land Use on Residential Land Value: A Case Study of Seoul," Sustainability, MDPI, vol. 8(5), pages 1-15, April.
    12. Yang Xiao & Chris Webster & Scott Orford, 2016. "Identifying house price effects of changes in urban street configuration: An empirical study in Nanjing, China," Urban Studies, Urban Studies Journal Limited, vol. 53(1), pages 112-131, January.
    13. Demetris Lamnisos & Nicos Middleton & Nikoletta Kyprianou & Michael A. Talias, 2019. "Geodemographic Area Classification and Association with Mortality: An Ecological Study of Small Areas of Cyprus," IJERPH, MDPI, vol. 16(16), pages 1-13, August.
    14. Aliyu Ahmad Aliyu & Olurotimi Adebowale Kemiki & Muhammad Umar Bello, 2018. "Analysis of Current Empirical Studies on Transport Value-Added Effect and Proximate Housing Price Capture," Traektoriâ Nauki = Path of Science, Altezoro, s.r.o. & Dialog, vol. 4(12), pages 1001-1020, December.
    15. Nick Malleson & Alison Heppenstall & Linda See & Andrew Evans, 2013. "Using an Agent-Based Crime Simulation to Predict the Effects of Urban Regeneration on Individual Household Burglary Risk," Environment and Planning B, , vol. 40(3), pages 405-426, June.
    16. Benita, Francisco & Piliouras, Georgios, 2020. "Location, location, usage: How different notions of centrality can predict land usage in Singapore," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    17. Ti-Ching Peng & Ying-Hui Chiang, 2015. "The non-linearity of hospitals' proximity on property prices: experiences from Taipei, Taiwan," Journal of Property Research, Taylor & Francis Journals, vol. 32(4), pages 341-361, December.
    18. Scott N Lieske & Ryan van den Nouwelant & Jung Hoon Han & Christopher Pettit, 2021. "A novel hedonic price modelling approach for estimating the impact of transportation infrastructure on property prices," Urban Studies, Urban Studies Journal Limited, vol. 58(1), pages 182-202, January.
    19. Jonathan Reades & Jordan De Souza & Phil Hubbard, 2019. "Understanding urban gentrification through machine learning," Urban Studies, Urban Studies Journal Limited, vol. 56(5), pages 922-942, April.
    20. Jin, Jangik & Rafferty, Peter, 2018. "Externalities of auto traffic congestion growth: Evidence from the residential property values in the US Great Lakes megaregion," Journal of Transport Geography, Elsevier, vol. 70(C), pages 131-140.
    21. Alexander D. Singleton & Paul A. Longley, 2009. "Creating open source geodemographics: Refining a national classification of census output areas for applications in higher education," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 643-666, August.

    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:sae:envirb:v:43:y:2016:i:1:p:108-129. 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: SAGE Publications (email available below). General contact details of provider: .

    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.