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Home-Based Locational Accessibility to Essential Urban Services: The Case of Wake County, North Carolina, USA

Author

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  • Guoqiang Shen

    (Department of Public Affairs and Planning, College of Architecture, University of Texas Arlington, Arlington, TX 76019, USA)

  • Zhangye Wang

    (Faculty of Innovation and Design, City University of Macau, Taipa, Macau 999078, China)

  • Long Zhou

    (Faculty of Innovation and Design, City University of Macau, Taipa, Macau 999078, China)

  • Yu Liu

    (School of Civil Engineering and Architecture, Henan University, Kaifeng 475000, China)

  • Xiaoyi Yan

    (Faculty of Innovation and Design, City University of Macau, Taipa, Macau 999078, China)

Abstract

Accessibility is an important concept in urban studies and planning, especially on issues related to sustainable transportation planning and urban spatial structure. This paper develops an optimization model to examine the accessibility from single family homes to major urban facilities for services or amenities using geographical information systems. The home-based accessibility to facilities is based upon the point to point direct distance from sampled homes to sampled facilities. Descriptive statistics about the accessibility, such as min/max, mean/median, and standard deviation/variance were computed. Variations of accessibility for a range of categories by home price and year built were also examined. Multivariate linear regression models examining the housing value with respect to home-facility accessibility by facility types were implemented. The results show that desirable urban facilities, which are also more frequently used for livability, enjoy better accessibility than undesirable urban facilities. The home-based accessibility’s positive or negative associations with home price along with year built and/or residential lot size exist for most facilities in general, and by confirming to the literature, the home-facility accessibility in particular does strongly impact home values as evidenced by fair to excellent R 2 values. Accordingly, this research provides evidence-based recommendations for sustainable urban mobility and urban planning.

Suggested Citation

  • Guoqiang Shen & Zhangye Wang & Long Zhou & Yu Liu & Xiaoyi Yan, 2020. "Home-Based Locational Accessibility to Essential Urban Services: The Case of Wake County, North Carolina, USA," Sustainability, MDPI, vol. 12(21), pages 1-21, November.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9142-:d:439455
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    References listed on IDEAS

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    1. Jared Hewko & Karen E Smoyer-Tomic & M John Hodgson, 2002. "Measuring Neighbourhood Spatial Accessibility to Urban Amenities: Does Aggregation Error Matter?," Environment and Planning A, , vol. 34(7), pages 1185-1206, July.
    2. van Wee, Bert, 2016. "Accessible accessibility research challenges," Journal of Transport Geography, Elsevier, vol. 51(C), pages 9-16.
    3. Mulatu Wubneh & Guoqiang Shen, 2004. "The Impact of Manufactured Housing on Adjacent Residential Property Values: A GIS Approach Based on Three North Carolina Counties," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 16(1), pages 56-73, March.
    4. Wachs, Martin & Kumagai, T. Gordon, 1973. "Physical accessibility as a social indicator," Socio-Economic Planning Sciences, Elsevier, vol. 7(5), pages 437-456, October.
    5. Johnson, Daniel & Ercolani, Marco & Mackie, Peter, 2017. "Econometric analysis of the link between public transport accessibility and employment," Transport Policy, Elsevier, vol. 60(C), pages 1-9.
    6. R W Vickerman, 1974. "Accessibility, Attraction, and Potential: A Review of Some Concepts and Their Use in Determining Mobility," Environment and Planning A, , vol. 6(6), pages 675-691, December.
    7. Li, Qingquan & Zhang, Tong & Wang, Handong & Zeng, Zhe, 2011. "Dynamic accessibility mapping using floating car data: a network-constrained density estimation approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 379-393.
    8. Karst T. Geurs & Kevin J. Krizek & Aura Reggiani, 2012. "Accessibility analysis and transport planning: an introduction," Chapters, in: Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), Accessibility Analysis and Transport Planning, chapter 1, pages 1-12, Edward Elgar Publishing.
    9. Seongman Jang & Youngsoo An & Changhyo Yi & Seungil Lee, 2017. "Assessing the spatial equity of Seoul’s public transportation using the Gini coefficient based on its accessibility," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(1), pages 91-107, January.
    10. Shen, G., 2005. "Location of manufactured housing and its accessibility to community services: a GIS-assisted spatial analysis," Socio-Economic Planning Sciences, Elsevier, vol. 39(1), pages 25-41, March.
    11. Jesus Gonzalez-Feliu & Josep-Maria Salanova Grau & Adrien Beziat, 2014. "A location-based accessibility analysis to estimate the suitability of urban consolidation facilities," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(2), pages 166-185, July.
    12. Khan, Abdullah A., 1992. "An integrated approach to measuring potential spatial access to health care services," Socio-Economic Planning Sciences, Elsevier, vol. 26(4), pages 275-287, October.
    13. Edward L Glaeser, 2013. "Triumph of the City: How Our Greatest Invention Makes Us Richer, Smarter, Greener, Healthier, and Happier (an excerpt)," Journal of Economic Sociology, National Research University Higher School of Economics, vol. 14(4), pages 75-94.
    14. Patrick McKeown & Brian Workman, 1976. "A Study in Using Linear Programming to Assign Students to Schools," Interfaces, INFORMS, vol. 6(4), pages 96-101, August.
    15. Upali Vandebona & Hiroshi Tsukaguchi, 2013. "Impact of urbanization on user expectations related to public transport accessibility," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 17(2), pages 199-211, July.
    16. Dawei Mei & Chunliang Xiu & Xinghua Feng & Ye Wei, 2019. "Study of the School–Residence Spatial Relationship and the Characteristics of Travel-to-School Distance in Shenyang," Sustainability, MDPI, vol. 11(16), pages 1-15, August.
    17. Karst T. Geurs & Kevin J. Krizek & Aura Reggiani (ed.), 2012. "Accessibility Analysis and Transport Planning," Books, Edward Elgar Publishing, number 14718.
    18. Guoqiang Shen, 2002. "Measuring Accessibility of Housing to Public–community Facilities Using Geographical Information Systems," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 14(3), pages 235-255, November.
    19. Arthur J. Swersey & Wilson Ballard, 1984. "Scheduling School Buses," Management Science, INFORMS, vol. 30(7), pages 844-853, July.
    20. Dong, Xiaojing & Ben-Akiva, Moshe E. & Bowman, John L. & Walker, Joan L., 2006. "Moving from trip-based to activity-based measures of accessibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(2), pages 163-180, February.
    21. Chorus, Caspar G. & de Jong, Gerard C., 2011. "Modeling experienced accessibility for utility-maximizers and regret-minimizers," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1155-1162.
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