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Spatial dynamics of urban neighborhood quality of life

Author

Listed:
  • Elizabeth Delmelle

    (University of North Carolina at Charlotte)

  • Jean-Claude Thill

    (University of North Carolina at Charlotte)

  • Chunhua Wang

    (University of International Business and Economics)

Abstract

This paper investigates the spatial process of neighborhood improvement and decline with respect to its quality of life (QoL) profile. In particular, it seeks to determine to what extent a neighborhood’s geographic situation impacts its probability of improving or declining and is spatial proximity equally advantageous and detrimental. To answer these spatial dependence questions, we employ and expand upon a spatial Markov model. Aside from the standard weight matrix typically utilized in spatial Markov studies comprised of the mean value of a neighborhood’s surrounding area, this paper furthers this conceptualization by exploring alternate specifications including the mode and upper and lower quartiles. Results suggest that spatial dependence plays a strong role in impacting biennial transitions, and when examining the upper and lower quartiles, this dependence is shown to be nonlinear and amplified at the extreme ends of the QoL spectrum. A case study of neighborhoods in the city of Charlotte, North Carolina, during the 2000–2010 decade is used to illustrate these concepts to the study of neighborhood dynamics.

Suggested Citation

  • Elizabeth Delmelle & Jean-Claude Thill & Chunhua Wang, 2016. "Spatial dynamics of urban neighborhood quality of life," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(3), pages 687-705, May.
    • Handle: RePEc:spr:anresc:v:56:y:2016:i:3:d:10.1007_s00168-015-0735-4
    DOI: 10.1007/s00168-015-0735-4
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    References listed on IDEAS

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    Cited by:

    1. Heng Cui & Hanzhen Fang & Yiyuan Tian & Wenlong Zheng & Wenzhuo Li & Wengao Tian, 2022. "Evaluation of Livability of Wuhan under Ecological Construction and Analysis of Its Spatial Pattern," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    2. Lekkas, Peter & Howard, Natasha J & Stankov, Ivana & daniel, mark & Paquet, Catherine, 2019. "A Longitudinal Typology of Neighbourhood-level Social Fragmentation: A Finite Mixture Model Approach," SocArXiv 56x9c, Center for Open Science.
    3. Andrés Vallone & Coro Chasco, 2020. "Spatiotemporal methods for analysis of urban system dynamics: an application to Chile," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 64(2), pages 421-454, April.

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    More about this item

    JEL classification:

    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General

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