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International Conference on Management Science and Engineering Management

ICMSEM 2020: Proceedings of the Fourteenth International Conference on Management Science and Engineering Management pp 167–178Cite as

Does Commercial Housing Have Better Access to Public Service Than Affordable Housing? – An Empirical Study for Accessibility to Public Service of Different Housings in Chengdu

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1191))

Abstract

Affordable housing is a kind of social security housing provided by the government for low-income families. Unlike the commercial house is sold and rent entirely according to the market price, affordable housing orients to a particular group at a standard rate or rent. Studies indicate that Many affordable houses are built in urban fringe areas and do not have adequate public services, such as hospitals, schools or shopping malls, which raised a question, “is there any quantitated evidence supporting that commercial housing has better access to public service than affordable housing?” In this paper, we proposed to use the accessibility to measure public service level of different housings. Within the central urban area of Chengdu, we selected 20 affordable communities and 20 commercial communities (near the median price of the second-hand house in Chengdu) randomly. After a brief overview of the theoretical foundation of accessibility, we proposed a mixed movement model to measure accessibility with Gaode Map API. The tool is arranged in such a way that it can easily calculate the travel time from the communities to 5 types of public service facilities through public transportation (schools, culture/sports facilities, commercial facilities, hospitals and public parks) separately. The independent sample t-test reveals that the commercial communities have significantly better access to all the public services than the affordable ones. The results could provide the decision-makers with supporting the allocation of affordable housing and observing the public service from a different perspective.

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Acknowledgements

This paper is financially supported by Sichuan Social Science Planning Project, “Research on the theory and method of statistical measurement of provincial resilience in China” (SC18TJ017), together with Research Center Project for social development and social risk control, Sichuan philosophy and Social Sciences Key Research Base, “Research on dynamic assessment method of urban resilience” (SR17A05).

Author information

Authors and Affiliations

  1. School of Public Administration, Sichuan University, Chengdu, 610065, People’s Republic of China

    Chao Huang & Jiaqi Fan

Authors
  1. Chao Huang
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  2. Jiaqi Fan
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Corresponding author

Correspondence to Chao Huang .

Editor information

Editors and Affiliations

  1. Business School, Sichuan University, Chengdu, China

    Jiuping Xu

  2. Academy of Sciences of Moldova, Chisinau, Moldova

    Gheorghe Duca

  3. Faculty of Math and Science, Brock University, Hamilton, ON, Canada

    Syed Ejaz Ahmed

  4. ETSI Industriales de Ciudad Real, University of Castile-La Mancha (UCLM), Ciudad Real, Spain

    Fausto Pedro García Márquez

  5. Institute of Control Systems, Azerbaijan Natl Academy of Sciences, Baku, Azerbaijan

    Asaf Hajiyev

Appendix

Appendix

Table 2. Count and score of various facilities accessible to sample affordable housing
Full size table
Table 3. Count and score of various facilities accessible to sample commercial housing
Full size table
Table 4. Group statistics
Full size table
Table 5. Independent sample t-test results
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Huang, C., Fan, J. (2021). Does Commercial Housing Have Better Access to Public Service Than Affordable Housing? – An Empirical Study for Accessibility to Public Service of Different Housings in Chengdu. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_15

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