IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v132y2023ics0264837723002661.html
   My bibliography  Save this article

Can mixed land use promote social integration? Multiple mediator analysis based on spatiotemporal big data in Beijing

Author

Listed:
  • Xia, Fangzhou
  • Lu, Pingzhen

Abstract

Social isolation has caused several problems, such as increasing income disparities, aggravated mental problems, and rising crime rate; therefore, various methods have been explored to overcome social isolation. Among them, mixed land use is a significant concern of many researchers. Many previous studies have focused on the impact of isolated land use on social isolation; however, few studies profoundly explore the connection between mixed land use and social integration. Therefore, this study constructed a three-dimensional impact path framework of "attraction mobility tolerance" based on the succession theory and explored the impact of mixed land use on social integration within the Sixth Ring Road area of Beijing based on the Location-based Service Data (LBS) from 2017 to 2020. We determined that mixed land use will influence social integration through the simultaneous mediation of functional attraction, spatial mobility, and species tolerance. The impact of mixed land use on social integration is not always positive, and there are deviations in the paths between the two systems. Therefore, the mixed land use policy should pay more attention to those paths with inconsistent objectives, reverse the contradictory path, and enhance the path-transmit impact to promote social integration.

Suggested Citation

  • Xia, Fangzhou & Lu, Pingzhen, 2023. "Can mixed land use promote social integration? Multiple mediator analysis based on spatiotemporal big data in Beijing," Land Use Policy, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:lauspo:v:132:y:2023:i:c:s0264837723002661
    DOI: 10.1016/j.landusepol.2023.106800
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837723002661
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2023.106800?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Danya Kim & Jangik Jin, 2019. "The Effect of Land Use on Housing Price and Rent: Empirical Evidence of Job Accessibility and Mixed Land Use," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    2. Dimitra Dritsa & Nimish Biloria, 2021. "Analysing the relationship between POI density and stimulus complexity in the urban environment," Journal of Urban Design, Taylor & Francis Journals, vol. 26(5), pages 613-629, September.
    3. James Decraene & Christopher Monterola & Gary Kee Khoon Lee & Terence Gih Guang Hung, 2013. "A Quantitative Procedure For The Spatial Characterization Of Urban Land Use," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 24(01), pages 1-15.
    4. Wenlai Wang & Tao Pei & Jie Chen & Ci Song & Xi Wang & Hua Shu & Ting Ma & Yunyan Du, 2019. "Population Distributions of Age Groups and Their Influencing Factors Based on Mobile Phone Location Data: A Case Study of Beijing, China," Sustainability, MDPI, vol. 11(24), pages 1-19, December.
    5. Edward Glaeser & Wei Huang & Yueran Ma & Andrei Shleifer, 2017. "A Real Estate Boom with Chinese Characteristics," Journal of Economic Perspectives, American Economic Association, vol. 31(1), pages 93-116, Winter.
    6. Zhuoma Garang & Cifang Wu & Guan Li & Yuefei Zhuo & Zhongguo Xu, 2021. "Spatio-Temporal Non-Stationarity and Its Influencing Factors of Commercial Land Price: A Case Study of Hangzhou, China," Land, MDPI, vol. 10(3), pages 1-27, March.
    7. Werner Troesken & Randall Walsh, 2019. "Collective Action, White Flight, and the Origins of Racial Zoning Laws," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 35(2), pages 289-318.
    8. Tim Winke, 2021. "Housing affordability sets us apart: The effect of rising housing prices on relocation behaviour," Urban Studies, Urban Studies Journal Limited, vol. 58(12), pages 2389-2404, September.
    9. Hanbing Yang & Meichen Fu & Li Wang & Feng Tang, 2021. "Mixed Land Use Evaluation and Its Impact on Housing Prices in Beijing Based on Multi-Source Big Data," Land, MDPI, vol. 10(10), pages 1-21, October.
    10. Heinz Klug, 2017. "The Presence of History in Post-Apartheid South Africa," Journal of Southern African Studies, Taylor & Francis Journals, vol. 43(1), pages 240-241, January.
    11. Jaap Nieuwenhuis & Tiit Tammaru & Maarten van Ham & Lina Hedman & David Manley, 2020. "Does segregation reduce socio-spatial mobility? Evidence from four European countries with different inequality and segregation contexts," Urban Studies, Urban Studies Journal Limited, vol. 57(1), pages 176-197, January.
    12. Chang, Zheng & Zheng, Longfei & Yang, Tianren & Long, Fenjie, 2022. "High-speed rail, new town development, and the spatial mismatch of land leases in China," Land Use Policy, Elsevier, vol. 115(C).
    13. Jan Eckhard, 2022. "Gender Differences in the Social Consequences of Unemployment: How Job Loss Affects the Risk of Becoming Socially Isolated," Work, Employment & Society, British Sociological Association, vol. 36(1), pages 3-20, February.
    14. Tiit Tammaru & Szymon Marcin´czak & Raivo Aunap & Maarten van Ham & Heleen Janssen, 2020. "Relationship between income inequality and residential segregation of socioeconomic groups," Regional Studies, Taylor & Francis Journals, vol. 54(4), pages 450-461, April.
    15. Zhang, Yanji & Wang, Jiejing & Kan, Changcheng, 2022. "Temporal variation in activity-space-based segregation: A case study of Beijing using location-based service data," Journal of Transport Geography, Elsevier, vol. 98(C).
    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. Kolkowski, Lukas & Cats, Oded & Dixit, Malvika & Verma, Trivik & Jenelius, Erik & Cebecauer, Matej & Rubensson, Isak Jarlebring, 2023. "Measuring activity-based social segregation using public transport smart card data," Journal of Transport Geography, Elsevier, vol. 110(C).
    2. Yii, Kwang-Jing & Tan, Chai-Thing & Ho, Wing-Ken & Kwan, Xiao-Hui & Nerissa, Feng-Ting Shim & Tan, Yan-Yi & Wong, Kar-Horn, 2022. "Land availability and housing price in China: Empirical evidence from nonlinear autoregressive distributed lag (NARDL)," Land Use Policy, Elsevier, vol. 113(C).
    3. Paolo Veneri & Andre Comandon & Miquel‐Àngel Garcia‐López & Michiel N. Daams, 2021. "What do divided cities have in common? An international comparison of income segregation," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 162-188, January.
    4. Zengzheng Wang & Fuhao Zhang & Yangyang Zhao, 2023. "Exploring the Spatial Discrete Heterogeneity of Housing Prices in Beijing, China, Based on Regionally Geographically Weighted Regression Affected by Education," Land, MDPI, vol. 12(1), pages 1-24, January.
    5. Yunes Almansoub & Ming Zhong & Asif Raza & Muhammad Safdar & Abdelghani Dahou & Mohammed A. A. Al-qaness, 2022. "Exploring the Effects of Transportation Supply on Mixed Land-Use at the Parcel Level," Land, MDPI, vol. 11(6), pages 1-28, May.
    6. Qiming Wang & Tao Zhang & Xinyue He & Rongfeng Jiang, 2017. "Assessment of Phosphorus Recovery from Swine Wastewater in Beijing, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    7. Yongsheng Jiang & Dong Zhao & Andrew Sanderford & Jing Du, 2018. "Effects of Bank Lending on Urban Housing Prices for Sustainable Development: A Panel Analysis of Chinese Cities," Sustainability, MDPI, vol. 10(3), pages 1-16, February.
    8. Lina Hedman & Maarten van Ham, 2021. "Three Generations of Intergenerational Transmission of Neighbourhood Context," Social Inclusion, Cogitatio Press, vol. 9(2), pages 129-141.
    9. Ding, Haoyuan & Ni, Bei & Xue, Chang & Zhang, Xiaoyu, 2022. "Land holdings and outward foreign direct investment: Evidence from China," Journal of International Money and Finance, Elsevier, vol. 124(C).
    10. Merkebe Getachew Demissie & Lina Kattan, 2022. "Understanding the temporal and spatial interactions between transit ridership and urban land-use patterns: an exploratory study," Public Transport, Springer, vol. 14(2), pages 385-417, June.
    11. Liao, Jingchi & Peng, Cameron & Zhu, Ning, 2021. "Extrapolative bubbles and trading volume," LSE Research Online Documents on Economics 118887, London School of Economics and Political Science, LSE Library.
    12. Chang Liu & Wei Xiong, 2018. "China's Real Estate Market," NBER Working Papers 25297, National Bureau of Economic Research, Inc.
    13. Toger, Marina & Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2023. "Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation," Journal of Transport Geography, Elsevier, vol. 111(C).
    14. Rose Neng Lai & Robert Van Order, 2019. "Shadow Banking and the Property Market in China," International Real Estate Review, Asian Real Estate Society, vol. 22(3), pages 361-399.
    15. Bosker, Maarten & Deichmann, Uwe & Roberts, Mark, 2018. "Hukou and highways the impact of China's spatial development policies on urbanization and regional inequality," Regional Science and Urban Economics, Elsevier, vol. 71(C), pages 91-109.
    16. Shu-gang Li & Hai-qing Shuang & Hong-sheng Wang & Ki-Il Song & Lang Liu, 2017. "Extraction of Pressurized Gas in Low Air-Conductivity Coal Seam Using Drainage Roadway," Sustainability, MDPI, vol. 9(2), pages 1-11, February.
    17. Yang Deng & Chenyin Gao, 2023. "Where does the risk lie? Systemic risk and tail risk networks in the Chinese financial market," Pacific Economic Review, Wiley Blackwell, vol. 28(2), pages 167-190, May.
    18. Jia Pengfei & Lim King Yoong, 2021. "Tax Policy and Toxic Housing Bubbles in China," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(1), pages 151-183, January.
    19. Jie Chen & Haiyong Zhang & Qian Zhou, 2021. "Rule by Law, Law-Based Governance, and Housing Prices: The Case of China," Land, MDPI, vol. 10(6), pages 1-22, June.
    20. Prottoy A. Akbar & Sijie Li & Allison Shertzer & Randall P. Walsh, 2019. "Racial Segregation in Housing Markets and the Erosion of Black Wealth," NBER Working Papers 25805, National Bureau of Economic Research, Inc.

    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:eee:lauspo:v:132:y:2023:i:c:s0264837723002661. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.