This paper uses meso-level panel data from Beijing from 2009 to 2021 to establish a fixed effects model to study the impact and mechanism of rail transit density on the job-housing relationship. The results show that an increase in rail transit station density exacerbates job-housing separation, particularly in the central urban and outer suburban areas, while the impact is not significant in the nearby suburbs. Mechanism testing further reveals that rail transit density promotes the increase of housing prices, raising the residential threshold, which in turn intensifies job-housing separation.


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    Titel :

    How does urban rail transit density affect job-housing balance? A case study of Beijing


    Beteiligte:
    Feng, Zhengang (Herausgeber:in) / Mikusova, Miroslava (Herausgeber:in) / Ma, Chang (Autor:in) / Tan, Kehu (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering (STCE 2024) ; 2024 ; Chongqing, China


    Erschienen in:

    Proc. SPIE ; 13575


    Erscheinungsdatum :

    28.04.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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