@article{6aabff1b5d00496cab6eacafa160267a,
title = "An integrated analysis of housing and transit affordability in the Chicago metropolitan area",
abstract = "An integrated analysis of housing and transport affordability provides comprehensive insights into the affordability of different locations in a city. By focusing on transit-based workers, who constitute a significant portion of commuters but are understudied in the affordability literature, this study proposes a new, integrated method for estimating housing and transit (H + T) affordability in the Chicago Metropolitan Area using census data and data from the Google Maps Directions API. Methodologically, the study contributes to the literature by proposing and implementing a new method that estimates H + T affordability in an integrated manner based on census data and data from the Google Maps Directions API across three types of housing occupants (i.e., owners with/without a mortgage and renters). Empirically, the results indicate varying H + T affordability distribution patterns among different types of housing occupants and provide a comprehensive picture of housing and transport affordability in the study area without incurring prohibitive time and cost of data collection. The study indicates that policy-makers should consider expanding the existing concessionary fare scheme to include low-income residents and establishing affordable housing programmes that subsidise not only mortgage/rent but also miscellaneous costs related to housing (such as utilities) in order to improve the overall H + T affordability for different types of housing occupants.",
keywords = "census data, Chicago, Google Maps Directions API, housing affordability, transit affordability",
author = "Dong Liu and Kwan, {Mei Po} and Zihan Kan and Yimeng Song",
note = "Funding Information: University of Illinois?>?University of Illinois at Urbana-Champaign Dong Liu was supported by a Marion G. Russell Graduate Fellowship from the University of Illinois at Urbana-Champaign. Mei-Po Kwan was supported by a grant from the Hong Kong Research Grants Council (RGC) General Research Fund (Grant no. 14605920) and a grant from the Research Committee on Research Sustainability of Major RGC Funding Schemes of the Chinese University of Hong Kong. Zihan Kan was supported by an RGC Postdoctoral Fellowship from the Research Grants Council of Hong Kong (PDFS2021-4S08). The authors would like to thank the anonymous reviewers for their insightful comments, which helped improve the paper considerably. Funding Information: Dong Liu was supported by a Marion G. Russell Graduate Fellowship from the University of Illinois at Urbana‐Champaign. Mei‐Po Kwan was supported by a grant from the Hong Kong Research Grants Council (RGC) General Research Fund (Grant no. 14605920) and a grant from the Research Committee on Research Sustainability of Major RGC Funding Schemes of the Chinese University of Hong Kong. Zihan Kan was supported by an RGC Postdoctoral Fellowship from the Research Grants Council of Hong Kong (PDFS2021‐4S08). The authors would like to thank the anonymous reviewers for their insightful comments, which helped improve the paper considerably. Publisher Copyright: The information, practices and views in this article are those of the author(s) and do not necessarily reflect the opinion of the Royal Geographical Society (with IBG). {\textcopyright} 2021 The Authors. The Geographical Journal published by John Wiley & Sons Ltd on behalf of Royal Geographical Society (with the Institute of British Geographers).",
year = "2021",
month = jun,
doi = "10.1111/geoj.12377",
language = "English",
volume = "187",
pages = "110--126",
journal = "Geographical Journal",
issn = "0016-7398",
publisher = "Wiley-Blackwell Publishing Ltd",
number = "2",
}
