An integrated analysis of housing and transit affordability in the Chicago metropolitan area
Bibliographic Data
| ID | 4643099 |
|---|---|
| Authors | Dong Liu (0000-0001-9090-5732, Department of Geography and Geographic Information Science University of Illinois at Urbana‐Champaign Urbana IL USA), Mei-Po Kwan (0000-0001-8602-9258, Department of Geography and Resource Management The Chinese University of Hong Kong Hong Kong China, corresponding author), Zihan Kan (0000-0002-6364-0537, Institute of Space and Earth Information Science The Chinese University of Hong Kong Hong Kong China), Yimeng Song (0000-0001-9558-1220, Department of Land Surveying and Geo‐Informatics and Smart Cities Research Institute The Hong Kong Polytechnic University Hong Kong China) |
| Year | 2021 |
| Volume | 187 |
| Issue | 2 |
| Pages | 110-126 |
| Publication date | 2021-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Geographical Journal (JOURNAL) |
| Journal identifiers | ISSN: 0016-7398 • E-ISSN: 1475-4959 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/geoj.12377 |
| OpenAlex | W3131030233 |
| Language | EN |
| Citations received | 10 |
| References cited | 28 |
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
Affordable housing · Business · Census · Data collection · Distribution (mathematics · Economic growth · Economics · Geography · Metropolitan area · Order (exchange · Public economics · Public transport · Regional science · Transit (satellite · Transport engineering · Engineering · Finance · Housing Market and Economics · Transportation Planning and Optimization · Urban Transport and Accessibility
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| Unique citing works | 10 |
|---|---|
| Citations per year | 2,5 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 10 |