Estimating household demand for transit-oriented development: A two-stage hedonic analysis in Kitchener-Waterloo, Canada
Interest in mass transit investment and transit-oriented development (TOD) is growing as a way to promote smart growth. These investments and policy changes may imply new housing demands, which are not well understood. Using Kitchener-Waterloo, Canada, as a case study, we address the following questions: (1) Do households in this mid-sized region show preferences for TOD neighborhoods? How do preferences for transit accessibility vary across space? (2) What household characteristics are associated with the demand for housing and neighborhood characteristics? With a combined dataset of household survey and housing transactions, we present a novel application of the two-stage hedonic model to understand the housing demand structure impacted by transit policies. This study provides evidence of demand for TOD and LRT accessibility by households with a range of socio-demographics. We thus recommend the region build complete TODs to satisfy a variety of housing needs.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23998083
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Supplemental Notes:
- © The Author(s) 2023.
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Authors:
- Huang, Yu
- 0000-0002-2026-5271
- Parker, Dawn Cassandra
- Anglin, Paul
- Publication Date: 2024-2
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 401-418
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Serial:
- Environment and Planning B: Urban Analytics and City Science
- Volume: 51
- Issue Number: 2
- Publisher: Sage Publications Limited
- ISSN: 2399-8083
- EISSN: 2399-8091
- Serial URL: http://journals.sagepub.com/home/epb
Subject/Index Terms
- TRT Terms: Demographics; Households; Housing; Public transit; Smart growth; Transit oriented development
- Geographic Terms: Kitchener-Waterloo (Canada)
- Subject Areas: Economics; Highways; Planning and Forecasting; Society;
Filing Info
- Accession Number: 01897468
- Record Type: Publication
- Files: TRIS
- Created Date: Oct 25 2023 4:57PM