Residential-employment mixed use and jobs-housing balance: A case study of Shenzhen, China. (August 2022)
- Record Type:
- Journal Article
- Title:
- Residential-employment mixed use and jobs-housing balance: A case study of Shenzhen, China. (August 2022)
- Main Title:
- Residential-employment mixed use and jobs-housing balance: A case study of Shenzhen, China
- Authors:
- Zhou, Xingang
Yeh, Anthony G.O.
Yue, Yang
Li, Weifeng - Abstract:
- Abstract: Residential-employment mixed use has often been proposed to promote jobs–housing balance and to increase employment self-containment of residents, thereby reducing commuting distance and motorized travel. However, the relationship between residential-employment mixed use and work trips has few consensuses. Whether residential-employment mixed use is correlated with employment self-containment of residents remains to be explored. In this study, the relationships between residential-employment mixed use and employment self-containment of residents are examined in the industrial and commercial areas in Shenzhen, China. The relationships between commercial–residential and industrial–residential mixes and employment self-containment of residents are examined using mobile phone data. Results indicate that residential-employment mixed use is positively correlated with employment self-containment of residents in industrial–residential mix areas in the suburbs, but is not correlated in commercial–residential mix areas in the central city. Residential-employment mixed use alone does not achieve high employment self-containment of residents, which also depends on other factors such as its economic sector, location, and housing prices. Highlights: Residential-employment mixed use is not a sufficient condition in commercial–residential mix areas. Other factors can also influence the correlation between residential-employment mixed use and jobs-housing balance. This study willAbstract: Residential-employment mixed use has often been proposed to promote jobs–housing balance and to increase employment self-containment of residents, thereby reducing commuting distance and motorized travel. However, the relationship between residential-employment mixed use and work trips has few consensuses. Whether residential-employment mixed use is correlated with employment self-containment of residents remains to be explored. In this study, the relationships between residential-employment mixed use and employment self-containment of residents are examined in the industrial and commercial areas in Shenzhen, China. The relationships between commercial–residential and industrial–residential mixes and employment self-containment of residents are examined using mobile phone data. Results indicate that residential-employment mixed use is positively correlated with employment self-containment of residents in industrial–residential mix areas in the suburbs, but is not correlated in commercial–residential mix areas in the central city. Residential-employment mixed use alone does not achieve high employment self-containment of residents, which also depends on other factors such as its economic sector, location, and housing prices. Highlights: Residential-employment mixed use is not a sufficient condition in commercial–residential mix areas. Other factors can also influence the correlation between residential-employment mixed use and jobs-housing balance. This study will enhance our understanding of residential-employment mixed use and jobs-housing balance. … (more)
- Is Part Of:
- Land use policy. Volume 119(2022)
- Journal:
- Land use policy
- Issue:
- Volume 119(2022)
- Issue Display:
- Volume 119, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 119
- Issue:
- 2022
- Issue Sort Value:
- 2022-0119-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08
- Subjects:
- Jobs-housing relationship -- Land use -- Work trips -- Big data -- Mixed use
Land use -- Periodicals
Land use -- Government policy -- Periodicals
Sol, Utilisation du -- Périodiques
Sol, Utilisation du -- Politique gouvernementale -- Périodiques
Electronic journals
333.7305 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02648377 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.landusepol.2022.106201 ↗
- Languages:
- English
- ISSNs:
- 0264-8377
- Deposit Type:
- Legaldeposit
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