Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch
The jobs-housing mismatch phenomenon in urban China stems from the combined effects of housing commodification and the improvement of transportation infrastructure. These factors have contributed to the emergence of lengthy commutes and a range of urban challenges. This study examines the issue of j...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/14/1/82 |
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| author | Zhuangtian Liu Shaohua Wu Canying Zeng Yunxiao Dang |
| author_facet | Zhuangtian Liu Shaohua Wu Canying Zeng Yunxiao Dang |
| author_sort | Zhuangtian Liu |
| collection | DOAJ |
| description | The jobs-housing mismatch phenomenon in urban China stems from the combined effects of housing commodification and the improvement of transportation infrastructure. These factors have contributed to the emergence of lengthy commutes and a range of urban challenges. This study examines the issue of jobs-housing mismatch in large cities, focusing on Hangzhou. It utilizes mobile signaling big data, geographically weighted regression, and spatial analysis to investigate the link between land mixed-use and this mismatch. The results reveal that Hangzhou faces a significant residential-employment mismatch, particularly in a ring-like pattern. Central urban areas are relatively balanced, while residential areas band around the center, and employment areas are scattered both centrally and on the outskirts. Land mixed-use impacts this mismatch spatially. In new developments, increased land use mix exacerbates the mismatch, while in ecological green spaces, it has a suppressive effect. Based on these findings, Hangzhou’s main urban area is divided into nine zones, each with tailored suggestions for balancing residential and employment spaces. This study demonstrates that mobile signaling data can precisely capture micro-level characteristics of residential and employment patterns. A multi-dimensional approach to land mixed-use offers a more comprehensive understanding than a single perspective. The zoning strategy helps establish spatial differences and balance residential-employment relations, providing valuable insights for urban renewal and land function optimization. |
| format | Article |
| id | doaj-art-2d0641533eed42d6b790cf426150e0d9 |
| institution | Kabale University |
| issn | 2073-445X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj-art-2d0641533eed42d6b790cf426150e0d92025-01-24T13:37:49ZengMDPI AGLand2073-445X2025-01-011418210.3390/land14010082Mitigation Strategy of Land Use Mix for Jobs-Housing MismatchZhuangtian Liu0Shaohua Wu1Canying Zeng2Yunxiao Dang3School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, ChinaChina Institute of Regulation and Public Policy Research, Zhejiang University of Finance and Economics, Hangzhou 310018, ChinaSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, ChinaSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, ChinaThe jobs-housing mismatch phenomenon in urban China stems from the combined effects of housing commodification and the improvement of transportation infrastructure. These factors have contributed to the emergence of lengthy commutes and a range of urban challenges. This study examines the issue of jobs-housing mismatch in large cities, focusing on Hangzhou. It utilizes mobile signaling big data, geographically weighted regression, and spatial analysis to investigate the link between land mixed-use and this mismatch. The results reveal that Hangzhou faces a significant residential-employment mismatch, particularly in a ring-like pattern. Central urban areas are relatively balanced, while residential areas band around the center, and employment areas are scattered both centrally and on the outskirts. Land mixed-use impacts this mismatch spatially. In new developments, increased land use mix exacerbates the mismatch, while in ecological green spaces, it has a suppressive effect. Based on these findings, Hangzhou’s main urban area is divided into nine zones, each with tailored suggestions for balancing residential and employment spaces. This study demonstrates that mobile signaling data can precisely capture micro-level characteristics of residential and employment patterns. A multi-dimensional approach to land mixed-use offers a more comprehensive understanding than a single perspective. The zoning strategy helps establish spatial differences and balance residential-employment relations, providing valuable insights for urban renewal and land function optimization.https://www.mdpi.com/2073-445X/14/1/82jobs-housing mismatchland use mixmobile phone signaling dataHangzhou |
| spellingShingle | Zhuangtian Liu Shaohua Wu Canying Zeng Yunxiao Dang Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch Land jobs-housing mismatch land use mix mobile phone signaling data Hangzhou |
| title | Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch |
| title_full | Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch |
| title_fullStr | Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch |
| title_full_unstemmed | Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch |
| title_short | Mitigation Strategy of Land Use Mix for Jobs-Housing Mismatch |
| title_sort | mitigation strategy of land use mix for jobs housing mismatch |
| topic | jobs-housing mismatch land use mix mobile phone signaling data Hangzhou |
| url | https://www.mdpi.com/2073-445X/14/1/82 |
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