Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas
Urban greenways are pivotal in enriching urban quality and fostering socio-ecological sustainability. Previous studies on urban greenway networks have often overlooked user-based experience efficiency, leading to the underutilization and insufficient translation of cultural services into human well-...
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2024-10-01
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| author | Tao Liu Le Yu Xin Chen Yunmiao Chen Xiaomeng Li Xinyi Liu Yue Cao Fan Zhang Chenggang Zhang Peng Gong |
| author_facet | Tao Liu Le Yu Xin Chen Yunmiao Chen Xiaomeng Li Xinyi Liu Yue Cao Fan Zhang Chenggang Zhang Peng Gong |
| author_sort | Tao Liu |
| collection | DOAJ |
| description | Urban greenways are pivotal in enriching urban quality and fostering socio-ecological sustainability. Previous studies on urban greenway networks have often overlooked user-based experience efficiency, leading to the underutilization and insufficient translation of cultural services into human well-being. In this study, we introduce a user behavior-driven assessment framework for planning multifunctional urban greenways that connect parks with high green space exposure and maximize recreational mobility. Beijing’s built-up urban areas (BBUA) were selected as the case study area. Firstly, we evaluated the green space exposure of 331 parks in BBUA using an integrated “Availability–Accessibility–Adaptability” assessment framework as potential carriers. Then, through spatially explicit workflows and the least-cost path methodology, we leveraged a vast dataset of 70 million public transportation swipe records to optimize the alignment of multifunctional greenways, prioritizing the criterion of maximizing recreational footfalls. The results showed that the potential greenways network spans 1566.36 km in BBUA, encompassing 93.88% of parks and offering six diverse functions. It can serve 34.39–35.92% of bus recreation passengers, with this ratio tending to be higher on weekends. However, we identified obstacle points (non-greenway sections) in the networks based on residents’ view perceptions and panoramic street images, primarily located in densely built-up central areas and along southern trunk roads. By addressing these disconnections, the integrity and connectivity of urban greenway networks in BBUA will be improved. Overall, the framework we present can be used to construct greenway networks that maximize the perceived accessibility for bus-based visitors, with valuable implications for sustainable urban planning and regeneration initiatives. |
| format | Article |
| id | doaj-art-afa8513a9acf416c913b5c6b4ad0efa0 |
| institution | Kabale University |
| issn | 2073-445X |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj-art-afa8513a9acf416c913b5c6b4ad0efa02024-11-26T18:09:14ZengMDPI AGLand2073-445X2024-10-011311179310.3390/land13111793Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up AreasTao Liu0Le Yu1Xin Chen2Yunmiao Chen3Xiaomeng Li4Xinyi Liu5Yue Cao6Fan Zhang7Chenggang Zhang8Peng Gong9Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, ChinaDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, ChinaInstitute of Loess Plateau, Shanxi University, Taiyuan 030006, ChinaDepartment of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, ChinaSchool of Social Work, China Women’s University, Beijing 100101, ChinaDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, ChinaDepartment of Landscape Architecture, School of Architecture, Tsinghua University, Beijing 100084, ChinaInstitute of Remote Sensing and Geographical Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, ChinaSchool of Social Sciences, Tsinghua University, Beijing 100084, ChinaMinistry of Education Ecological Field Station for East Asian Migratory Birds, Department of Earth System Science, Tsinghua University, Beijing 100084, ChinaUrban greenways are pivotal in enriching urban quality and fostering socio-ecological sustainability. Previous studies on urban greenway networks have often overlooked user-based experience efficiency, leading to the underutilization and insufficient translation of cultural services into human well-being. In this study, we introduce a user behavior-driven assessment framework for planning multifunctional urban greenways that connect parks with high green space exposure and maximize recreational mobility. Beijing’s built-up urban areas (BBUA) were selected as the case study area. Firstly, we evaluated the green space exposure of 331 parks in BBUA using an integrated “Availability–Accessibility–Adaptability” assessment framework as potential carriers. Then, through spatially explicit workflows and the least-cost path methodology, we leveraged a vast dataset of 70 million public transportation swipe records to optimize the alignment of multifunctional greenways, prioritizing the criterion of maximizing recreational footfalls. The results showed that the potential greenways network spans 1566.36 km in BBUA, encompassing 93.88% of parks and offering six diverse functions. It can serve 34.39–35.92% of bus recreation passengers, with this ratio tending to be higher on weekends. However, we identified obstacle points (non-greenway sections) in the networks based on residents’ view perceptions and panoramic street images, primarily located in densely built-up central areas and along southern trunk roads. By addressing these disconnections, the integrity and connectivity of urban greenway networks in BBUA will be improved. Overall, the framework we present can be used to construct greenway networks that maximize the perceived accessibility for bus-based visitors, with valuable implications for sustainable urban planning and regeneration initiatives.https://www.mdpi.com/2073-445X/13/11/1793greenwayspublic transportationgreen space exposurestreet panoramic viewBBUA |
| spellingShingle | Tao Liu Le Yu Xin Chen Yunmiao Chen Xiaomeng Li Xinyi Liu Yue Cao Fan Zhang Chenggang Zhang Peng Gong Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas Land greenways public transportation green space exposure street panoramic view BBUA |
| title | Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas |
| title_full | Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas |
| title_fullStr | Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas |
| title_full_unstemmed | Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas |
| title_short | Identifying Potential Urban Greenways by Considering Green Space Exposure Levels and Maximizing Recreational Flows: A Case Study in Beijing’s Built-Up Areas |
| title_sort | identifying potential urban greenways by considering green space exposure levels and maximizing recreational flows a case study in beijing s built up areas |
| topic | greenways public transportation green space exposure street panoramic view BBUA |
| url | https://www.mdpi.com/2073-445X/13/11/1793 |
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