The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes
With social media platforms becoming popular in recent years, Big Data has become an effective way to explore human-oriented service capability of parks. In this research, the spatial accessibility of urban parks under four different travel modes (driving, transiting, biking, and walking) and multip...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.924996/full |
| _version_ | 1818050436485087232 |
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| author | Renhua Tan Ruiqi Wang Yu Wang Disheng Yi Yan Chen Wenting Cai Xiangchun Wang |
| author_facet | Renhua Tan Ruiqi Wang Yu Wang Disheng Yi Yan Chen Wenting Cai Xiangchun Wang |
| author_sort | Renhua Tan |
| collection | DOAJ |
| description | With social media platforms becoming popular in recent years, Big Data has become an effective way to explore human-oriented service capability of parks. In this research, the spatial accessibility of urban parks under four different travel modes (driving, transiting, biking, and walking) and multiple modes was analyzed by integrating the actual experiences of visitors and real travel time. We took the built-up area of Chengdu, Sichuan Province, China as the research area and drew conclusions as follows: 1) park accessibility of Chengdu still has a large space for promotion. 2) Residents living in the east region of Qingyang District and Wuhou District, north area of Jinniu District, and Chenghua District are more convenient to visit parks, as well as the population center of Longquanyi District, Shuangliu District, and Pidu District. In addition, riders and walkers are more likely to go to the nearest park. 3) Accessibility of parks would be affected significantly during peak hours and weekends by driving and multiple modes, while the other travel modes had little influence. 4) Spatial aggregation was more obvious during the peak hours of weekdays under driving modes, while there were obvious cold spot areas distributed continuously for riders. 5) Park desert was found in Yongquan Subdistrict, Jitouqiao Subdistrict, and Chenglonglu Subdistrict, which were near the downtown. Overall, Chengdu must make rational use of small and micro spaces in the city to add greenery to the corners of the city and integrate parks with other surrounding industries to inspire the entertainment, economy, and tourism function of parks. Through the modified 2SFCA method, this study provide a more realistic and human-oriented way to demonstrate the accessibility. Also, the results can guide cities to understand what reasonable and appropriate parks they need to build to achieve the equalization of park recreation services. |
| first_indexed | 2024-12-10T10:53:27Z |
| format | Article |
| id | doaj.art-2fbc8cb5546a42c780b7f0228cb52532 |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-12-10T10:53:27Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-2fbc8cb5546a42c780b7f0228cb525322022-12-22T01:51:56ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-09-011010.3389/fenvs.2022.924996924996The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modesRenhua Tan0Ruiqi Wang1Yu Wang2Disheng Yi3Yan Chen4Wenting Cai5Xiangchun Wang6China Urban Construction Design & Research Institute Co Ltd, Beijing, ChinaSchool of Civil & Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, ChinaChina Urban Construction Design & Research Institute Co Ltd, Beijing, ChinaCollege of Resources Environment and Tourism, Capital Normal University, Beijing, ChinaChina Urban Construction Design & Research Institute Co Ltd, Beijing, ChinaChina Urban Construction Design & Research Institute Co Ltd, Beijing, ChinaChina Urban Construction Design & Research Institute Co Ltd, Beijing, ChinaWith social media platforms becoming popular in recent years, Big Data has become an effective way to explore human-oriented service capability of parks. In this research, the spatial accessibility of urban parks under four different travel modes (driving, transiting, biking, and walking) and multiple modes was analyzed by integrating the actual experiences of visitors and real travel time. We took the built-up area of Chengdu, Sichuan Province, China as the research area and drew conclusions as follows: 1) park accessibility of Chengdu still has a large space for promotion. 2) Residents living in the east region of Qingyang District and Wuhou District, north area of Jinniu District, and Chenghua District are more convenient to visit parks, as well as the population center of Longquanyi District, Shuangliu District, and Pidu District. In addition, riders and walkers are more likely to go to the nearest park. 3) Accessibility of parks would be affected significantly during peak hours and weekends by driving and multiple modes, while the other travel modes had little influence. 4) Spatial aggregation was more obvious during the peak hours of weekdays under driving modes, while there were obvious cold spot areas distributed continuously for riders. 5) Park desert was found in Yongquan Subdistrict, Jitouqiao Subdistrict, and Chenglonglu Subdistrict, which were near the downtown. Overall, Chengdu must make rational use of small and micro spaces in the city to add greenery to the corners of the city and integrate parks with other surrounding industries to inspire the entertainment, economy, and tourism function of parks. Through the modified 2SFCA method, this study provide a more realistic and human-oriented way to demonstrate the accessibility. Also, the results can guide cities to understand what reasonable and appropriate parks they need to build to achieve the equalization of park recreation services.https://www.frontiersin.org/articles/10.3389/fenvs.2022.924996/fullaccessibilitytravel modesbig datacity parksspatial analysis |
| spellingShingle | Renhua Tan Ruiqi Wang Yu Wang Disheng Yi Yan Chen Wenting Cai Xiangchun Wang The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes Frontiers in Environmental Science accessibility travel modes big data city parks spatial analysis |
| title | The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes |
| title_full | The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes |
| title_fullStr | The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes |
| title_full_unstemmed | The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes |
| title_short | The Park city perspective study: Revealing the park accessibility influenced by experiences of visitors under different travel modes |
| title_sort | park city perspective study revealing the park accessibility influenced by experiences of visitors under different travel modes |
| topic | accessibility travel modes big data city parks spatial analysis |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.924996/full |
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