Travel preference: an indicator of the benefits of urban green space
ABSTRACTUrban Green Space (UGS) plays a crucial socio-cultural role in improving the quality of life. Assessment of quantity, quality, and accessibility determines whether the UGS are important social benefits. The travel preference of urban residents is a good indicator for the social relevance of...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2024-12-01
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Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2342978 |
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author | Qingyan Meng Linlin Zhang Xuemiao Wang Xinli Hu Mona Allam Jiahao Wu Ming Yan Junnan Qi Weifeng Zhai |
author_facet | Qingyan Meng Linlin Zhang Xuemiao Wang Xinli Hu Mona Allam Jiahao Wu Ming Yan Junnan Qi Weifeng Zhai |
author_sort | Qingyan Meng |
collection | DOAJ |
description | ABSTRACTUrban Green Space (UGS) plays a crucial socio-cultural role in improving the quality of life. Assessment of quantity, quality, and accessibility determines whether the UGS are important social benefits. The travel preference of urban residents is a good indicator for the social relevance of UGS. This study integrates remote sensing and geographic big data to quantitatively analyze and evaluate the social benefits of urban green space. We propose a Green Social Benefit Index (GSBI) based on remote sensing retrieval and classification of urban green space. The GSBI is combined with the data on population mobility to investigate the influence of urban green space on residents’ behavior. The results show that urban residents prefer to move around in places with a higher quantity and quality of urban green space. The magnitude of the influence of urban green spatial features on population heat difference shows that accessibility > quantity > quality. The social benefits of urban green space are higher in middle centers compared to urban centers and city borders. The relationship between urban mobility and urban green space may suggest how to improve the distribution of green space in urban areas. This study could be a reference for the government planning department. |
first_indexed | 2024-04-24T06:55:46Z |
format | Article |
id | doaj.art-b36ed278b9344a029c5ff3bf453fdf76 |
institution | Directory Open Access Journal |
issn | 1753-8947 1753-8955 |
language | English |
last_indexed | 2024-04-24T06:55:46Z |
publishDate | 2024-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | International Journal of Digital Earth |
spelling | doaj.art-b36ed278b9344a029c5ff3bf453fdf762024-04-22T12:00:43ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552024-12-0117110.1080/17538947.2024.2342978Travel preference: an indicator of the benefits of urban green spaceQingyan Meng0Linlin Zhang1Xuemiao Wang2Xinli Hu3Mona Allam4Jiahao Wu5Ming Yan6Junnan Qi7Weifeng Zhai8Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaSchool of Sciences, Qiqihar University, Qiqihar, People’s Republic of ChinaABSTRACTUrban Green Space (UGS) plays a crucial socio-cultural role in improving the quality of life. Assessment of quantity, quality, and accessibility determines whether the UGS are important social benefits. The travel preference of urban residents is a good indicator for the social relevance of UGS. This study integrates remote sensing and geographic big data to quantitatively analyze and evaluate the social benefits of urban green space. We propose a Green Social Benefit Index (GSBI) based on remote sensing retrieval and classification of urban green space. The GSBI is combined with the data on population mobility to investigate the influence of urban green space on residents’ behavior. The results show that urban residents prefer to move around in places with a higher quantity and quality of urban green space. The magnitude of the influence of urban green spatial features on population heat difference shows that accessibility > quantity > quality. The social benefits of urban green space are higher in middle centers compared to urban centers and city borders. The relationship between urban mobility and urban green space may suggest how to improve the distribution of green space in urban areas. This study could be a reference for the government planning department.https://www.tandfonline.com/doi/10.1080/17538947.2024.2342978Urban green spaceremote sensinggeographic big dataresidents travel |
spellingShingle | Qingyan Meng Linlin Zhang Xuemiao Wang Xinli Hu Mona Allam Jiahao Wu Ming Yan Junnan Qi Weifeng Zhai Travel preference: an indicator of the benefits of urban green space International Journal of Digital Earth Urban green space remote sensing geographic big data residents travel |
title | Travel preference: an indicator of the benefits of urban green space |
title_full | Travel preference: an indicator of the benefits of urban green space |
title_fullStr | Travel preference: an indicator of the benefits of urban green space |
title_full_unstemmed | Travel preference: an indicator of the benefits of urban green space |
title_short | Travel preference: an indicator of the benefits of urban green space |
title_sort | travel preference an indicator of the benefits of urban green space |
topic | Urban green space remote sensing geographic big data residents travel |
url | https://www.tandfonline.com/doi/10.1080/17538947.2024.2342978 |
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