Disentangling the effects of the surrounding environment on street-side greenery: Evidence from Hangzhou
Human-scale greenery has been heavily featured in the development of planning-related theories and research. Daily exposure to street greenery is proportionately greater than exposure to parks. Several case studies have estimated the green view index (GVI), which quantifies daily exposure to street-...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-10-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22006252 |
| _version_ | 1811268161756987392 |
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| author | Jinxia Zhu Lefeng Qiu Yanjun Su Qinghua Guo Tianyu Hu Haijun Bao Junhan Luo Shaohua Wu Qian Xu Zhenlin Wang Yi Pan |
| author_facet | Jinxia Zhu Lefeng Qiu Yanjun Su Qinghua Guo Tianyu Hu Haijun Bao Junhan Luo Shaohua Wu Qian Xu Zhenlin Wang Yi Pan |
| author_sort | Jinxia Zhu |
| collection | DOAJ |
| description | Human-scale greenery has been heavily featured in the development of planning-related theories and research. Daily exposure to street greenery is proportionately greater than exposure to parks. Several case studies have estimated the green view index (GVI), which quantifies daily exposure to street-side greenery, at the city-scale. However, the street-side greenery distribution is uneven. The relationship between the GVI and the surrounding environment has rarely been discussed. Here, we investigate the differentiation of street greenery from the physical features of a street and examine how the surrounding environment affects the physical appearance of eye-level greenery. In this work, we analyzed the GVI using the internet data crawling approach and obtained 12,232 panoramic street view images from Baidu Map for the urban zones of Hangzhou, China. A range of 17 surrounding environmental characteristics are integrated with multisource geographic data to analyze their relationship with the GVI at the microscale. Spatial econometric models are explored to provide insights into the underlying mechanisms associated with the GVI. The results showed that the surrounding environment exhibited a strong role in the physical appearance of eye-level greenness. There are two pathways through which surrounding environmental characteristics (the nature of land use and the enclosure of the street) affect the distribution of GVI. Four factors proved to be important: scenic protection policies and ecological renewal projects, vertical and horizontal green characteristics of different land uses, and facade designs dominated by enclosed exterior walls or railing walls. Interesting approaches are presented to rationally implement activities related to these factors. The urban green design process should be facilitated in terms of the trade-off between greenery and optimum land use. These findings can be useful in drafting appropriate policies and increasing eye-level greenery in cities. |
| first_indexed | 2024-04-12T21:16:52Z |
| format | Article |
| id | doaj.art-28a7d3e0211f48db89a53ebdfc3caa4c |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-12T21:16:52Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-28a7d3e0211f48db89a53ebdfc3caa4c2022-12-22T03:16:24ZengElsevierEcological Indicators1470-160X2022-10-01143109153Disentangling the effects of the surrounding environment on street-side greenery: Evidence from HangzhouJinxia Zhu0Lefeng Qiu1Yanjun Su2Qinghua Guo3Tianyu Hu4Haijun Bao5Junhan Luo6Shaohua Wu7Qian Xu8Zhenlin Wang9Yi Pan10Institute of Land and Urban-Rural Development, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaInstitute of Land and Urban-Rural Development, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, ChinaInstitute of Ecology, College of Urban and Environmental Science, Peking University, Beijing 100871, ChinaState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, ChinaSchool of Public Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaSchool of Public Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaInstitute of Land and Urban-Rural Development, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaSchool of Public Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, ChinaZhejiang University of Technology Engineering Design Group CO., LTD, Hangzhou 310014, ChinaInstitute of Land and Urban-Rural Development, Zhejiang University of Finance & Economics, Hangzhou 310018, China; Corresponding author at: Institute of Land and Urban-Rural Development, Zhejiang University of Finance & Economics, 18 xueyuan Street, Hangzhou 310019, China.Human-scale greenery has been heavily featured in the development of planning-related theories and research. Daily exposure to street greenery is proportionately greater than exposure to parks. Several case studies have estimated the green view index (GVI), which quantifies daily exposure to street-side greenery, at the city-scale. However, the street-side greenery distribution is uneven. The relationship between the GVI and the surrounding environment has rarely been discussed. Here, we investigate the differentiation of street greenery from the physical features of a street and examine how the surrounding environment affects the physical appearance of eye-level greenery. In this work, we analyzed the GVI using the internet data crawling approach and obtained 12,232 panoramic street view images from Baidu Map for the urban zones of Hangzhou, China. A range of 17 surrounding environmental characteristics are integrated with multisource geographic data to analyze their relationship with the GVI at the microscale. Spatial econometric models are explored to provide insights into the underlying mechanisms associated with the GVI. The results showed that the surrounding environment exhibited a strong role in the physical appearance of eye-level greenness. There are two pathways through which surrounding environmental characteristics (the nature of land use and the enclosure of the street) affect the distribution of GVI. Four factors proved to be important: scenic protection policies and ecological renewal projects, vertical and horizontal green characteristics of different land uses, and facade designs dominated by enclosed exterior walls or railing walls. Interesting approaches are presented to rationally implement activities related to these factors. The urban green design process should be facilitated in terms of the trade-off between greenery and optimum land use. These findings can be useful in drafting appropriate policies and increasing eye-level greenery in cities.http://www.sciencedirect.com/science/article/pii/S1470160X22006252Green view indexSurrounding environmental characteristicsFacade design characteristicsVertical green characteristicsStreet enclosure |
| spellingShingle | Jinxia Zhu Lefeng Qiu Yanjun Su Qinghua Guo Tianyu Hu Haijun Bao Junhan Luo Shaohua Wu Qian Xu Zhenlin Wang Yi Pan Disentangling the effects of the surrounding environment on street-side greenery: Evidence from Hangzhou Ecological Indicators Green view index Surrounding environmental characteristics Facade design characteristics Vertical green characteristics Street enclosure |
| title | Disentangling the effects of the surrounding environment on street-side greenery: Evidence from Hangzhou |
| title_full | Disentangling the effects of the surrounding environment on street-side greenery: Evidence from Hangzhou |
| title_fullStr | Disentangling the effects of the surrounding environment on street-side greenery: Evidence from Hangzhou |
| title_full_unstemmed | Disentangling the effects of the surrounding environment on street-side greenery: Evidence from Hangzhou |
| title_short | Disentangling the effects of the surrounding environment on street-side greenery: Evidence from Hangzhou |
| title_sort | disentangling the effects of the surrounding environment on street side greenery evidence from hangzhou |
| topic | Green view index Surrounding environmental characteristics Facade design characteristics Vertical green characteristics Street enclosure |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22006252 |
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