Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao

Enhancing the walkability of urban streets is an effective means to improve public health, alleviate traffic congestion, and enhance the living environment. In China, the government has actively encouraged green travel and promoted improvements in the walk system. The walkability of the built enviro...

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Main Authors: Ye Sun, Wei Lu, Peijin Sun
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:International Journal of Environmental Research and Public Health
Subjects:
Online Access:https://www.mdpi.com/1660-4601/18/3/1277
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spelling doaj-d211b5ef4ab64653997f968e0e47d01a2021-02-01T00:03:02ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012021-01-01181277127710.3390/ijerph18031277Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in QingdaoYe Sun0Wei Lu1Peijin Sun2School of Architecture and Arts, Dalian University of Technology, Dalian 116081, ChinaSchool of Architecture and Arts, Dalian University of Technology, Dalian 116081, ChinaSchool of Architecture and Arts, Dalian University of Technology, Dalian 116081, ChinaEnhancing the walkability of urban streets is an effective means to improve public health, alleviate traffic congestion, and enhance the living environment. In China, the government has actively encouraged green travel and promoted improvements in the walk system. The walkability of the built environment is affected by many factors. In addition to the configuration of daily life facilities, street greening can have significant effects on walkability. To explore the rationality of street life facilities and understand the impact of the natural attributes of the block space (street-level greening) on the quality of the walking environment, we evaluated the walkability of Zhongshan Road in Qingdao, China and optimized the algorithm of the walk score. In this study, we selected residential areas as the starting point and modified the weight coefficients for facilities to evaluate the walkability of streets. Traditional research methods were combined with street view image capture, and the rate of the attenuation factor was used for the new optimization algorithm. We discussed the rationality of street life facilities and increased the green vision rate using a correction index. By comparing changes in walkability before and after joining, we analyzed the necessity of including new indicators. The results show that the average walking index of Zhongshan Road is 79.74, and the overall performance is good, showing a high trend in the west and a low trend in the east, and a high trend in the south and a low trend in the north. According to the general walking index, western stations and southern coastal areas have higher scores, and living facilities are well equipped; old northern and eastern residential areas have lower scores. Among them, the average weight of bookstores is 0.74, and the average weight of parks is 0.69. To meet residents’ needs for daily leisure activities, adding bookstores or similar facilities in community parks would be necessary to improve daily facilities and services. The average green viewing rate of Zhongshan Road is 20.48%, which is lower than the best visual perception value of 25.00%. Comparing the walking index changes before and after adding the green viewing rate, the high-scoring area shifted from the west to the south, and the west walking index has the most significant decline. Street greening has a certain impact on the quality of the walking environment. The results and conclusions of this study can be used as a reference in developing street walkability indicators and further improving the evaluation system.https://www.mdpi.com/1660-4601/18/3/1277walking indexdaily life facilitiesgreen vision rategeographic information system (GIS)
collection DOAJ
language English
format Article
sources DOAJ
author Ye Sun
Wei Lu
Peijin Sun
spellingShingle Ye Sun
Wei Lu
Peijin Sun
Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao
International Journal of Environmental Research and Public Health
walking index
daily life facilities
green vision rate
geographic information system (GIS)
author_facet Ye Sun
Wei Lu
Peijin Sun
author_sort Ye Sun
title Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao
title_short Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao
title_full Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao
title_fullStr Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao
title_full_unstemmed Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao
title_sort optimization of walk score based on street greening—a case study of zhongshan road in qingdao
publisher MDPI AG
series International Journal of Environmental Research and Public Health
issn 1661-7827
1660-4601
publishDate 2021-01-01
description Enhancing the walkability of urban streets is an effective means to improve public health, alleviate traffic congestion, and enhance the living environment. In China, the government has actively encouraged green travel and promoted improvements in the walk system. The walkability of the built environment is affected by many factors. In addition to the configuration of daily life facilities, street greening can have significant effects on walkability. To explore the rationality of street life facilities and understand the impact of the natural attributes of the block space (street-level greening) on the quality of the walking environment, we evaluated the walkability of Zhongshan Road in Qingdao, China and optimized the algorithm of the walk score. In this study, we selected residential areas as the starting point and modified the weight coefficients for facilities to evaluate the walkability of streets. Traditional research methods were combined with street view image capture, and the rate of the attenuation factor was used for the new optimization algorithm. We discussed the rationality of street life facilities and increased the green vision rate using a correction index. By comparing changes in walkability before and after joining, we analyzed the necessity of including new indicators. The results show that the average walking index of Zhongshan Road is 79.74, and the overall performance is good, showing a high trend in the west and a low trend in the east, and a high trend in the south and a low trend in the north. According to the general walking index, western stations and southern coastal areas have higher scores, and living facilities are well equipped; old northern and eastern residential areas have lower scores. Among them, the average weight of bookstores is 0.74, and the average weight of parks is 0.69. To meet residents’ needs for daily leisure activities, adding bookstores or similar facilities in community parks would be necessary to improve daily facilities and services. The average green viewing rate of Zhongshan Road is 20.48%, which is lower than the best visual perception value of 25.00%. Comparing the walking index changes before and after adding the green viewing rate, the high-scoring area shifted from the west to the south, and the west walking index has the most significant decline. Street greening has a certain impact on the quality of the walking environment. The results and conclusions of this study can be used as a reference in developing street walkability indicators and further improving the evaluation system.
topic walking index
daily life facilities
green vision rate
geographic information system (GIS)
url https://www.mdpi.com/1660-4601/18/3/1277
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