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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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Autores principales: Sun, Ye, Lu, Wei, Sun, Peijin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908287/
https://www.ncbi.nlm.nih.gov/pubmed/33572643
http://dx.doi.org/10.3390/ijerph18031277
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author Sun, Ye
Lu, Wei
Sun, Peijin
author_facet Sun, Ye
Lu, Wei
Sun, Peijin
author_sort Sun, Ye
collection PubMed
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.
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spelling pubmed-79082872021-02-27 Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao Sun, Ye Lu, Wei Sun, Peijin Int J Environ Res Public Health Article 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. MDPI 2021-01-31 2021-02 /pmc/articles/PMC7908287/ /pubmed/33572643 http://dx.doi.org/10.3390/ijerph18031277 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Ye
Lu, Wei
Sun, Peijin
Optimization of Walk Score Based on Street Greening—A Case Study of Zhongshan Road in Qingdao
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7908287/
https://www.ncbi.nlm.nih.gov/pubmed/33572643
http://dx.doi.org/10.3390/ijerph18031277
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