Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel
The COVID-19 pandemic has led to a burgeoning demand for active travel (walking or cycling), which is a healthy, pollution-free, and affordable daily transportation mode. Park green space (PGS), as an open natural landscape, have become a popular destination for active travel trips in metropolitan a...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-05-01
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Series: | Frontiers in Environmental Science |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.864966/full |
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author | Yuanyuan Luo Yanfang Liu Lijun Xing Nannan Wang Lei Rao |
author_facet | Yuanyuan Luo Yanfang Liu Lijun Xing Nannan Wang Lei Rao |
author_sort | Yuanyuan Luo |
collection | DOAJ |
description | The COVID-19 pandemic has led to a burgeoning demand for active travel (walking or cycling), which is a healthy, pollution-free, and affordable daily transportation mode. Park green space (PGS), as an open natural landscape, have become a popular destination for active travel trips in metropolitan areas. Pedestrians and cyclists are often at high crash risk when exposed to complicated traffic environments in urban areas. Therefore, this study aims to propose a safety assessment framework for evaluating active travel traffic safety (ATTS) near PGS from the perspective of urban planning and exploring the effect of the point-of-interest (POI) aggregation phenomenon on ATTS. First, links between ATTS and the environment variables were investigated and integrated into the framework using the catastrophe model. Second, the relationship between the POI density and ATTS was investigated using three spatial regression models. Results in the Wuhan Metropolitan Area as a case study have shown that (1) the population density, road density, nighttime brightness, and vegetation situation near PGS have pronounced effects on ATTS; (2) pedestrians near PGS enjoy safer road facilities than cyclists. Active travel traffic near PGS requires more attention than non-park neighborhoods; (3) among four park categories, using active travel to access theme parks is the safest; and (4) SEM has the best fit for POI cluster research. Increases in leisure facility density and residence density may lead to deterioration and improvement in ATTS safety levels near PGSs, respectively. The safety framework can be applied in other regions because the selected environment indicators are common and accessible. The findings offer appropriate traffic planning strategies to improve the safety of active travel users when accessing PGS. |
first_indexed | 2024-04-14T04:55:11Z |
format | Article |
id | doaj.art-9772bbe7168e43b8b62662c62455706d |
institution | Directory Open Access Journal |
issn | 2296-665X |
language | English |
last_indexed | 2024-04-14T04:55:11Z |
publishDate | 2022-05-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Environmental Science |
spelling | doaj.art-9772bbe7168e43b8b62662c62455706d2022-12-22T02:11:11ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-05-011010.3389/fenvs.2022.864966864966Road Safety Evaluation Framework for Accessing Park Green Space Using Active TravelYuanyuan Luo0Yanfang Liu1Lijun Xing2Nannan Wang3Lei Rao4School of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaFaculty of Resources and Environmental Science, Hubei University, Wuhan, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, ChinaThe COVID-19 pandemic has led to a burgeoning demand for active travel (walking or cycling), which is a healthy, pollution-free, and affordable daily transportation mode. Park green space (PGS), as an open natural landscape, have become a popular destination for active travel trips in metropolitan areas. Pedestrians and cyclists are often at high crash risk when exposed to complicated traffic environments in urban areas. Therefore, this study aims to propose a safety assessment framework for evaluating active travel traffic safety (ATTS) near PGS from the perspective of urban planning and exploring the effect of the point-of-interest (POI) aggregation phenomenon on ATTS. First, links between ATTS and the environment variables were investigated and integrated into the framework using the catastrophe model. Second, the relationship between the POI density and ATTS was investigated using three spatial regression models. Results in the Wuhan Metropolitan Area as a case study have shown that (1) the population density, road density, nighttime brightness, and vegetation situation near PGS have pronounced effects on ATTS; (2) pedestrians near PGS enjoy safer road facilities than cyclists. Active travel traffic near PGS requires more attention than non-park neighborhoods; (3) among four park categories, using active travel to access theme parks is the safest; and (4) SEM has the best fit for POI cluster research. Increases in leisure facility density and residence density may lead to deterioration and improvement in ATTS safety levels near PGSs, respectively. The safety framework can be applied in other regions because the selected environment indicators are common and accessible. The findings offer appropriate traffic planning strategies to improve the safety of active travel users when accessing PGS.https://www.frontiersin.org/articles/10.3389/fenvs.2022.864966/fullactive travelurban green spacetraffic safetyframework integrationspatial regression |
spellingShingle | Yuanyuan Luo Yanfang Liu Lijun Xing Nannan Wang Lei Rao Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel Frontiers in Environmental Science active travel urban green space traffic safety framework integration spatial regression |
title | Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel |
title_full | Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel |
title_fullStr | Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel |
title_full_unstemmed | Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel |
title_short | Road Safety Evaluation Framework for Accessing Park Green Space Using Active Travel |
title_sort | road safety evaluation framework for accessing park green space using active travel |
topic | active travel urban green space traffic safety framework integration spatial regression |
url | https://www.frontiersin.org/articles/10.3389/fenvs.2022.864966/full |
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