Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China
Urban street comfort is a crucial measure of street environmental quality. However, traditional evaluations primarily focus on physical elements, often neglecting pedestrian perceptions. In this study, considering five core evaluation dimensions—safety, mobility, aesthetics, perceptibility, and conv...
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MDPI AG
2025-02-01
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| Series: | ISPRS International Journal of Geo-Information |
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| author | Jiarui Qin Yizhe Feng Yehua Sheng Yi Huang Fengyuan Zhang Kaixuan Zhang |
| author_facet | Jiarui Qin Yizhe Feng Yehua Sheng Yi Huang Fengyuan Zhang Kaixuan Zhang |
| author_sort | Jiarui Qin |
| collection | DOAJ |
| description | Urban street comfort is a crucial measure of street environmental quality. However, traditional evaluations primarily focus on physical elements, often neglecting pedestrian perceptions. In this study, considering five core evaluation dimensions—safety, mobility, aesthetics, perceptibility, and convenience—an innovative quantitative evaluation model is proposed to assess pedestrian-perceived comfort on urban streets by integrating physical environmental factors and subjective experiences. This analysis comprises two steps: evaluation indicator extraction and weight application. Indicators are extracted from multi-source data (street-view images, real-time traffic data, points of interest, and pedestrian surveys) using a deep learning method. A comprehensive weighting method combining entropy weight and the analytic hierarchy process is used to determine the relative importance of each factor. This study focuses on Nanjing as a case study, and the results reveal significant variations across the five dimensions and their 11 secondary indicators. Street environment safety (0.143) is critical for street safety, while the degree of street traffic congestion (0.121) dominates street mobility. Street aesthetics is primarily influenced by building enclosure (0.105), and street convenience is strongly affected by the number of surrounding bus stops (0.260). Spatial analysis indicates higher comfort levels in urban centers due to well-developed infrastructure, whereas peripheral areas face challenges from inadequate facilities. Notably, areas around parks demonstrate elevated pedestrian-perceived comfort levels, highlighting the importance of green spaces. Overall, the proposed evaluation system provides new insights from the perspective of pedestrian experience and offers valuable guidance for urban planning and policy. |
| format | Article |
| id | doaj-art-6f49b3be5fb641aeae40cfaad380d4ce |
| institution | DOAJ |
| issn | 2220-9964 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
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| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-6f49b3be5fb641aeae40cfaad380d4ce2025-08-20T02:44:35ZengMDPI AGISPRS International Journal of Geo-Information2220-99642025-02-011426310.3390/ijgi14020063Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, ChinaJiarui Qin0Yizhe Feng1Yehua Sheng2Yi Huang3Fengyuan Zhang4Kaixuan Zhang5Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Key Laboratory of Virtual Geographic Environment, School of Geography, Ministry of Education, Nanjing Normal University, NO.1, Wenyuan Road, Qixia District, Nanjing 210023, ChinaHangzhou Real Estate Registration Center, Hangzhou 310026, ChinaJiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Key Laboratory of Virtual Geographic Environment, School of Geography, Ministry of Education, Nanjing Normal University, NO.1, Wenyuan Road, Qixia District, Nanjing 210023, ChinaSchool of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, ChinaSchool of Environment, Nanjing Normal University, Nanjing 210023, ChinaJiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Key Laboratory of Virtual Geographic Environment, School of Geography, Ministry of Education, Nanjing Normal University, NO.1, Wenyuan Road, Qixia District, Nanjing 210023, ChinaUrban street comfort is a crucial measure of street environmental quality. However, traditional evaluations primarily focus on physical elements, often neglecting pedestrian perceptions. In this study, considering five core evaluation dimensions—safety, mobility, aesthetics, perceptibility, and convenience—an innovative quantitative evaluation model is proposed to assess pedestrian-perceived comfort on urban streets by integrating physical environmental factors and subjective experiences. This analysis comprises two steps: evaluation indicator extraction and weight application. Indicators are extracted from multi-source data (street-view images, real-time traffic data, points of interest, and pedestrian surveys) using a deep learning method. A comprehensive weighting method combining entropy weight and the analytic hierarchy process is used to determine the relative importance of each factor. This study focuses on Nanjing as a case study, and the results reveal significant variations across the five dimensions and their 11 secondary indicators. Street environment safety (0.143) is critical for street safety, while the degree of street traffic congestion (0.121) dominates street mobility. Street aesthetics is primarily influenced by building enclosure (0.105), and street convenience is strongly affected by the number of surrounding bus stops (0.260). Spatial analysis indicates higher comfort levels in urban centers due to well-developed infrastructure, whereas peripheral areas face challenges from inadequate facilities. Notably, areas around parks demonstrate elevated pedestrian-perceived comfort levels, highlighting the importance of green spaces. Overall, the proposed evaluation system provides new insights from the perspective of pedestrian experience and offers valuable guidance for urban planning and policy.https://www.mdpi.com/2220-9964/14/2/63pedestrian-perceived comforturban streetmultidimensional evaluationmulti-source datacombined weighting method |
| spellingShingle | Jiarui Qin Yizhe Feng Yehua Sheng Yi Huang Fengyuan Zhang Kaixuan Zhang Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China ISPRS International Journal of Geo-Information pedestrian-perceived comfort urban street multidimensional evaluation multi-source data combined weighting method |
| title | Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China |
| title_full | Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China |
| title_fullStr | Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China |
| title_full_unstemmed | Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China |
| title_short | Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China |
| title_sort | evaluation of pedestrian perceived comfort on urban streets using multi source data a case study in nanjing china |
| topic | pedestrian-perceived comfort urban street multidimensional evaluation multi-source data combined weighting method |
| url | https://www.mdpi.com/2220-9964/14/2/63 |
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