Influence of walking accessibility for metro system on pedestrian safety: A multiple membership multilevel model

被引:1
|
作者
Zhu, Manman [1 ]
Sze, N. N. [1 ]
Li, Haojie [2 ,3 ,4 ]
机构
[1] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
[2] Southeast Univ, Sch Transportat, Nanjing, Peoples R China
[3] ITS, Jiangsu Key Lab Urban, Nanjing, Peoples R China
[4] Jiangsu Prov Collaborat Innovat Ctr Modern Urban T, Nanjing, Peoples R China
关键词
Pedestrian safety; Walking accessibility; Multiple membership multilevel model; Urban rail transit; Hierarchical data; MICROSCALE ENVIRONMENTAL-FACTORS; PUBLIC TRANSPORT; BUILT ENVIRONMENT; ROAD SAFETY; CRASH PREDICTION; ACCESS; IDENTIFICATION; INTERSECTION; INDIVIDUALS; MACRO;
D O I
10.1016/j.amar.2024.100337
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
In the past decades, many cities have adopted transit-oriented development approach for urban planning. Studies have explored the effects of built environment, street network and accessibility on the perception and behaviour of pedestrians. However, the relationship between pedestrian safety and walking accessibility is less studied. In this study, influences of land use, sociodemographics, pedestrian network, and transport facilities on pedestrian crash frequencies in the areas around metro stations would be evaluated. Additionally, walking accessibility for individuals with and without physical disabilities would be accounted for. Since data at different spatial scales, i.e., zone level (individual) versus catchment area level (group), are used, the hierarchical approach is adopted for the crash frequency model. Furthermore, some zones are nested within the catchment areas of more than one metro station, the multiple membership approach should be adopted, accounting for the possible correlation. Different from the conventional multiple membership multilevel model, multiple membership weights would be assigned in accordance with the walking distances between zones and stations. Last but not least, temporal instability in the parameter estimation is also explored. Results indicate that pedestrian crash frequencies increase with population density, working population, traffic volume, walking trip, footpath density, node density, barrier-free facilities, bus stop, residential area, commercial area, and government and utility area. In contrast, pedestrian crash frequencies decrease with average gradient and walking accessibility. Findings should shed light on the street design that can enhance walking accessibility and public transport use, without compromising pedestrian safety. Moreover, issues of spatial crash analysis, including hierarchical data structure, and between- and within-group variances, are addressed.
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页数:17
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