Impact of urban form and street infrastructure on pedestrian-motorist collisions

被引:0
作者
Foreman, Taylor [1 ]
Lin, Meimei [2 ]
Tu, Wei [3 ]
Yarbrough, Robert [3 ]
机构
[1] Coweta Cty GIS Dept, Newnan, GA USA
[2] Georgia Southern Univ, Sch Earth Environm & Sustainabil, 11935 Abercorn St, Savannah, GA 31419 USA
[3] Georgia Southern Univ, Sch Earth Environm & Sustainabil, Statesboro, GA USA
关键词
Pedestrian safety; urban form; street infrastructure; land use diversity; spatial autoregressive models; LAND-USE; SPATIAL-ANALYSIS; TRAFFIC CRASHES; TRANSPORTATION; ACCIDENTS; DESIGN; FREQUENCY; FEATURES; VEHICLE; MODEL;
D O I
10.1080/17457300.2024.2351961
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
This study examines the impact of urban form and street infrastructure on pedestrian safety in Atlanta, Georgia, and Boston, Massachusetts. With a significant rise in pedestrian fatalities over the past decade, understanding how cities' built environments influence safety is critical. We conducted geospatial analyses and statistical tests, revealing unique patterns in each city. Atlanta's sprawling, motorist-oriented layout is associated with increased pedestrian accidents, particularly at crosswalks, due to limited land use diversity, arterial roads, and streets with high speed limits and multiple lanes. In contrast, Boston's compact, pedestrian-oriented design leads to improved safety, featuring safer pedestrian crossings, greater land use diversity, reduced arterial roads and lower speed limits on single-lane streets. This study also highlights the importance of diverse urban forms and pedestrian infrastructure in shaping pedestrian safety. While population density and land use diversity impact accident rates, the presence of crosswalks and street configurations play crucial roles. Our findings underscore the urgency for urban planners to prioritize pedestrian safety through targeted interventions, such as enhancing crosswalks, reducing speed limits and promoting mixed land use. Future research should explore additional variables, alternative modelling techniques and non-linear approaches to gain a more comprehensive understanding of these complex relationships.
引用
收藏
页码:521 / 533
页数:13
相关论文
共 57 条
[1]  
Ambrose A., 2020, ATLANTA NEW GEORGIA
[2]  
[Anonymous], 2020, 2020 TIGER/Line Shapefiles (machine readable data files)
[3]  
[Anonymous], 2023, ArcGIS PRO
[4]  
[Anonymous], 2021, QUICKFACTS
[5]   Spatial externalities, spatial multipliers, and spatial econometrics [J].
Anselin, L .
INTERNATIONAL REGIONAL SCIENCE REVIEW, 2003, 26 (02) :153-166
[6]  
Anselin Luc, 1980, ESTIMATION METHODS S
[7]  
Atlanta Department of City Planning, 2021, ZON DISTR
[8]   R Packages for Analyzing Spatial Data: A Comparative Case Study with Areal Data [J].
Bivand, Roger .
GEOGRAPHICAL ANALYSIS, 2022, 54 (03) :488-518
[9]  
Bivand RS, 2008, USE R, P1
[10]  
Boston Maps, 2023, BOSTON ZONING SUBDIS