Using geographically weighted logistic regression (GWLR) for pedestrian crash severity modeling: Exploring spatially varying relationships with natural and built environment factors

Assessing the effectiveness of built environment-based safety measures in urban and rural areas for reducing the non-motorist crashes

(2023) Ahmad Ilderim Tokey et al.   Heliyon

Pedestrian injury outcomes in the developing urban metropolis: Econometric models for assessing risk factors

(2022) Shahnewaz Hasanat-E-Rabbi et al.   IATSS Research

Investigating risk factors associated with pedestrian crash occurrence and injury severity in Texas

(2022) Mashrur Rahman et al.   Traffic Injury Prevention

Geographically Weighted Method Integrated with Logistic Regression for Analyzing Spatially Varying Accuracy Measures of Remote Sensing Image Classification

(2021) Varun Narayan Mishra et al.   Journal of the Indian Society of Remote Sensing

Pedestrian Injury Severity in Dhaka, Bangladesh: A Latent Segmentation-Based Logit Modeling Approach

(2021) Bijoy Saha et al.   Transportation in Developing Economies

Spatiotemporal analysis of crash severity on rural highway: A case study in Anhui, China

(2021) Yikai Chen et al.   ACCIDENT ANALYSIS AND PREVENTION

Modeling the spatial variations in anthropogenic factors of soil heavy metal accumulation by geographically weighted logistic regression

(2020) Chutian Zhang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Elderly pedestrian safety in a rapidly aging society—Commonality and diversity between the younger-old and older-old

(2019) Yuna Noh et al.   Traffic Injury Prevention

Spatial-Temporal Analysis of Injury Severity with Geographically Weighted Panel Logistic Regression Model

(2019) Daiquan Xiao et al.   JOURNAL OF ADVANCED TRANSPORTATION

Neighborhood Influences on Vehicle-Pedestrian Crash Severity

(2017) Alireza Toran Pour et al.   JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE

Considering built environment and spatial correlation in modeling pedestrian injury severity

(2017) Carlo G. Prato et al.   Traffic Injury Prevention

Non-crossing rail-trespassing crashes in the past decade: A spatial approach to analyzing injury severity

(2016) Xin Wang et al.   SAFETY SCIENCE

Spatial Analysis of Severe Fever with Thrombocytopenia Syndrome Virus in China Using a Geographically Weighted Logistic Regression Model

(2016) Liang Wu et al.   International Journal of Environmental Research and Public Health

A clustering regression approach: A comprehensive injury severity analysis of pedestrian–vehicle crashes in New York, US and Montreal, Canada

(2012) Mohamed Gomaa Mohamed et al.   SAFETY SCIENCE

Inconsistencies of Ordered and Unordered Probability Models for Pedestrian Injury Severity

(2012) Valerian Kwigizile et al.   TRANSPORTATION RESEARCH RECORD

Estimating Potential Effect of Speed Limits, Built Environment, and Other Factors on Severity of Pedestrian and Cyclist Injuries in Crashes

(2011) Seyed Amir H. Zahabi et al.   TRANSPORTATION RESEARCH RECORD

Built Environment Influences on Healthy Transportation Choices: Bicycling versus Driving

(2010) Meghan Winters et al.   JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE

Severity of injury resulting from pedestrian–vehicle crashes: What can we learn from examining the built environment?

(2009) Kelly J. Clifton et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Comparison of bandwidth selection in application of geographically weighted regression: a case study

(2008) Luo Guo et al.   CANADIAN JOURNAL OF FOREST RESEARCH