Results 291 to 300 of about 2,119,986 (339)

Modeling pedestrian injury severity in pedestrian-vehicle crashes considering different land use patterns: Mixed logit approach

Traffic Injury Prevention, 2023
Objective The objective of this study is to identify and compare the contributing factors to pedestrian injury severity in pedestrian-vehicle crashes considering different land use patterns.
Tianjia Yang, W. Fan, Li Song
semanticscholar   +1 more source

Exploring the main and interaction effects of traffic flow characteristics, roadway design and weather conditions on the real-time crash risk for urban roads with mixed logit model

Journal of Transportation Safety & Security, 2023
The present study aims at investigating the main and interaction effects of contributing factors from multiple risk sources (i.e. traffic flow characteristics, roadway design and weather conditions) on the real-time crash risk for urban roads.
Xian Liu, Jian Lu, Boqing Wang, Maoying Zhu, Fang Zhang, Xiang Chen   +5 more
semanticscholar   +1 more source

Analysis of contributory factors of fatal pedestrian crashes by mixed logit model and association rules

International Journal of Injury Control and Safety Promotion, 2022
Pedestrians are the most vulnerable road users and pedestrian crashes are a major concern both for their number and their severity. In Italy, pedestrians account for 34% of the road fatalities in urban area.
Maria Rella Riccardi, F. Mauriello, Antonella Scarano, A. Montella   +3 more
semanticscholar   +1 more source

Injury severity analysis of two-vehicle crashes at unsignalized intersections using mixed logit models

International Journal of Injury Control and Safety Promotion, 2022
The severity of the two-vehicle crash is closely related to the characteristics of both the struck and striking vehicles. Ignoring vehicle roles may lead to biased results.
Renteng Yuan, Jing Gan, Zhipeng Peng, Q. Xiang   +3 more
semanticscholar   +1 more source

Mixed logit models for examining pedestrian injury severities at intersection and non-intersection locations

Journal of Transportation Safety & Security, 2021
Pedestrian injury has become a national traffic-safety concern as the share of pedestrian fatality continues to increase in the last decade. Pedestrian injury severities are influenced by many factors that include driver, pedestrian, vehicle, roadway ...
Bo Qiu, W. Fan
semanticscholar   +1 more source

Mixed logit approach to analyzing pedestrian injury severity in pedestrian-vehicle crashes in North Carolina: Considering time-of-day and day-of-week

Traffic Injury Prevention, 2021
Objective The objective of this research is to identify and compare contributing factors to pedestrian injury severities in pedestrian-vehicle crashes considering both time-of-day and day-of-week.
Li Song, Yang Li, W. Fan, Pengfei Liu
semanticscholar   +1 more source

A mixed logit model with mean-variance heterogeneity to investigate factors of crash occurrence

International Journal of Injury Control and Safety Promotion, 2021
This study thoroughly investigated factors affecting crash occurrence using detailed data of crash, traffic condition and freeway geometries. To fully account for heterogeneity induced by unobserved characteristics of crash factors, a mixed logit model ...
Xiaoyan Huo, Junqiang Leng, Lijun Luo, Dan Wang   +3 more
semanticscholar   +1 more source

A comparison between mixed logit model and latent class logit model for multi-profile best-worst scaling: evidence from mobile payment choice dataset

Applied Economics Letters, 2021
This paper uses a multi-profile best-worst scaling dataset to compare the mixed logit model and the latent class logit model for mobile payment choice. Three non-nested tests are applied to show the comparison results. The results indicate that the mixed
Qinxin Guo, Junyi Shen
semanticscholar   +1 more source

Optimizing B2B product offers with machine learning, mixed logit, and nonlinear programming

Journal of Marketing Analytics, 2021
In B2B markets, value-based pricing and selling has become an important alternative to discounting. This study outlines a modeling method that uses customer data (product offers made to each current or potential customer, features, discounts, and ...
John V. Colias, Stella Y. Park, Elizabeth Horn   +2 more
semanticscholar   +1 more source

Analyzing injury severity of rear-end crashes involving large trucks using a mixed logit model: A case study in North Carolina

Journal of Transportation Safety & Security, 2020
As one of the most frequently occurring crashes, rear-end crashes often result in injuries and property damage, especially when large trucks are involved.
Pengfei Liu, W. Fan
semanticscholar   +1 more source