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Effects of ambient temperature on drivers’ speed-selective behavior at different risk levels: A driving simulation study Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-09-16 Yanjie He, Hui Zhang, Naikan Ding, Shiyu Zhang, Ao Guo, Xiong Mei, Wang Xiang
Abnormal or inappropriate ambient conditions can lead to reduced driving performance or even crashes, and the ambient temperature could be the most critical and fundamental factor. However, the cou...
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Investigating the impact of fatigue level on visual attention of heavy-duty truck driver: An eye tracking study Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-08-05 Tianyang Cui, Shuyan Chen, Yongfeng Ma, Xiaobo Dong
Fatigue driving is considered one of the main risk factors leading to truck-involved crashes. A significant correlation between fatigue driving and visual behavior has been established in previous ...
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Exploring the effects of Connected and Autonomous Vehicles on traffic safety and operation at full-cloverleaf interchanges Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-07-22 Nischal Khadka, Hany Hassan
The effects of Connected and Autonomous Vehicles (CAVs) on interchanges such as full-cloverleaf interchanges have not yet been examined in prior studies. This study aims to explore the impacts of C...
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Analysis of driving left-turn errors of young and older drivers at urban intersections Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-07-18 Sirou Qu, Guangsheng Li, Huasen Wan, Fengxiang Guo, Zheng Chen, Jing Cai
Numerous traffic crashes occur at intersections in urban areas. Understanding the mechanism of driving errors at intersections and providing effective solutions will significantly reduce traffic in...
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An approach for evaluating traffic safety of expressway weaving segments: Investigating risk patterns of lane-changing conflicts Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-07-22 Pengying Ouyang, Yanyong Guo, Pan Liu, Tianyi Chen, Hao Yu
Weaving segments, integral to expressway systems, face safety challenges due to frequent lane changes. While previous research has leveraged pre– and post–lane-changing (LC) data for risk estimatio...
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Effects of high-speed rail illumination on traffic safety at night in a road-cum-railway section – Implications for the infrastructure design Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-07-15 Jiafeng Yang, Yi Lu, Huizhao Tu, Yibin Yang, Hao Li, Xuhui He, Xiuhua Li
Intense light from trains can cause glare, affecting the driving safety of vehicles running in the opposite direction at road-cum-railway sections. This study, in particular, examines glare impacts...
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Understanding the role of driver behaviors and performance in safety-critical events: Application of machine learning Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-07-15 Numan Ahmad, Asad J. Khattak, Hamparsum Bozdogan
Human factors contribute in some way to almost 93% of road crashes. Because the unavailability of good pre-crash data, the contribution of human factors to safety-critical events (SCEs) and the pre...
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Crash severity prediction and interpretation for road determinants based on a hybrid method Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-07-01 Chuangang Cheng, Shuyan Chen, Yongfeng Ma, Fengxiang Qiao, Zhuopeng Xie
In this study, 4 classification algorithms were employed to characterize the influence of road determinants on roadway crash severity with actual crash data. The crash data were obtained from crash...
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How do visual and cognitive non-driving related tasks affect drivers’ visual attention and takeover performance in conditionally automated driving? Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-06-17 Hengyan Pan, William Payre, Yonggang Wang, Zhixiang Gao
This study examines changes in visual attention during drivers’ engagement in visual or cognitive NDRTs during conditionally automated driving, and determines how these changes affect takeover perf...
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Real-time sideswipe conflict risk prediction on the expressway Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-05-31 Md. Tawkir Ahmed, Ling Wang, Wanjing Ma, Yingying Xing
Predicting conflict risk from a microscopic perspective is crucial for understanding traffic dynamics and preventing crashes. However, previous studies often missed this perspective and lacked meth...
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Data-driven Bayesian analysis of marine accidents in the English Channel Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-05-13 Xinjia Gao, Yutong Wu, Qifeng Yu, Wei Dai
The English Channel, renowned for its heavy traffic and challenging conditions, frequently witnesses marine accidents. To understand the causal mechanisms and identify risk factors, this study anal...
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Safety evaluation for regulation changes on commercial vehicle operation using multilevel Bayesian methods Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-05-03 Nuri Park, Sungjun Lee, Juneyoung Park, Ling Wang
Truck-involved crashes cause serious social and economic losses, and the crash severity is higher compared to ordinary vehicles. Driver fatigue is a major crash causation, especially have a larger ...
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Identifying spatio-temporal pattern of electric vehicles involved traffic accidents Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-04-16 Yan Zhuang, Chunjiao Dong, Penghui Li, Bo Xu
The increasing popularity of electric vehicles (EVs) has given rise to concerns regarding emerging safety challenges. To address this, an enhanced spatio-temporal kernel density estimation (STKDE) ...
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Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-04-16 Sheikh M. Usman, Asad J. Khattak, Subhadeep Chakraborty, Iman Mahdinia, Riley Tavassoli
Distracted driving adversely impacts drivers’ decision-making and leads to safety-critical events (SCEs). Early detection of driver distraction is critical to prevent traffic crashes by providing w...
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A dynamic driving-style analysis method based on drivers’ interaction with surrounding vehicles Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-04-09 Lulu Jia, Dezhen Yang, Yi Ren, Cheng Qian, Qiang Feng, Bo Sun
The ability to recognize different driving styles of surrounding vehicles is crucial to determine the safest and most efficient driving decisions, prevent accidents, and analyze the causes of traff...
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Vehicle trajectory prediction and collision warning for lane change conditions Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-04-01 Chi Zhang, Jichao Hong, Fengwei Liang, Xinyang Zhang, Kerui Li, Jingsong Yang, Zhongguo Huang
With the gradual increase in the number of vehicles on the road, the number of traffic accidents has also increased. Inappropriate lane changing is an important cause of traffic accidents. Based on...
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A causal inference analysis of injury severity in motorcyclist crashes in Brazilian highway databases Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-03-28 Francisco Altanizio Batista de Castro Junior, Flávio Cunto
Motorcyclist fatalities have risen in Latin and Asian countries, highlighting the necessity for a systematic approach through the Safe System (SS) to achieve zero fatalities. Traditional studies of...
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Exploring the influence of seafarers’ individual characteristics on the perceived risk in Maritime emergencies: A simulator study Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-03-27 Kun Shi, Jinxian Weng, Shiqi Fan, Eduardo Blanco-Davis, Zaili Yang
The perceived risk experienced during the operation of a ship varies among seafarers, likely due to individual differences and variations in task requirements. Hence, this study aims to investigate...
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Exploring the injury severity of vulnerable road users to truck crashes by ensemble learning Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-03-19 Fulu Wei, Peixiang Xu, Yongqing Guo, Zhenyu Wang
Large numbers of vulnerable road users were killed in truck crashes. In this study, ensemble machine learning models are constructed to predict the injury severity of the vulnerable road user (VRU)...
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Influential factors of pedestrian and bicycle crashes near Pedestrian Hybrid Beacons: Observing trends through an applied analysis Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-03-12 Xi Zhang, Alyssa Ryan, Yao-Jan Wu
Pedestrian Hybrid Beacons (PHBs) facilitate safe pedestrian crossings at marked crosswalks in unsignalized locations. However, few studies have recognized situations in which individuals may cross ...
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Understanding key factors in automated vehicle collisions: Automating data extraction and analyzing key insights using explainable AI Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-02-26 Saquib M. Haroon, Alyssa Ryan
With the growing development and deployment of automated vehicles (AVs), it is crucial to understand the associated risks and factors contributing to collisions involving AVs. California possesses ...
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Safety assessment of pedestrian-vehicle interaction at signalized intersections: An observational study Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-02-16 Valerio Gagliardi, Chiara Ferrante, Francesco Bella
Road safety is a crucial aspect of global policies and management. Surrogate Safety Measures (SSMs) have gained attention in the study of pedestrian safety. This study aims to establish an effectiv...
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Enhancing urban metro system resilience under disruptive events through multi-agent reinforcement learning Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-02-05 Erlong Tan, Xiaolei Ma, Yuchuan Du, Zhao Zhang
With urban rail transit (URT) systems playing an increasingly crucial role in megacity mobility, the rising frequency of service disruptions may pose substantial passenger delays and safety concern...
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Incorporating spatio-temporal correlation and interaction into a generalized ordered logit model for examining injury severities of traffic accidents Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-02-01 Qiang Zeng, Ziyi Xu, Yitao Liang, Jaeyoung Lee, Xiaofei Wang
Spatio-temporal correlation and interaction are significant features of traffic accident data. To account for the spatio-temporal correlation and interaction and the ordinal nature simultaneously, ...
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Identifying nonlinear effects of factors on hit-and-run crashes using interpretable machine learning techniques Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2024-01-06 Liang Xu, Yilong Ren, Haiyang Yu, Kun Wang
Previous research on hit-and-run crashes employed regression methods or machine learning techniques. However, regression methods necessitate preestablished model formulations, making it challenging...
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Injury severity of single-vehicle weather-related crashes on two-lane highways Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-12-13 Nabeel Saleem Saad Al-Bdairi, Salah L. Zubaidi, Hamsa Zubaidi, Ihsan Obaid
Roadway safety is immensely affected during adverse weather conditions. Therefore, this study seeks to quantify such effects on the injury severity of involved drivers in single-vehicle crashes on ...
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Freeway crash risk prediction considering unobserved heterogeneity: A random effect negative binomial regression approach Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-12-12 Zeyang Cheng, Xinpeng Yao, Yiman Bao, Yiming Li, Zhongxiang Feng, Zijian Wang
Unobserved heterogeneity of crashes remains a significant issue for freeways that influence crash prediction, and therefore deserves much attention. Using a fusion data set of crash data, driving b...
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Investigating the impact of influential factors on crash types for autonomous vehicles at intersections Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-12-06 Yubin Chen, Yajie Zou, Xiaoqiang Kong, Lingtao Wu
Autonomous Vehicles (AVs) are being promoted as an emerging technology with the potential to improve traffic efficiency and safety. However, the scarcity of publicly available AV crash data contrib...
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A comparison of patterns and contributing factors of ADAS and ADS involved crashes Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-11-22 Song Yan, Chunxi Huang, Dengbo He
Crashes involving Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS) have been increasing in recent years. Understanding the characteristics of these crashes can guide th...
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Modeling car and heavy commercial vehicle crashes on two-lane rural highways using the Poisson-Tweedie regression approach Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-11-23 Jaydip Goyani, Shriniwas Arkatkar, Gaurang Joshi, Said Easa
This article develops vehicle type–based crash-prediction models for cars and heavy commercial vehicles (HCVs) as a function of the curve geometry and vehicle-based design consistency criteria unde...
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Examining the crash risk factors associated with cycling by considering spatial and temporal disaggregation of exposure: Findings from four Dutch cities Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-11-06 Teun Uijtdewilligen, Mehmet Baran Ulak, Gert Jan Wijlhuizen, Frits Bijleveld, Karst T. Geurs, Atze Dijkstra
Cycling levels in cities keep increasing, which is accompanied with more cyclists being involved in serious road crashes. This paper aims to contribute to safer urban cycling by examining risk fact...
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Factors affecting pedestrian injury severity in pedestrian-vehicle crashes: Insights from a data mining and mixed logit model approach Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-11-03 Huijie Ouyang, Yin Han, Pengfei Liu, Jing Zhao
There has been a concerning rise in pedestrian fatalities resulting from traffic accidents. This study conducts an in-depth analysis of the factors that contribute to the injury severity of pedestr...
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Enhancing bicyclist survival time in fatal crashes: Investigating the impact of faster crash notification time through explainable machine learning Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-11-03 Iman Mahdinia, Nastaran Moradloo, Amin Mohammadnazar, Asad Khattak
Bicyclists are recognized as vulnerable road users, with the escalating fatalities posing a safety concern. While fatal crashes involving bicyclists are often assumed to be similar, there is a cruc...
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Traffic safety performance evaluation in a connected vehicle environment with queue warning and speed harmonization applications Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-11-03 Adekunle Adebisi, John E. Ash
With the increased adoption of connected vehicle (CV) technologies, safety information is becoming increasingly available to drivers. This study investigates three main questions (1) Do CV-based tr...
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Prediction of high-risk bus drivers characterized by aggressive driving behavior Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-10-11 Eunsol Cho, Yunjong Kim, Seolyoung Lee, Cheol Oh
Identification of driving behavior is a fundamental to developing effective treatments to address various traffic-related problems. In particular, the driving behavior of city bus drivers is of gre...
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COVID-19, tourism and road traffic accidents: Evidence from Greece Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-10-09 Andreas Psarras, Theodore Panagiotidis, Andreas Andronikidis
The COVID-19 pandemic has resulted in the implementation of traffic and movement restrictions as governments were trying to limit the spread of the virus. Tourism has been affected by these travel ...
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Modeling non-parametric effects of two-vehicle speed on crash risk at intersections: Leveraging two-dimensional additive logistic regression beyond univariable approach Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-09-26 Pengfei Cui, Xiaobao Yang, Lu Ma, Chaoxu Mu
Understanding the relationship between vehicle speed and the risk of sustaining a life-threatening injury has garnered continual attention. This study seeks to gain deep insight into the relationsh...
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Data-driven gale-induced risk assessment strategy for the high-speed railway system Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-09-26 Guanyuan Zhao, Xiaoping Ma, Xuying Qiu, Hanqing Zhang, Zhiping Zhang
Railway accidents caused by gales are indeed influenced by multiple factors, making them a complex process. However, current research and monitoring systems often focus solely on wind speed, overlo...
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Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-09-11 Chenzhu Wang, Muhammad Ijaz, Fei Chen, Said M. Easa, Yunlong Zhang, Jianchuan Cheng, Muhammad Zahid
This study explores the temporal instability and non-transferability of the determinants affecting injury severities of pedestrians struck by motorcycles and non-motorcycles. Using the pedestrian-v...
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Exploring contributing factors to improper driving actions in single-vehicle work zone crashes: A mixed logit analysis considering heterogeneity in means and variances, and temporal instability Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-09-05 Rakesh Rangaswamy, Nawaf Alnawmasi, Zhenyu Wang, Pei-Sung Lin
A work-zone introduces unexpected conditions for road users and may cause severe safety issues. This study aims to understand drivers’ pre-crash improper actions, which are the major contributing f...
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An exploratory analysis of two-vehicle crashes for distracted driving with a mixed approach: Machine learning algorithm with unobserved heterogeneity Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-08-24 Mouyid Islam, Deep Patel, Ahmed Sajid Hasan, Mohammad Jalayer
Two-vehicle crashes resulting from distracted driving led to a higher number of fatalities and serious injuries over time. This study utilized machine learning and econometric models to investigate...
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Analyzing the time-varying patterns of contributing factors in work zone-related crashes Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-08-16 Subasish Das, Anandi Dutta, Reuben Tamakloe, Md Nasim Khan
Work zones are crucial for maintaining and enhancing road infrastructure, but they also pose a significant risk to traffic safety. Between 2016 and 2020, work zone-related crashes in the United Sta...
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Truck drivers’ self-reported engagement in overloading: An application of the extended theory of planned behavior Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-08-10 Muladilijiang Baikejuli, Jing Shi
The aim of this study is to identify the psycho-social determinants of truck overloading from a behavioral perspective. Although there has been sizable efforts to investigate overloading from diffe...
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An exploration of the effects of various street lighting conditions on driver behaviors and safety at stop-controlled intersections: A driving simulator experiment Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-26 Hisham Abdu Kunnah, Hany M. Hassan
Lack of visibility is one of the challenges that impact drivers’ ability to perform driving tasks at night. Although prior studies indicated that lighting increases nighttime safety, lighting at st...
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Analysis of human errors in maritime accidents: A Bayesian spatial multinomial logistic model Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-24 Tianyi Sheng, Jinxian Weng, Kun Shi, Bing Han
Considering the unobserved spatial heterogeneity, this study aims to build a Bayesian spatial multinomial logistic (BSMNL) model by utilizing the geographic information from historical maritime acc...
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Driving style identification and its association with risky driving behaviors among truck drivers based on GPS, load condition, and in-vehicle monitoring data Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-17 Chenxiao Zhang, Yongfeng Ma, Aemal J. Khattak, Shuyan Chen, Guanyang Xing, Junjie Zhang
This study provides an approach to identify driving style of truck drivers by using GPS, load condition, and in-vehicle monitoring data and investigates the association of driving styles with risky...
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Severity analysis of red-light–running behavior at signalized intersections Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-17 Pouya Jalali Khalilabadi, Abolfazl Karimpour, Yao-Jan Wu
Red-light running (RLR) is one of the riskiest behaviors at signalized intersections. This study utilizes intersection- and corridor-level characteristics to identify variables that impact the freq...
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How to select distracted driving countermeasures evaluation metrics: A systematic review Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-17 Meiyu (Melrose) Pan, Alyssa Ryan
While there are numerous performance metrics that have been developed for the evaluation of distracted driving prevention programs, there is little information on how to select them depending on th...
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Corridor-level network screening and modeling of fatal and serious injury crashes on urban and suburban arterial corridors in Florida Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-13 John McCombs, Adrian Sandt, Haitham Al-Deek
Network screening is a key aspect of the safety management process. The current standard methods in the Highway Safety Manual assume that intersections and roadway segments are independent, even th...
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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 (IF 2.4) Pub Date : 2023-07-05 Xian Liu, Jian Lu, Boqing Wang, Maoying Zhu, Fang Zhang, Xiang Chen
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...
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Exploring the heterogeneities of factors affecting e-bicyclist severities in delivery e-scooter crashes Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-04 Ya Sun, Jianfeng Lu, Gang Ren, Jingfeng Ma
Delivery e-bicyclists are vulnerable traffic participants, and delivery e-scooter crashes annually cause great losses. There are limited empirical analyses performed to characterize the endogenous ...
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Effects of shipping cycles on traffic delays and accident costs at port collector-distributor roads Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-07-04 Xiafan Gan, Jinxian Weng
Considering the differences in traffic delays and accident costs at different stages of the shipping cycle, this study develops a system dynamics model to determine the impacts of the shipping cycl...
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Understanding distracted driving patterns of ride-hailing drivers from multi-source data: Applying association rule mining Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-06-21 Guanyang Xing, Shuyan Chen, Yongfeng Ma, Chenxiao Zhang, Zhuopeng Xie, Yi Zhu
This study aims to explore the association between distracted driving (including cognitive, visual, operational, and auditory distractions) and multi-source features of ride-hailing drivers, and to...
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Exploring the spatiotemporal heterogeneity of freeway secondary crashes using GTWR model Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-06-08 Huiwen Liu, Weihua Zhang, Shiguang Wang, Zeyang Cheng, Yangyang Gan
Understanding the effect of relevant variables on secondary crashes could provide reliable traffic intervention evidence for decision makers, which ultimately would contribute to the prevention of ...
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Influence of adaptive signal control technology (ASCT) on severity of intersection-related crashes Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-05-25 John H. Kodi, MD Sultan Ali, Angela E. Kitali, Priyanka Alluri, Thobias Sando
Adaptive signal control technology (ASCT) is an advanced traffic control system that optimizes signal timing based on real-time traffic demand. ASCT can potentially improve the operation and safety...
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Temporal instability assessment of motorcyclist-injury severities using categorical principal component analysis and random parameter approach with heterogeneity in means Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-05-22 Qiong Yu, Yue Zhou, Chuan Xu, Eskindir Ayele Atumo, Xinguo Jiang
Motorcyclists are considered as one of the most vulnerable road participants that often suffer higher injury severities. Furthermore, contributing factors of motorcyclist-injury severities may vary...
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Real-time driving risk assessment based on the psycho-physical field Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-05-09 Duo Zhang, Jian Sun, Junhua Wang, Rongjie Yu
Real-time Driving Risk Assessment (RDRA) is a critical component of traffic safety and is influenced by confounding impacts from drivers, surrounding vehicles, and roadway conditions. Previous stud...
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An aggressive driving state recognition model using EEG based on stacking ensemble learning Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-05-05 Liu Yang, Qianxi Zhao
An aggressive driving state impacts drivers’ decisions, which could potentially lead to accidents. Real-time recognition of driving state is particularly important for improving road safety. Howeve...
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A two-dimensional lateral interaction crash risk evaluation model considering imbalanced data Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-04-19 Rongjie Yu, Ning Xie, Hui Zhang
There are more than 539,000 crashes caused by vehicle-vehicle lateral interactions annually. To address this issue, proactively capturing lane-changing (LC) intentions and evaluating interaction cr...
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Multiscale spatial analysis of macro-level determinants of bicycle crash frequencies in the Phoenix metro region Journal of Transportation Safety & Security (IF 2.4) Pub Date : 2023-04-19 Steven R. Gehrke, Brendan J. Russo, Michael P. Huff, Edward J. Smaglik
The realization of the many benefits of bicycling will not be achieved in American regions until safer bike infrastructure and bicycling conditions are presented to a more general population. The P...