Article
Engineering, Multidisciplinary
Long Zhao, Changshuai Wang, Hongtai Yang, Xiangguo Wu, Tong Zhu, Jianjun Wang
Summary: This study explores factors that influence non-motor vehicle riders' injury severity in accidents with motor vehicles. Human characteristics, vehicles, road features, and environmental conditions were investigated. Data from police-reported crashes in Xi'an, China from 2007 to 2017 were used to develop generalized ordered logit models. The results indicate that factors such as rider's Hukou, type of non-motor vehicle, road-side protection, road structure, weather, accident time, light condition, and visibility level significantly influence the injury severity of non-motor vehicle riders.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Ergonomics
Mehrdad Nasri, Kayvan Aghabayk, Arsalan Esmaili, Nirajan Shiwakoti
Summary: This study investigates the influential factors determining the severity of pedestrian injuries in traffic crashes in Victoria, Australia. The results identify several key factors associated with severe and fatal pedestrian injuries. The findings are significant for improving pedestrian safety and reducing accident-related injuries.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Environmental Sciences
Sharaf AlKheder
Summary: This study aimed to better understand the factors behind severe and fatal injuries in pedestrian and vehicle accidents, with a focus on built environment parameters. Statistical models were applied on traffic accident data from Abu Dhabi, showing that pedestrians above 51 were at a higher risk and driver and pedestrian distraction was the main cause of accidents. Poor lighting conditions were found to be directly correlated with higher injury levels among pedestrians.
Article
Green & Sustainable Science & Technology
Kanghyun Kim, Jungyeol Hong
Summary: In this study, the Random Parameter Ordered Logit model was used to analyze the factors influencing the severity of intercity bus accidents and to examine the heterogeneity of accident characteristics. The results showed that driver's condition, vehicle size, crash type, road condition, and traffic volume were important factors affecting accident severity.
Article
Ergonomics
Angela Schubert, Stefan Babisch, John M. Scanlon, Eamon T. Campolettano, Robby Roessler, Thomas Unger, Timothy L. McMurry
Summary: This study used reconstruction data from the German GIDAS database to develop mechanistic injury risk models for pedestrians involved in collisions with vehicles. The results showed that pedestrians involved in collisions with heavy vehicles were more likely to suffer serious injuries compared to those involved in collisions with passenger vehicles.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Environmental Studies
Tae-Hyoung Tommyo Gim
Summary: This study examines the relationship between the severity of traffic crashes caused by older drivers and various factors in the case of South Korea. Based on different statistical models, it finds that the generalized ordered logit model provides more accurate results in terms of coefficient significance, direction, and magnitude compared to the conventional ordered logit model. Additionally, several variables have double-edged effects on the severity of the crashes.
INTERNATIONAL JOURNAL OF URBAN SCIENCES
(2022)
Article
Multidisciplinary Sciences
Asma Halim, Irshad Ahmad Arshad, Abdullah Mohammed Alomair, Mohammed Ahmed Alomair
Summary: In survey sampling, obtaining reliable responses to sensitive issues is challenging. In this study, a hidden logit estimation method using randomized response techniques is proposed to improve estimation accuracy. The Huang model is found to be the best model for this hidden logit method.
Article
Engineering, Manufacturing
Ali Tavakoli Kashani, Marzieh Rakhshani Moghadam, Amirhossein Taheri, Gerd Mueller, Dilum Abeyakone Dissanayake
Summary: This study examines the influence of vehicle type and weight on occupant protection in fixed-object crashes. The results are compared to rollovers and two-vehicle collisions to further investigate the performance of different vehicle types. Data from Iran's fixed-object, rollover, and two-vehicle crashes over the past six years were analyzed. The crashworthiness index, calculated using a Binomial Logistic Regression model based on driver's injury status, indicates that rollover crashes are significantly more dangerous than fixed-object or two-vehicle crashes. Trucks and SUVs demonstrate better performance compared to other vehicle types. The evaluation of vehicle weight suggests that increased weight does not consistently improve safety, with the least dangerous weight range being 1500 to 2000 kg. These findings provide a comprehensive understanding of vehicle safety and the severity of occupant injuries across all crash types.
INTERNATIONAL JOURNAL OF CRASHWORTHINESS
(2023)
Article
Ergonomics
Yanqi Lian, Enru Zhou, Jaeyoung Lee, Mohamed Abdel-Aty
Summary: This study aimed to explore the impact of the number of bicyclists and pedestrians on traffic injury severity and demonstrated the existence of a safety-in-numbers effect, indicating that a higher number of bicyclists and pedestrians on the road leads to less severe injuries.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Engineering, Industrial
Xenia Karekla, Chuanlin Fang
Summary: This study found that age, gender, task, and acceleration are significant factors affecting the development of upper body balancing mechanisms for bus passengers. Peak grip force and duration intensify as acceleration increases, especially during stair ascending, with middle-aged males showing higher instability compared to other passengers.
Article
Public, Environmental & Occupational Health
Yu-Wei Zhang, Man-Yu Liu, Xing-Hao Yu, Xiu-Yu He, Wei Song, Xiao Liu, Ya-Na Ma
Summary: This study investigated the impact of various characteristics on pregnancy outcomes of syphilis pregnant women and established a prediction model of adverse pregnancy outcomes in Suzhou. The incidence of adverse pregnancy outcomes can be reduced by controlling for these risk factors.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Transportation
Jin-Long Lu, Chih-Wen Yang
Summary: Code-share agreements are common in the airline industry and have advantages for both airlines and passengers. This study examines the factors that influence passengers' feelings towards code-share strategies and their subsequent behavioral intentions. The results suggest that code-share partners from developing countries, passengers' awareness of code-share schemes, and the perceived risk of service inconsistency among code-share airlines are key drivers of passengers' feelings towards code-share strategies. Additionally, trip purpose, travel type, and sociodemographic factors also influence passengers' feelings concerning code-shared flights. Managerial implications are discussed.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2022)
Article
Engineering, Industrial
Fangrong Chang, Md Mazharul Haque, Shamsunnahar Yasmin, Helai Huang
Summary: Fatal crashes involving electric bikes have increased significantly in China, posing a challenge to traffic safety. This study analyzed 2222 police-reported crash records from 2014 to 2016 in Hunan province to investigate factors affecting e-bike rider injury severity. The random parameters generalized ordered probit model showed superior performance in modeling injury severity, highlighting the importance of considering various factors such as road characteristics, environmental conditions, and crash types.
Article
Green & Sustainable Science & Technology
Luca D'Alonza, Maria Chiara Leva, Edgardo Bucciarelli
Summary: This study aims to analyze the impact of different attributes related to regional airport services and passengers' socio-economic factors on overall satisfaction. By comparing passenger and employee satisfaction, the study identified areas of improvement and used Ordinal Logistic Regression to model the impact of these attributes on passenger satisfaction. The findings indicate interesting differences in perceptions between passengers and airport employees, with quality and safety indicators enhancing the analysis and providing another perspective on potential improvements.
Article
Public, Environmental & Occupational Health
Andrew S. Fullerton, Kathryn Freeman Anderson
Summary: There is a lack of consensus on the approach to analyzing ordinal outcomes, resulting in different models and theoretical assumptions. This tutorial introduces various ordered models and emphasizes the systematic analysis of ordinal outcomes, prioritizing the flexibility of ordered models. It also addresses the challenges of including ordinal independent variables and provides simple ways to approach this issue.
PREVENTION SCIENCE
(2023)
Article
Engineering, Civil
Alessandro Vacca, Carlo Giacomo Prato, Italo Meloni
Article
Economics
Elnaz Irannezhad, Carlo Prato, Mark Hickman
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2019)
Article
Computer Science, Artificial Intelligence
Elnaz Irannezhad, Carlo G. Prato, Mark Hickman
DECISION SUPPORT SYSTEMS
(2020)
Article
Green & Sustainable Science & Technology
Anders F. Jensen, Thomas K. Rasmussen, Carlo G. Prato
Article
Economics
Mahboobeh Moghaddam, Robin H. Pearce, Hamid Mokhtar, Carlo G. Prato
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2020)
Article
Engineering, Civil
Md Mosabbir Pasha, Mark D. Hickman, Carlo G. Prato
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Economics
Otto Anker Nielsen, Morten Eltved, Marie Karen Anderson, Carlo Giacomo Prato
Summary: This study explores the impact of transfer attributes on public transport route choice and finds that consideration of transfer attributes does influence the attractiveness of public transport routes. The results reveal differences in passenger preferences for transfer attributes, suggesting a significant potential for improving public transport and increasing patronage.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Ergonomics
Yongjie Wang, Qian Su, Chao Wang, Carlo G. Prato
Summary: This study analyzed the yielding behavior of three types of vehicles at crosswalks using a Machine Vision Intelligent Algorithm, proposing additional indicators for evaluating yielding behavior. The results showed that buses performed best in yielding rate, yielding delay, waiting time, yielding angle, and waiting site, while private cars performed poorly in yielding to pedestrians. The study demonstrates the potential of using artificial intelligence methods to understand road user behavior and prevent crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Transportation
Peggy Schrobback, Elnaz Irannezhad, Carlo G. Prato
Summary: Road freight transport is dominant in Queensland due to restrictive coastal freight transport regulations. A study conducted a discrete choice experiment to determine preferences for road, rail, and sea transport among shippers and freight forwarders. The results showed that 30% of the choices were for coastal shipping. Model estimates indicated a willingness to pay 20 AUD/hour for saving one hour of transit time, higher direct elasticity for road transport with respect to cost, higher direct elasticity for sea transport with respect to time, and the impact of road user charges on shifting from road transport. Additionally, half of the participants ignored either time or cost in their mode choice decisions.
MARITIME POLICY & MANAGEMENT
(2023)
Review
Green & Sustainable Science & Technology
Ying Lu, Anthony Kimpton, Carlo G. Prato, Neil Sipe, Jonathan Corcoran
Summary: The first and last mile (FLM) problem refers to the lack of adequate connectivity between transit stations and trip origins/destinations, which leads to increased private car usage and reduced public transit patronage. Factors influencing FLM travel mode choice include socio-demographic characteristics, built environments, exogenous factors (such as crime and weather), and emerging transport and informal public transit. Future research should focus on enhancing the understanding of FLM travel mode choice, exploring new data sources and modeling approaches, and promoting sustainable travel for FLM.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Transportation
Ying Lu, Carlo G. Prato, Neil Sipe, Jonathan Corcoran
Summary: From a public transit perspective, the first and last mile problem arises due to inadequate connectivity between stations and trip origins and destinations. Previous studies have not explored intra-household interactions and variations in household preference. This study aims to capture heterogeneity in group decision-making by considering two decision rules: selecting the best outcome or avoiding regret.
TRAVEL BEHAVIOUR AND SOCIETY
(2023)
Article
Economics
Ying Lu, Carlo G. Prato, Jonathan Corcoran
Summary: This study investigates the impact of modality style and built environment on first and last mile (FLM) mode choice behavior, and identifies two distinct modality style groups: driving and walking oriented individuals, and multimodal travelers. Results suggest that individuals in the second modality style group are more likely to shift their preference from cars to sustainable modes, especially in areas with certain built environment features.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Ergonomics
Linchao Li, Carlo G. Prato, Yonggang Wang
ACCIDENT ANALYSIS AND PREVENTION
(2020)
Article
Ergonomics
Mohammad Mehdi Besharati, Ali Tavakoli Kashani, Zili Li, Simon Washington, Carlo G. Prato
ACCIDENT ANALYSIS AND PREVENTION
(2020)
Proceedings Paper
Transportation Science & Technology
Mehdi Taghavi, Elnaz Irannezhad, Carlo G. Prato
2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC)
(2019)