Article
Transportation
Alexandre Nicolas, Fadratul Hafinaz Hassan
Summary: This review discusses the importance of pedestrian group modeling in crowd simulation and provides a discussion of the main strategies for modeling such groups, offering guidance for prospective modelers.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Environmental Studies
Qian He, Dana Rowangould, Alex Karner, Matthew Palm, Seth LaRue
Summary: This study examines the changes in transit use, reasons for transit reductions, and the effects of reduced transit use and service on riders' daily lives during the Covid-19 pandemic. The study finds that the pandemic has exacerbated transportation burdens for those with limited mobility options, facing socioeconomic challenges, Hispanic or Latinx riders, and female, non-binary or genderqueer individuals.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Public, Environmental & Occupational Health
Nawaf Alnawmasi, Fred Mannering
Summary: Recent increases in maximum interstate speed limits in the US have not significantly affected crash frequencies, but have shown some changes in injury severities. The findings suggest that higher speed limits may contribute to increased injury severities in single-vehicle crashes.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2022)
Article
Transportation
Xiao Guangnian, Lu Qiongwen, Ni Anning, Chuyan Zhang
Summary: As a green travel mode, public bikes have positive implications in terms of reducing emissions. However, the carbon emissions generated and reduced by public bikes over their life cycle are not constant. It takes approximately 7 months for each public bike to reach carbon balance, but carbon emissions exceed emission reductions after around 29 months. Policy recommendations are made based on the carbon balance of 186 bike stations in Wenling City.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Chen Yuan, Ye Li, Helai Huang, Shiqi Wang, Zhenhao Sun, Yan Li
Summary: This study explores the relationship between conflicts and traffic flow features, and develops real-time predictive models. The results indicate that traffic flow characteristics have significant impacts on the probability of conflict occurrence, and resampling techniques can improve the model performance.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2022)
Article
Economics
Wei Wang, Wei Miao, Yongdong Liu, Yiting Deng, Yunfei Cao
Summary: The COVID-19 pandemic has had an impact on the behavior of ride-sharing drivers in China. While drivers reduced their shifts during the pandemic, they exhibited strong risk aversion and as a result, experienced lower daily earnings. The effects varied across drivers, with older, more experienced, more active drivers before the pandemic, and those with higher status within the company being more strongly affected.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Transportation
Junmei Cheng, Zhenhua Chen
Summary: This paper reviews the socioeconomic impact studies of the high-speed rail (HSR) system and analyzes how research design factors influence HSR project appraisals.
Article
Economics
Rezwana Rafiq, Michael G. McNally, Yusuf Sarwar Uddin, Tanjeeb Ahmed
Summary: This study explores the impacts of working from home on activity-travel behavior during the COVID-19 pandemic, finding that working from home led to a reduction in workplace and non-workplace visits, as well as a decrease in person miles traveled. The proportion of people working from home depended on the severity of the pandemic, public health policies, and socio-economic characteristics.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Review
Ergonomics
Kenny Santos, Joao P. Dias, Conceicao Amado
Summary: This paper presents a literature review on the methods used for road crash injury severity modeling. The results show that Random Forest performs the best, followed by Support Vector Machine, Decision Tree, and K-Nearest Neighbor. However, there is still room for exploring other techniques in this area.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Transportation
Yan Liu, Rushdi Alsaleh, Tarek Sayed
Summary: This study models the lateral interactions between motorized vehicles and non-motorized vehicles in mixed traffic in China. The results show that interaction probabilities are influenced by vehicle speeds, speed differences, and yaw rates, as well as the critical lateral distances. Bikes exhibit higher interaction probabilities compared to e-bikes.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Transportation
Yi Qi, Jinli Liu, Tao Tao, Qun Zhao
Summary: This study conducts a national-wide investigation on the impacts of COVID-19 on public transit ridership in the top twenty metropolitan areas in the U.S. A COVID-19 composite index is developed to qualitatively measure the level of public fear towards COVID-19 in different metropolitan areas. The findings indicate that areas with higher median household income, a higher percentage of the population with a Bachelor's degree or higher, higher employment rate, and a higher percentage of the Asian population are more likely to have more reductions in public transit ridership during the COVID-19 pandemic, while areas with a higher percentage of the population in poverty and a higher percentage of the Hispanic population are more likely to experience smaller reductions in public transit ridership.
INTERNATIONAL JOURNAL OF TRANSPORTATION SCIENCE AND TECHNOLOGY
(2023)
Article
Transportation
Dawn Russell, Kusumal Ruamsook, Violeta Roso
Summary: The contemporary supply chains in which container ports logistics operate are facing increased uncertainties due to factors like socioeconomic issues and changing supply chain strategies. The ongoing COVID-19 pandemic has further intensified these uncertainties. This study aims to develop a conceptual framework to comprehensively capture different dimensions of container port logistics capacity, revealing four dimensions with subelements that can be static or adjustable. The proposed framework provides insights into the logistics triad roles and interactions within the system to understand uncertainty characteristics and build flexibility into capacity elements.
MARITIME ECONOMICS & LOGISTICS
(2022)
Article
Ergonomics
Yuan Cao, Yuntong An, Shuai Su, Guo Xie, Yongkui Sun
Summary: This paper summarizes the main causes of accidents and the experience of accident prevention in China and Japan through the collection and comparison of transport data and typical casualty cases. It further puts forward suggestions for preventing accidents and large-scale casualty.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Transportation
Irfan Ullah, Kai Liu, Toshiyuki Yamamoto, Md Shafiullah, Arshad Jamal
Summary: This study predicts the charging time of electric vehicles using machine learning algorithms and optimizes the algorithm parameters to improve accuracy and robustness. The results show that machine learning models based on the gray wolf optimizer perform better in predicting charging time.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Economics
Bernardo Caldarola, Steve Sorrell
Summary: The research finds that teleworking does not reduce the frequency and distance of travel. In fact, most teleworkers travel more each week than non-teleworkers due to longer commutes and additional non-work travel. However, there is a "tipping point" where the weekly private travel of teleworkers is less than that of non-teleworkers when teleworking three or more times a week.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Transportation
Shubo Wu, Xinqiang Chen, Chaojian Shi, Junjie Fu, Ying Yan, Shengzheng Wang
Summary: The research highlights the importance of ship detention decisions in the PSC inspection process and proposes an SVM-based framework to predict the probability of ship detention events. This framework utilizes a feature selection scheme and support vector machine to achieve the prediction, with performance validation done on historical data.
MARITIME POLICY & MANAGEMENT
(2022)
Article
Transportation
Xiaofeng Li, Peipei Xu, Yao-Jan Wu
Summary: This study successfully estimated short-term pedestrian crossing volume at signalized intersections equipped with pushbutton devices using a Bayesian Additive Regression Trees (BART) model, showing high accuracy compared to ground-truth data. The proposed method outperformed traditional methods in hourly pedestrian crossing volume estimation, providing valuable information for signal retiming.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Economics
Marc Hasselwander, Joao F. F. Bigotte, Antonio P. P. Antunes, Ricardo G. G. Sigua
Summary: Mobility as a Service (MaaS) is gaining attention as a concept that can create more efficient and sustainable transport systems. This research focuses on a case study conducted in Metro Manila, Philippines, and finds that the majority of respondents are likely to use a MaaS app, primarily for reliability and cost savings. The study also suggests that MaaS could shift users towards more sustainable transport modes. Policy implications and future research paths are discussed.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Engineering, Civil
Kum Fai Yuen, Ling Qian Choo, Xue Li, Yiik Diew Wong, Fei Ma, Xueqin Wang
Summary: This study analyzes the determinants of user acceptance of fully autonomous public transport from multiple theoretical perspectives, finding that users' value perception of APT significantly influences their acceptance of it.
Article
Economics
Divyakant Tahlyan, Maher Said, Hani Mahmassani, Amanda Stathopoulos, Joan Walker, Susan Shaheen
Summary: The COVID-19 pandemic has forced employees and businesses worldwide to quickly transition to remote work, reaching the upper limit of telework in many sectors. Previous studies have identified the advantages and disadvantages of teleworking. This pandemic provides a unique opportunity to examine employees' experiences and perceptions of telework, given the duration and extent of their participation. While employer strategies will play a major role in shaping the future of telework, employee preferences and constraints, such as access to suitable technology or the home environment, will also be important factors.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
