Article
Economics
Ming Zhang, Xianyang Zeng, Zhijia Tan
Summary: This study investigates the choice of green fuel and green technology for ships and derives the sufficient and necessary conditions for adopting scrubber installation strategy. The study finds that introducing scrubber technology can reduce evasion behavior of ships but also increase total emissions in coastal areas.
Article
Economics
Jing Li, Qian Yu, Ding Ma
Summary: This study utilizes a multilevel network model to analyze the impact of high-speed rail on intercity technology transfer. It finds that high-speed rail facilitates intercity technology transfer and promotes innovation convergence. The centrality of cities has an effect on technology transfer, and the effect of high-speed rail is more significant in directly connected cities.
Article
Transportation
Le Zhang, Peng Duan, Hai Jiang
Summary: Advance seat selection fees are an important revenue source for airlines worldwide. This study examines passenger seat selection behavior and quantifies the spatial correlation structure among seats. The results show that the correlation among seats arises from similarities in both row and column dimensions, with a stronger correlation in the column dimension. Passengers exhibit non-linear price sensitivity and their willingness to pay is influenced by flight, booking, and personal characteristics. Participation in loyalty programs can also impact seat preferences.
JOURNAL OF AIR TRANSPORT MANAGEMENT
(2024)
Article
Economics
Ismail Kurt, Murat Aymelek
Summary: This study examines the interoperability requirements between autonomous cargo ships and ports for effective integration. Through a survey questionnaire, expert opinions on ship and port operations are analyzed to determine the interoperability characteristics for improving port operations. The findings of this research are of significant importance in shaping the future of smart and autonomous freight transport and logistics.
Article
Ergonomics
Jiahui Zhao, Pan Liu, Zhibin Li
Summary: This study proposes a machine learning model to explore the spatial impact of activity patterns on crash counts. The Latent Dirichlet Allocation (LDA) model is used to extract hidden activity patterns from vehicle trajectory data, and the Graph Convolutional Network (GCN) model builds the spatial relationship between multi-source data. Results show that daily vehicle kilometers traveled, road density, population density, commercial activity during weekends, and residential activity during morning peak hours on weekdays are factors associated with crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Economics
Hossein Karami, Mohammadhossein Abbasi, Mahdi Samadzad, Ali Karami
Summary: This study investigates the factors influencing UAM usage intention in Tehran, including attitude, subjective norms, trust, perceived usefulness, perceived enjoyment, personal innovativeness, ecological awareness, and price evaluation. The findings provide valuable insights for policymakers and industry stakeholders.
Article
Ergonomics
Rongjie Yu, Lei Han, Mohamed Abdel-Aty, Liqiang Wang, Zihang Zou
Summary: This study focuses on the robustness issue of crash risk evaluation models and proposes countermeasures to enhance it. By generating traffic flow adversarial examples to simulate real-world traffic fluctuations and using a coverage-oriented adversarial training method, the study improves model robustness in imbalanced situations.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Psychology, Applied
Shin-Hyung Cho, Ho-Chul Park, Sangho Choo, Shin Hyoung Park
Summary: This study explores the behavioral differences in crowding impedance and provides transport policies incorporating group segmentations. The results show that the group with a fear of disease comprises a high proportion of the elderly, while the time-sensitive group exhibits less crowding impedance on public transport. Therefore, customized transport policies should be introduced based on the requirements of each group of travelers to cope with the adverse effects of the pandemic.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2024)
Article
Economics
Peng-Cheng Xu, Qing-Chang Lu, Chi Xie, Taesu Cheong
Summary: This study investigates the resilience evaluation of interdependent networks. A model is developed to quantify the impacts of network interdependency on the resilience of interdependent transit networks, considering interdependency relations, network topology, flow characteristics, and demand distribution. The model is applied to the metro and bus networks of Xi'an, China. Results show that node degree heterogeneity in topology, bidirectional function dependency among networks, and flow matching between networks are important factors influencing network resilience.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Alex Berke, Walter Truitt, Kent Larson
Summary: This study evaluates how public bike-share networks in five U.S. cities have addressed equity issues throughout their years of service. The results show that higher-income and White populations have better access to bike-share service areas. However, as networks expand into lower-income and more racially diverse areas, some equity gaps have narrowed.
JOURNAL OF TRANSPORT GEOGRAPHY
(2024)
Article
Economics
Xingxing Fu, Dea van Lierop, Dick Ettema
Summary: This study investigates the relationship between multimodality and perceived transport adequacy and accessibility. The results show that multimodality is burdensome, especially for car-dependent individuals, and leads to lower perceived achievement or accessibility for those with limited access to a car.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Ergonomics
Tanveer Ahmed, Asif Mahmud, Vikash V. Gayah
Summary: This study uses the propensity score potential outcome framework to investigate the impact of rumble strips on crashes on horizontal curves. The findings suggest that centerline rumble strips reduce sideswipe and head-on crashes but increase run off the road and hit fixed object crashes. Shoulder rumble strips, either alone or in combination with centerline rumble strips, decrease crash frequencies for most types except sideswipe and head-on crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Yongjie Wang, Yuqi Jia, Wenqiang Chen, Tao Wang, Airen Zhang
Summary: This study explores the safe spaces maintained by pedestrians and e-bicyclists when crossing streets. Using drone footage, the researchers found that e-bicyclists maintain semi-elliptical safe spaces while pedestrians maintain semi-circular safe spaces, with the sizes of these spaces increasing in proportion to relative speeds. The findings bridge an empirical gap in the existing literature and have practical implications for urban planning, traffic management, and the safety of vulnerable road users.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Ergonomics
Anders Lie, Claes Tingvall, Jeffrey P. Michael, James C. Fell, Tho Bella Dinh-Zarr
Summary: Vision Zero aims to eliminate deaths and serious injuries from motor vehicle crashes using a systems approach. Policy and program interventions can motivate drivers to make safe decisions and technology can address risks caused by driver impairment. The safe system within the normal driving envelope can accommodate human errors but cannot compensate for deliberate rule-breaking. The key role of behavioral programs and policies is to motivate safe decisions. There is potential for improvement in implementing programs and policies.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Economics
Jinyu Jiang, Zhongzhen Yang
Summary: The axle load limit plays a crucial role in determining the costs associated with highway construction and truck transportation. This study examines the optimization of the axle load limit for rural roads, taking into account advancements in road construction technology, construction funding, and vehicle manufacturing techniques. A programming model is developed to maximize the cost gap between scenarios with and without incremental limits. The findings suggest that a limit of 13 tons maximizes the reduction in system costs, resulting in significant annual benefits.
Article
Ergonomics
Lulu Jia, Dezhen Yang, Yi Ren, Cheng Qian, Qiang Feng, Bo Sun, Zili Wang
Summary: This paper proposes a dynamic test scenario generation method for comprehensive evaluation of autonomous vehicles. By simulating the interaction process between the autonomous vehicle and environmental vehicles, the method can test the autonomous vehicle's ability to cope with dynamic scenarios and reveal its weaknesses.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Transportation
Xiao Han, Qiuxia Sun, Yingying Xing, Zi-You Gao, H. Michael Zhang
Summary: This paper experimentally investigates the impact of routing advice on strategic uncertainty and finds that user-optimal recommendation can reduce strategic uncertainty and stabilize traffic flow, while system-optimal recommendation has the opposite effect. Participants with faster decision-making are more likely to comply with the advice and have lower travel costs.
TRAVEL BEHAVIOUR AND SOCIETY
(2024)
Article
Economics
Tomas Rossetti, Ricardo A. Daziano
Summary: This study investigates the changes in crowding multipliers for subway, ridehailing, and microtransit in New York City during and after the COVID-19 pandemic. The results show that post-pandemic crowding multipliers are either similar or lower than during the pandemic, depending on the transportation mode and masking compliance. Vaccination requirements did not significantly impact respondents' choices, but respondents were willing to pay to reduce their transportation mode's carbon footprint. The study suggests that commuters' aversion to crowding will gradually decrease, but it remains uncertain whether crowding multipliers will return to pre-pandemic levels or establish a new normal.
Article
Economics
Hossain Mohiuddin, Dillon T. Fitch-Polse, Susan L. Handy
Summary: As bike-share systems spread in the US, understanding the different segments of bike-share users is crucial in expanding and benefiting more people. This study analyzes bike-share user data in Sacramento and identifies low-income individuals, zero-car households, students, and transit and car-share users as significant market segments. The results show that bike-share is widely adopted, particularly by those with limited means of transportation. Targeting low-income and zero-car owners can help increase bike-share demand and enhance social equity.
Article
Ergonomics
Paolo Intini, Nicola Berloco, Stefano Coropulis, Vittorio Ranieri
Summary: Planning road safety interventions on large road networks is a complex process that involves estimating safety performances, identifying sites for improvement, defining types of safety measures, and considering budget constraints. This study proposes an integrated multi-layer framework that addresses these issues and provides the number and type of safety interventions for a wide road network with different road elements. The methodology is applied to a case study, demonstrating its applicability and flexibility for planning purposes.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
