Article
Economics
Tsan-Ming Choi, Tana Siqin
Summary: This paper fills the gap in understanding the impact and future research of blockchain technology in production and logistics by discussing its evolution, examining related literature, and establishing an intra-inter-organizational framework. It highlights the importance of blockchain in production and logistics systems and uncovers critical factors for its implementation.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
Yang Liu, Fanyou Wu, Cheng Lyu, Shen Li, Jieping Ye, Xiaobo Qu
Summary: A deep reinforcement learning approach is proposed in this paper to solve the vehicle dispatching problem, by reallocating vacant vehicles to regions with high demand in advance, achieving first place in the vehicle dispatching task of KDD Cup 2020.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
David A. Hensher, Camila Balbontin, Matthew J. Beck, Edward Wei
Summary: The influence of working from home on commuting activity needs to be recognized and accounted for, especially during the COVID-19 pandemic. This study formalizes the relationship between working from home and commuting for two metropolitan areas in Australia and identifies the factors influencing these choices. The findings provide evidence for transport planners to adjust predicted modal shares and overall modal travel activity based on the presence of working from home.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Engineering, Civil
Daniel Horcher, Ramandeep Singh, Daniel J. Graham
Summary: Amid the pandemic, public transport operators face declining demand, leading to the need for effective demand management strategies such as advance booking and queueing control.
Article
Economics
Yifan Cao, Bin Shen
Summary: This study examines how the use of blockchain technology can deter the entry of less sustainable products in cross-border supply chains. The findings show that mandatory blockchain adoption can block entry and give the incumbent a monopoly position if the adoption cost exceeds a threshold. When the adoption cost is in an intermediate range, both the use of blockchain technology and price distortion by the incumbent are needed for deterrence. However, if the adoption cost is sufficiently low, the incumbent must compete with the entrant as blockchain technology becomes ineffective for deterrence. Additionally, the study finds that government intervention through tariffs or subsidies can enhance the value of adopting blockchain technology to prevent the entry of less sustainable products.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Transportation
Linchao Li, Yi Lin, Bowen Du, Fan Yang, Bin Ran
Summary: A hybrid model is proposed in this study to tackle the issues of small sample sizes and imbalanced datasets in traffic incident detection. The model utilizes a generative adversarial network (GAN) to expand the sample size and balance the datasets, as well as a temporal and spatially stacked autoencoder (TSSAE) to extract temporal and spatial correlations for incident detection. Evaluations using real-world data show that the proposed model, considering both temporal and spatial variables, outperforms benchmark models and improves real-time detection capacity.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Transportation
Di Huang, Yiran Wang, Shuai Jia, Zhiyuan Liu, Shuaian Wang
Summary: This paper proposes an optimization approach to deal with the electric bus charging scheduling problem, aiming to improve the system's operating efficiency by fully utilizing available charging resources.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Environmental Studies
Kai Liu, Hong Gao, Yang Wang, Tao Feng, Cheng Li
Summary: This article focuses on the impact of charging management on the reliability and safety of electric bus services and proposes an optimization model based on rational allocation of charging resources to address the uncertainty of energy consumption. Experimental results show that the robust charging strategies can effectively utilize charging resources and prevent issues caused by low electric quantity and delayed departure.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Economics
Sunil Luthra, Manu Sharma, Anil Kumar, Sudhanshu Joshi, Eva Collins, Sachin Mangla
Summary: Economies are transitioning to a circular model to address global issues, and cross-sector collaboration is an effective means to integrate sustainable practices into the value chain. However, the influence of cross-sector collaboration on circular supply chain management is still unexplored, and the barriers and strategies to overcome these barriers need further research.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
Long Cheng, Kailai Wang, Jonas De Vos, Jie Huang, Frank Witlox
Summary: This study examines the nonlinear effects of the built environment on the integration of free-floating bike-sharing (FFBS) with urban rail transport (URT). The results show that the effects of the built environment vary depending on the quantiles, with bicycle infrastructure having a more significant nonlinear effect. The findings inform the planning of seamless connections between bike-sharing and urban rail transport through dedicated and effective built environment interventions.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Economics
Muhammad Farooque, Abraham Zhang, Yanping Liu, Janet L. Hartley
Summary: This study investigates the impact of circular supply chain management (CSCM) on cost and financial performance in Chinese manufacturing firms. The results show that CSCM has a significant positive effect on cost and financial performance. Additionally, firms located within eco-industrial parks (EIPs) are more likely to adopt CSCM.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Civil
Gregory D. Erhardt, Richard Alexander Mucci, Drew Cooper, Bhargava Sana, Mei Chen, Joe Castiglione
Summary: This study uses detailed data on TNC trips and public transit ridership data to find that TNCs cause a 10% net decrease in bus ridership in San Francisco, highlighting the competitive nature of TNCs in relation to public transit.
Article
Ergonomics
Yuping Hu, Ye Li, Helai Huang, Jaeyoung Lee, Chen Yuan, Guoqing Zou
Summary: This paper proposes a method for real-time evaluation of road safety based on high-resolution trajectory data, which combines traffic states and conflicts to explore the internal relationship. Machine learning methods are applied for real-time evaluation. The results show that the proposed method can accurately estimate conflict risk, contributing to the improvement of real-time traffic safety and safety management.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Economics
Haiyan Lu, Pengjun Zhao, Haoyu Hu, Liangen Zeng, Kai Sheng Wu, Di Lv
Summary: This study provides new evidence of the relationship between transport infrastructure and urban-rural income disparities in China. The findings show that national, provincial, and municipal roads play a positive role in narrowing the income gap, especially in the southwestern and middle regions.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Transportation
Yanqiu Cheng, Xianbiao Hu, Kuanmin Chen, Xinlian Yu, Yulong Luo
Summary: This manuscript presents an Adam optimization-based Deep Reinforcement Learning model for Mixed Traffic Flow control (ADRL-MTF) that guides the longitudinal trajectory of Connected and Autonomous Vehicles (CAV) on signal-controlled urban roadways. The model avoids simplifying assumptions and is computationally efficient and suitable for real-time applications. The proposed model reduces fuel consumption by 7.8% and outperforms a prior benchmark model based on Monte Carlo Tree Search.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation
Ruth Shortall, Niek Mouter, Bert Van Wee
Summary: This paper proposes a classification of COVID-19 measures aimed at passenger mobility and discusses the lack of comprehensive assessments on socially relevant effects of these measures in existing literature. The focus is mainly on direct effects, such as turnover of transport sector, with less attention given to indirect effects and health indicators related to COVID-19.
Article
Economics
Mohamed R. Salama, Sharan Srinivas
Summary: This paper addresses the coordination problem of a truck and multiple heterogeneous unmanned aerial vehicles (UAVs or drones) for last-mile package deliveries. It introduces a new variant of truck-drone tandem that allows the truck to stop at non-customer locations for drone launch and recovery operations. The paper formulates a mixed integer linear programming model to optimize three key decisions and proposes an optimization-enabled two-phase search algorithm. Numerical analysis shows significant improvement in delivery efficiency by using flexible sites for drone operations.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Engineering, Civil
Muhammad Ahsanul Habib, Md Asif Hasan Anik
Summary: This study proposes a framework for analyzing public discourse on Twitter to understand the impacts of COVID-19 on transportation modes and mobility behavior. It also identifies reopening challenges and potential strategies discussed by the public. The study finds that people are avoiding public transport and shifting to private cars, bicycles, or walking. It suggests cycling, walking, telecommuting, and online schools as possible solutions, and highlights the importance of protecting transit workers and implementing mask wearing and social distancing as effective reopening strategies.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Ergonomics
Fang Wang, Junzhi Wu, Lin Hu, Chao Yu, Bingyu Wang, Xiaoqun Huang, Karol Miller, Adam Wittek
Summary: This study analyzed the head protection effectiveness of nine different helmets in two typical cycling accidents. The results showed that helmets can reduce the risk of head injury for cyclists, but they may increase rotational acceleration of the head. The predictions obtained using different injury criteria varied.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Economics
Beda Buchel, Alessio Daniele Marra, Francesco Corman
Summary: The COVID-19 pandemic has led to a significant reduction in mobility and a shift towards individual transport modes such as cycling. Some cities responded by opening more bike lanes, reducing bike-sharing fees, and implementing other measures to encourage cycling. Surveys of bike policy experts showed that there is an opportunity to increase bike usage by implementing new policy measures during the pandemic. If no action is taken, bike usage may not increase in the long term, highlighting the importance of seizing this opportunity to strengthen cycling as a sustainable urban transport mode.
