Article
Green & Sustainable Science & Technology
Erika Martins Silva Ramos, Cecilia Jakobsson Bergstad
Summary: The study identifies control as the main predictor of intention to use carsharing, with driving habits having a stronger negative impact on users than non-users. Subjective norms positively predict intention to use carsharing across all groups, while trust is only a predictor for Italian groups. Climate morality has a small negative effect on Swedish groups specifically.
Article
Economics
Jeppe Rich, James Fox
Summary: Many transport models allocate all costs to the car driver without considering the cost sharing among passengers. This paper questions this premise and argues that cost sharing can occur in various forms, which should be properly accounted for in transport models. The empirical evidence from Denmark suggests that not accounting for cost sharing may result in biased cost elasticities and occupancy rates.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2024)
Article
Economics
Shichun Hu, Maged M. Dessouky, Nelson A. Uhan, Phebe Vayanos
Summary: This paper focuses on the cost-sharing problem for ride-sharing, specifically for scenarios where drivers are also commuters aiming for cost recovery. They identify the desirable properties of a cost-sharing mechanism and develop a general framework for creating specific mechanisms. Evaluating their approach using real traffic data, the study shows that each proposed mechanism has unique advantages and that discount methods can effectively reduce the number of no-passenger vehicles in a large ride-sharing system.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Operations Research & Management Science
Ruijie Li, Yu (Marco) Nie, Xiaobo Liu
Summary: This paper proposes a quantity-based demand management system that promotes ridesharing through auctioning permits and encouraging commuters to share. Results of a numerical experiment show that this system effectively promotes ridesharing, benefiting all stakeholders.
TRANSPORTATION SCIENCE
(2022)
Article
Economics
Ali Soltani, Andrew Allan, Fahimeh Khalaj, Dorina Pojani, Milad Mehdizadeh
Summary: The study in Adelaide found that factors such as population density, housing value, education level, income, age, and access to smartphones influence the choice of ridesharing. Higher education and income, younger age, and urban living are correlated with higher ridesharing use. On the other hand, concerns over safety, advanced age, digital illiteracy, and suburban living lead to non-interest in ridesharing.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Thermodynamics
Sharaf AlKheder
Summary: This study focuses on addressing traffic congestion issues in Kuwait roads by implementing ridesharing to optimize traffic flow, reduce vehicle emissions, and minimize travel costs. Results show that ridesharing can decrease trip distance and lower gas emissions.
Article
Economics
Marc Ivaldi, Emil Palikot
Summary: Using data from a popular city-to-city ridesharing platform, this study examines how individual drivers respond to increased health risks, specifically during the Covid-19 outbreak. The analysis shows that areas with higher health risks experience higher ridesharing prices and greater price variation. The findings suggest that decision-makers promoting ridesharing for intercity travel need to consider the impact of perceived health risks on prices and ensure accessibility.
Article
Management
Mingyang Chen, Yeming Gong
Summary: While traditional product-sharing models focus only on profits, this study explores a green-sharing mode that combines profitability with environmentally friendly services. The study analyzes pricing optimization problems in both the traditional and green modes, as well as the impact of green service implementation on stakeholders. It is found that providers consistently benefit more from the green mode. The study also reveals that the profitability of the green mode depends on various factors, such as consumer preferences and cost differentials, and a contract is proposed to ensure all stakeholders benefit under the green mode when consumers have green preferences.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Computer Science, Information Systems
Ahmed Jaber, Jamil Hamadneh, Balint Csonka
Summary: This research focuses on the preferences of micro-mobility users in urban areas, specifically shared electric bikes, shared conventional bikes, and shared electric scooters. A discrete choice modeling approach is used to study the preferences of people through developing a transport choice model. The results indicate that travelers prefer using bikes more than e-bikes and e-scooters, and e-scooter is the least favored by travelers. Factors such as parking type and socio-demographic variables are found to be significant in micro-mobility modes in urban areas.
Article
Management
Shivam Gupta, Shouqiang Wang, Milind Dawande, Ganesh Janakiraman
Summary: This study focuses on the mechanism design problem faced by a buyer when awarding a project to a set of contractors, emphasizing the importance of considering the possibility of manipulation. Cost-sharing mechanisms are proposed to address the asymmetric information and manipulation issues, balancing the trade-off between allocative efficiency and information rent.
OPERATIONS RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Daniel Fajardo-Delgado, Carlos Hernandez-Bernal, Maria Guadalupe Sanchez-Cervantes, Joel Antonio Trejo-Sanchez, Ismael Edrein Espinosa-Curiel, Jesus Ezequiel Molinar-Solis
Summary: This article introduces a new ridesharing system model, proposes a new algorithm to address the stable matching problem, and conducts experimental simulations to validate the algorithm, showing that it always produces a stable matching.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Matthias Kowald, Margarita Gutjar, Kai Roeth, Christian Schiller, Till Dannewald
Summary: This paper presents a study that aims to estimate the choice parameters of station-based bike-sharing systems (BSS) through a survey, in order to simulate the effects of modal shifts in transport demand models.
APPLIED SCIENCES-BASEL
(2022)
Article
Energy & Fuels
Jiqun Guo, Yang Li
Summary: The paper proposes an agent mechanism design to make full use of users' integrated energy resources and facilitate their participation in the integrated energy market. Through energy sharing, a lower cost alliance is achieved, and a fair benefit allocation mechanism is designed based on contribution rates and Nash bargaining theory. The distributed solution with good convergence performance is also proposed to protect users' privacy and benefit many users.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Engineering, Industrial
Chang Zhou, Xiang Li, Lujie Chen
Summary: Bike-sharing plays a key role in solving the first-and last-mile problem and promoting low-carbon travel in urban transport systems. This study investigates the strategic interaction and potential integration between a bike-sharing operator and a metro operator under different cooperation modes, namely the cost-sharing mode and the information-sharing mode. The results show that the information-sharing mode leads to a win-win situation in terms of profit for both operators, while the cost-sharing mode harms the profitability of the bike-sharing operator.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Green & Sustainable Science & Technology
Benrong Zheng, Kun Wen, Liang Jin, Xianpei Hong
Summary: This paper investigates two recycling cooperation modes, the recycling alliance mode and cost sharing mode, in a closed-loop supply chain. The optimal choice of recycling cooperation depends on the remanufacturing efficiency and the relative recycling cost efficiency of the manufacturer and retailer. The analysis shows that both recycling modes can lead to improvements for the manufacturer and retailer, with the retailer preferring the cost-sharing mode.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Transportation Science & Technology
Jing Gao, Sen Li, Hai Yang
Summary: This paper proposes an integrated business model that combines shared parking services with ride-sourcing platforms to reduce cruising traffic. Through economic equilibrium modeling and numerical studies, it demonstrates that the integration of parking and ride services can lead to higher profits, improved driver and passenger benefits, and reduced road congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Meng Xu, Yining Di, Zheng Zhu, Hai Yang, Xiqun Chen
Summary: This paper investigates a dockless ebike-sharing system with removable ebike batteries and introduces vans to solve recharging and rebalancing issues. The study shows that the proposed van-based services can increase the platform's profit and van drivers' earnings, and improve system performance.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Siyuan Feng, Peibo Duan, Jintao Ke, Hai Yang
Summary: This study models order dispatching in a multi modal transportation system and proposes a centralized algorithm to coordinate ride-sourcing and public transit services, optimizing the efficiency of the system.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Economics
Chenyi Fu, Shoufeng Ma, Ning Zhu, Qiao-Chu He, Hai Yang
Summary: Bike-sharing systems have experienced significant growth worldwide over the past two decades. This study presents a decision tool for new competitor firms entering the bike-sharing industry to maximize revenue. A multi-stage max-min-max robust maximization model is proposed to optimize bike inventory and worst-case revenue. Numerical experiments demonstrate the computational efficiency and tight bounds provided by the approximation approach. Sensitivity analyses suggest that the new competitor firm should carefully consider its bike investment in response to the local firm's bike quantity and increasing bike acquisition can improve revenue estimation robustness.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Economics
Yahan Lu, Lixing Yang, Hai Yang, Housheng Zhou, Ziyou Gao
Summary: This paper systematically investigates the joint optimization of passenger flow control strategy and train timetable on a congested metro line. A deterministic model is developed to balance operation efficiency and service fairness, and three integer linear programming models are formulated to derive robust passenger flow control strategies. Real-world case studies on the Beijing metro Batong line are conducted to verify the performance and effectiveness of the proposed approaches.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Operations Research & Management Science
Ren-Yong Guo, Hai Yang, Hai-Jun Huang
Summary: We study a departure time choice model for commuters in a bottleneck system with heterogeneity in travel time and schedule delays. A Walrasian toll charge scheme is used to control traffic flows. The scheme is anonymous and does not require information on travel time and schedule delays. The theoretical analysis proves that the toll charge scheme can achieve the system optimum flow pattern. The distributions of traffic flows and toll charges at the system optimum state are shown analytically, and the scheme's effectiveness is examined through numerical analyses.
TRANSPORTATION SCIENCE
(2023)
Article
Economics
Yang Xia, Wenjia Zeng, Canrong Zhang, Hai Yang
Summary: This paper addresses the vehicle routing problem with load-dependent drones (VRPLD). A facility called the docking hub is introduced to enhance the collaboration between trucks and drones. A mixed-integer model is proposed, and a branch-and-price-and-cut algorithm is developed to solve the problem efficiently. The computational results demonstrate the effectiveness of the proposed algorithm compared to existing methods.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Economics
Hongxing Ding, Hai Yang, Hongli Xu, Ting Li
Summary: Based on the status quo-dependent route choice model in Xu et al. (2017), this study integrates the model into traffic assignment modeling and establishes a Status quo-dependent User Equilibrium (SDUE) model. The SDUE model considers cognitive limitations, satisficing behavior, inertial behavior, and variation in value of time (VOTs) in route choice behavior. The study also demonstrates that equilibrium solutions from previous UE models can be included in the SDUE solution set by varying VOTs among users and scenarios.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Transportation Science & Technology
Zheng Zhu, Meng Xu, Jintao Ke, Hai Yang, Xiqun (Michael) Chen
Summary: In this paper, a Bayesian clustering ensemble Gaussian process (BCEGP) model is proposed for network-wide traffic flow clustering and prediction. The model combines hard clustering and Gaussian process learning methods to effectively tackle limitations of machine learning models in traffic flow prediction, such as interpretability, generalization, and reliance on image data processing. Experimental results show that the BCEGP model performs well in predictive accuracy, computational speed, and applicability.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation Science & Technology
Yun Wang, Yu Zhou, Hai Yang, Xuedong Yan
Summary: This paper systematically investigates the bus bridging service design problem in urban rail transit, aiming to minimize operator and passenger costs while effectively addressing service disruptions. A column generation-based approach is proposed to quickly generate high-quality emergency response plans for public transit operators. Our method has been tested and proven effective in real case studies.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Yue Bao, Hai Yang, Ziyou Gao, Hongli Xu
Summary: This study investigates the impact of pre-event activities on attendees' departure-time choices and traffic congestion near a venue. A bottleneck model is proposed to analyze the heterogeneous pre-event utility of attendees, considering the attractiveness of the venue. Different distributions of pre-event utility sensitivity are used to analyze the equilibrium at the bottleneck and determine the conditions to eliminate queues. The study also examines the impact of venue attractiveness on attendees' pre-event utility sensitivity and determines optimal pricing and facility levels to maximize venue profit and attendees' trip utilities.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Economics
Xiaoshu Ding, Qi Qi, Sisi Jian, Hai Yang
Summary: Mobility-as-a-Service (MaaS) is a new transport model that offers multiple travel modes through a single platform. The MaaS operator acts as a middleman, purchasing resources from different service providers and offering seamless transport services to meet travelers' needs. The challenge lies in matching travelers to providers, ensuring profitability for the providers and efficiency for the system.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Transportation Science & Technology
Kehua Chen, Jindong Han, Siyuan Feng, Meixin Zhu, Hai Yang
Summary: This article studies the issue of driver profiling in ride-hailing services and proposes a Hierarchical Graph Contrastive Learning (HGCL) framework that automatically learns low-dimensional embeddings from raw GPS data to encode driver behaviors. Experimental results demonstrate the efficacy of the proposed framework in driver profiling.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Hongxing Ding, Hai Yang, Xiaoran Qin, Hongli Xu
Summary: This study proposes a credit charge-cum-reward (CCR) scheme to promote green mobility and alleviate congestion and emissions by regulating travelers' periodic mode usage behavior. The scheme minimizes individual travel costs by taking into account travelers' heterogeneity in value of time. The government designs CCR schemes without and with revenue constraints, and investigates their Pareto-improvement and revenue-neutrality. The proposed CCR scheme flexibly facilitates multi-modal traffic demand management through charging and rewarding rates and differentiated charging and redemption prices.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Transportation Science & Technology
Bolong Zhou, Wei Liu, Hai Yang
Summary: This study examines the multi-depot location-routing problems of unmanned aerial vehicles (UAVs) for urban monitoring (MDLRP-UM). The proposed solution method combines an iterative algorithm with a tailored adaptive large neighborhood search (ALNS) based heuristic algorithm to solve the master and sub-problems, resulting in an efficient and effective approach for solving MDLRP-UM.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)