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Ring road investment, cordon tolling, and urban spatial structure Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-03-01 Zhi-Chun Li, Li Cheng, André de Palma
Ring roads, as candidate cordons, provide a convenient condition for implementing cordon tolling schemes. This paper presents a methodology for investigating the ring road investment and cordon tolling problems in a congested ring-radial city. A two-dimensional urban system equilibrium for a ring-radial city is first formulated, in which interrelated equilibria among stakeholders, including the authorities
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Autonomous vehicles policy and safety investment: An equilibrium analysis with endogenous demand Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-03-01 Herbert Dawid, Xuan Di, Peter M. Kort, Gerd Muehlheusser
The safety concerns for autonomous vehicles (AV) are shown to be a roadblock to their adoption. This paper addresses these concerns by studying a unified, game-theoretic framework (leader–follower game) of mixed traffic in which AVs and human-driven vehicles (HV) coexist, with endogenous vehicle demand and different types of accidents emerging in mixed traffic as crucial building blocks. We study the
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Two-stage recoverable robust optimization for an integrated location–allocation and evacuation planning problem Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-02-24 Yunqiang Yin, Xinrui Xu, Dujuan Wang, Yugang Yu, T.C.E. Cheng
We consider an integrated location–allocation and evacuation planning problem in a disaster context, where the effects of a disaster, including the uncertain capacities of relief facilities (rescue centers and distribution centers), uncertain demands for relief supplies and casualty treatment services, and uncertain availability of transportation links are characterized by a discrete scenario set.
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Autonomous Vehicles: Moral dilemmas and adoption incentives Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-02-19 Eberhard Feess, Gerd Muehlheusser
In unavoidable traffic accidents, autonomous vehicles (AVs) face the dilemma of protecting either the passenger(s) or third parties. Recent studies show that, in accidents involving an AV, most people prefer the AV to behave such that it minimizes expected harm. At the same time, however, they are more willing to adopt an AV if it prioritizes the passenger(s), i.e. themselves. A regulator therefore
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Average minimum distance to visit a subset of random points in a compact region Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-02-16 Chao Lei, Yanfeng Ouyang
This paper seeks an analytical estimate of the expected distance for visiting an arbitrary subset of independently and uniformly distributed random points within a compact region. This problem has many real-world application contexts such as the emerging on-demand transportation and logistics services (e.g., ridesharing, customized buses). The lower bounds of the expected optimal tour length are analytically
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A branch-and-cut algorithm for scheduling train platoons in urban rail networks Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-02-08 Simin Chai, Jiateng Yin, Andrea D’Ariano, Ronghui Liu, Lixing Yang, Tao Tang
With the emerging of virtual coupling technologies, the concept of train platoon, where different vehicles can be flexibly and dynamically grouped or decoupled, has become a hot research topic. In this study, we investigate the scheduling of train platoons for urban rail networks with time-dependent demand to mitigate passenger inconvenience. We propose a mixed-integer linear programming (MILP) model
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The dry dock scheduling problem Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-02-07 Shuai Jia, Chung-Lun Li, Qiang Meng
Dry docks are essential facilities for ship maintenance and thus are critical assets of a shipyard. In this paper, we study a dry dock scheduling problem that arises from shipyard operations and management. The problem involves decisions on assigning ships to a set of dry docks and sequencing the ships in each dry dock, subject to complicated but realistic operational constraints such as parallel ship
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Continuum dynamic traffic models with novel local route-choice strategies for urban cities Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-02-01 Chengyuan Wu, Liangze Yang, Jie Du, Xin Pei, S.C. Wong
In dynamic traffic assignment problems, travelers choose routes that minimize their cost of traveling to their destination. In traditional continuum models, travelers have a global perception of traffic; in this study, two novel reactive route-choice strategies are devised in which travelers have a local perception of traffic. In Strategy A, travelers identify a set of feasible temporary destinations
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Weighting strategies for pairwise composite marginal likelihood estimation in case of unbalanced panels and unaccounted autoregressive structure of the errors Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-01-30 Sebastian Büscher, Dietmar Bauer
Composite Marginal Likelihood (CML) estimation and its advancements are popular ways to reduce the computational burden involved in the estimation of Multinomial Probit (MNP) models. CMLs use the product of marginal likelihoods of decision makers instead of the complete joint likelihood, reducing the numerical load. This allows for the estimation of models for larger and more complex data sets. The
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A bathtub model of transit congestion Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-01-29 Lewis J. Lehe, Ayush Pandey
Studies of transit dwell times suggest that the delay caused by passengers boarding and alighting rises with the number of passengers on each vehicle. This paper incorporates such a “friction effect” into an isotropic model of a transit route with elastic demand. We derive a strongly unimodal “Network Alighting Function” giving the steady-state rate of passenger flows in terms of the accumulation of
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Highway toll allocation Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-01-30 Hao Wu, René van den Brink, Arantza Estévez-Fernández
An important operational aspect in the management of tolled highways is how the collected tolls should be allocated over the different highway segments, either operated by different operators or by different units of one operator. This paper analyzes this toll allocation problem both from an axiomatic and a game theoretic perspective. Based on different toll charging systems, specifically the distance-based
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Delay-throughput tradeoffs for signalized networks with finite queue capacity Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-01-18 Shaohua Cui, Yongjie Xue, Kun Gao, Kai Wang, Bin Yu, Xiaobo Qu
Network-level adaptive signal control is an effective way to reduce delay and increase network throughput. However, in the face of asymmetric exogenous demand, the increase of network performance via adaptive signal control alone is at the expense of service fairness (i.e., phase actuation fairness and network resource utilization fairness). In addition, for oversaturated networks, arbitrary adaptive
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Single-leg shipping revenue management for expedited services with ambiguous elasticity in transit-time-sensitive demand Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-01-17 Qinghe Sun, Wei Li, Qiang Meng
The growing demand for expedited shipping services from transit-time-sensitive (TTS) shippers poses a dilemma for ocean carriers, who must navigate the trade-off between transit time and the associated fuel costs. Charging a premium for expedited services offers a potential solution, but it requires careful consideration to avoid detrimental effects on demand. This study focuses on single-leg shipping
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Passenger-oriented rolling stock scheduling in the metro system with multiple depots: Network flow based approaches Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-01-19 Entai Wang, Lixing Yang, Jiateng Yin, Jinlei Zhang, Ziyou Gao
This study investigates a rolling stock scheduling problem on a metro line with multiple depots. Two novel optimization models, i.e., an arc-based and a path-based network-flow models, are formulated with the aim of improving the service level and reducing the operation cost simultaneously, in which the flexible train composition mode is also taken into consideration to well match the transport capacity
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A data-driven optimization approach to improving maritime transport efficiency Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2024-01-18 Ran Yan, Yan Liu, Shuaian Wang
Ship inspections conducted by port state control (PSC) can effectively reduce maritime risks and protect the marine environment. The effectiveness of PSC depends on accurately selecting ships with higher risk for inspection. Ship risk profile (SRP) is currently the most common method of quantifying ship risk, but the thresholds of the factors that determine a ship’s risk and classification in the SRP
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Dynamic container slot allocation for a liner shipping service Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-28 Tingsong Wang, Qiang Meng, Xuecheng Tian
In this paper, we study a dynamic container slot allocation problem (DCSAP) for a liner container shipping company that aims to make an acceptance or rejection decision to each dynamically arriving container slot booking request. To capture the dynamic arrival feature and real-time acceptance/rejection decision of the booking request, we formulate the DCSAP as a dynamic programming (DP) model with
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A flexible train composition strategy with extra-long trains for high-speed railway corridors with time-varying demand Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-26 Guangming Xu, Linhuan Zhong, Wei Liu, Jing Guo
To accommodate the uneven spatio-temporal distribution of passenger demand and improve the maximum transportation capacity for high-speed railway (HSR) corridors, this study proposes a demand-oriented flexible train composition strategy. The proposed strategy allows flexibility in selecting the number of train composition units (e.g., train carriages) for each train to accommodate the demand variations
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Integrated scheduling optimization of AGV and double yard cranes in automated container terminals Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-23 Xiaoju Zhang, Huijuan Li, Jiuh-Biing Sheu
Double yard cranes in one yard block refer to two yard cranes that run in different rails and can pass each other. They can both reach to the seaside and landside of the yard blocks. But interference between the double yard cranes occurs during picking up or putting down containers, which has to be solved when assigning tasks to the double yard cranes. AGVs assignment have also to be considered when
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Dynamic spatio-temporal interactive clustering strategy for free-floating bike-sharing Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-21 Zihao Tian, Jing Zhou, Lixin Tian, David Z.W. Wang
As an important part of green travel mode, operation service of bike-sharing system is increasingly intelligent and refined. Operators can effectively match supply to demand through reasonable delivery and rebalancing methods. One of the most important foundations of these strategies is zone management. Therefore, this paper establishes a new framework of management area division, which includes three
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Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis? Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-19 Qingyi Wang, Shenhao Wang, Yunhan Zheng, Hongzhou Lin, Xiaohu Zhang, Jinhua Zhao, Joan Walker
Classical demand modeling analyzes travel behavior using only low-dimensional numeric data (i.e. sociodemographics and travel attributes) but not high-dimensional urban imagery. However, travel behavior depends on the factors represented by both numeric data and urban imagery, thus necessitating a synergetic framework to combine them. This study creates a theoretical framework of deep hybrid models
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Local stability of traffic equilibria in an isotropic network Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-15 Ayush Pandey, Lewis J. Lehe, Vikash V. Gayah
For a static economic model of auto traffic in an isotropic zone, this paper classifies possible equilibria into three types, by whether traffic is hypercongested and by the relative slopes of “supply” and “demand” curves. We then conduct a local stability analysis of each type when density, demand and the unit travel time (inverse speed) evolve gradually and simultaneously according to dynamical systems
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Optimal investments of port authorities facing ambiguity on uncertain market demands Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-15 Hsiao-Chi Chen, Shi-Miin Liu
This study explores how two competing port authorities facing ambiguity about uncertain market demands determine their optimal investments. Using the Choquet expected utility function, the port authorities are categorized into four types: ambiguity-averse and risk-averse, ambiguity-neutral and risk-averse, ambiguity-averse and risk-neutral, and ambiguity-neutral and risk-neutral. Each type can reach
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Carsharing equitable relocation problem: A two-stage stochastic programming approach with learning-embedded endogenous uncertainty in demand Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-11 Si Zhang, Huijun Sun, Yang Liu, Ying Lv, Jianjun Wu, Xiaoyan Feng
Uncertain demand may exacerbate the imbalance of the supply–demand for a one-way carsharing system and complicate vehicle relocation decisions. To consider the effect of the uncertainty, this study proposes a two-stage stochastic nonlinear programming model, integrating long-term and short-term decisions and maximizing the profit of the carsharing companies. Specifically, in the first stage, tactical
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Modeling elasticity, similarity, stochasticity, and congestion in a network equilibrium framework using a paired combinatorial weibit choice model Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-09 Guoyuan Li, Anthony Chen, Seungkyu Ryu, Songyot Kitthamkesorn, Xiangdong Xu
In the traffic assignment problem for predicting traffic flow patterns in a transportation network, it is important to account for route overlap and non-identical perception variance in route choice analysis. In this study, we establish a novel route choice model, named the paired combinatorial weibit (PCW) model, to capture the route overlap and route-specific perception variance. The PCW model retains
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Apron layout planning–Optimal positioning of aircraft stands Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-06 Thomas Hagspihl, Rainer Kolisch, Pirmin Fontaine, Sebastian Schiffels
At many airports, space on the apron is scarce and has to be used efficiently. To that end, we optimize the layout of aircraft parking positions adjacent to the airport terminal, pursuing two lexicographically ordered objectives. First, we minimize the number of aircraft that have to be diverted to remote parking positions, because positions adjacent to the terminal are not available. Second, we minimize
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Alternate closed-form weibit-based model for assessing travel choice with an oddball alternative Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-01 Yu Gu, Anthony Chen, Songyot Kitthamkesorn, Sunghoon Jang
Herein, a weibit-based model is proposed as an alternative to Recker's logit choice model with an “oddball” alternative, which explicitly focuses on a single alternative that has unique attributes to other conventional alternatives in the choice set [Recker, W.W. (1995). Discrete choice with an oddball alternative. Transportation Research, 29B, 201–212]. While retaining the closed-form probability
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Statistical inference of travelers’ route choice preferences with system-level data Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-12-01 Pablo Guarda, Sean Qian
Traditional network models encapsulate travel behavior among all origin–destination pairs based on a simplified and generic travelers’ utility function. Typically, the utility function consists of travel time solely, and its coefficients are equated to estimates obtained from discrete choice models and stated preference data. While this modeling strategy is reasonable, the inherent sampling bias in
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Maximum capture problem based on paired combinatorial weibit model to determine park-and-ride facility locations Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-11-25 Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Park-and-ride (P&R) facilities are key components in encouraging people to use the transit system by allowing them to leave their private vehicles at certain locations. The well-known multinomial logit (MNL) model is often used to develop a random utility maximization–based mathematical programming formulation to determine P&R facility locations. According to the independently and identically distributed
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Credit charge-cum-reward scheme for green multi-modal mobility Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-11-11 Hongxing Ding, Hai Yang, Xiaoran Qin, Hongli Xu
To promote green mobility and alleviate congestion and emissions, this study proposes a credit charge-cum-reward (CCR) scheme where the government determines mode-specific credit charging and rewarding rates together with charging and redemption prices to achieve regulation objectives. Over a CCR scheme period, travelers choose either driving by consuming credits or taking transit to accumulate credits
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Ensuring the robustness of link flow observation systems in sensor failure events Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-11-08 Xinyao Yu, Shoufeng Ma, Ning Zhu, William H.K. Lam, Hao Fu
Network link flow data are an intuitive information for monitoring the traffic condition of the entire network, and can be used to enhance traffic management and control. Link flow observation systems are typically designed using flow conservation equations to obtain the information of flow on unobserved links by inference. The occurrence of sensor failures in such systems may lead to flow information
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Scalable reinforcement learning approaches for dynamic pricing in ride-hailing systems Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-11-08 Zengxiang Lei, Satish V. Ukkusuri
Dynamic pricing is a widely applied strategy by ride-hailing companies, such as Uber and Lyft, to match the trip demand with the availability of drivers. Deciding proper pricing policies is challenging and existing reinforcement learning (RL)-based solutions are restricted in solving small-scale problems. In this study, we contribute to RL-based approaches that can address the dynamic pricing problem
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The impact of autonomous ships in regional waterways Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-11-02 Wei Wang, Shuaian Wang, Lu Zhen, Gilbert Laporte
Technological innovation has been reshaping all walks of life, and the marine shipping industry is no exception. Autonomous vessels have gained significant attention due to their numerous advantages. However, regulatory constraints and expensive manufacturing costs are impeding the application of autonomous vessels. To overcome these challenges, this research conducts experiments with autonomous ships
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A stochastic dynamic network loading model for mixed traffic with autonomous and human-driven vehicles Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-26 Fang Zhang, Jian Lu, Xiaojian Hu, Qiang Meng
In this study, we develop a stochastic dynamic network loading (DNL) model for the mixed traffic with autonomous vehicles (AVs) and human-driven vehicles (HVs). The source of stochasticity is the uncertainty inherent in the arrival process of the two classes of vehicular flow. The developed model captures both within-link and between-link traffic flow dependencies and evaluates the network state distribution
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A data-driven discrete simulation-based optimization algorithm for car-sharing service design Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-21 Tianli Zhou, Evan Fields, Carolina Osorio
This paper formulates a discrete simulation-based optimization (SO) algorithm for a family of large-scale car-sharing service design problems. We focus on the profit-optimal assignment of vehicle fleet across a network of two-way (i.e., round-trip) car-sharing stations. The proposed approach is a metamodel SO approach. A novel metamodel based on a mixed-integer program (MIP) is formulated. The metamodel
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A machine learning based column-and-row generation approach for integrated air cargo recovery problem Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-24 Lei Huang, Fan Xiao, Jing Zhou, Zhenya Duan, Hua Zhang, Zhe Liang
Freighter airlines need to recover both aircraft and cargo schedules when disruptions happen. This process is usually divided into three sequential decisions to recover flights, aircraft, and cargoes. This study focuses on the integrated recovery problem that makes aircraft and cargo recovery decisions simultaneously. We formulate a string-based model to solve the integrated air cargo recovery problem
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Day-to-day traffic control for networks mixed with regular human-piloted and connected autonomous vehicles Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-19 Qingnan Liang, Xin-an Li, Zhibin Chen, Tianlu Pan, Renxin Zhong
The emerging connected autonomous vehicle (CAV) technology offers a significant opportunity to address the congestion problem caused by the selfish routing behavior of human drivers. If the transportation management center (TMC) can control the routing of all vehicles on the network, they could easily reverse this effect. However, during the transition period, CAVs will share roads with human-piloted
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Mathematical modeling of the platform assignment problem in a ride-sourcing market with a third-party integrator Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-19 Yue Bao, Guangzhi Zang, Hai Yang, Ziyou Gao, Jiancheng Long
In the rapidly evolving ride-sourcing market, emerging third-party integrators offer passengers the convenience of accessing services from multiple platforms simultaneously. This innovative business model allows a third-party integrator to send ride service requests from passengers to multiple ride-sourcing platforms, ultimately selecting the most desirable one from the ones that respond. In this study
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The economics of speed choice and control in the presence of driverless vehicle cruising and parking-as-a-substitute-for-cruising Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-16 Stefan Tscharaktschiew, Felix Reimann
The capability of self-driving cars to relocate occupant-free is suggested to become one of the most disruptive yet beneficial features in the era of fully autonomous vehicles (FAVs). One relocation option is cruising: Once arriving at the destination, a traveler may instruct her FAV to circle around to bridge the time span between drop-off and pick-up, implying no need to park at all. This seems promising
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Optimal network-wide adjustments of initial airport slot allocations with connectivity and fairness objectives Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-14 Merve Keskin, Konstantinos G. Zografos
Due to serious demand-supply imbalances, many airports around the world are highly congested. Access to these highly congested (Level 3, coordinated) airports is controlled through the use of the IATA World Airport Slot allocation Guidelines (WASG). At an individual airport, slots requested by each airline are allocated at the airport under consideration independently without taking into account the
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A branch-price-and-cut algorithm for the local container drayage problem with controllable vehicle interference Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-10-12 Naiyu Wang, Qiang Meng, Canrong Zhang
This paper investigates a local container drayage problem with controllable vehicle interference (LCDP&CVI) under the tractor-and-trailer separation mode in which a tractor can be coupled or decoupled with a trailer at a customer location or a terminal. The container drayage requests proposed by customers should be fulfilled by a set of vehicle fleets, and each vehicle fleet comprises of a certain
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Bibliometric analysis and systematic literature review of the traffic paradoxes (1968–2022) Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-22 Jia Yao, Ziyi Cheng, Anthony Chen
Braess proposed one of the classical traffic paradoxes in 1968, which states that adding a link in a transportation network may increase the travel cost for all travelers in the network. The paradox attracted substantial scholarly attention and research. However, there are many other paradoxical phenomena in the transportation field, which we call the traffic paradoxes. The purpose of this paper is
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RIde-hail vehicle routing (RIVER) as a congestion game Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-21 Kenan Zhang, Archak Mittal, Shadi Djavadian, Richard Twumasi-Boakye, Yu (Marco) Nie
The RIde-hail VEhicle Routing (RIVER) problem describes how drivers in a ride-hail market form a dynamic routing strategy according to the expected reward in each zone of the market. We model this decision-making problem as a Markov decision process (MDP), and view the drivers as playing an MDP routing game, with “congestion” induced by competitive matching in a zone. The meeting probability (i.e.
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An exact algorithm for the pickup and delivery problem with crowdsourced bids and transshipment Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-22 E. Su, Hu Qin, Jiliu Li, Kai Pan
This paper addresses a pickup and delivery problem with crowdsourced bids and transshipment (PDPCBT) in last-mile delivery, where all requests can be satisfied by either using the own vehicle fleet or outsourcing with a small compensation to crowdshippers through transshipment facilities. The crowdshippers show their willingness to deliver by submitting bids to the e-commerce company. To minimize both
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A dynamic multi-region MFD model for ride-sourcing with ridesplitting Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-21 Caio Vitor Beojone, Nikolas Geroliminis
Dynamic network-level models directly addressing ride-sourcing services can support the development of efficient strategies for both congestion alleviation and promotion of more sustainable mobility. Recent developments presented models focusing on ride-hailing (solo rides) and traditional ride-sharing, but no work addressed ridesplitting (a type of ride-sourcing service with shared rides) in dynamic
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Work schedule arrangements in two-adult households with children Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-20 Bilin Han, Jinhee Kim, Harry Timmermans
The concept “work schedule arrangement” refers to the decision how many hours per week to work and how to allocate these hours across the days of the week. In two-adult households with children, the work schedule arrangement of parents is more complicated owing to the presence of children, which induces a series of activities that parents need to organize and coordinate. Besides considering personal
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Dynamic battery swapping and rebalancing strategies for e-bike sharing systems Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-13 Yaoming Zhou, Zeyu Lin, Rui Guan, Jiuh-Biing Sheu
A new generation of the e-bike sharing system (EBSS) is emerging, where the e-bikes are dockless but need to be parked in designated zones defined by electric fences. The operation of the EBSS relies on the efficient swapping of batteries, in addition to e-bike rebalancing. The replaced power-deficient batteries can be charged in a central depot or street-side cabinets. This paper proposes an approach
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Airline operational disruptions and loss-reduction investment Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-14 Kangoh Lee
Airlines have experienced disruptions from random shocks such as extreme weather conditions and airport congestion. Airlines thus have invested in improving their flight and scheduling system to minimize the losses from shocks. This paper analyzes the effects of the airline network structure on the incentives of airlines to invest in their operations system. The analysis shows that under reasonable
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With spatial queueing, the P0 responsive traffic signal control policy may fail to maximise network capacity even if queue storage capacities are very large Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-09 Michael J Smith, Francesco Viti, Wei Huang, Richard Mounce
The local responsive traffic signal control policy P0 was designed to maximise network capacity under certain conditions and it has been shown, in Smith (1979a, b, 1980) and Smith et al. (2019a, 2022), that the P0 policy and related policies do indeed maximise the capacity of many steady state networks or quasi-dynamic networks with vertical and spatial queues under various conditions. This current
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Accessibility-based ethics-aware transit design Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-09-06 Tianxing Dai, Jiayang Li, Yu (Marco) Nie
This study proposes a new strategic transit design methodology that places accessibility and equity at the center of the trade-offs. By guiding transit design with ethical theories, it promises to improve vertical equity. We consider four ethical principles: the utilitarian principle, the sufficient principle, the maximax principle, and the difference principle. As the last three are all related to
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Integrated optimization of rolling stock allocation and train timetables for urban rail transit networks: A benders decomposition approach Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-08-24 Jiateng Yin, Fan Pu, Lixing Yang, Andrea D’Ariano, Zhouhong Wang
We investigate the integrated optimization of rolling stock allocation and train timetables (RATT) in an urban rail transit network with multiple connected lines and rolling stock depots. Different from most existing research on single-line cases, we consider that the rail manager plans to allocate a certain fleet of rolling stock to depots to implement the operational timetables of multiple lines
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Humanitarian transportation network design via two-stage distributionally robust optimization Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-08-23 Guowei Zhang, Ning Jia, Ning Zhu, Long He, Yossiri Adulyasak
Natural disasters are highly unpredictable, with varying degrees of magnitude, and thus require a reliable and robust humanitarian relief network. Faced with the adverse effects of disasters, we advocate taking pre-disaster preventive actions, e.g., road link strengthening, to mitigate post-disaster disruptions to road networks. In this paper, we study a highly integrated humanitarian relief network
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Fare evasion in public transport: How does it affect the optimal design and pricing? Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-08-21 Raúl Ramos, Hugo E. Silva
Fare evasion produces significant revenue losses in public transport systems. Recent research has found that low service quality and high prices are important determinants of fare evasion. However, the economic literature that studies the optimal public transport provision has overlooked the phenomenon. We develop a demand model of horizontal differentiation to investigate how fare evasion affects
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Strong cutting planes for the capacitated multi-pickup and delivery problem with time windows Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-08-13 Amit Kohar, Suresh Kumar Jakhar, Yogesh K. Agarwal
In this paper, we propose an improved 2-index mixed integer linear programming formulation for capacitated multi-pickup and delivery problems with time windows. We develop new families of valid inequalities, present some simple separation heuristics and solve the benchmark problems using a cutting plane approach. Specifically, we propose and demonstrate the effectiveness of incompatible request sets
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A hybrid modelling framework for the estimation of dynamic origin–destination flows Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-08-11 Sakitha Kumarage, Mehmet Yildirimoglu, Zuduo Zheng
The dynamic origin–destination flow estimation (DODE) problem requires scalable methods for large scale traffic networks and consistent techniques for capturing both uncongested and congested traffic conditions. Despite numerous efforts on incorporating multifold data sources and developing manifold mathematical models, the DODE problem remains a challenging problem in terms of both scalability and
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Crowd-shipping as a Service: Game-based operating strategy design and analysis Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-08-12 Haohan Xiao, Min Xu, Shuaian Wang
Crowd-shipping as a Service (CSaaS), a novel concept proposed in this study for the Online-to-Offline (O2O) market, integrates different kinds of shipping services provided by individuals and public transport (PT) operators and enables booking and payment through a single CSaaS platform. It largely increases the shipping capacities and provides a flexible shipping mode for consignees with parcel delivery
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Service-oriented container slot allocation policy under stochastic demand Transp. Res. Part B Methodol. (IF 6.8) Pub Date : 2023-08-09 Jinpeng Liang, Liming Li, Jianfeng Zheng, Zhijia Tan
The liner shipping industry plays a pivotal role in global cargo transportation, catering to both contract and spot shippers. Proper capacity allocation between these shippers is vital for maintaining service quality and improving revenue. This research investigates the service-oriented container slot allocation problem under stochastic demand, aiming to maximize total freight revenue while providing