Transportation Research Part B-Methodological最新文献

{"title":"Parking reservation scheme in a commuting system with shared autonomous vehicles and parking space constraint","authors":"Zhe-Yi Tang ,&nbsp;Li-Jun Tian ,&nbsp;Peng Liu ,&nbsp;Hai-Jun Huang","doi":"10.1016/j.trb.2024.103116","DOIUrl":"10.1016/j.trb.2024.103116","url":null,"abstract":"<div><div>This study examines the effects of parking reservation schemes on travel choices and flow distribution in a commuting system comprising regular vehicles (RVs) and shared autonomous vehicles (SAVs), when faced with limited parking spaces. All possible departure patterns under three parking reservation schemes are explored, involving unreserved and reserved RV commuters, as well as SAV commuters. Associated factors, such as the number of parking slots, the number of unreserved slots, and the additional SAV cost, are analyzed. The impacts of these factors on various metrics, including modal split, SAV market share, traffic congestion, individual travel cost, and system performance, are investigated. Analytical analysis reveals that managing the numbers of parking slots and unreserved parking slots can reduce individual travel cost and alleviate traffic congestion. Additionally, the study suggests an optimal reservation scheme for the number of parking slots and the ratio of unreserved slots, along with the additional SAV cost, to minimize total travel cost and maximize system efficiency. These findings could shape future urban mobility parking policies, accommodating mixed traffic of regular and autonomous vehicles.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"192 ","pages":"Article 103116"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Who should not share? The merits of withholding unused vehicles","authors":"Roman Zakharenko","doi":"10.1016/j.trb.2025.103159","DOIUrl":"10.1016/j.trb.2025.103159","url":null,"abstract":"<div><div>People repeatedly demand travel, using available vehicles scattered around space. What can justify vehicle withholding (i.e. preventing others from using it, for own future use) from the social welfare perspective? This paper investigates heterogeneity in the potential cost of search for alternative vehicles as such justification. It is shown that travellers whose search cost is substantially higher than that of others (e.g. limited-mobility people) can optimally withhold a vehicle. The heterogeneity of search costs should be sufficiently strong, e.g. a uniform distribution is not variable enough to justify withholding by anyone. In an example calibrated for car use in London, it is shown that at most 39% of car users should withhold their vehicles under the most extreme modelling assumptions, while all others should share. An extension of the model rules out some other justifications for withholding, such as short duration of stay and aversion of risk of having to search for another vehicle.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"193 ","pages":"Article 103159"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling the residual queue and queue-dependent capacity in a static traffic assignment problem","authors":"Hao Fu ,&nbsp;William H.K. Lam ,&nbsp;Wei Ma ,&nbsp;Yuxin Shi ,&nbsp;Rui Jiang ,&nbsp;Huijun Sun ,&nbsp;Ziyou Gao","doi":"10.1016/j.trb.2025.103158","DOIUrl":"10.1016/j.trb.2025.103158","url":null,"abstract":"<div><div>The residual queue during a given study period (e.g., peak hour) is an important feature that should be considered when solving a traffic assignment problem under equilibrium for strategic traffic planning. Although studies have focused extensively on static or quasi-dynamic traffic assignment models considering the residual queue, they have failed to capture the situation wherein the equilibrium link flow passing through the link is less than the link physical capacity under congested conditions. To address this critical issue, we introduce a novel static traffic assignment model that explicitly incorporates the residual queue and queue-dependent link capacity. The proposed model ensures that equilibrium link flows remain within the physical capacity bounds, yielding estimations more aligned with data observed by traffic detectors, especially in oversaturated scenarios. A generalized link cost function considering queue-dependent capacity, with an additional queuing delay term is proposed. The queuing delay term represents the added travel cost under congestion, offering a framework wherein conventional static models, both with and without physical capacity constraints, become special cases of our model. Our study rigorously analyzes the mathematical properties of the new model, establishing the theoretical uniqueness of solutions for link flow and residual queue under certain conditions. We also introduce a gradient projection-based alternating minimization algorithm tailored for the proposed model. Numerical examples are conducted to demonstrate the superiority and merit of the proposed model and solution algorithm.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"192 ","pages":"Article 103158"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143072517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Timing and size decisions of green technology investment for competitive ocean carriers under green regulations","authors":"Jiaguo Liu ,&nbsp;Jie Wu ,&nbsp;Xiaowen Fu ,&nbsp;Peter M. Kort","doi":"10.1016/j.trb.2025.103160","DOIUrl":"10.1016/j.trb.2025.103160","url":null,"abstract":"<div><div>In response to increasingly stringent green regulations, ocean carriers are transitioning their emissions reduction strategy from reducing ship speeds to investing in green equipment. However, because carriers face uncertain demand and a competitive freight market, it is challenging for them to determine the timing and size of green equipment investments. Hence, we construct a real options game (ROG) model to investigate green investment timing and size decisions by two competing carriers within the framework of green regulations. We derive the optimal investment timing and size for the two carriers under various strategies and examine the effect of key factors on the optimal decisions. We show that leaders’ investment strategies depend on the initial freight market size and differences in carriers’ investment costs. Moreover, we observe that stringent green regulations significantly incentivize carriers to make green investments earlier but result in smaller investment sizes. Surprisingly, high-growth and high-volatility weaken early investment incentives but result in larger investment sizes. Interestingly, high speed does not always incentivize early investment due to its dual impact on cost performance, i.e., improving service levels but raising fuel costs. Intense quantity competition accelerates the leader's investment but delays the follower's, whereas intense service competition delays investments for both but leads to larger investment sizes. Our work provides an economic explanation for the varying adoption behaviors of carriers and offers managerial insights for competing carriers and policy insights for the government.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"193 ","pages":"Article 103160"},"PeriodicalIF":5.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143133524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hierarchical Nearest Neighbor Gaussian Process models for discrete choice: Mode choice in New York City","authors":"Daniel F. Villarraga,&nbsp;Ricardo A. Daziano","doi":"10.1016/j.trb.2024.103132","DOIUrl":"10.1016/j.trb.2024.103132","url":null,"abstract":"<div><div>Standard Discrete Choice Models (DCMs) assume that unobserved effects that influence decision-making are independently and identically distributed among individuals. When unobserved effects are spatially correlated, the independence assumption does not hold, leading to biased standard errors and potentially biased parameter estimates. This paper proposes an interpretable Hierarchical Nearest Neighbor Gaussian Process (HNNGP) model to account for spatially correlated unobservables in discrete choice analysis. Gaussian Processes (GPs) are often regarded as lacking interpretability due to their non-parametric nature. However, we demonstrate how to incorporate GPs directly into the latent utility specification to flexibly model spatially correlated unobserved effects without sacrificing structural economic interpretation. To empirically test our proposed HNNGP models, we analyze binary and multinomial mode choices for commuting to work in New York City. For the multinomial case, we formulate and estimate HNNGPs with and without independence from irrelevant alternatives (IIA). Building on the interpretability of our modeling strategy, we provide both point estimates and credible intervals for the value of travel time savings in NYC. Finally, we compare the results from all proposed specifications with those derived from a standard logit model and a probit model with spatially autocorrelated errors (SAE) to showcase how accounting for different sources of spatial correlation in discrete choice can significantly impact inference. We also show that the HNNGP models attain better out-of-sample prediction performance when compared to the logit and probit SAE models, especially in the multinomial case.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"191 ","pages":"Article 103132"},"PeriodicalIF":5.8,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142744510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic analysis of parking, vehicle charging and vehicle-to-grid services in the era of electric vehicles","authors":"Zhuoye Zhang ,&nbsp;Fangni Zhang ,&nbsp;Wei Liu","doi":"10.1016/j.trb.2024.103133","DOIUrl":"10.1016/j.trb.2024.103133","url":null,"abstract":"<div><div>With the advances in electrical technologies (especially the vehicle-to-grid or V2G technologies), electric vehicles (EVs) now can be used as power storage. The latent power storage capacity in EVs can provide additional flexibility to the power system, and thus helps enhance the overall efficiency, stability and reliability of the power grid. With the V2G facility in place, EV users can choose to share their vehicles to the power grid as temporary storage while the vehicle is being parked or charged (termed as ‘V2G parking or charging service’). This study investigates the pricing and capacity decisions of parking, charging and V2G operators, subject to the EV users’ choice equilibrium. An EV user who demands parking or charging can choose the (conventional) dedicated parking or charging slot (managed by the parking or charging operator) or the slot of V2G facility such that his/her vehicle can be used by the power grid as temporary storage while being parked or charged (managed by the V2G operator). We formulate and analyze the EV user choice equilibrium subject to parking, charging and V2G service provision, and then investigate parking, charging and V2G operators’ optimal service fare and capacity decisions in different market regimes, where the operators may compete or cooperate with each other (e.g., charging and V2G facilities might be operated jointly). The main findings are as follows. (i) Introducing the V2G-based parking/charging service might earn a positive profit for the V2G operator and also benefit customers who request for parking or charging, but the parking and charging operators will suffer a loss. (ii) The competition between operators tends to reduce the service fares, while cooperation tends to increase the fares and yield more profits for the operators. (iii) The optimal capacity of parking, charging, or V2G facilities should be set to balance the marginal capacity acquisition cost and the marginal facility searching time cost. (iv) When V2G operator cooperates with parking/charging operator, if the additional gains of parking/charging operator through cooperation are smaller than that of V2G operator, the optimal service fare of parking/charging should be smaller, and thus will benefit the parkers/chargers (after V2G service is introduced). (v) The collaboration between parking (or charging) and V2G operators might also benefit the charging (or parking) operator. Overall, this study enhances the understanding in relation to parking and charging operators’ reactions to emerging V2G-based parking and charging services, and provides insights regarding how the V2G service should be planned and optimized.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"191 ","pages":"Article 103133"},"PeriodicalIF":5.8,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A novel data fusion method to leverage passively-collected mobility data in generating spatially-heterogeneous synthetic population","authors":"Khoa D. Vo ,&nbsp;Eui-Jin Kim ,&nbsp;Prateek Bansal","doi":"10.1016/j.trb.2024.103128","DOIUrl":"10.1016/j.trb.2024.103128","url":null,"abstract":"<div><div>Conventional methods to synthesize population use household travel survey (HTS) data. They generate many infeasible attribute values due to sequentially generating sociodemographics and spatial attributes and encounter a low spatial heterogeneity issue due to a low sampling rate of the HTS data. Passively collected mobility (PCM) data (e.g., cellular traces) provides extensive spatial coverage but poses integration challenges with HTS data due to differences in spatial resolution and attributes. This study introduces a novel cluster-based data fusion method to address these limitations and simultaneously generate synthetic populations with accurate sociodemographics and home–work locations at high spatial heterogeneity. Spatial clustering is adopted to align the spatial resolution of HTS and PCM data, facilitating effective data integration. The data fusion process is reformulated into cluster-specific low-dimensional optimization subproblems to ensure computational tractability. Analytical properties are derived to retain essential distributional characteristics from both datasets in the fused distribution. The spatial clustering process is optimized to ensure such distributional consistencies while maintaining a balance between feasibility and heterogeneity of the synthetic population. The data fusion properties are validated using HTS and LTE/5G cellular signaling data from Seoul, South Korea. Validation against census data confirms the method’s efficacy in maintaining distributional consistency while increasing spatial heterogeneity, with 97% of the generated population being unobserved in the HTS data. This research advances methods to synthesize a population by leveraging the complementary strengths of HTS and PCM data, providing a robust framework for generating spatially diverse synthetic populations essential for urban planning.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"191 ","pages":"Article 103128"},"PeriodicalIF":5.8,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142700834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The drone scheduling problem in shore-to-ship delivery: A time discretization-based model with an exact solving approach","authors":"Ying Yang,&nbsp;Xiaodeng Hao,&nbsp;Shuaian Wang","doi":"10.1016/j.trb.2024.103117","DOIUrl":"10.1016/j.trb.2024.103117","url":null,"abstract":"<div><div>Amid growing interest in the integration of drones into maritime logistics, this paper addresses the drone scheduling problem in shore-to-ship delivery (DSP-SSD), which is both significant and challenging. We introduce a mixed-integer programming model with time discretization that incorporates drone-related constraints, moving targets, and the need for multiple drone trips. While commercial solvers can handle this model in small-scale scenarios, we propose a tailored branch-and-price-and-cut (BPC) algorithm for larger and more complex cases. This algorithm integrates a drone-specific backward labeling algorithm, cutting planes, and acceleration methods to boost its effectiveness. Experiments show that the BPC algorithm substantially outperforms the commercial solvers in terms of solution quality and computational efficiency and that the inclusion of acceleration strategies in the algorithm enhances its performance. We also provide detailed sensitivity analyses of critical parameters of the model, such as the time discretization parameter and the number of ships, to gain insights into how our approach could be applied in real-world DSP-SSD operations.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"191 ","pages":"Article 103117"},"PeriodicalIF":5.8,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142700832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling the impacts of en-route ride-pooling service in a mixed pooling and non-pooling market","authors":"Jun Wang ,&nbsp;Manzi Li ,&nbsp;Xiaolei Wang ,&nbsp;Hai Yang","doi":"10.1016/j.trb.2024.103106","DOIUrl":"10.1016/j.trb.2024.103106","url":null,"abstract":"<div><div>En-route ride-pooling services, e.g. Didi Pinche, UberPool, have been considered a promising way to alleviate traffic congestion during rush hours. Yet in reality, its market share is still small compared to non-pooling service. For a ride-hailing platform that provides both en-route pooling and non-pooling services, this paper endeavors to answer under what circumstance would it have incentive to encourage ride-pooling, and whether drivers, riders, the platform and the society can simultaneously benefit from the introduction of en-route ride-pooling service. We propose an aggregate model to characterize the equilibrium of a ride-hailing market where a platform operates a fleet of vehicles to provide en-route pooling and non-pooling services. The model captures the complex interactions among riders’ mode choices between pooling and non-pooling, the waiting times of pooling and non-pooling users, the pairing probability and the expected detour time of pooling users, the matching rates of cruising and halfly occupied vehicles with different types of riders, and the numbers of cruising, halfly occupied and fully occupied vehicles at each instant. Based on the model, we theoretically reveal the impacts of the total ride-hailing demand, vehicle fleet size, and the platform’s pricing and vehicle dispatching strategies on the market equilibrium performance through partial derivative-based sensitivity analysis, and establish conditions under which the introduction of en-route ride-pooling service improves platform profit, driver income, rider utility and social welfare.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"191 ","pages":"Article 103106"},"PeriodicalIF":5.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Amachine learning technique embedded reference-dependent choice model for explanatory power improvement: Shifting of reference point as a key factor in vehicle purchase decision-making","authors":"Kyungah Kim ,&nbsp;Jinseok Kim ,&nbsp;Subin Park ,&nbsp;Jongsu Lee ,&nbsp;Junghun Kim","doi":"10.1016/j.trb.2024.103130","DOIUrl":"10.1016/j.trb.2024.103130","url":null,"abstract":"<div><div>Machine learning is a powerful tool with the potential to improve a choice model's ability to explain consumer behavior. Although the reference-dependent choice model, developed with an emphasis on real decision-making processes, has an advantage over general discrete choice models in terms of explanatory power and interpretability, there is still a lack of consensus on how the reference point should be set. Currently, the common practice is to design a reference point-based utility equation to make an arbitrary decision between past experience, the status quo, and future expectations as the reference point. However, as individual consumers may differ from researchers in how they set their reference points, the current method is rather limited for understanding consumer choice behavior. Therefore, this study proposes a new approach to more accurately understand consumer choice behavior by shifting individual reference points using ANNs (Artificial Neural Networks). The analysis results show that the model proposed in this study has better explanatory power than both the discrete choice model and the existing reference-dependent choice model. This implies that the reference point typically set by researchers approximates each individual's actual reference point through artificial neural networks. This study is significant in that it confirms the possibility that the current status, which showed the highest model fit among several reference price proxy candidates in vehicle choice, may not function as the actual reference price, while also proposing a foundational framework for identifying each consumer's true reference price. Furthermore, it can contribute to corporate strategies and government policy recommendations based on consumer preference analysis, where high explanatory power is required.</div></div>","PeriodicalId":54418,"journal":{"name":"Transportation Research Part B-Methodological","volume":"191 ","pages":"Article 103130"},"PeriodicalIF":5.8,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142684361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}