Transportation Letters-The International Journal of Transportation Research最新文献_第7页

A tripartite evolutionary game study on the governance of online catering riders’ traffic violations from the perspective of collaborative regulation 协同规制视角下网络餐饮骑手交通违法治理的三方进化博弈研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2378612

Liang Xiao , Hongyong Li , Fumao Yu , Yuqi Wang

{"title":"A tripartite evolutionary game study on the governance of online catering riders’ traffic violations from the perspective of collaborative regulation","authors":"Liang Xiao , Hongyong Li , Fumao Yu , Yuqi Wang","doi":"10.1080/19427867.2024.2378612","DOIUrl":"10.1080/19427867.2024.2378612","url":null,"abstract":"<div><div>In the online catering industry, delivery riders’ traffic violations significantly threaten public transportation safety, inadequately addressed by current regulations from the government and online platforms. This paper proposes a government-led collaborative regulatory mechanism with active platform participation. A tripartite evolutionary game model, including the government, platforms, and riders, evaluates this approach. Findings suggest that collaborative regulation forms when the combined start-up and subsidy costs of government-led regulation are less than the total benefits of collaboration and when the cost difference between active and passive platform participation is less than the total benefit of active participation. Effective regulation occurs when combined penalties for riders’ violations exceed the profit difference between illegal and compliant deliveries. Reducing government regulation start-up costs and increasing penalties and enforcement probabilities can promote compliance among riders. Excessive subsidies to platforms do not effectively control violations, indicating the need for balanced subsidy allocation for optimal regulatory effectiveness.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 732-746"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated optimization of train line planning and timetabling: a new method of changing train operation zone and direct-service of cross-line ODs 列车线路规划和时刻表编制的综合优化：改变列车运行区和跨线 OD 直接服务的新方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2374171

Ruxin Wang , Lei Nie , Yuyan Tan

{"title":"Integrated optimization of train line planning and timetabling: a new method of changing train operation zone and direct-service of cross-line ODs","authors":"Ruxin Wang , Lei Nie , Yuyan Tan","doi":"10.1080/19427867.2024.2374171","DOIUrl":"10.1080/19427867.2024.2374171","url":null,"abstract":"<div><div>Cross-line operation increases accessibility to the railway network. However, its long-distance operation is quite difficult due to the transport resource limitations. To provide good transportation plans for operators and more direct services for cross-line passengers, we propose a new method of changing operation zones of cross-line trains, which can be summarized as the integrated train line planning and timetabling problem. A model is established to minimize deviation of same-line trains from ideal timetables and maximize cross-line origin-destination direct services. A Lagrangian relaxation approach and an improved priority-rule heuristic algorithm are developed to solve large-scale problems and obtain feasible solutions. Reality-based instances are conducted on the Beijing-Shanghai high-speed railway and its connecting lines to verify the performance of the model and solution approach. The results show the benefit of changing train operation zones, and the model and approach can help to generate a good balance between operating profit and passenger demand.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 666-686"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the impact of time pressure on motorized two-wheeler riders’ over-speeding behavior 探究时间压力对电动两轮车骑行者超速行为的影响

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-04-21 DOI: 10.1080/19427867.2024.2368348

Ishant Sharma , Monik Gupta , Sabyasachee Mishra , Nagendra R. Velaga

{"title":"Exploring the impact of time pressure on motorized two-wheeler riders’ over-speeding behavior","authors":"Ishant Sharma , Monik Gupta , Sabyasachee Mishra , Nagendra R. Velaga","doi":"10.1080/19427867.2024.2368348","DOIUrl":"10.1080/19427867.2024.2368348","url":null,"abstract":"<div><div>Despite being inexpensive and the most accessible travel mode, motorized two-wheelers (MTW) are more prone to crashes than other travel modes. Over-speeding is one of the principal causes of such MTW-related crashes. Past studies are nonexistent in exploring the impact of time pressure and psychological constructs on MTW riders’ over-speeding behavior. Therefore, this paper captures the impact of the time pressure situations and identifies psychological segments (based on travel time-related anxiety) on the over-speeding behavior among MTW riders. A two-step modeling approach, including latent class analysis and multinomial logit model (MNL), was utilized for a stated preference survey of 513 Indian MTW riders. The latent class analysis identified three different psychological segments, i.e. minimally anxious, moderately anxious, and highly anxious. Results showed that over-speeding behavior is more likely to increase with travel time-related anxiety levels and hurriedness. The findings are expected to offer potential policy implications for mitigating speeding-related violations.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 4","pages":"Pages 595-611"},"PeriodicalIF":3.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Private parking space owners’ choice behavior of different sharing modes: hybrid choice model using justified latent variables 私人车位车主对不同共享模式的选择行为：使用合理潜变量的混合选择模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-03-16 DOI: 10.1080/19427867.2024.2366399

Zengrui Wang , Xia Luo , Yiyuan Zhang , Qixin Mai

{"title":"Private parking space owners’ choice behavior of different sharing modes: hybrid choice model using justified latent variables","authors":"Zengrui Wang , Xia Luo , Yiyuan Zhang , Qixin Mai","doi":"10.1080/19427867.2024.2366399","DOIUrl":"10.1080/19427867.2024.2366399","url":null,"abstract":"<div><div>Private parking spaces account for a large proportion of potential parking resources, whose utilization rate could be raised by sharing them. To investigate private parking space owners’ sharing choice behavior, this paper applies a framework of Combined Technology Acceptance Model and the Theory of Planned Behavior for a more comprehensive consideration of psychological attitudes on these suppliers in urban residential areas. A web-based survey was conducted to collect data. The justified factors are then incorporated in hybrid choice model (HCM) as latent variables. HCM results showed that incorporation of latent variables such as perceived risk provides better fitting effect than traditional multinominal models, and that revenues and community participance are influential factors for sharing choice. Our findings indicate behavioral intention framework could serve as argumentation of rational selection of latent variables. These findings could also support better implementation of shared parking from managerial and operational perspectives.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 552-565"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141505415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling travel mode choice behavior for planned special events using CPT-based HI-MADM approach 使用基于 CPT 的 HI-MADM 方法模拟计划中的特别活动的出行方式选择行为

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-03-16 DOI: 10.1080/19427867.2024.2354015

Hongjun Cui , Wanru Sun , Minqing Zhu , Xinwei Ma , Jinping Xie

{"title":"Modeling travel mode choice behavior for planned special events using CPT-based HI-MADM approach","authors":"Hongjun Cui , Wanru Sun , Minqing Zhu , Xinwei Ma , Jinping Xie","doi":"10.1080/19427867.2024.2354015","DOIUrl":"10.1080/19427867.2024.2354015","url":null,"abstract":"<div><div>Planned special events (PSEs) can significantly increase traffic demand, posing greater challenges than daily operations. In response, host cities often invest heavily in transportation upgrades. This study proposes a model integrating cumulative prospect theory (CPT) and multiple-attribute decision-making to understand mode choice behavior of PSE attendees. This integration enables direct extraction of traveler preference information, offering a more suitable description of the decision-making process. The decision matrix considers mode and attribute heterogeneity. The reference point for CPT is derived from previous PSE trips or commutes. Furthermore, this paper assesses asymmetric nonlinear sensitivity and distorted perceptions of different attributes. Analysis of mode-choice behavior for PSE participation, using survey data from Tianjin, China, validates the approach. It better characterizes PSE choice behaviors and demonstrates varying sensitivity to gains and losses, dependent on different attributes and distances. Thus, event planners should prioritize improving travel time and convenience to increase public transport mode share.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 406-422"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140969742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Regression approach to analyze the travel characteristics of university students 分析大学生旅行特点的回归方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-03-16 DOI: 10.1080/19427867.2024.2366327

Bisma Khalid , Zia ur Rehman , Farhan Haider , Ammad Hassan Khan , Qaiser Naheed Hashmi , Ali Raza , Muhammad Sohail Jameel

引用次数: 0

Optimal electric bus scheduling considering battery degradation effect and charging facility capacity 考虑电池衰减效应和充电设施容量的最佳电动公交调度

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-03-16 DOI: 10.1080/19427867.2024.2363659

Mingye Zhang , Min Yang

引用次数: 0

A Stackelberg game-based on-ramp merging controller for connected automated vehicles in mixed traffic flow 基于堆栈博弈的匝道并线控制器，适用于混合交通流中的联网自动驾驶车辆

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-03-16 DOI: 10.1080/19427867.2024.2359251

Yangsheng Jiang , Hongyu Chen , Guosheng Xiao , Hongwei Cong , Zhihong Yao

{"title":"A Stackelberg game-based on-ramp merging controller for connected automated vehicles in mixed traffic flow","authors":"Yangsheng Jiang , Hongyu Chen , Guosheng Xiao , Hongwei Cong , Zhihong Yao","doi":"10.1080/19427867.2024.2359251","DOIUrl":"10.1080/19427867.2024.2359251","url":null,"abstract":"<div><div>This paper proposes a game theory-based on-ramp merging controller for connected automated vehicles (CAVs) in mixed traffic flow. First, a two-layer decision-making framework based on the Stackelberg game is designed to consider the fuel consumption and safety payoffs of mixed traffic flow under different driving behaviors. The upper layer of the framework determines the optimal merging decision (i.e. merging time and location) for on-ramp vehicles (RVs) based on the Stackelberg game. The lower layer optimizes the merging trajectory of CAVs to reduce energy consumption and safety risks during the ramp-merging process. Then, a driving behavior estimation algorithm is developed to describe the differences in mainline vehicles (MLVs) response to the merging behavior of RVs. Finally, the simulation experiments are adopted to verify the effectiveness and stability of the proposed framework. The results indicated that, the proposed framework promotes environmental protection, operational efficiency, and traffic flow stability in different traffic scenarios.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 423-441"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141148942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Short-term traffic flow prediction via weight optimization of composite models 通过复合模型权重优化进行短期交通流量预测

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-03-16 DOI: 10.1080/19427867.2024.2353485

Xinyi He , Yao Hu , Wangyong Chen , Yutao Qin , Chuliang Wu , Wanlian Lu

{"title":"Short-term traffic flow prediction via weight optimization of composite models","authors":"Xinyi He , Yao Hu , Wangyong Chen , Yutao Qin , Chuliang Wu , Wanlian Lu","doi":"10.1080/19427867.2024.2353485","DOIUrl":"10.1080/19427867.2024.2353485","url":null,"abstract":"<div><div>Accurate prediction of peak-hour traffic flow is crucial for congestion management. Neural network models have varying performance in different domains, limiting their effectiveness in traffic data. To address this, we propose the SSA-BiLSTM-BP-Elman ensemble model. It integrates bi-directional long short-term memory (BiLSTM), back propagation (BP) neural network, and Elman network. The model uses the sparrow search algorithm (SSA) to optimize the weight distribution to improve the prediction accuracy. Initially, the BiLSTM, BP, and Elman models are parameter-optimized by the Bayesian approach. SSA then assigns unique weights to each model based on the characteristics of the extracted data features. Results from an application to UK high-speed traffic flow data show that SSA significantly improves the accuracy of model predictions. This integrated model effectively utilizes the strengths of each model by assigning appropriate weighting coefficients by SSA, thus improving the overall prediction performance.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 395-405"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141113619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explaining deep learning-based activity schedule models using SHapley Additive exPlanations 使用 SHapley Additive exPlanations 解释基于深度学习的活动计划模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-03-16 DOI: 10.1080/19427867.2024.2359304

Anil Koushik , M. Manoj , N. Nezamuddin

{"title":"Explaining deep learning-based activity schedule models using SHapley Additive exPlanations","authors":"Anil Koushik , M. Manoj , N. Nezamuddin","doi":"10.1080/19427867.2024.2359304","DOIUrl":"10.1080/19427867.2024.2359304","url":null,"abstract":"<div><div>Artificial neural networks are often criticized for their black box nature in travel behavior literature. The lack of understanding of variable influence induces little confidence in model predictions, significantly affecting their practical utility. This study aims to address this issue by employing SHapley Additive exPlanations to understand the influence of different variables in a deep learning-based activity schedule model. The activity schedule is represented as a time series which enables the study of temporal variations in the influence of each variable at much finer resolutions compared to earlier approaches. The findings reveal that variables such as the day-of-week, month of the year, and social participation wield significant influence over the activity schedule, while household structure and urban class also exert noticeable impacts. This proposed methodology enhances our understanding of variable influences at different times of the day, instilling confidence in the deep learning model’s results, advancing its practical application.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 442-457"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141272689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0