Transportation Letters-The International Journal of Transportation Research最新文献_第3页

Users’ perceptions toward autonomous vehicles: case study in Alberta, Canada 用户对自动驾驶汽车的看法：以加拿大阿尔伯塔省为例

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 DOI: 10.1080/19427867.2024.2433337

Mahsa Ghaffari Targhi , Mohammad Ansari Esfeh , Adam Weiss , Lina Kattan

{"title":"Users’ perceptions toward autonomous vehicles: case study in Alberta, Canada","authors":"Mahsa Ghaffari Targhi , Mohammad Ansari Esfeh , Adam Weiss , Lina Kattan","doi":"10.1080/19427867.2024.2433337","DOIUrl":"10.1080/19427867.2024.2433337","url":null,"abstract":"<div><div>This study investigates perceptions and attitudes toward autonomous vehicles (AVs) using an online stated preference (SP) survey conducted in Alberta, Canada. It explores the effect of different sociodemographic, external, and psychological factors on users’ attitudes toward AVs. Additionally, factors contributing to people’s willingness to pay for AVs were evaluated. The results indicate that sociodemographic factors, external factors, and people’s perceptions significantly affect people’s willingness to pay for automation. Level 3 of automation is shown to have a positive effect on the drivers’ utility of driving for commuting and non-commuting trips, while other levels of automation were found negatively affecting the utility of driving. Men were generally more willing to pay for AVs, particularly for commuting trips, while weather conditions, especially icy roads, posed significant concerns about AV reliability. Middle-aged drivers exhibited the highest willingness to pay (WTP) for higher levels of automation, emphasizing the potential early adoption among this group.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1280-1301"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108939","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

A maximum log-likelihood based data fusion model for estimating household’s vehicle purchase decision 基于最大对数似然的家庭购车决策数据融合模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 DOI: 10.1080/19427867.2024.2430109

Md Istiak Jahan , Tanmoy Bhowmik , Sachraa G. Borjigin , Jiehong Lou , Nneoma M. Ugwu , Deb A. Niemeier , Naveen Eluru

{"title":"A maximum log-likelihood based data fusion model for estimating household’s vehicle purchase decision","authors":"Md Istiak Jahan , Tanmoy Bhowmik , Sachraa G. Borjigin , Jiehong Lou , Nneoma M. Ugwu , Deb A. Niemeier , Naveen Eluru","doi":"10.1080/19427867.2024.2430109","DOIUrl":"10.1080/19427867.2024.2430109","url":null,"abstract":"<div><div>The growing adoption of electric vehicles offers a potential opportunity to reduce transportation sector carbon footprint. In our research, we studied vehicle purchase behavior with emphasis on alternative fuel vehicles using the vehicle purchase dataset ‘MaritzCX New Vehicle Customer Study.’ This study consisted of a two-level modeling approach. In the first level, purchasing of a new car was estimated based on consumers socio-economic characteristics. In the second level, the vehicle purchase decision was examined with a two-dimensional dependent variable – vehicle type and fuel type. We employed an innovative data fusion approach that probabilistically links records from MaritzCX with records from National Household Travel Survey with the objective of identifying new independent variables affecting the decision process while maximizing data fit. The final model included a host of independent variables from four different categories: vehicle-, economic-, demographic-, and spatial characteristics. Finally, the model results were employed to conduct an elasticity analysis.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1263-1279"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108937","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

Addressing overfitting in classification models for transport mode choice prediction: a practical application in the Aburrá Valley, Colombia 解决运输方式选择预测分类模型中的过拟合问题：在哥伦比亚aburr<e:1>谷的实际应用

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 DOI: 10.1080/19427867.2024.2422717

Kathleen Salazar-Serna , Sergio A. Barona , Isabel C. García , Lorena Cadavid , Carlos J. Franco

{"title":"Addressing overfitting in classification models for transport mode choice prediction: a practical application in the Aburrá Valley, Colombia","authors":"Kathleen Salazar-Serna , Sergio A. Barona , Isabel C. García , Lorena Cadavid , Carlos J. Franco","doi":"10.1080/19427867.2024.2422717","DOIUrl":"10.1080/19427867.2024.2422717","url":null,"abstract":"<div><div>Overfitting poses a significant limitation in mode choice prediction using classification models, often worsened by the proliferation of features from encoding categorical variables. While dimensionality reduction techniques are widely utilized, their effects on travel-mode choice models’ performance have yet to be comparatively studied. This research compares the impact of dimensionality reduction methods (PCA, CATPCA, FAMD, LDA) on the performance of multinomial models and various supervised learning classifiers (XGBoost, Random Forest, Naive Bayes, K-Nearest Neighbors, Multinomial Logit) for predicting travel mode choice. Utilizing survey data from the Aburrá Valley in Colombia, we detail the process of analyzing derived dimensions and selecting optimal models for both overall and class-specific predictions. Results indicate that dimension reduction enhances predictive power, particularly for less common transport modes, providing a strategy to address class imbalance without modifying data distribution. This methodology deepens understanding of travel behavior, offering valuable insights for modelers and policymakers in developing regions with similar characteristics.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1213-1230"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109066","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

How effective are fixed-effects models in fixing the transit supply–demand bidirectional interaction? 固定效应模型在解决交通供需双向互动方面有多有效？

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 DOI: 10.1080/19427867.2024.2422713

Jorge Diaz-Gutierrez , Andisheh Ranjbari

{"title":"How effective are fixed-effects models in fixing the transit supply–demand bidirectional interaction?","authors":"Jorge Diaz-Gutierrez , Andisheh Ranjbari","doi":"10.1080/19427867.2024.2422713","DOIUrl":"10.1080/19427867.2024.2422713","url":null,"abstract":"<div><div>Transit agencies use direct demand models (DDM) to allocate services. Since the service supply – a crucial predictor in DDMs – is endogenous to demand, including it in the model might yield biased estimations. A widely used methodology that is believed to handle this issue is Fixed Effects (FE). However, the underlying assumptions of FE are valid only if service adjustments take a considerable amount of time. This study investigates the performance of FE for estimating transit ridership. We collected 2013–2019 data and constructed 16 DDMs, employing four methodologies with a shared set of variables. We found that FE has significant limitations in handling endogeneity and will result in parameter estimates that significantly differ from those produced by methodologies that are specifically designed to control for endogeneity (such as FE-IV). Moreover, the use of FE leads to the omission of certain predictors and inaccurate ridership predictions, misguiding agencies as to what changes to implement and potentially impacting revenue projections.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 7","pages":"Pages 1199-1212"},"PeriodicalIF":3.3,"publicationDate":"2025-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108936","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

A method for long car-following pair extraction and comprehensive data quality assessment: a case study using Zen Traffic Data 一种长车跟随对提取及综合数据质量评估方法——以Zen Traffic data为例

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-08-09 DOI: 10.1080/19427867.2024.2425514

Ruijie Li , Zuduo Zheng , Daiheng Ni , Linbo Li

引用次数: 0

Research on vehicle trajectory prediction methods in dense and heterogeneous urban traffic 密集异构城市交通车辆轨迹预测方法研究

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2403818

Sumin Zhang , Ri Bai , Rui He , Zhiwei Meng , Yupeng Chang , Yongshuai Zhi

{"title":"Research on vehicle trajectory prediction methods in dense and heterogeneous urban traffic","authors":"Sumin Zhang , Ri Bai , Rui He , Zhiwei Meng , Yupeng Chang , Yongshuai Zhi","doi":"10.1080/19427867.2024.2403818","DOIUrl":"10.1080/19427867.2024.2403818","url":null,"abstract":"<div><div>In autonomous driving, accurately predicting the trajectories of surrounding vehicles is essential, particularly in dense and heterogeneous urban traffic. We propose a graph-structured model with a category layer to efficiently forecast the target vehicle’s trajectory. The model enables flexible selection of interacting objects based on environmental interactions and extracts spatial-temporal features using a graph convolutional network. A categorical layer is introduced to account for the different influences of dynamic agents, while vehicle dynamics constraints ensure the feasibility of predicted trajectories. We developed a new heterogeneous and dense urban unsignalized intersection dataset (HID), capturing complex urban interactions, and conducted extensive experiments on HID, ApolloScape, and TRAF datasets. Results demonstrate that our model outperforms benchmark methods across diverse urban scenarios, and the integration of key modules significantly enhances prediction accuracy and performance.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 968-983"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144570682","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

Integrating mobility service satisfaction into the object case of best-worst scaling method to weight attributes of MaaS bundles: findings based on samples from three cities of China 将出行服务满意度纳入MaaS捆绑包权重属性最佳-最差标度法的目标案例：基于中国三个城市样本的研究结果

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2025.2488631

Xiaofeng Pan , Ling Jin

引用次数: 0

Pricing model of ride-hailing platform considering rationally inattentive passengers 考虑理性注意力不集中乘客的网约车平台定价模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2400820

Chuan-Lin Zhao , Yangqi Sun , Haijuan Wu , Dongbao Niu

引用次数: 0

Should the multi-layer transportation network structure be reduced? 多层交通网络结构是否应该减少？

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2408923

Yue Zhang , Bin Shuai , Jing Zhou , Dezhi Yin , Wencheng Huang

{"title":"Should the multi-layer transportation network structure be reduced?","authors":"Yue Zhang , Bin Shuai , Jing Zhou , Dezhi Yin , Wencheng Huang","doi":"10.1080/19427867.2024.2408923","DOIUrl":"10.1080/19427867.2024.2408923","url":null,"abstract":"<div><div>The increasing diversity of transportation modes and the rapid expansion of transportation networks present significant challenges for modeling multi-layer comprehensive transportation networks. It is crucial to determine whether aggregating certain layers is a viable option for balancing complexity reduction and information preservation. This decision defines the layered structures and informs subsequent analyses of these networks. Two-dimensional factors, namely topological structures and transportation attributes, are considered to enhance understanding of the similarities among network layers. The relative entropy and the Gini index are employed as metrics to assess information gain or loss resulting from layer aggregation or segregation, guiding decisions on network reduction. Furthermore, an integrated similarity measure, based on the quantum Jensen-Shannon divergence and the Gower distance, is utilized to identify the optimal aggregation sequences. Two real-world transportation networks serve as case studies. Results demonstrate that these transportation networks are more effectively maintained with layer-separated structures, preserving maximum information.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1079-1090"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572109","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

A systematic review of the application and prospect of road accident blackspots identification approaches 道路交通事故黑点识别方法的应用与展望

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI: 10.1080/19427867.2024.2416304

Changjian Zhang , Jie He , Haifeng Wang , Yuntao Ye , Xintong Yan , Chenwei Wang , Xiazhi Zhang

{"title":"A systematic review of the application and prospect of road accident blackspots identification approaches","authors":"Changjian Zhang , Jie He , Haifeng Wang , Yuntao Ye , Xintong Yan , Chenwei Wang , Xiazhi Zhang","doi":"10.1080/19427867.2024.2416304","DOIUrl":"10.1080/19427867.2024.2416304","url":null,"abstract":"<div><div>Blackspot identification is a global concern in road safety. The accident-based method has been widely employed over the past few decades but remains reactive, as it depends on accidents occurring and causing harm. To overcome its limitations, proactive methods based on surrogate indicators have emerged. However, apart from Traffic Conflict Technology (TCT), other surrogate indicators lack a comprehensive framework spanning from extraction to practical application, emphasizing a key priority for future research. Despite numerous proposed methods, critical evaluation of their strengths, limitations, and application contexts remains limited. Additionally, the literature often overlooks the measurement of ‘potential accident risk’ in blackspot identification. Due to the rarity and randomness of accidents, even high-risk sections may record accident counts below the threshold during observation. This paper reviews 182 studies, examining blackspot identification methods and exploring potential accident risk through surrogate indicators. It underscores the importance of integrating potential risk into identification processes and summarizes the application of these methods across countries with varying income levels. Finally, it outlines the connection between blackspot identification and accident severity analysis, offering recommendations for future research.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 6","pages":"Pages 1114-1137"},"PeriodicalIF":3.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144572502","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