Transportation Letters-The International Journal of Transportation Research最新文献_第8页

Investigation of hit-and-run crash severity through explainable machine learning 通过可解释的机器学习来调查肇事逃逸事故的严重程度

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-11-26 Epub Date: 2025-04-08 DOI: 10.1080/19427867.2025.2488976

Stella Roussou , Apostolos Ziakopoulos , George Yannis

{"title":"Investigation of hit-and-run crash severity through explainable machine learning","authors":"Stella Roussou , Apostolos Ziakopoulos , George Yannis","doi":"10.1080/19427867.2025.2488976","DOIUrl":"10.1080/19427867.2025.2488976","url":null,"abstract":"<div><div>This study investigates factors influencing the severity of hit-and-run crashes using explainable machine learning techniques. A 5-year dataset from Victoria, Australia, was analyzed with CatBoost algorithms and SHAP values to highlight key severity factors. The presence of police at the crash scene emerges as the most critical determinant, underscoring the importance of law enforcement in mitigating severe crash outcomes. Crashes involving passenger vehicles and those on weekends were also linked to higher severity. The number of vehicles and total persons involved showed non-linear effects, with both low and high values associated with lower severity. Alcohol-related crashes and speed limit zones, while moderately important, revealed complex roles in severity prediction. These novel findings offer valuable insights for targeted interventions and policy-making to mitigate the impact of severe hit-and-run crashes and enhance road safety. In this way, policymakers can develop more effective strategies to reduce the impact of these phenomena.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 10","pages":"Pages 1755-1770"},"PeriodicalIF":3.3,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665519","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 bounded rationality in discretionary lane-changing with the cumulative prospect theory 用累积前景理论对任意变道的有限理性建模

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-11-26 Epub Date: 2025-05-01 DOI: 10.1080/19427867.2025.2495940

Dewen Kong , Xi Zhang , Miao Wang , Lishan Sun , Yan Xu , Qingqing Wang

{"title":"Modeling bounded rationality in discretionary lane-changing with the cumulative prospect theory","authors":"Dewen Kong , Xi Zhang , Miao Wang , Lishan Sun , Yan Xu , Qingqing Wang","doi":"10.1080/19427867.2025.2495940","DOIUrl":"10.1080/19427867.2025.2495940","url":null,"abstract":"<div><div>Discretionary lane-changing behavior, a prevalent expressway phenomenon, necessitates driver-centric analysis. Existing studies often assume perfect rationality, neglecting bounded rationality. This work divides decisions into perception and judgment phases. For perception, stated preference surveys and data-driven methods evaluate how drivers’ attention allocation and cognitive limits shape decisions. During judgment, cumulative prospect theory with logistic regression models heterogeneous reference points, achieving >90% accuracy—10% higher than expected utility models. Sensitivity analysis reveals: 1) 17% increased lane-changing propensity when risk aversion falls below loss sensitivity; 2) Loss aversion dominance in suboptimal lanes; 3) Systematic underestimation of high-probability events via probability distortion. These results quantitatively establish bounded rationality’s cognitive mechanisms in driving, offering theoretical foundations for human-machine collaborative systems and traffic management strategies addressing cognitive constraints. The dual-phase framework enhances behavioral realism while maintaining computational tractability in driving simulations.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 10","pages":"Pages 1785-1800"},"PeriodicalIF":3.3,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665521","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

Applying hybrid dimension reduction and econometric model to investigate rider behaviors in roadway departure motorcycle crashes 应用混合降维和计量经济模型研究摩托车偏离道路碰撞中驾驶员行为

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-11-26 Epub Date: 2025-06-13 DOI: 10.1080/19427867.2025.2516422

Subasish Das , Monire Jafari , Richard Dzinyela , Md Nasim Khan

引用次数: 0

E-scooters as transit feeders: insights from revealed preferences of shared e-scooter users 电动滑板车作为交通工具：来自共享电动滑板车用户偏好的见解

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-11-26 Epub Date: 2025-04-26 DOI: 10.1080/19427867.2025.2496455

Mohammadjavad Javadinasr , Sina Asgharpour , Abolfazl (Kouros) Mohammadian

{"title":"E-scooters as transit feeders: insights from revealed preferences of shared e-scooter users","authors":"Mohammadjavad Javadinasr , Sina Asgharpour , Abolfazl (Kouros) Mohammadian","doi":"10.1080/19427867.2025.2496455","DOIUrl":"10.1080/19427867.2025.2496455","url":null,"abstract":"<div><div>While e-scooters are increasingly used for short-distance trips, concerns persist regarding their effective integration with public transit. This study sheds light on the factors shaping revealed preferences for using e-scooters as transit access/egress mode by surveying 2,126 shared e-scooter users. We developed a Generalized Structural Equation Model (GSEM) to analyze the impacts of sociodemographic, transportation-related, and attitudinal factors on the frequency of e-scooter integration with transit. The results identified four attitudinal variables—transportation efficacy, variety seeking, environmental concern, and perceived safety—as the main drivers. Regarding demographic factors, experienced e-scooter users are more likely to integrate with transit, and women are less likely to use e-scooters in integration with transit. Furthermore, the findings underscored the role of transportation variables, households without personal vehicles, and access time to e-scooters under five minutes. The insights gained from the study help urban planners enhance e‑scooter–transit synergy and advance sustainable micromobility use.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 10","pages":"Pages 1801-1818"},"PeriodicalIF":3.3,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145665571","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 design and optimization of customized bus travel services for urban commuting 城市通勤定制公交出行服务集成设计与优化

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-11-26 Epub Date: 2025-04-21 DOI: 10.1080/19427867.2025.2491532

Xu Wang , Tong Zhou , Rongjian Dai , Bingbing Xue , Yingchao Sun

引用次数: 0

Highway non-recurrent congestion prediction using a multi-step spatio-temporal deep learning approach 基于多步时空深度学习方法的公路非经常性拥堵预测

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-10-21 Epub Date: 2025-03-15 DOI: 10.1080/19427867.2025.2477005

Jing Li , Hao Yang , Saiedeh Razavi , Harith Abdulsattar

{"title":"Highway non-recurrent congestion prediction using a multi-step spatio-temporal deep learning approach","authors":"Jing Li , Hao Yang , Saiedeh Razavi , Harith Abdulsattar","doi":"10.1080/19427867.2025.2477005","DOIUrl":"10.1080/19427867.2025.2477005","url":null,"abstract":"<div><div>Accurate forecasting of highway Non-Recurrent Congestion (NRC) is critical for modern transportation systems. However, this research remains in its early stages and is frequently constrained to single-step temporal prediction. To address this limitation, this research presents a novel approach that leverages the Dual-Stream Autoencoder Sequence-to-Sequence model (DS-AE-Seq2Seq) to create an accurate tool for quantitative, spatio-temporal, and multi-step prediction of highway NRC. The proposed model innovatively integrates an Autoencoder and a Seq2Seq encoder to process static and time-series data, respectively. The decoder generates spatio-temporal predictions using the outcomes of both streams. The model is tested with data collected from highway I-5 and I-405, USA. Results show that it not only outperforms benchmarks but also exhibits high prediction accuracy under extreme traffic conditions, including severe injury incidents and various levels of service. Additionally, the model demonstrated reliability, through a sensitivity analysis, across different distances and prediction horizons.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 9","pages":"Pages 1611-1627"},"PeriodicalIF":3.3,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469217","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 complexity of daily activity schedules using spatial statistics and machine learning methods 利用空间统计和机器学习方法探索日常活动安排的复杂性

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-10-21 Epub Date: 2025-04-06 DOI: 10.1080/19427867.2025.2470545

Mostaq Ahmed , Mahmudur Fatmi

{"title":"Exploring the complexity of daily activity schedules using spatial statistics and machine learning methods","authors":"Mostaq Ahmed , Mahmudur Fatmi","doi":"10.1080/19427867.2025.2470545","DOIUrl":"10.1080/19427867.2025.2470545","url":null,"abstract":"<div><div>Daily activity complexity—the diversity and sequence of activities individuals perform—is crucial for understanding travel behavior. However, the non-linear spatial interactions of socio-demographic and land use factors influencing this complexity remain less explored. This study integrates a complexity indicator (encompassing entropy and activity transitions), spatial clustering (Local Indicators of Spatial Association), and random forest modeling to address this gap. Using the 2018 Okanagan Travel Survey data, we identify distinct spatial clusters: High-High (areas where individuals and their neighbors both exhibit high complexity), High-Low, Low-Low, and Low-High complexity. Our results highlight significant non-linear associations between daily activity complexity and factors such as proximity to central business districts, amenities, transit accessibility, land use diversity, age, and income. This combined approach captures intricate spatial interactions, providing novel insights into how activity complexity varies across different geographic and socio-demographic contexts, emphasizing the importance of considering non-linear effects in travel behavior analysis.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 9","pages":"Pages 1549-1565"},"PeriodicalIF":3.3,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468806","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

Online crowdsourced delivery optimization problem for takeaway orders with balanced rider resources and uncertain travel time 骑手资源均衡且出行时间不确定的外卖订单在线众包配送优化问题

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-10-21 Epub Date: 2025-04-19 DOI: 10.1080/19427867.2025.2487455

Yanfang Ma , Jialei Li , Jinzhao Xue , Zongmin Li

{"title":"Online crowdsourced delivery optimization problem for takeaway orders with balanced rider resources and uncertain travel time","authors":"Yanfang Ma , Jialei Li , Jinzhao Xue , Zongmin Li","doi":"10.1080/19427867.2025.2487455","DOIUrl":"10.1080/19427867.2025.2487455","url":null,"abstract":"<div><div>The takeaway food is mostly ordered online, and delivered. Some riders may receive orders beyond their capacity, causing resource imbalance. Additionally, uncertain travel time makes it difficult for riders to complete deliveries effectively. Thus, an integer programming is formulated for the online crowdsourced delivery problem with balanced rider resources and uncertain travel time (OCD-BRUT) to optimize rider delivery routes. An improved genetic algorithm (IGA) with order sequence optimization operator is developed. Numerical experiments on both simulated and real-world datasets demonstrate that the OCD-BRUT effectively balances rider resources, especially in medium and large instances. For small to medium instances, the average gap between the IGA and the optimal baseline is −2.58%, while the average gap reaches −7.48% in large-scale instances, indicating IGA’s efficiency in handling numerous orders in rush hours. Besides, a sensitivity analysis of several key parameters is also performed to derive managerial insights.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 9","pages":"Pages 1719-1738"},"PeriodicalIF":3.3,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145469215","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

Reducing total waiting time at single charging station: a tradable credit-based peer-peer trading approach 减少单个充电站的总等待时间：基于可交易信用的点对点交易方法

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-10-21 Epub Date: 2025-03-28 DOI: 10.1080/19427867.2025.2480127

Hongbo Yi , Yugang Liu , Jiali Li , Shuai Zheng , Yinjie Luo

{"title":"Reducing total waiting time at single charging station: a tradable credit-based peer-peer trading approach","authors":"Hongbo Yi , Yugang Liu , Jiali Li , Shuai Zheng , Yinjie Luo","doi":"10.1080/19427867.2025.2480127","DOIUrl":"10.1080/19427867.2025.2480127","url":null,"abstract":"<div><div>Reducing the waiting time of electric vehicles (EVs) at charging stations and enhancing service experience are critical areas for research. This paper proposes a tradable credit-based peer-to-peer (P2P) trading approach to minimize the total waiting time at charging stations. Upon arrival at the charging station, each vehicle occupant is allocated an equal number of credits. While waiting in queue, vehicles can trade their positions using credits as currency. This system allows high-occupancy vehicles to have greater purchasing power, potentially displacing low-occupancy vehicles, which are compensated accordingly. A comprehensive theoretical framework is developed for the proposed method, and its effectiveness is validated through a series of case studies. The results indicate that the proposed approach significantly reduces the total waiting time for all occupants at the charging station. Furthermore, the underlying reasons for the approach’s strong performance are explained, and the performances of vehicles with different occupancy levels within the system is analyzed. Finally, insights with managerial relevance are derived from the comparative analysis and sensitivity analysis experiments.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 9","pages":"Pages 1682-1692"},"PeriodicalIF":3.3,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468805","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 determinants of motorcyclist non-violation crash injury severities on suburban roads of China: a random parameter logit model with heterogeneity in means and variances 中国郊区道路摩托车驾驶员非违例碰撞伤害严重程度的影响因素探讨：一个均值和方差异质性的随机参数logit模型

IF 3.3 3区工程技术

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-10-21 Epub Date: 2025-03-06 DOI: 10.1080/19427867.2025.2474317

Yuntao Ye , Jie He , Xintong Yan , Chenwei Wang , Pengcheng Qin

{"title":"Exploring determinants of motorcyclist non-violation crash injury severities on suburban roads of China: a random parameter logit model with heterogeneity in means and variances","authors":"Yuntao Ye , Jie He , Xintong Yan , Chenwei Wang , Pengcheng Qin","doi":"10.1080/19427867.2025.2474317","DOIUrl":"10.1080/19427867.2025.2474317","url":null,"abstract":"<div><div>Motorcyclist non-violation (MN-V) crashes were confirmed to be more closely associated with roadway and environmental factors. However, limited studies have explored how these determinants affect injury severity in MN-V crashes. Using motorcycle crash data from Xi’an, China, this study developed multiple random parameters logit models, incorporating heterogeneity in means and variances for investigating the impact of risk determinants on the injury severities sustained by motorcyclists involved in MN-V crashes. An overall temporal instability in the injury severity determinants was revealed via likelihood ratio tests. Several factors were observed to increase the likelihood of severe injuries, including old (age >55), collision with heavy vehicles, head-on collision, curves, dry road surfaces, and holidays. Additionally, unfavorable riding conditions were demonstrated to decrease the probability of severe injuries, which was attributed to the riders’ risk compensation mechanism in adverse conditions. This study provides new insights into the mechanism of motorcyclist injury severity in MN-V crashes.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 9","pages":"Pages 1599-1610"},"PeriodicalIF":3.3,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145468804","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