{"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}
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}
Bisma Khalid , Zia ur Rehman , Farhan Haider , Ammad Hassan Khan , Qaiser Naheed Hashmi , Ali Raza , Muhammad Sohail Jameel
{"title":"Regression approach to analyze the travel characteristics of university students","authors":"Bisma Khalid , Zia ur Rehman , Farhan Haider , Ammad Hassan Khan , Qaiser Naheed Hashmi , Ali Raza , Muhammad Sohail Jameel","doi":"10.1080/19427867.2024.2366327","DOIUrl":"10.1080/19427867.2024.2366327","url":null,"abstract":"<div><div>This study at the University of Engineering and Technology (UET), Lahore, examined students’ travel behavior, mode choice and constraints. Data from 1,449 students were analyzed using various statistical methods, including descriptive analysis, latent class analysis (LCA), multinomial logistic regression (MNL), correlation, and linear regression. The model’s accuracy was evaluated by calculating the percent error. Walking was the most popular mode of transportation within the campus, preferred by 37% of students. Most students traveled 1-15 km, taking 10-15 minutes, with off-campus students typically making three trips to their destination. Safety concerns significantly influenced 37% of students’ travel behavior due to built-in constraints.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 512-527"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141348388","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}
{"title":"Optimal electric bus scheduling considering battery degradation effect and charging facility capacity","authors":"Mingye Zhang , Min Yang","doi":"10.1080/19427867.2024.2363659","DOIUrl":"10.1080/19427867.2024.2363659","url":null,"abstract":"<div><div>Electric buses are environmentally friendly with the features of low noise levels and zero-emissions. However, higher upfront costs due to the battery degradation effect, charging facility capacity and operational issues are the main obstacles to large-scale application of electric buses. This study proposes a mixed-integer nonlinear model for optimizing electric bus scheduling with a partial charging strategy, battery degradation and constraints of charging facility capacity. A genetic algorithm is then proposed to solve the model. Last, a case study based on a real transit network in Nanjing, China is conducted. The experimental results show that compared with the existing scheduling scheme, the optimal scheduling model can reduce the total system costs by 8.20%, which validates the effectiveness of the proposed model. The findings in this paper can provide a reference for operators to formulate electric bus scheduling schemes and promote the sustainable development of public transport.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 491-501"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141650432","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}
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}
{"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}
{"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}
Sung-Eun Kang , Choong-Ki Lee , Yae-na Park , Hossein Olya , Courtney Suess
{"title":"How does the media influence Korean travelers’ intention to use hyperloop trains?","authors":"Sung-Eun Kang , Choong-Ki Lee , Yae-na Park , Hossein Olya , Courtney Suess","doi":"10.1080/19427867.2024.2366330","DOIUrl":"10.1080/19427867.2024.2366330","url":null,"abstract":"<div><div>Hyperloop is recognized as a pioneering and innovative mode of transportation capable of carrying passengers and goods between cities. Using an extended model of goal-directed behavior, this study focuses on examining the impact of media coverage, safety perception, and novelty seeking on the individual decision-making process to undertake Hyperloop travel mode. The research model is tested using data obtained from 406 potential travelers. Results show that media coverage can positively affect Korean travelers’ safety perception, novelty seeking, attitude, subjective norm, positive emotion, and desire to use Hyperloop trains. Results also indicate that safety perception and desire have positive effects on behavioral intention to use Hyperloop trains. Hyperloop companies can benefit from the power of media to stimulate traveler’s intention to use this new and promising mode of traveling.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 528-540"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141345890","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}
Song Wang , Zhixia Li , Yi Wang , Wenjing Zhao , Yingfan Gu , Heng Wei
{"title":"Public preferences and concerns regarding automated vehicle-based transportation services: a mechanism analysis from a Kentucky survey","authors":"Song Wang , Zhixia Li , Yi Wang , Wenjing Zhao , Yingfan Gu , Heng Wei","doi":"10.1080/19427867.2024.2366244","DOIUrl":"10.1080/19427867.2024.2366244","url":null,"abstract":"<div><div>Prior research on Automated Vehicle (AV) transportation services has largely concentrated on specific cases, leading to a narrow comprehension of wider public mobility requirements in AV deployment. Additionally, the impacts of socio-demographics on AV transportation preferences remain underexplored, hindered by limitations in current modeling methodologies. Moreover, mediating roles of safety between socio-demographics and AV transportation preferences lack quantitative validation. This study aims to uncover the reasons behind public preference for AV-based services and investigate safety’s mediating effects on these preferences. In a survey conducted in Kentucky, USA, with 673 responses, the most preferred uses for AV services were post-alcohol rides, airport shuttles, and long-distance travel. Urban areas showed a higher preference for AV services. Age, gender, urbanization, affordability, travel needs, and exposure to AV technology significantly influenced these preferences. The study underscores a high demand for AV services while validating safety concerns as a major barrier to their widespread adoption.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 502-511"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141339795","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}
Dillon T. Fitch-Polse , Hossain Mohiuddin , Susan L. Handy
{"title":"Can bike-share change attitudes? Evidence from the Sacramento, California region","authors":"Dillon T. Fitch-Polse , Hossain Mohiuddin , Susan L. Handy","doi":"10.1080/19427867.2024.2360336","DOIUrl":"10.1080/19427867.2024.2360336","url":null,"abstract":"<div><div>Many existing studies of bike-share services focus on system dynamics and user characteristics, but less is known about how bike-share influences bicycling more broadly. In this study, we examine how a bike-share system influenced travel attitudes of residents through a repeated cross-sectional survey conducted before and after the opening of the system. The study focused on one of the largest dock-less electric-assisted bike-share systems in the US in 2018, the Jump system in three California cities: Sacramento, West Sacramento, and Davis. Results suggest that the bike-share system is likely to have been responsible, at least in part, for more favorable attitudes toward bicycling and less favorable attitudes toward driving. This research demonstrates that the benefits of bike-share can go beyond the general use of the system. Bike-share can also be seen as an intervention that has widespread psychological effects that may increase the likelihood of bicycling.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"17 3","pages":"Pages 458-469"},"PeriodicalIF":3.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141367779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}