Transportation Research Part A-Policy and Practice最新文献

英文中文

Vertiport location for eVTOL considering multidimensional demand of urban air mobility: An application in Beijing

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104353

Yu Jiang , Zhichao Li , Yasha Wang , Qingwen Xue

The development of electric vertical take-off and landing aircraft (eVTOL) is expected to provide a new mode of transportation and effectively alleviate traffic congestion in large cities. Vertiports are necessary landing and take-off facilities for eVTOL. The selection of the appropriate locations for vertiports is highly important for the development of urban air mobility (UAM). In this study, a systematic vertiport location method is constructed to facilitate UAM development. First, the UAM demand is evaluated considering the differences in UAM services. The demand is divided into on-demand mobility (ODM) demand and regular shuttle (RS) demand, which are separately evaluated with a discrete choice model. Then, the multidimensional polygon intersection point set (MPIPS) is deployed to determine the potential vertiport location. To improve the demand coverage of travel and decrease traffic congestion and redundant demand coverage, a multiobjective multistage facility maximum coverage location model is developed for vertiports. The nondominated sorting genetic algorithm, version 3 (NSGA-III), with three location strategies, namely, step-by-step, forward prioritization, and balanced development, is proposed to solve the model. Data from Beijing are used to validate the proposed model. The results indicate that the balanced development algorithm achieves the best performance, with an 84.4 % coverage rate of the RS demand and a 44.4 % coverage rate of the ODM demand. Constructing vertiports in high travel demand areas can significantly improve ODM and RS demand coverage and the ability to alleviate traffic congestion but inevitably leads to facility redundancy. However, constructing vertiports in high GDP areas would only marginally increase ODM demand coverage and have a negative effect on other metrics. Moreover, constructing vertiports in inaccessible areas can improve ODM demand coverage and decrease facility redundancy but reduces the ability to alleviate traffic congestion at facilities. These findings can improve the application of eVTOL, alleviate traffic congestion, reduce wasted construction resources, and optimize synergistic capabilities within the UAM system.

{"title":"Vertiport location for eVTOL considering multidimensional demand of urban air mobility: An application in Beijing","authors":"Yu Jiang , Zhichao Li , Yasha Wang , Qingwen Xue","doi":"10.1016/j.tra.2024.104353","DOIUrl":"10.1016/j.tra.2024.104353","url":null,"abstract":"<div><div>The development of electric vertical take-off and landing aircraft (eVTOL) is expected to provide a new mode of transportation and effectively alleviate traffic congestion in large cities. Vertiports are necessary landing and take-off facilities for eVTOL. The selection of the appropriate locations for vertiports is highly important for the development of urban air mobility (UAM). In this study, a systematic vertiport location method is constructed to facilitate UAM development. First, the UAM demand is evaluated considering the differences in UAM services. The demand is divided into on-demand mobility (ODM) demand and regular shuttle (RS) demand, which are separately evaluated with a discrete choice model. Then, the multidimensional polygon intersection point set (MPIPS) is deployed to determine the potential vertiport location. To improve the demand coverage of travel and decrease traffic congestion and redundant demand coverage, a multiobjective multistage facility maximum coverage location model is developed for vertiports. The nondominated sorting genetic algorithm, version 3 (NSGA-III), with three location strategies, namely, step-by-step, forward prioritization, and balanced development, is proposed to solve the model. Data from Beijing are used to validate the proposed model. The results indicate that the balanced development algorithm achieves the best performance, with an 84.4 % coverage rate of the RS demand and a 44.4 % coverage rate of the ODM demand. Constructing vertiports in high travel demand areas can significantly improve ODM and RS demand coverage and the ability to alleviate traffic congestion but inevitably leads to facility redundancy. However, constructing vertiports in high GDP areas would only marginally increase ODM demand coverage and have a negative effect on other metrics. Moreover, constructing vertiports in inaccessible areas can improve ODM demand coverage and decrease facility redundancy but reduces the ability to alleviate traffic congestion at facilities. These findings can improve the application of eVTOL, alleviate traffic congestion, reduce wasted construction resources, and optimize synergistic capabilities within the UAM system.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104353"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145968","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}

引用次数: 0

Built environment and travel satisfaction revisited: Differences between consonant and dissonant travelers

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2025.104375

Xiaoquan Wang , Jiaxin Han , Chaoying Yin , Chunfu Shao , Junyi Zhang

The literature has extensively evaluated the built environment (BE) and travel satisfaction connections; however, there is a lack of research on their potential nonlinear connections and differences in these connections across various groups. The study applies a double machine learning method to scrutinize the nonlinear associations of travel satisfaction with BE, as well as how these connections vary across consonant and dissonant travelers. The findings indicate that BE variables at both residences and trip destinations play a significant role in predicting travel mode dissonance. Furthermore, the study highlights the differentiated impacts of BE variables at different locations on travel satisfaction, with relative contributions of 49.34% and 71.60% for consonant and dissonant travelers, respectively. Additionally, the analysis reveals nonlinear connections between BE variables and travel satisfaction, with variations in connection patterns between consonant and dissonant travelers. The findings deepen the understanding of travel satisfaction and offer implications for land use planning.

{"title":"Built environment and travel satisfaction revisited: Differences between consonant and dissonant travelers","authors":"Xiaoquan Wang , Jiaxin Han , Chaoying Yin , Chunfu Shao , Junyi Zhang","doi":"10.1016/j.tra.2025.104375","DOIUrl":"10.1016/j.tra.2025.104375","url":null,"abstract":"<div><div>The literature has extensively evaluated the built environment (BE) and travel satisfaction connections; however, there is a lack of research on their potential nonlinear connections and differences in these connections across various groups. The study applies a double machine learning method to scrutinize the nonlinear associations of travel satisfaction with BE, as well as how these connections vary across consonant and dissonant travelers. The findings indicate that BE variables at both residences and trip destinations play a significant role in predicting travel mode dissonance. Furthermore, the study highlights the differentiated impacts of BE variables at different locations on travel satisfaction, with relative contributions of 49.34% and 71.60% for consonant and dissonant travelers, respectively. Additionally, the analysis reveals nonlinear connections between BE variables and travel satisfaction, with variations in connection patterns between consonant and dissonant travelers. The findings deepen the understanding of travel satisfaction and offer implications for land use planning.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104375"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146682","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}

引用次数: 0

The battle for kerbside space: An evaluation of the competition between car-hailing and bus services

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2025.104392

Tianli Tang , Ronghui Liu , Greg Marsden , Ziyuan Gu , Xiao Fu

The kerbside of today is a complex environment with a huge diversity of uses and highly dynamic patterns of use, including for parking, (un)loading, EV charging, and bus stops. The competition for kerbside space is to become more fierce with the rising of car-hailing services (CHS) and soon the connected and autonomous vehicles (CAVs). The kerbside is an often overlooked yet critical urban infrastructure which requires better understanding of its varies uses and functions. In this paper, we examine the competition between CHSs and traditional buses on the use of kerbside lanes. More specifically, we investigate the relationship between the mode share of car-hailing and bus services, network congestion and the performance of bus priority strategies along a real-life bus corridor and quantify their effects through simulation modelling of a set of future scenarios. The results show that the increasing penetration of car-hailing services will negatively impact network performance due to the growing number of kerbside stops, while increasing the share of public transport can help mitigate this loss and improve network resilience. Additionally, bus improvement policies, such as bus lanes and faster boarding techniques, can effectively prevent the adverse effects of car-hailing on network speed. These findings demonstrate the importance of managing kerbside space in a range of scenarios and offer valuable insights to authorities and researchers for policy-making and modelling.

{"title":"The battle for kerbside space: An evaluation of the competition between car-hailing and bus services","authors":"Tianli Tang , Ronghui Liu , Greg Marsden , Ziyuan Gu , Xiao Fu","doi":"10.1016/j.tra.2025.104392","DOIUrl":"10.1016/j.tra.2025.104392","url":null,"abstract":"<div><div>The kerbside of today is a complex environment with a huge diversity of uses and highly dynamic patterns of use, including for parking, (un)loading, EV charging, and bus stops. The competition for kerbside space is to become more fierce with the rising of car-hailing services (CHS) and soon the connected and autonomous vehicles (CAVs). The kerbside is an often overlooked yet critical urban infrastructure which requires better understanding of its varies uses and functions. In this paper, we examine the competition between CHSs and traditional buses on the use of kerbside lanes. More specifically, we investigate the relationship between the mode share of car-hailing and bus services, network congestion and the performance of bus priority strategies along a real-life bus corridor and quantify their effects through simulation modelling of a set of future scenarios. The results show that the increasing penetration of car-hailing services will negatively impact network performance due to the growing number of kerbside stops, while increasing the share of public transport can help mitigate this loss and improve network resilience. Additionally, bus improvement policies, such as bus lanes and faster boarding techniques, can effectively prevent the adverse effects of car-hailing on network speed. These findings demonstrate the importance of managing kerbside space in a range of scenarios and offer valuable insights to authorities and researchers for policy-making and modelling.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104392"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146053","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}

引用次数: 0

An integrated ordered logit and latent variable model for accident injury severity and risk-taking behavior

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104330

Nicola Ortelli , Matthieu de Lapparent , Silvia F. Varotto , Michel Bierlaire

This study presents a flexible model for risk-taking behavior and accident injury severity. It is specifically designed to evaluate the impact of Via Sicura, a Swiss road safety program, on the severity of accident outcomes. Our proposed model treats the risk-taking behavior of each driver as a latent variable that depends on a number of socioeconomic and contextual factors, and whose manifestation can be measured by means of behavioral indicators. The aggregated risk, a central feature of our framework, represents the combined latent risk-taking behaviors among all drivers within an accident and is successfully identified as explanatory of the severity of injuries sustained by all individuals involved. Our findings reveal that Via Sicura’s repressive measures successfully deter risk-taking behavior among drivers, preventing an estimated 63 fatal, 876 major and 2,303 minor injuries over a ten-year period.

引用次数: 0

Computer vision-enriched discrete choice models, with an application to residential location choice

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104300

Sander van Cranenburgh, Francisco Garrido-Valenzuela

Visual imagery is indispensable to many multi-attribute decision situations. Examples of such decision situations in travel behaviour research include residential location choices, vehicle choices, tourist destination choices, and various safety-related choices. However, current discrete choice models cannot handle image data algorithmically and thus cannot incorporate information embedded in images into their representations of choice behaviour. This gap between discrete choice models’ capabilities and the real-world behaviour it seeks to model leads to incomplete and, possibly, misleading outcomes. To solve this gap, this study proposes “Computer Vision-enriched Discrete Choice Models” (CV-DCMs). CV-DCMs can handle choice tasks involving numeric attributes and images by integrating computer vision and traditional discrete choice models. Moreover, because CV-DCMs are grounded in random utility maximisation principles, they maintain the solid behavioural foundation of traditional discrete choice models. We demonstrate the proposed CV-DCM by applying it to data obtained through a novel stated choice experiment involving residential location choices. In this experiment, respondents faced choice tasks with trade-offs between commute time, monthly housing cost and street-level conditions, presented using images. We find that CV-DCMs can offer novel insights into preferences regarding features presented in images, such as what street-level conditions people find most and least attractive and how these preferences vary across age groups.

{"title":"Computer vision-enriched discrete choice models, with an application to residential location choice","authors":"Sander van Cranenburgh, Francisco Garrido-Valenzuela","doi":"10.1016/j.tra.2024.104300","DOIUrl":"10.1016/j.tra.2024.104300","url":null,"abstract":"<div><div>Visual imagery is indispensable to many multi-attribute decision situations. Examples of such decision situations in travel behaviour research include residential location choices, vehicle choices, tourist destination choices, and various safety-related choices. However, current discrete choice models cannot handle image data algorithmically and thus cannot incorporate information embedded in images into their representations of choice behaviour. This gap between discrete choice models’ capabilities and the real-world behaviour it seeks to model leads to incomplete and, possibly, misleading outcomes. To solve this gap, this study proposes “Computer Vision-enriched Discrete Choice Models” (CV-DCMs). CV-DCMs can handle choice tasks involving numeric attributes and images by integrating computer vision and traditional discrete choice models. Moreover, because CV-DCMs are grounded in random utility maximisation principles, they maintain the solid behavioural foundation of traditional discrete choice models. We demonstrate the proposed CV-DCM by applying it to data obtained through a novel stated choice experiment involving residential location choices. In this experiment, respondents faced choice tasks with trade-offs between commute time, monthly housing cost and street-level conditions, presented using images. We find that CV-DCMs can offer novel insights into preferences regarding features presented in images, such as what street-level conditions people find most and least attractive and how these preferences vary across age groups.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104300"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146518","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}

引用次数: 0

A stated choice study to assess charging and travel decisions of electric car users considering car attributes and trip chaining complexity – Case New Delhi, India

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104366

Poonam Adsule, M. Manoj

This paper investigates the travel and charging choices of electric car users who also own a conventional-fuel vehicle. While travel behavior impacts on charging decisions have been explored in earlier studies, studies have excluded the possibility of shifting to conventional fuel vehicles by electric car users. In addition, the effects of the time spent at destinations on charging choices are also unexplored in travel behavior literature. Using a stated choice data collected in New Delhi, India, the study estimates a nested integrated choice and latent variable model to assess individuals’ choices among ‘travel according to the tour plan without charging the EV, ‘travel according to the tour plan with charging the EV’ and ‘complete the tour by shifting to conventional-fuel vehicles’. The study finds that increased tour distance leads to the choice of conventional fuel vehicle over the electric car. Besides, participation in a work tour and trip chain complexity positively affects choice of conventional fuel vehicles. While a higher initial SoC leads to decreased preferences for completing a tour on electric car with charging and shifting to conventional fuel vehicles. Overall, the study finds that travel behavior influences charging choices and travel decisions, E-car users still value conventional-fuel vehicles in accomplishing their travel patterns if E-car attributes are unfavorable.

{"title":"A stated choice study to assess charging and travel decisions of electric car users considering car attributes and trip chaining complexity – Case New Delhi, India","authors":"Poonam Adsule, M. Manoj","doi":"10.1016/j.tra.2024.104366","DOIUrl":"10.1016/j.tra.2024.104366","url":null,"abstract":"<div><div>This paper investigates the travel and charging choices of electric car users who also own a conventional-fuel vehicle. While travel behavior impacts on charging decisions have been explored in earlier studies, studies have excluded the possibility of shifting to conventional fuel vehicles by electric car users. In addition, the effects of the time spent at destinations on charging choices are also unexplored in travel behavior literature. Using a stated choice data collected in New Delhi, India, the study estimates a nested integrated choice and latent variable model to assess individuals’ choices among ‘travel according to the tour plan without charging the EV, ‘travel according to the tour plan with charging the EV’ and ‘complete the tour by shifting to conventional-fuel vehicles’. The study finds that increased tour distance leads to the choice of conventional fuel vehicle over the electric car. Besides, participation in a work tour and trip chain complexity positively affects choice of conventional fuel vehicles. While a higher initial SoC leads to decreased preferences for completing a tour on electric car with charging and shifting to conventional fuel vehicles. Overall, the study finds that travel behavior influences charging choices and travel decisions, E-car users still value conventional-fuel vehicles in accomplishing their travel patterns if E-car attributes are unfavorable.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104366"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146591","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}

引用次数: 0

How do differences in airline passengers’ satisfaction with connectivity modes affect last-mile travel choices? A SALC modeling based on RRM

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2025.104374

JiangBo Yu , JianCheng Weng , Tian Wang , PengFei Lin , YuXing Sun , JiaoLong Chai

Airport connectivity travel is the last mile of the air travel process. The characteristics of different connectivity travel modes are key factors influencing air passengers’ choices. However, the arriving passengers’ subjective expectations and satisfaction levels differ significantly across these modes. Therefore, considering differences in satisfaction of passengers with connectivity services, the study conducts a questionnaire survey at Beijing Capital International Airport and Beijing Daxing International Airport, and 542 valid questionnaires are obtained. Arriving passengers’ satisfaction with different modes was measured based on the structural equation model. The latent profile analysis was utilized to classify into different categories considering their satisfaction levels. A new model, the scale-adjusted latent class model based on Random Regret Minimization (RRM), is established, using passengers’ satisfaction categories as a scale parameter to analyze the impact of satisfaction differences on connectivity travel mode choices. The results show that there are two primary satisfaction categories, one group has high satisfaction with metro (HSM) and the other has high satisfaction with car-hailing (HSC). Passengers’ preference heterogeneity is revealed and can be divided into three classes, avoiding-transfer (ATC), cost-sensitive (CSC), and time-sensitive (TSC). Waiting time, comfort degree, travel out-of-pocket expenses (OPE), and transfer convenience significantly influence mode choice behavior of TSC. The CSC would be more concerned about the OPE. ATC emphasizes the transfer convenience. Strategies to enhance satisfaction with connectivity services are suggested, aiming to optimize the last mile of intercity travel and promote efficient urban transportation operations.

{"title":"How do differences in airline passengers’ satisfaction with connectivity modes affect last-mile travel choices? A SALC modeling based on RRM","authors":"JiangBo Yu , JianCheng Weng , Tian Wang , PengFei Lin , YuXing Sun , JiaoLong Chai","doi":"10.1016/j.tra.2025.104374","DOIUrl":"10.1016/j.tra.2025.104374","url":null,"abstract":"<div><div>Airport connectivity travel is the last mile of the air travel process. The characteristics of different connectivity travel modes are key factors influencing air passengers’ choices. However, the arriving passengers’ subjective expectations and satisfaction levels differ significantly across these modes. Therefore, considering differences in satisfaction of passengers with connectivity services, the study conducts a questionnaire survey at Beijing Capital International Airport and Beijing Daxing International Airport, and 542 valid questionnaires are obtained. Arriving passengers’ satisfaction with different modes was measured based on the structural equation model. The latent profile analysis was utilized to classify into different categories considering their satisfaction levels. A new model, the scale-adjusted latent class model based on Random Regret Minimization (RRM), is established, using passengers’ satisfaction categories as a scale parameter to analyze the impact of satisfaction differences on connectivity travel mode choices. The results show that there are two primary satisfaction categories, one group has high satisfaction with metro (HSM) and the other has high satisfaction with car-hailing (HSC). Passengers’ preference heterogeneity is revealed and can be divided into three classes, avoiding-transfer (ATC), cost-sensitive (CSC), and time-sensitive (TSC). Waiting time, comfort degree, travel out-of-pocket expenses (OPE), and transfer convenience significantly influence mode choice behavior of TSC. The CSC would be more concerned about the OPE. ATC emphasizes the transfer convenience. Strategies to enhance satisfaction with connectivity services are suggested, aiming to optimize the last mile of intercity travel and promote efficient urban transportation operations.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104374"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146681","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}

引用次数: 0

Introducing the vehicle-infrastructure cooperative control system by quantifying the benefits for the scenario of signalized intersections

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2025.104378

Xianing Wang , Linjun Lu , Zhan Zhang , Ying Wang , Haoming Li

The vehicle-infrastructure cooperative control system (VICCS) leverages autonomous driving technology and interactive communication between vehicles and infrastructure to maximize system-wide benefits. As this technology emerges, a thorough socio-economic evaluation is essential to substantiate its utility. Analyzing comparisons with traditional systems will assist in adopting this innovative technology. This paper quantifies the potential benefits of the VICCS through several steps: defines the application scenarios of VICCS, models the behavioral control of vehicles and traffic signals, simulates the system in mixed-autonomy traffic environments at signalized intersections, analyzes the operational performance and service levels of VICCS, and evaluates the costs and benefits for the private and public sectors. This study employs a technical framework for VICCS that integrates deep reinforcement learning (DRL) methods to optimize vehicle speed and dynamic traffic signal control. The DRL approach is crafted to forecast the system’s performance and level of intelligence in prospective settings more accurately. The findings reveal that the anticipated VICCS will confer considerable benefits, including enhanced safety, operational efficiency, and environmental sustainability, at a cost to be incurred compared to existing systems. This will result in an annual economic gain of at least CNY10,000 (the difference between the expenditure and the gain) for the private and public sectors. This paper provides policy recommendations to support the strategic deployment of VICCS, informing stakeholders of the practical implications and facilitating the traffic system’s integration into advanced mechanisms.

{"title":"Introducing the vehicle-infrastructure cooperative control system by quantifying the benefits for the scenario of signalized intersections","authors":"Xianing Wang , Linjun Lu , Zhan Zhang , Ying Wang , Haoming Li","doi":"10.1016/j.tra.2025.104378","DOIUrl":"10.1016/j.tra.2025.104378","url":null,"abstract":"<div><div>The vehicle-infrastructure cooperative control system (VICCS) leverages autonomous driving technology and interactive communication between vehicles and infrastructure to maximize system-wide benefits. As this technology emerges, a thorough socio-economic evaluation is essential to substantiate its utility. Analyzing comparisons with traditional systems will assist in adopting this innovative technology. This paper quantifies the potential benefits of the VICCS through several steps: defines the application scenarios of VICCS, models the behavioral control of vehicles and traffic signals, simulates the system in mixed-autonomy traffic environments at signalized intersections, analyzes the operational performance and service levels of VICCS, and evaluates the costs and benefits for the private and public sectors. This study employs a technical framework for VICCS that integrates deep reinforcement learning (DRL) methods to optimize vehicle speed and dynamic traffic signal control. The DRL approach is crafted to forecast the system’s performance and level of intelligence in prospective settings more accurately. The findings reveal that the anticipated VICCS will confer considerable benefits, including enhanced safety, operational efficiency, and environmental sustainability, at a cost to be incurred compared to existing systems. This will result in an annual economic gain of at least CNY10,000 (the difference between the expenditure and the gain) for the private and public sectors. This paper provides policy recommendations to support the strategic deployment of VICCS, informing stakeholders of the practical implications and facilitating the traffic system’s integration into advanced mechanisms.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"192 ","pages":"Article 104378"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143146683","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}

引用次数: 0

An attention-based dynamic graph model for on-street parking availability prediction

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2025.104391

Rong Cao , Hongyang Chen , David Z.W. Wang

As cities grow denser, the need for sustainable urban transport solutions intensifies. Effective management of on-street parking is critical in addressing traffic congestion and promoting environmental sustainability. This study presents a machine learning model that leverages complex spatiotemporal dependencies and incorporates essential exogenous factors to accurately predict on-street parking availability. Our approach employs a combination of graph representations-static, dynamic time-warping, and hidden state-generated graphs-to capture distinct aspects of urban parking dynamics. An attention-based fusion mechanism integrates these graphs into a cohesive dynamic graph, providing a refined understanding of parking behavior. The inclusion of external temporal features through advanced gated recurrent units enhances the model’s predictive accuracy. Rigorous testing on real datasets demonstrates the model’s superior performance, achieving a mean absolute error of 0.0379 and a mean square error of 0.0067, thereby surpassing existing benchmarks. Our results highlight the model’s efficacy as a decision-support tool for urban planners and policymakers, facilitating the development of more efficient and sustainable transport systems. Additionally, the model’s interpretability and adaptability make it a valuable tool for better understanding the intricate dynamics of urban parking. We further explore the effects of prediction accuracy and the availability of predictive information on the efficiency of the parking search process, emphasizing the critical role of accurate and timely parking data in minimizing cruising time and enhancing urban mobility.

{"title":"An attention-based dynamic graph model for on-street parking availability prediction","authors":"Rong Cao , Hongyang Chen , David Z.W. Wang","doi":"10.1016/j.tra.2025.104391","DOIUrl":"10.1016/j.tra.2025.104391","url":null,"abstract":"<div><div>As cities grow denser, the need for sustainable urban transport solutions intensifies. Effective management of on-street parking is critical in addressing traffic congestion and promoting environmental sustainability. This study presents a machine learning model that leverages complex spatiotemporal dependencies and incorporates essential exogenous factors to accurately predict on-street parking availability. Our approach employs a combination of graph representations-static, dynamic time-warping, and hidden state-generated graphs-to capture distinct aspects of urban parking dynamics. An attention-based fusion mechanism integrates these graphs into a cohesive dynamic graph, providing a refined understanding of parking behavior. The inclusion of external temporal features through advanced gated recurrent units enhances the model’s predictive accuracy. Rigorous testing on real datasets demonstrates the model’s superior performance, achieving a mean absolute error of 0.0379 and a mean square error of 0.0067, thereby surpassing existing benchmarks. Our results highlight the model’s efficacy as a decision-support tool for urban planners and policymakers, facilitating the development of more efficient and sustainable transport systems. Additionally, the model’s interpretability and adaptability make it a valuable tool for better understanding the intricate dynamics of urban parking. We further explore the effects of prediction accuracy and the availability of predictive information on the efficiency of the parking search process, emphasizing the critical role of accurate and timely parking data in minimizing cruising time and enhancing urban mobility.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"193 ","pages":"Article 104391"},"PeriodicalIF":6.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152897","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}

引用次数: 0

Telemedicine adoption before, during, and after COVID-19: The role of socioeconomic and built environment variables

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-01 DOI: 10.1016/j.tra.2024.104351

Angela J. Haddad, Chandra R. Bhat

The COVID-19 pandemic has led to a significant shift in healthcare delivery, with telemedicine emerging as an important additional service provision channel. This study introduces a novel methodological framework, combining a multiperiod multivariate binary probit (MBP) system and a cross-sectional MBP system, to investigate telemedicine adoption trends, as well as the facilitators and deterrents of adoption. The analysis utilizes data from a three-wave COVID Future Survey (April 2020-November 2021), supplemented by population density and healthcare-related establishment data. The results reveal a generational digital divide, with older adults exhibiting lower adoption rates due to technological barriers and preferences for traditional healthcare interactions. The study also highlights the role of the presence of children, income, transportation access, employment status, and residential location characteristics in telemedicine adoption. Notably, individuals without vehicle access or living in areas with lower geographic accessibility to healthcare providers are more likely to adopt telemedicine, suggesting its potential to reduce healthcare access disparities. The analysis of telemedicine facilitators and deterrents underscores the importance of accessibility, lifestyle preferences, privacy and security issues, technological confidence, and mobility constraints. The study provides valuable insights into policy implications across the public health, telecommunication, transportation, and urban planning sectors.

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Transportation Research Part A-Policy and Practice

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