Transportation Research Part A-Policy and Practice最新文献

英文中文

Equitable tradable parking permit scheme for shared nonpublic parking management

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-03-07 DOI: 10.1016/j.tra.2025.104419

Shanchuan Yu , Kun Gao , Lang Song , Yuchuan Du

Parking issues have been one of the significant transport problems in central metropolitan areas due to intensive land use and lacking parking spaces. This study presents an approach to evaluating and optimizing a new Tradable Parking Permit scheme for Sharing Parking (TPPSP) in nonpublic parking areas (NPAs). Special emphasis is put on improving the utilization of parking places under multimodal transport systems and equity among different users, which has been overlooked in previous relevant studies. The nested-logit-based user equilibrium condition under multimodal transport systems for the TPPSP scheme is modeled and solved by a variational inequality model, incorporating a quantal response equilibrium dedicated to depicting non-cooperative cruise-for-parking competition. Especially, the model takes into account the heterogeneous users’ choice behavior regarding travel modes and routes. The proposed model not only investigates the impacts of the TPPSP scheme on the performance of the road networks and parking facilities but also the equity of various users. Afterward, a mathematical program with equilibrium constraints is utilized to optimize equity measured by the Gini coefficient and solved by the Kriging metamodel algorithm. Numerical experiments are utilized to validate the proposed approaches. The results show that the proposed TPPSP scheme is an effective approach to promoting social welfare by improving the performance of road networks and parking facilities outside the NPAs and balancing the equity of different users simultaneously. The outcomes provide a potential and useful pricing and management strategy for improving parking issues in urban contexts.

{"title":"Equitable tradable parking permit scheme for shared nonpublic parking management","authors":"Shanchuan Yu , Kun Gao , Lang Song , Yuchuan Du","doi":"10.1016/j.tra.2025.104419","DOIUrl":"10.1016/j.tra.2025.104419","url":null,"abstract":"<div><div>Parking issues have been one of the significant transport problems in central metropolitan areas due to intensive land use and lacking parking spaces. This study presents an approach to evaluating and optimizing a new Tradable Parking Permit scheme for Sharing Parking (TPPSP) in nonpublic parking areas (NPAs). Special emphasis is put on improving the utilization of parking places under multimodal transport systems and equity among different users, which has been overlooked in previous relevant studies. The nested-logit-based user equilibrium condition under multimodal transport systems for the TPPSP scheme is modeled and solved by a variational inequality model, incorporating a quantal response equilibrium dedicated to depicting non-cooperative cruise-for-parking competition. Especially, the model takes into account the heterogeneous users’ choice behavior regarding travel modes and routes. The proposed model not only investigates the impacts of the TPPSP scheme on the performance of the road networks and parking facilities but also the equity of various users. Afterward, a mathematical program with equilibrium constraints is utilized to optimize equity measured by the Gini coefficient and solved by the Kriging metamodel algorithm. Numerical experiments are utilized to validate the proposed approaches. The results show that the proposed TPPSP scheme is an effective approach to promoting social welfare by improving the performance of road networks and parking facilities outside the NPAs and balancing the equity of different users simultaneously. The outcomes provide a potential and useful pricing and management strategy for improving parking issues in urban contexts.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"195 ","pages":"Article 104419"},"PeriodicalIF":6.3,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563726","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

Beyond project segments: An econometric evaluation of traffic network volume forecasting

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-03-06 DOI: 10.1016/j.tra.2025.104434

Kimin Kim, JeGuk Kim

Misallocation of resources and suboptimal transportation projects often stem from inaccurate traffic forecasts, impacting cost-benefit analyses. This pioneering study employs econometric methods to analyze forecast accuracy across entire networks, including often-overlooked non-project segments that are critical to cost-benefit analysis like project segments. Despite an overall underestimation of 12.3% (Mean Percentage Error), project segments consistently exhibit a historical overestimation (−13.8%). Notably, unbiasedness varies among segments, with low-volume segments achieving it statistically. Our analysis reveals intriguing associations between forecast and calibration errors specific to segments. While future forecasting error is statistically linked to forecasts for all segments except project segments, a similar connection between base-year model calibration error and future forecasting error is observed for all segments except low-volume and project segments. Remarkably, low-volume segments, though lacking unbiasedness, demonstrate efficiency during base year calibration, presenting contrasting results. Policy suggestions highlight the potential for forecasting enhancement through improved base-year calibration and question the necessity for separate error tolerances for low-volume segments.

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引用次数: 0

How does differentiated subsidy adjustment influence new energy vehicle sales?

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-03-06 DOI: 10.1016/j.tra.2025.104432

Yanjin Hao , Binbin Peng , Hongyang Zou , Ning Zhu , Huibin Du

Since 2016, China has implemented subsidy phaseout policy aimed at reducing the dependence of new energy vehicles (NEVs) on subsidy and stimulating the endogenous power of the NEV industry. To avoid market fluctuations, the government introduced differentiated subsidy policy that ties subsidy amounts to driving mileage. This study attempts to investigate the effect of differentiated subsidy adjustment once the purchase subsidy scheme is phased out in China. We employed a difference-in-difference approach to investigate the effects of differentiated subsidy policies on NEV sales at the provincial level in 2018. Our findings demonstrate that differentiated subsidy adjustment has a significant negative effect on low-mileage NEVs but a significant positive effect on high-mileage NEVs. We also explore the regional impact of differentiated subsidy policies, indicating that economic disparities significantly influences NEV adoption. Customers from wealthier areas tend to purchase high-end NEVs with the longest mileage. Furthermore, the results indicate that sedan vehicles are more responsive to differentiated subsidy adjustment compared to Sports Utility Vehicles. Overall, our research highlights the effectivenessof differentiated subsidy policy. These findings suggest that the government can promote NEV industry upgrading by implementing targeted, differentiated subsidy policy.

{"title":"How does differentiated subsidy adjustment influence new energy vehicle sales?","authors":"Yanjin Hao , Binbin Peng , Hongyang Zou , Ning Zhu , Huibin Du","doi":"10.1016/j.tra.2025.104432","DOIUrl":"10.1016/j.tra.2025.104432","url":null,"abstract":"<div><div>Since 2016, China has implemented subsidy phaseout policy aimed at reducing the dependence of new energy vehicles (NEVs) on subsidy and stimulating the endogenous power of the NEV industry. To avoid market fluctuations, the government introduced differentiated subsidy policy that ties subsidy amounts to driving mileage. This study attempts to investigate the effect of differentiated subsidy adjustment once the purchase subsidy scheme is phased out in China. We employed a difference-in-difference approach to investigate the effects of differentiated subsidy policies on NEV sales at the provincial level in 2018. Our findings demonstrate that differentiated subsidy adjustment has a significant negative effect on low-mileage NEVs but a significant positive effect on high-mileage NEVs. We also explore the regional impact of differentiated subsidy policies, indicating that economic disparities significantly influences NEV adoption. Customers from wealthier areas tend to purchase high-end NEVs with the longest mileage. Furthermore, the results indicate that sedan vehicles are more responsive to differentiated subsidy adjustment compared to Sports Utility Vehicles. Overall, our research highlights the effectivenessof differentiated subsidy policy. These findings suggest that the government can promote NEV industry upgrading by implementing targeted, differentiated subsidy policy.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"195 ","pages":"Article 104432"},"PeriodicalIF":6.3,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551840","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

Understanding ride-sourcing drivers' working patterns based on platform operations data

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-03-01 DOI: 10.1016/j.tra.2025.104426

Haoge Xu , Yong Chen , Zheng Zhu , Xiqun (Michael) Chen

Ride-sourcing has become an important part of urban transportation systems. Understanding ride-sourcing drivers' working patterns is significant for analyzing urban mobility and modeling the ride-sourcing market. This paper explores ride-sourcing drivers' working patterns using real-world trip order and vehicle trajectory big data in Ningbo, China. First, the definition and rules for identification of 'shift' are introduced, and shift features are explored. Subsequently, a two-stage clustering method is proposed to establish connections between drivers' working patterns and raw shift records. In the first stage, the Gaussian mixture model is used to divide all shift records into ten types based on their start and end times, leading to the identification of ten basic shift patterns. In the second stage, each individual driver is represented using a vector indicating his/her visit frequencies over the ten basic shift patterns, and the K-Means model is used to divide all drivers into seven groups with distinct shift preferences. The results uncover the heterogeneity and complexity of drivers' working patterns. Furthermore, the analysis sheds light on drivers' circumstances, enriching our understanding of their working behavior. Finally, several managerial implications for the government and the platform are given according to the findings. The managerial implications for government policymakers and platform operators can support them in decisions about driver wage guarantee, fleet size restriction, market condition feedback, and new service development.

{"title":"Understanding ride-sourcing drivers' working patterns based on platform operations data","authors":"Haoge Xu , Yong Chen , Zheng Zhu , Xiqun (Michael) Chen","doi":"10.1016/j.tra.2025.104426","DOIUrl":"10.1016/j.tra.2025.104426","url":null,"abstract":"<div><div>Ride-sourcing has become an important part of urban transportation systems. Understanding ride-sourcing drivers' working patterns is significant for analyzing urban mobility and modeling the ride-sourcing market. This paper explores ride-sourcing drivers' working patterns using real-world trip order and vehicle trajectory big data in Ningbo, China. First, the definition and rules for identification of 'shift' are introduced, and shift features are explored. Subsequently, a two-stage clustering method is proposed to establish connections between drivers' working patterns and raw shift records. In the first stage, the Gaussian mixture model is used to divide all shift records into ten types based on their start and end times, leading to the identification of ten basic shift patterns. In the second stage, each individual driver is represented using a vector indicating his/her visit frequencies over the ten basic shift patterns, and the K-Means model is used to divide all drivers into seven groups with distinct shift preferences. The results uncover the heterogeneity and complexity of drivers' working patterns. Furthermore, the analysis sheds light on drivers' circumstances, enriching our understanding of their working behavior. Finally, several managerial implications for the government and the platform are given according to the findings. The managerial implications for government policymakers and platform operators can support them in decisions about driver wage guarantee, fleet size restriction, market condition feedback, and new service development.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104426"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519338","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

Exploring the potential adoption of Mobility-as-a-Service in Beijing: A spatial agent-based model 探索北京采用移动即服务的可能性：基于空间代理的模型

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-03-01 DOI: 10.1016/j.tra.2025.104430

Justin Hayse Chiwing G. Tang , Junbei Liu , Anthony Chen , Bobin Wang , Chengxiang Zhuge , Xiong Yang

Mobility-as-a-Service (MaaS) has gained increasing worldwide popularity in the transport industry. However, it remains unclear how MaaS might diffuse over time and across space at the micro-scale. In response, we developed a spatial agent-based model to explore MaaS adoption and subscription (SABM-MaaS) in Beijing, China, which was based on the empirical findings derived from questionnaire survey data collected in Beijing in January 2020. In particular, we designed four MaaS plans, including pay-as-you-go, monthly, season (spanning three months), and yearly subscription plans, to observe which plan would be adopted by users. The results of the reference scenario revealed that the monthly plan (with a 20% discount) was the most prevalent, with almost one-fifth of agents adopting it, and it was followed by pay-as-you-go, season, and yearly plan. Moreover, we also set up several “what-if” scenarios to explore MaaS packages with different discount offerings, offering only one type of MaaS plan, and varying the intensity of MaaS advertisement. The findings also discovered that users still preferred the monthly subscription and pay-as-you-go options over long-term plans. Furthermore, while a strong intensity of MaaS advertisement had a substantial positive impact during the early stages of MaaS release, it did not sufficiently accelerate overall MaaS adoption and diffusion in the long run. The research outcomes provide valuable insights for the MaaS companies, multimodal transport operators, and demand-responsive transport planners in making better decisions regarding MaaS promotion, price and discount strategies, and shared mobility service planning.

{"title":"Exploring the potential adoption of Mobility-as-a-Service in Beijing: A spatial agent-based model","authors":"Justin Hayse Chiwing G. Tang , Junbei Liu , Anthony Chen , Bobin Wang , Chengxiang Zhuge , Xiong Yang","doi":"10.1016/j.tra.2025.104430","DOIUrl":"10.1016/j.tra.2025.104430","url":null,"abstract":"<div><div>Mobility-as-a-Service (MaaS) has gained increasing worldwide popularity in the transport industry. However, it remains unclear how MaaS might diffuse over time and across space at the micro-scale. In response, we developed a spatial agent-based model to explore MaaS adoption and subscription (SABM-MaaS) in Beijing, China, which was based on the empirical findings derived from questionnaire survey data collected in Beijing in January 2020. In particular, we designed four MaaS plans, including pay-as-you-go, monthly, season (spanning three months), and yearly subscription plans, to observe which plan would be adopted by users. The results of the reference scenario revealed that the monthly plan (with a 20% discount) was the most prevalent, with almost one-fifth of agents adopting it, and it was followed by pay-as-you-go, season, and yearly plan. Moreover, we also set up several “what-if” scenarios to explore MaaS packages with different discount offerings, offering only one type of MaaS plan, and varying the intensity of MaaS advertisement. The findings also discovered that users still preferred the monthly subscription and pay-as-you-go options over long-term plans. Furthermore, while a strong intensity of MaaS advertisement had a substantial positive impact during the early stages of MaaS release, it did not sufficiently accelerate overall MaaS adoption and diffusion in the long run. The research outcomes provide valuable insights for the MaaS companies, multimodal transport operators, and demand-responsive transport planners in making better decisions regarding MaaS promotion, price and discount strategies, and shared mobility service planning.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104430"},"PeriodicalIF":6.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519337","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

On measuring walking accessibility: A link-based utility approach 关于测量步行可达性：基于链接的效用方法

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-28 DOI: 10.1016/j.tra.2025.104431

Zheng Liang , Hong K. Lo , Ka Fai Ng , Kay W. Axhausen

This study formulates a measure of walking accessibility that takes into account the impacts of seven street-level walking attributes, including sidewalk length, footbridge, staircases, at-grade crosswalk, tunnel, ramp, and escalators based on the random utility theory. We integrate the measure with the link-based recursive logit model, which is calibrated with revealed route choice data collected through an unobtrusive pedestrian following survey. This link-based walking accessibility measure does not require knowledge of the path sets, and hence can provide an unbiased accessibility assessment independent of path choice generation. We apply this approach to analyze the performance of walking accessibility to the Kwun Tong Mass Transit Railway station in Hong Kong as a case study. The proposed approach can be used as a practical tool to identify areas with deficient walking accessibility that need improvement and to forecast the expected outcome of any improvement schemes without bias.

引用次数: 0

Time-evolving graph-based approach for multi-ship encounter analysis: Insights into ship behavior across different scenario complexity levels

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-27 DOI: 10.1016/j.tra.2025.104427

Yuerong Yu , Kezhong Liu , Wei Kong , Xuri Xin

Maritime traffic management confronts significant challenges in understanding multi-ship encounter dynamics, particularly in busy waterways. Despite extensive research, the intricate ship behavior patterns and traffic complexity remain insufficiently explored. This study proposes an innovative time-evolving graph-based approach to systematically decompose and analyze multi-ship encounters. Firstly, we employ classical collision risk indicators—Distance to Closest Point of Approach (DCPA), Time to Closest Point of Approach (TCPA), and Relative Distance (RD)—to detect all ship pairs exhibiting encounter relationships. Subsequently, a novel Find-Verify-and-Fix (FVF)-based clustering algorithm is designed to transform sequential two-ship encounters into multi-ship scenarios, capturing the dynamics of ship interactions and their spatiotemporal interference characteristics through evolutionary topology graphs. Furthermore, we integrate a matrix energy model from graph theory with an improved k-means clustering method to assess the complexity level of multi-ship encounters, facilitating an in-depth examination of the key factors contributing to high complexity. Finally, a detailed correlation analysis is conducted to explore the relationship between ship behavior patterns and different complexity levels of encounter scenarios. Experimental analysis using Automatic Identification System (AIS) data from Ningbo-Zhoushan Port reveals critical insights into maritime traffic dynamics. Results demonstrate that factors such as the number of ships and changes in ship topology over time significantly influence traffic complexity. Key findings highlight that in multi-ship encounter scenarios, ships collectively exhibit a relatively conservative behavior pattern, maintaining both a constant speed and steady course. As scenario complexity increases, ships demonstrate adaptive behaviors—notably reduced average speeds and increased turning frequencies, with a particular tendency towards starboard turns. These results will assist traffic management authorities in providing a scientific basis for decision-making, thereby optimizing navigational safety policies.

{"title":"Time-evolving graph-based approach for multi-ship encounter analysis: Insights into ship behavior across different scenario complexity levels","authors":"Yuerong Yu , Kezhong Liu , Wei Kong , Xuri Xin","doi":"10.1016/j.tra.2025.104427","DOIUrl":"10.1016/j.tra.2025.104427","url":null,"abstract":"<div><div>Maritime traffic management confronts significant challenges in understanding multi-ship encounter dynamics, particularly in busy waterways. Despite extensive research, the intricate ship behavior patterns and traffic complexity remain insufficiently explored. This study proposes an innovative time-evolving graph-based approach to systematically decompose and analyze multi-ship encounters. Firstly, we employ classical collision risk indicators—Distance to Closest Point of Approach (DCPA), Time to Closest Point of Approach (TCPA), and Relative Distance (RD)—to detect all ship pairs exhibiting encounter relationships. Subsequently, a novel Find-Verify-and-Fix (FVF)-based clustering algorithm is designed to transform sequential two-ship encounters into multi-ship scenarios, capturing the dynamics of ship interactions and their spatiotemporal interference characteristics through evolutionary topology graphs. Furthermore, we integrate a matrix energy model from graph theory with an improved k-means clustering method to assess the complexity level of multi-ship encounters, facilitating an in-depth examination of the key factors contributing to high complexity. Finally, a detailed correlation analysis is conducted to explore the relationship between ship behavior patterns and different complexity levels of encounter scenarios. Experimental analysis using Automatic Identification System (AIS) data from Ningbo-Zhoushan Port reveals critical insights into maritime traffic dynamics. Results demonstrate that factors such as the number of ships and changes in ship topology over time significantly influence traffic complexity. Key findings highlight that in multi-ship encounter scenarios, ships collectively exhibit a relatively conservative behavior pattern, maintaining both a constant speed and steady course. As scenario complexity increases, ships demonstrate adaptive behaviors—notably reduced average speeds and increased turning frequencies, with a particular tendency towards starboard turns. These results will assist traffic management authorities in providing a scientific basis for decision-making, thereby optimizing navigational safety policies.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104427"},"PeriodicalIF":6.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510106","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

Understanding tourism travel behavior by combining revealed preference survey and mobile phone data

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-27 DOI: 10.1016/j.tra.2025.104408

Yigang Li , Enjian Yao , Yang Yang , Binbin Li

Tourism transportation is an indispensable element in tourism activities, serving as the premise for the emergence and development of tourism. Understanding the travel modes and path choice behaviors of tourists is the first step toward enhancing tourism transportation. An increasing amount of mobile phone (MP) data containing abundant information has been widely accumulated with the aid of information and communication technology. However, its limitations in capturing the travel modes of tourists and factors affecting their travel behavior (e.g., travel attitudes of travelers) restrict its further application. By contrast, revealed preference (RP) survey data collected through questionnaires include these factors. Nevertheless, from the perspective of dataset size, passive data sources such as MP data provide larger datasets than conventional questionnaire surveys (e.g., RP surveys). Therefore, this study proposes a set of new approaches for estimating the travel modes and path choices of tourists by combining the RP survey and MP data. The joint estimation of the two datasets based on a nested model structure with balanced parameters can adapt to different scales of the two datasets. Furthermore, we investigated tourists’ concerns regarding comfort and environmental protection and constructed a hybrid choice model (HCM) to quantify their impact. The travel process of tourists was more accurately reflected by introducing the stochastic transfer waiting time extracted from the MP data, and the performance of the estimation method was improved. The proposed model, findings, and discussion provide a basis for establishing policy measures, thereby contributing to improving the service quality and modal share of public transportation.

{"title":"Understanding tourism travel behavior by combining revealed preference survey and mobile phone data","authors":"Yigang Li , Enjian Yao , Yang Yang , Binbin Li","doi":"10.1016/j.tra.2025.104408","DOIUrl":"10.1016/j.tra.2025.104408","url":null,"abstract":"<div><div>Tourism transportation is an indispensable element in tourism activities, serving as the premise for the emergence and development of tourism. Understanding the travel modes and path choice behaviors of tourists is the first step toward enhancing tourism transportation. An increasing amount of mobile phone (MP) data containing abundant information has been widely accumulated with the aid of information and communication technology. However, its limitations in capturing the travel modes of tourists and factors affecting their travel behavior (e.g., travel attitudes of travelers) restrict its further application. By contrast, revealed preference (RP) survey data collected through questionnaires include these factors. Nevertheless, from the perspective of dataset size, passive data sources such as MP data provide larger datasets than conventional questionnaire surveys (e.g., RP surveys). Therefore, this study proposes a set of new approaches for estimating the travel modes and path choices of tourists by combining the RP survey and MP data. The joint estimation of the two datasets based on a nested model structure with balanced parameters can adapt to different scales of the two datasets. Furthermore, we investigated tourists’ concerns regarding comfort and environmental protection and constructed a hybrid choice model (HCM) to quantify their impact. The travel process of tourists was more accurately reflected by introducing the stochastic transfer waiting time extracted from the MP data, and the performance of the estimation method was improved. The proposed model, findings, and discussion provide a basis for establishing policy measures, thereby contributing to improving the service quality and modal share of public transportation.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104408"},"PeriodicalIF":6.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510749","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

Understanding urban parking satisfaction: Implications for curb space management using multicriteria analysis

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-27 DOI: 10.1016/j.tra.2025.104418

Mohammad Mahdi Ahmadian , Mostafa Khatami , Douglas Baker , Alexander Paz

This paper investigates factors influencing urban parking satisfaction with the aim of informing policies to enhance experience for residents and visitors. The study surveyed 391 respondents in Brisbane, Australia. Overall parking satisfaction was analyzed as a function of four key criteria: payment options, online services, congestion reduction, and parking availability. Findings reveal a clear dichotomy in satisfaction levels, with higher contentment observed in payment options and online services, contrasted by significantly lower satisfaction in congestion reduction and parking availability. Additionally, segmentation analysis indicates that app-only customers are significantly more satisfied with parking availability compared to those who primarily use meters. Based on these insights, several innovative strategies were proposed to enhance curb space management and reduce congestion, including leveraging smart technologies, adjusting delivery schedules, and adopting flexible curb use policies. These findings and recommendations may serve as a useful reference for other local government authorities facing similar urban mobility challenges. Similarly, multi-criteria analysis was an effective method in this study to analyze parking satisfaction.

{"title":"Understanding urban parking satisfaction: Implications for curb space management using multicriteria analysis","authors":"Mohammad Mahdi Ahmadian , Mostafa Khatami , Douglas Baker , Alexander Paz","doi":"10.1016/j.tra.2025.104418","DOIUrl":"10.1016/j.tra.2025.104418","url":null,"abstract":"<div><div>This paper investigates factors influencing urban parking satisfaction with the aim of informing policies to enhance experience for residents and visitors. The study surveyed 391 respondents in Brisbane, Australia. Overall parking satisfaction was analyzed as a function of four key criteria: payment options, online services, congestion reduction, and parking availability. Findings reveal a clear dichotomy in satisfaction levels, with higher contentment observed in payment options and online services, contrasted by significantly lower satisfaction in congestion reduction and parking availability. Additionally, segmentation analysis indicates that app-only customers are significantly more satisfied with parking availability compared to those who primarily use meters. Based on these insights, several innovative strategies were proposed to enhance curb space management and reduce congestion, including leveraging smart technologies, adjusting delivery schedules, and adopting flexible curb use policies. These findings and recommendations may serve as a useful reference for other local government authorities facing similar urban mobility challenges. Similarly, multi-criteria analysis was an effective method in this study to analyze parking satisfaction.</div></div>","PeriodicalId":49421,"journal":{"name":"Transportation Research Part A-Policy and Practice","volume":"194 ","pages":"Article 104418"},"PeriodicalIF":6.3,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143511298","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

The battery-swapping revolution: Exploring user preferences in electric micro-mobility sector

IF 6.3 1区工程技术 Q1 ECONOMICS

Transportation Research Part A-Policy and Practice

Pub Date : 2025-02-17 DOI: 10.1016/j.tra.2025.104416

Fan Zhang , Huitao Lv , Chenchen Kuai , Tao Feng

Battery swapping services (BSS) offer innovative solutions to address the challenges of charging, safety, and battery management for electric micro-mobility vehicles (EMVs), such as electric bicycles and mopeds. However, the preferences and willingness to pay (WTP) for BSS among EMV users remain uncertain. This study examines consumer preferences for battery-swapping versus rechargeable EMVs within the Chinese market, identifying key factors that influence user choices. We employ a Stated Preference (SP) approach combined with a hybrid choice model (HCM) to assess both the economic viability and psychological impacts, including risk perception and social influence. Key findings demonstrate a higher willingness to pay for battery-swapping EMVs due to reduced charging time and enhanced safety features. Specifically, consumers are willing to pay an additional $2.86 for each minute reduction in facility accessibility time and an additional $27.52 for the safety features of battery-swapping EMVs. Existing users of traditional EMVs show a strong preference for BSS, willing to pay an additional $97.86. Frequent riders, who are more cost-sensitive, prefer rechargeable EMVs and are willing to reduce their expenditure by $47.95. In contrast, long-distance riders value battery endurance and are willing to pay an additional $55.96 for battery-swapping EMVs. These findings deepen our understanding of consumer behavior and provide valuable insights for policymakers and manufacturers aiming to optimize EMV adoption strategies.

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