Case Studies on Transport Policy最新文献

{"title":"The effect of private investment on landlord port authorities’ cost efficiency: The Spanish case","authors":"Soraya Hidalgo-Gallego,&nbsp;Ramón Núñez-Sánchez","doi":"10.1016/j.cstp.2025.101474","DOIUrl":"10.1016/j.cstp.2025.101474","url":null,"abstract":"<div><div>This article examines the impact of private investments in port facilities and equipment on the cost efficiency of Spanish port authorities operating under the landlord model. Using panel data from 26 Spanish port authorities between 2001 and 2018, we estimate a short-run variable cost frontier based on <span><span>Wang’s (2002)</span></span> normal-truncated normal stochastic frontier model. This method allows the cost inefficiency component to depend on exogenous covariates, including private investment, traffic concentration, and port reforms. Our findings indicate that higher private investment and traffic concentration are associated with lower cost inefficiency. However, the efficiency gains from private investment have diminished since the enactment of Law 33/2010, with diminishing marginal returns at higher investment levels.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101474"},"PeriodicalIF":2.4,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Qatar’s success story during FIFA world Cup 2022: Role of travel demand management and impact on travel behavior","authors":"Anas Mohammed ,&nbsp;Muhammad Sultan Shah ,&nbsp;Wael Alhajyaseen ,&nbsp;Mohammed Alqaradawi ,&nbsp;Belal Edries ,&nbsp;Shahram Tahmasseby","doi":"10.1016/j.cstp.2025.101469","DOIUrl":"10.1016/j.cstp.2025.101469","url":null,"abstract":"<div><div>The FIFA World Cup Qatar 2022 (FWC2022) presented transportation challenges for host cities, prompting Qatar to implement extensive Travel Demand Management (TDM) measures. This study evaluates the effectiveness of these strategies in managing travel demand and influencing resident behavior during the event, offering valuable insights for future urban mobility initiatives. Utilizing a mixed-methods approach that combined quantitative public transport ridership analysis with qualitative resident surveys. We observed a 73% increase in metro ridership and a reduction of 2.8 car trips per week, demonstrating a shift in travel preferences during the FIFA World Cup 2022 (FWC2022). Public transport fare discounts (60% rated highly influential) and temporary school closures (62%) were particularly effective. The findings indicate that 66% of respondents expressed a willingness to maintain their travel changes post-FWC2022 if TDM measures, like lower fares and extended public transport hours, continue. The scalability of these insights to other developing countries is promising, as many urban areas face similar challenges, including congestion and inadequate public transport. The FWC2022 experience highlights the importance of context-specific TDM strategies that consider local demographics and infrastructure. By fostering a culture of sustainable mobility, cities can adopt flexible approaches to accommodate unique commuting patterns and improve transport systems for future mega-events. Our study acknowledges limitations, including the exclusion of tourist behavior and reliance on self-reported data, which highlights the need for further research to include pre-post studies and more objective data collection methods. Future work should also explore promoting alternative transportation options and develop mobility strategies tailored to distinct population segments.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101469"},"PeriodicalIF":2.4,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143916888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the multiscale relationship between the built environment and metro station ridership","authors":"Achira Karawapong ,&nbsp;Ampol Karoonsoontawong ,&nbsp;Kunnawee Kanitpong","doi":"10.1016/j.cstp.2025.101466","DOIUrl":"10.1016/j.cstp.2025.101466","url":null,"abstract":"<div><div>Accurately estimating passenger volume is essential for metro station planning. The number of station-level ridership is a crucial variable to capture relationships with land use factors surrounding metro stations. Understanding different metro station characteristics with their significant built environment factors from a local perspective is vital for transportation agencies. Previous studies assumed that the relationships between passenger volume and independent variables are described by global or local models separately, ignoring spatial scale. In this study, the multiscale geographically weighted regression (MGWR) is employed to address spatial autocorrelation issues found in ordinary least squares (OLS) regression and previous versions of geographically weighted regression (GWR) by adjusting the bandwidth for each variable (spatial scale). The Bangkok metro ridership data were collected from automated fare collection (AFC) in June 2019. Employed explanatory factors include land-use-related points of interest (POIs), intermodal transportation attributes, and network structure, including centrality analysis. The OLS, GWR and MGWR models were estimated and compared. We found that the MGWR model, which reveals spatial heterogeneity and scale effects, provides better goodness of fit based on the residual sum of squares, R-squared, and AIC compared than the other models. The eight variables that have significant positive correlations with the ridership demand are commercial POI, attraction POI, residential POI, industrial POI, degree centrality, betweenness centrality, terminal station, and feeder transport variable. By K-means clustering, the Bangkok metro stations were classified into five groups based on their influenced built environment factors. The estimated coefficients of each station provide local insights to determine Bangkok’s functional land use policy promoting the usage of metro service.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101466"},"PeriodicalIF":2.4,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative study of the economic effects of the built and under construction metro stations on the surrounding environment","authors":"Javad Imani Shamloo ,&nbsp;Mohammad Reza Ezzati Mehr ,&nbsp;Yusef Khayyami ,&nbsp;Sahar Saedi","doi":"10.1016/j.cstp.2025.101461","DOIUrl":"10.1016/j.cstp.2025.101461","url":null,"abstract":"<div><div>With the development of cities, the need for transportation also increases; Public rapid transportation is one of the important criteria in urban life. Metro, as one of the modes of public transportation, in addition to affecting the urban transportation sector, can affect other different aspects of the city. The present study evaluates the effects of metro stations in Tabriz city on the value of surrounding residential lands. For this purpose, the value of residential land is evaluated as a research variable. The collection of information is library and field type. To analyze data, Pre/Post, Linear trend line analysis (LTL), and Difference in Difference techniques have been used. According to the results of the analyses carried out in the present research, it can be acknowledged that in general, the trend of land value increase in the area around the stations has been positive during different years, but the intensity of the effects of each of the stations on the area around them is different. So that the effects of the operated metro stations on the value of the surrounding lands are positive, but it is negative in the area of the stations under construction.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101461"},"PeriodicalIF":2.4,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards vehicle miles traveled reduction: Impact of mileage-based user fee on travel mode choices","authors":"Daud Nabi Hridoy ,&nbsp;Rifa Tasnia ,&nbsp;Venktesh Pandey ,&nbsp;Md Sami Hasnine","doi":"10.1016/j.cstp.2025.101454","DOIUrl":"10.1016/j.cstp.2025.101454","url":null,"abstract":"<div><div>Mileage-based user fee (MBUF) could be a potential solution to reduce the gap in current transportation funding. Though previous studies comprehensively discussed the impact of implementing MBUF on equity, privacy, and emissions, little attention has been given to the potential change in travelers’ mode choice behavior. This paper presents a framework to understand individuals’ mode choice behavior, considering the impact of MBUF. The empirical data for this paper is obtained through “Survey to Understand the Impact of MBUF on Travelers Choice (SUMTC)” which took place in April, 2024, in the North Carolina State. This web-based survey has two components: revealed preference (RP) and stated preference (SP), where the SP survey is designed to capture the influence of MBUF through hypothetical scenarios. Furthermore, this paper uses descriptive statistics and joint RP-SP discrete choice models to understand individuals’ mode preferences and the impact of MBUF on them for different trip purposes. The findings from the estimated models indicate that individuals are less likely to prefer motorized modes with the increased rate of MBUF. Full-time workers show more sensitivity towards MBUF for work trips, whereas college students are more sensitive to MBUF for recreational trips. Older adults show less sensitivity to MBUF than younger individuals. Older adults are more sensitive to MBUF for work trips, and young individuals are more sensitive to MBUF for work and grocery/shopping trips. The results reveal that increased fuel cost, parking/toll/admin cost, bus fare, and delays reduce the attractiveness of drive alone, carpool, and transit.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101454"},"PeriodicalIF":2.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Korean commuters’ acceptance of MaaS through the UTAUT framework","authors":"Shinwoo Back ,&nbsp;Minjung Shon ,&nbsp;Junseok Hwang","doi":"10.1016/j.cstp.2025.101464","DOIUrl":"10.1016/j.cstp.2025.101464","url":null,"abstract":"<div><div>MaaS is receiving more attention recently as it is beneficial for users not only because of the convenience of using various transportation means but also because of the convenience of making reservations and payments simultaneously, and getting all the traffic information on one app. The concept of MaaS is also being highlighted as it can provide a solution for the traffic problems caused by the rapid increase in urbanization and the number of automobiles, and its related research and pilot programs are being widely promoted and implemented in Europe. However, in Korea, the qualitative research on MaaS is insufficient for its introduction. To make MaaS viable and to commercialize it, research to increase the competitiveness of MaaS from the perspective of the users is required. Therefore, this study analysed the user acceptance of MaaS by integrating Public Transportation (PT) with smart mobility services in an early stage in Korea.</div><div>Using the Unified Theory of Acceptance and Use of Technology (UTAUT), this study empirically analysed and obtained the results to determine the user intentions to continue the use of MaaS in Seoul. The following independent variables were selected: Performance Expectation (PE), Effort Expectation (EE), Social Influence (SI), Individual Innovation (II), and Environment Concern (EC). To understand the commuting characteristics, we restricted our survey to people who commute regularly by their own cars or PT in metropolitan areas of Korea for a total of 529 participants. Market penetration strategies for early MaaS development in Korea should focus on providing key conveniences such as real-time information, integrated reservations, and payments, which users value most. EC and SI significantly impact users’ intention to adopt MaaS, suggesting that highlighting eco-friendliness and leveraging public opinion can boost adoption. Additionally, users with smart mobility experience show higher acceptance, indicating that partnerships with smart mobility services and tailored offerings could accelerate market growth.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101464"},"PeriodicalIF":2.4,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated data collection and modeling with freight origin–destination synthesis: Application to Bangladesh","authors":"José Holguín-Veras ,&nbsp;Lokesh Kumar Kalahasthi ,&nbsp;Abdelrahman Ismael ,&nbsp;Wilfredo F. Yushimito ,&nbsp;Matías Herrera-Dappe ,&nbsp;Md. Shamsul Hoque","doi":"10.1016/j.cstp.2025.101456","DOIUrl":"10.1016/j.cstp.2025.101456","url":null,"abstract":"<div><div>This paper reports the research conducted on developing and implementing a national freight demand model for Bangladesh based on Integrated Data Collection and Modeling with Freight Origin-Destination Synthesis (IDCM-FODS). The approach developed in this paper seeks to minimize the cost and time spent on model development by exploiting the power of clever data collection and modeling without sacrificing the quality of the work. The approach has two major components: (1) Integrated Data Collection and Modeling (IDCM), intended to estimate the freight generation (both production and attraction) and freight trips, using a targeted survey sample of commercial establishments to estimate econometric models that are then applied to national statistics to estimate freight generation and freight trip generation; (2) Analyze freight generation across various economic metrics and (3) Freight Origin-Destination Synthesis (FODS) models, both generic commodity and multi-commodities, to infer freight flows and calibrate a freight distribution model, and a vehicle-trip model (considering both loaded and empty trips) that minimizes the errors between the modeled and observed traffic in the network. The paper discusses background information about Bangladesh, the data used in the research effort, the process to conduct the survey and estimation of the econometric freight generation models, the use of these models to obtain freight generation estimates countrywide, the FODS models obtained, and the chief conclusions of the overall effort. This research demonstrates the potential of IDCM-FODS methods to develop freight models in environments with limited data availability.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101456"},"PeriodicalIF":2.4,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multi-Objective model for shared-ride automated services: Reducing the price of anarchy through centralized matching","authors":"Min-Ci Sun,&nbsp;Luca Quadrifoglio","doi":"10.1016/j.cstp.2025.101462","DOIUrl":"10.1016/j.cstp.2025.101462","url":null,"abstract":"<div><div>The rise of Automated Mobility-on-Demand (AMoD) services, such as Waymo and Zoox, has transformed urban mobility. However, the growing demand and expanding robotaxi fleets have the potential to exacerbate congestion. This study introduces a novel centralized ride-matching procedure to enhance the scheduling efficiency of Shared-Ride Automated Mobility-on-Demand Services (SRAMODS). The proposed multi-objective adaptive model addresses the perspectives of on-site, in-vehicle riders, and robotaxi operators by minimizing on-site waiting time, in-vehicle travel duration, and detour distance at each pairing epoch. The proposed model dynamically matches riders within each epoch, with each robotaxi accommodating up to 4 riders simultaneously. A case study using Chicago demand data demonstrates that different weighting distributions lead to distinct matching outcomes, and a balanced weighting across all objectives minimizes the total time spent. Compared to traditional decentralized ride-matching, SRAMODS reduces the price of anarchy—measured as distance traveled per rider—by up to 15%, highlighting the benefits of centralized control. These findings provide policy insights to encourage shared robotaxi adoption through centralized coordination, improving urban mobility while reducing operational inefficiencies and congestion.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101462"},"PeriodicalIF":2.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143913311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling Inequalities in the gig Economy: Analyzing driver earnings in Toronto’s ridehailing industry","authors":"Mischa Young ,&nbsp;Steven Farber ,&nbsp;Mashrur Rahman","doi":"10.1016/j.cstp.2025.101463","DOIUrl":"10.1016/j.cstp.2025.101463","url":null,"abstract":"<div><div>This study examines the net earnings of transportation network company (TNC) drivers in Toronto, using a comprehensive dataset of 84 million TNC trips conducted between January 2023 and April 2024. By integrating trip data with vehicle-specific information, the analysis offers a comprehensive view of driver earnings both before and after expenses. Findings reveal that in 2023, median gross earnings per engaged hour were $33.52, but net earnings dropped to $15.31 after deducting expenses, leaving 57% of drivers earning less than the provincial minimum wage of $16.55. When all in-app time is considered, net earnings declined further, with median earnings of $7.94 per in-app hour in 2023 and $5.97 in 2024, resulting in over 95% of drivers earning below minimum wage. These findings highlight systemic issues in the TNC industry, including prolonged unpaid waiting periods for ride assignments and significant variability in operating costs. We explore policy solutions such as utilization rate targets and minimum pay standards, alongside improvements to the data collection process, to better ensure fair wages for TNC drivers. By uncovering the prevailing wage conditions in the TNC industry, this research underscores the urgent need for proactive regulatory measures to enhance working conditions for TNC drivers in Toronto.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101463"},"PeriodicalIF":2.4,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green transport measures at the ballot box: The role of Low Traffic Neighbourhoods in the 2022 London local elections","authors":"Jamie Furlong ,&nbsp;Athena Brook ,&nbsp;Rachel Aldred ,&nbsp;Charlie Hicks","doi":"10.1016/j.cstp.2025.101459","DOIUrl":"10.1016/j.cstp.2025.101459","url":null,"abstract":"<div><div>Like many green transport policies that restrict car use, England’s Low Traffic Neighbourhoods (LTNs) have been controversial, with some schemes removed amidst local backlash and fervent online debate. Although overt policymaker support may facilitate LTN implementation, evidence on any electoral consequences remains limited. This paper combines electoral data with Twitter data on councillors’ tweets and stances on LTNs, based on sentiment analysis. It uses these two datasets to examine how tweeting about and/or publicly supporting LTNs affected the probability of incumbent Labour councillors being re-elected and the change in their relative vote shares at the 2022 London local elections. Using regression analysis, we find that neither tweeting at all about LTNs nor tweeting positively about LTNs reduced London Labour councillors’ relative vote shares, nor their chances of being re-elected. Rather, we found tentative evidence of a positive, albeit weak, electoral impact of tweeting positively about LTNs. Despite controversy and local exceptions, engaging positively on Twitter about LTNs seems not to have been politically damaging for incumbent Labour councillors. This is an important finding given the ongoing likely use of social media to build support for contentious but effective environmental policies.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101459"},"PeriodicalIF":2.4,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143881447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}