Case Studies on Transport Policy最新文献

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Evaluating the effectiveness of automated scheduling at rural transit agencies in north carolina

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-27 DOI: 10.1016/j.cstp.2025.101381

Matthew Wigginton Bhagat-Conway , Luke Pullo , Kai Monast

Demand-response transit is the backbone of many rural transit systems. Demand-response transit provides riders with curb-to-curb service, not following fixed routes or schedules. While automated and semi-automated demand response scheduling has existed for decades, many agencies create schedules manually, using some form of computer-assisted schedule management. However, some transit agencies have recently adopted “microtransit” scheduling software packages that place an increasingly strong focus on fully automating the creation of schedules, and providing same-day service. In this article, we evaluate the recent implementation of automated scheduling software at two rural agencies in North Carolina.

We visited both agencies and conducted in-depth observations of their scheduling staff’s use of the software, as well as interviews with management. We found that neither agency used automated scheduling features of their software extensively. There were two main reasons for this. Firstly, automated scheduling was not seen as necessary; schedulers are experts on their regions and customers, and can create efficient schedules manually. Secondly, automated scheduling did not always match the service pattern of the agency, for instance by insufficiently prioritizing shared rides.

Agencies considering software purchases should consider what their needs and desires for a microtransit or automated scheduling system are. This process should involve both management and scheduling staff, to ensure the purchased system meets the needs of the agency. Automated scheduling and microtransit systems may not be a good fit for all agencies, particularly if existing scheduling practices are already working well.

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引用次数: 0

Simulating the uptake of electric motorized two-wheelers in Italy. An agent-based model parametrized with a discrete choice experiment

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-26 DOI: 10.1016/j.cstp.2025.101382

Mariangela Scorrano, Romeo Danielis

Electric motorized two-wheelers (e-M2Ws) have the potential to reduce noise and air quality in urban environments. The paper develops an agent-based model, parametrized with a discrete choice experiment, to forecast e-M2Ws’ uptake in Italy. The application considers two market segments: mopeds and (seated) scooters. A scenario analysis is performed assessing the e-M2Ws prospects in different technological and policy scenarios. We find that electric mopeds enjoy a higher consumers’ acceptance than electric scooters. Our model predicts that they might play a relevant role in most scenarios, achieving in 2030 a market share ranging between 21.1 % and 44.2 %. On the contrary, electric scooters have much poorer prospects, achieving in 2030 a maximum of 5.5 % market share.

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Understanding the influence of fare reduction on public transport adoption: A study of Lisbon, Portugal

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-26 DOI: 10.1016/j.cstp.2025.101383

Kelli Silver , André Lopes , David Vale , Nuno Marques da Costa

In Lisbon, a fare reduction policy was implemented with the stated aim of attracting passengers to public transport while combating the negative externalities associated with car usage. However, no external assessment has yet gauged whether fare reduction effectively influenced public transport adoption. This paper evaluates the impact of fare reduction on public transport pass purchasing behavior as a proxy for public transport adoption and overall ridership. It employs a Random Forest machine learning model to explore the factors influencing pass purchasing and the heterogeneity of preferences among different groups. Primary data comes from a survey of over 1,000 Lisbon residents on transport expenditures and daily travel patterns. The findings reveal that fare reduction has a positive, yet limited, effect on public transport pass purchasing. Of those who did not previously purchase a pass, 27% started buying a Lisbon Navegante pass after the reform. Moreover, beyond potential savings, demographic characteristics like age, income, and gender, as well as behavioral patterns such as previous modal choice, significantly affect the likelihood of purchasing a public transport pass. While acknowledging the positive impact of fare reduction, the paper argues that fare reduction alone is unlikely to drive significant public transport adoption or a meaningful shift away from car use in Lisbon. It underscores the need for policymakers and urban planners to consider a broader spectrum of factors that shape travelers’ preferences and behavior.

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引用次数: 0

Development of emerging solution for distracted driving: A random parameter ordered probit model approach

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-25 DOI: 10.1016/j.cstp.2025.101379

Thanapong Champahom , Chamroeun Se , Savalee Uttra , Wimon Laphrom , Sajjakaj Jomnonkwao , Vatanavongs Ratanavaraha

Distracted driving is a major contributing factor to highway crashes, with cell phone use while driving (CPUD) representing one of the most visible and problematic forms of distraction. This study examines key factors influencing CPUD, including health motivation, perceived susceptibility, perceived severity, perceived benefits, perceived usefulness, perceived ease of use, attitude toward use, and law enforcement. A Random Parameters Ordered Probit Model with heterogeneity in means was applied to data collected through structured, face-to-face interviews with 1,518 Thai drivers. Respondents were recruited from public locations in five regions—Bangkok Metropolitan Region, Central, Northeastern, Northern, and Southern—each providing approximately 300 participants. The findings suggest that although all factors influence CPUD, health motivation, and perceived severity exert the strongest discouraging effects. Additionally, the “attitude toward use” factor emerged as a random parameter, indicating substantial individual-level variability in drivers’ perceptions and engagement in CPUD. Based on these results, evidence-based policy measures are recommended to strengthen law enforcement and enhance public awareness campaigns. The study also proposes specific guidelines for incorporating CPUD-reduction strategies into driver’s license training programs, offering particular relevance for low- and middle-income countries facing similar road safety challenges.

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引用次数: 0

Evaluating the congestion-reducing effects of road rationing policy: Evidence from Jakarta’s odd-even policy

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-25 DOI: 10.1016/j.cstp.2025.101380

Muhammad Halley Yudhistira , Regi Kusumaatmadja , Yusuf Sofiyandi , Mochammad Firman Hidayat

Travel demand restriction policies are becoming popular to reduce traffic jams in heavily congested urban areas. This paper evaluates the short-term impact of the odd–even number plate policy – a form of travel demand restriction –using Google Maps data on traffic congestion in Jakarta, one of the world’s most congested cities. The estimation result of hourly travel time data at road section levels shows that the odd–even policy statistically significantly reduced travel time by 3.0%, on average, during the first month of its implementation. The effect was higher – about 10% during the weekend and the weekly afternoon peak hours. The estimates were robust across various specifications, and no effect was found when looking for travel speed changes in untreated parts of the road network. This study also suggests that road users are likely to depart early in the morning to avoid the policy. The effect seems stagnant after the fourth week of the policy’s introduction. This study suggests that the odd–even number plate policy alone would be ineffective for the traffic congestion reduction agenda in Jakarta’s urban environment.

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引用次数: 0

Analysing bus users’ perceptions of service quality during the COVID-19 pandemic. A case study of Gran Canaria (Spain)

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-21 DOI: 10.1016/j.cstp.2025.101378

Raquel Espino

The study examines service quality perceptions among bus users during the COVID-19 pandemic. The analysis uses a survey to gather insights, including a section focused on defining statements to identify latent variables related to COVID protocols for bus services. The identification of these latent variables is carried out through a Principal Component Analysis (PCA) that identifies three latent variables. An ordered logit model is estimated to analyse the effect of the variables considered for the assessment of bus service quality. The results indicate that the bus service quality was perceived as good or very good by bus users during the pandemic. The most influential variables include two of the three identified latent variables, along with age and gender. Drawing from these findings, the establishment of specific protocols for public transport has proven effective in maintaining service quality, as perceived by bus users.

引用次数: 0

Sayonara pandemic, Konnichiwa new normalcy: An analysis of Japanese aviation with COVID-19

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-20 DOI: 10.1016/j.cstp.2025.101371

Xiaoqian Sun , Changhong Zheng , Shinya Hanaoka , Anming Zhang , Sebastian Wandelt

The purpose of our research is to identify the development of the Japanese aviation system throughout the COVID-19 pandemic, covering the evolution towards the onset of COVID-19, the peak of the impact, and the endemic recovery. Our study is based on two distinct methodologies, being a combination of data science and network science, based on data for the period from the year 2019 to the year 2023. We delineate Japan’s development in contrast to other countries, showcasing how this important country managed to go through the devastating impact of COVID-19. In addition, we provide an outlook on the extent to which Japan’s endemic role in international aviation might differ compared to pre-COVID-19 times. Our study is complementary to existing work in discussing the whole period with COVID-19 and laying a focus on the domestic/international connectivity evolution.

引用次数: 0

A solid waste recycling vehicle routing optimization model under online appointment-based mode using MOACO-ET algorithm

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-20 DOI: 10.1016/j.cstp.2025.101373

Cuiying Song , Shiwei Chen

Solid waste (SW) recycling is essential to preserving the environment and lowering pollution. Countries around the world promote their residents to participate in SW recycling. This study proposes an online appointment-based SW recycling mode to overcome the limitations of traditional recycling ways, such as limited coverage, low efficiency, and the uncertainty of customer recycling times. Combined with this mode, we build a multi-objective optimization model aimed at finding the optimal vehicle routes within each customer’s acceptable time window, with the goals of reducing operating costs of the recycling industry and customer dissatisfaction with recycling services. A multi-objective ant colony optimization algorithm based on elite thought (MOACO-ET) is designed to solve the suggested model, seek balance among multiple objectives, search for diversified Pareto optimal solutions, and provide flexible and adaptive solutions. To verify the effectiveness of the proposed model and the performance of the MOACO-ET algorithm, a comparative analysis is conducted with the Max-Min Ant System (MMAS) in a case study. We find that MOACO-ET algorithm exhibits better convergence and search performance, customer dissatisfaction can be decreased by 47.58%, and average operating costs and total vehicle mileage are reduced by 2.02% and 2.67%, respectively. This study combines multi-objective optimization with the MOACO-ET algorithm to propose an effective solution for optimizing the collection and transportation routes of recycling vehicles. This approach helps improve SW recycling efficiency, reduce transportation costs, enhance service quality, and promote sustainable development.

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引用次数: 0

A feedback-guided analysis of environmental, health and socio-economic factors affecting drivers’ willingness to shift to e-jeepneys

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-18 DOI: 10.1016/j.cstp.2025.101369

C. Kendra Gotangco Gonzales , Katrina Abenojar , Carlos Rosauro Manalo , Melliza Templonuevo Cruz , Maria Obiminda Cambaliza , James Bernard Simpas , Imee Delos Reyes , John Wong , Bernell Go , Krizelle Cleo Fowler , Rene Marlon Panti , Emma Porio , Jean Jardeleza Mijares

The Jeepney Modernization Program involves the replacement of traditional jeepneys with more efficient alternatives, including modern enclosed electric vehicles, alongside operational improvements to the public transportation system. This study aims to assess the environmental, health and socio-economic factors impacting drivers’ willingness to shift to e-jeepneys. Feedback-Guided Analysis was used as a framework for designing an interdisciplinary approach towards understanding the decision-making paradigms of drivers plying a specific route in Quezon City, Metro Manila. Measurements of drivers’ exposure to PM_2.5 and associated health parameters were complemented by key informant interviews delving into income, expenses, valuation of benefits and decision-making paradigms. A stock-and-flow model integrated the data to quantify costs and benefits of conventional vs. electric jeepney drivers. Results show that conventional jeepney drivers are unlikely to shift to electric vehicles if the projected take-home pay does not support daily expenses, despite the additional benefits of the modernized system including lower exposure to PM_2.5. Of the daily wage scenarios tested, only the highest at Php 900/day met the threshold for drivers’ needs. The socio-economic feedback in terms of take-home pay dominated over the health and environmental feedback on worldviews. Understanding these stakeholder contexts and priorities is a crucial step towards building trust, co-developing interventions, and overcoming barriers to policy implementation.

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引用次数: 0

Developing the Reversed TOD index for unstructured TOD: The case study of Bangkok metro

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-01-17 DOI: 10.1016/j.cstp.2025.101366

Kitiphan Nutayakul, Waressara Weerawat

The Bangkok metro system has yet to be improved by TOD mainly due to limited analysis of the effects of TOD influencing factors and measuring tools. This research examined specific criteria and indicators that represent TOD barriers. The Reversed TOD Index was developed for 24 stations on Bangkok metro lines to enable TOD practitioners to quantitatively measure the existing levels of unusual TOD characteristics. This is an effective measurement to explain the actual fabric of TOD barriers affecting station performance which previous TOD measurements are unable to provide. The TOD typologies of the Bangkok Metropolitan Administration (BMA) and opinions of all stakeholder groups were also integrated. The results show uncompromising interactions between TOD barriers and designated typologies. The Reversed Index shows that 40.6–55.7% of TOD barriers are impeding the TOD-ness at each station. Land price is the most concealed indicator for sensitivity analysis. However, the existing TOD barriers in urban areas can be improved against existing urban sprawl. This case study results in extensive transferability and comparisons between developing cities where similar TOD barriers are present.

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Case Studies on Transport Policy

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