Case Studies on Transport Policy最新文献

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Modeling the impacts of COVID-19 on Arabian Gulf air transportation industry using multiple regression and Vector AutoRegression models

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-27 DOI: 10.1016/j.cstp.2025.101437

Sharaf AlKheder

COVID-19 pandemic appeared unexpectedly and spread globally, which influenced several sectors worldwide including air traffic that reached Kuwait at later stages. The main objective of this study was to analyze the consequences of the pandemic on such characteristics of air travel such as arriving and departing aircraft, passengers as well as freight. Identifying the impact of COVID-19 on these sectors was necessary to provide solutions to mitigate its effect. In this study, data about Kuwait’s air travel were obtained from the Civil Aviation department. Likewise, data on coronavirus status was collected from the official statistics. Two models were used to analyze the data: multiple regression and Vector AutoRegression. Results proved that the pandemic had significantly impacted on the airline industry except for arriving passengers and departing freight, for which no significant impact was found. To provide the appropriate solutions, a questionnaire was conducted requiring the responses of Kuwait International Airport employees. Based on questionnaire results, social distancing on aircraft, temperature testing of all passengers at departure and arrival gates and PCR (Polymerase Chain Reaction) testing for all passengers were the most popular solutions suggested.

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引用次数: 0

Does experience drive potential buyers away? The influence of consumption values, emotions and experience on the purchase of battery electric vehicles

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-23 DOI: 10.1016/j.cstp.2025.101436

Breda McCarthy , Diane Jarvis , Daniel Grainger

Consumption values influence consumer choices in many industries. However, prior experience does not appear to have been combined with consumption value theory to explain attitudes towards electric vehicles. According to consumption value theory, value is multi-dimensional and product choice is influenced by perceptions of utilitarian and emotional value. The objective of this study is to evaluate the extent to which perceived values, emotions and experience influence attitudes and purchase intentions. As a high involvement decision, car buying is generally considered from a utilitarian, cost-benefit perspective. By considering the emotional and experiential facets of decision making, this study contributes to the literature and extends the theory of consumption values. The findings are based on a survey of older, higher income car buyers (n = 340), a segment that might convert from conventional to battery electric vehicles. Data analysis consists of partial least squares structural equation modeling. The results show that anticipated emotions, contextual change, charging anxiety and hedonic value have a significant effect on attitudes, which drive purchase intentions. The results show that prior experience is a double edged sword: although prior experience weakens charging anxieties, it dampens emotions. Several recommendations for policy makers and practitioners are made to promote the diffusion of battery electric vehicles in Australia and other laggard markets.

{"title":"Does experience drive potential buyers away? The influence of consumption values, emotions and experience on the purchase of battery electric vehicles","authors":"Breda McCarthy , Diane Jarvis , Daniel Grainger","doi":"10.1016/j.cstp.2025.101436","DOIUrl":"10.1016/j.cstp.2025.101436","url":null,"abstract":"<div><div>Consumption values influence consumer choices in many industries. However, prior experience does not appear to have been combined with consumption value theory to explain attitudes towards electric vehicles. According to consumption value theory, value is multi-dimensional and product choice is influenced by perceptions of utilitarian and emotional value. The objective of this study is to evaluate the extent to which perceived values, emotions and experience influence attitudes and purchase intentions. As a high involvement decision, car buying is generally considered from a utilitarian, cost-benefit perspective. By considering the emotional and experiential facets of decision making, this study contributes to the literature and extends the theory of consumption values. The findings are based on a survey of older, higher income car buyers (n = 340), a segment that might convert from conventional to battery electric vehicles. Data analysis consists of partial least squares structural equation modeling. The results show that anticipated emotions, contextual change, charging anxiety and hedonic value have a significant effect on attitudes, which drive purchase intentions. The results show that prior experience is a double edged sword: although prior experience weakens charging anxieties, it dampens emotions. Several recommendations for policy makers and practitioners are made to promote the diffusion of battery electric vehicles in Australia and other laggard markets.</div></div>","PeriodicalId":46989,"journal":{"name":"Case Studies on Transport Policy","volume":"20 ","pages":"Article 101436"},"PeriodicalIF":2.4,"publicationDate":"2025-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Braving the elements: A time series analysis of e-scooter ridership assessing the impact of weather and seasonality across different climate regions

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-22 DOI: 10.1016/j.cstp.2025.101431

Craig Morton

The introduction of e-scooters sharing schemes represents the latest phase in the diversification of micromobility in urban environments. Municipal authorities in the United States have led the way with piloting e-scooters sharing schemes to consider how they are used and the impacts this has for the wider transport system. This paper reports a time series econometric analysis of the trip data derived from e-scooter pilots in Minneapolis, Louisville, and Austin which represent a climate gradient down the central United States. The analysis evaluates the link between ridership and prevailing weather conditions such as temperature, wind speed, precipitation alongside weather events such as thunder and fog. An autoregressive distributed lag model format is applied at both daily and hourly aggregations of e-scooter demand with specific attention paid to how consistent these models are across the three pilots.

The results indicate that demand in the subtropical climate of Austin is quite stable throughout the year while ridership in the more northern climes of Louisville and Minneapolis follows a seasonal profile of being high in summer and dropping off during winters. The parameters calculated for the meteorological elements for daily ridership are stable across the pilots, indicating that user response to weather conditions is reasonably consistent in different climates. Riders in Austin appear more willing to displace trips to attain better weather conditions, bringing trips forward when the temperatures are hotter and postponing trips when it is windy or raining. Hourly ridership models are less stable in terms of their results and require more focused research to further reveal their dynamics. Practical implications of these studies are that cities considering the introduction of e-scooter sharing schemes would benefit from examining demand patterns in similar climate regions to plan for suitable scales and seasonal operations.

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引用次数: 0

Coverage evaluation of public electric vehicle charging stations in Bangkok, Thailand using location-allocation model

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-21 DOI: 10.1016/j.cstp.2025.101435

Potsawat Oranpairoj , Ampol Karoonsoontawong , Kunnawee Kanitpong

Electric vehicles (EVs) have emerged as a promising solution to address environmental concerns. With the global rise in EV adoption, establishing an efficient and accessible charging infrastructure is crucial. Charging stations play a vital role in facilitating EV adoption by providing convenient locations for vehicle recharging. However, research assessing the effectiveness of charging stations in meeting EV users’ demands and ensuring their coverage in Thailand is limited. This study evaluates the distribution of public charging stations in Bangkok, Thailand, by analyzing spatial accessibility and considering access limitations and service capabilities. Location-allocation analysis in ArcGIS Pro is employed to assesses the coverage of existing charging stations relative to estimated charging demands. Questionnaire survey results, including EV model and charging behavior information, are used to determine capacity constraints of each charging station. The sensitivity analysis was also performed to highlight the impact of operating hours and SoC regain levels on demand coverage and station selection. Findings reveal that existing public charging stations generally meet the charging demand, but capacity and distribution need attention. Additional charging stations are necessary in specific sub-districts to effectively meet the growing demand, and coverage decreases when considering peak hour constraints, emphasizing the need for strategic expansion. The sensitivity analysis results imply that flexible service strategies and demand-responsive planning are essential to optimize the efficiency and accessibility of charging infrastructure.

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引用次数: 0

Impact of volcanic eruptions on flight routing

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-17 DOI: 10.1016/j.cstp.2025.101432

Mikio Takebayashi , Masamitsu Onishi , Katsuki Tobita , Masato Iguchi

This study investigates the impact of large volcanic eruptions on flight routing by analyzing case studies of the 2020 Taal volcanic eruption in the Philippines and the 2022 Bezymianny volcanic eruption in Far East Russia. The research examines flight trajectories before and after these eruptions, focusing on flight cancellations and rerouting patterns. Findings indicate that most flights adhered to advisories issued by the Volcanic Ash Advisory Center (VAAC) when determining whether to proceed, reroute, or cancel. However, variations in response were observed between in-flight adjustments and decisions made during landing or takeoff phases.

引用次数: 0

The effects of urban form on public transportation demand in a developing city

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-17 DOI: 10.1016/j.cstp.2025.101430

Maryam Hasanpour, Bilal Farooq

Rapid urban growth in developing cities alters urban form, which directly and indirectly impacts access to public transit. Therefore, to accurately predict future public transit usage in order to achieve a sustainable public transportation system, it is essential to understand how each urban form indicator influences demand. However, most previous research has focused primarily on the Global North or China. Therefore, this study aims to fill that gap by analyzing the effects of urban elements on public transportation demand in a developing city. To do so, after a comprehensive review of relevant studies, effective elements of urban form were identified. Then, using spatial statistical analysis, a database of the urban form and travel characteristics was assembled, and random forest regression was employed to examine the relationship of different urban form indicators with public transit usage. The model achieved a good fit and, using a game-theoretic interpretability technique revealed that most variables had consistent associations with the findings from studies in other parts of the world. However, a few variables exhibited different associations, such as distance to educational land use. Additionally, some variables had opposite associations depending on whether they were at the origin or destination of the trip, such as distance from the city center. Therefore, it is concluded that the impact of each factor on public transportation demand should be evaluated on a case-by-case and an origin–destination basis.

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引用次数: 0

Exploring entrepreneurial actions of logistics firms for achieving success: An application of entrepreneurial action theory

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-16 DOI: 10.1016/j.cstp.2025.101429

Lam Canh Nguyen , Minh Binh Chu , Huy Quang Truong , Huy Gia Dinh , An Thi Binh Duong

This paper explores how Entrepreneurial Action Theory (EAT) enhances our understanding of action development in logistics firms and enriches the knowledge of Critical Success Factors (CSFs) in the logistics sector. Adopting a qualitative approach, the study conducts in-depth interviews with 21 senior employees and managers from logistics firms in Vietnam. This study identifies five dimensions of CSFs and highlights the importance of knowledge in four key areas. Additionally, it identifies four key environmental changes that impact the success of logistics firms. The integration of these findings with EAT leads to a proposed theoretical framework explaining the entrepreneurial actions of logistics firms in their pursuit of success. The paper provides valuable insights into achieving success in the contemporary era and outlines appropriate actions for logistics firms.

引用次数: 0

Developing a serious game for the 15-minute neighbourhood transition: Lessons learned from an expert workshop

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-14 DOI: 10.1016/j.cstp.2025.101428

Kelt É. Garritsen , Anna B. Grigolon , M. Baran Ulak , Karst T. Geurs , Lars Bodum , Andrea Victoria Hernández Bueno , Tom Børsen

Popularity of the 15-minute city concept has been increasing in recent years. The concept is seen as a way to improve accessibility, sustainability, and liveability; however, there are knowledge gaps in finding successful pathways for its implementation. For instance, there is scarce research on the barriers and needs of different population groups for the uptake of the 15-minute city concept. The contribution of this study is to investigate how a serious game focused on 15-minute neighbourhoods can be developed as a tool to eventually contribute to the co-creation of neighbourhoods. For this, a serious game was developed and experimented with during an expert workshop, where four teams played the game and designed a 15-minute neighbourhood. The workshop’s results show how the developed game could potentially help stakeholders and civil society, such as researchers or municipalities, understand citizens’ perspectives. However, the game as is needs future adaptations to fit the local context of players better and have an impact on the co-creation of neighbourhoods. When applied with real stakeholders in real urban settings, the game could contribute to real-world co-creation processes to give citizens a voice to share their needs within the development of 15-minute neighbourhoods.

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引用次数: 0

Canceled trips and modified routes: Electric vehicle user behavior in Ecuador

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-14 DOI: 10.1016/j.cstp.2025.101426

Manuel A. Zambrano-Monserrate , Naila Erum

While many studies have examined the variables driving electric vehicle (EV) adoption, little attention has been paid to the factors influencing daily decisions of EV users. This paper investigates the factors affecting canceled trips and modified routes among EV drivers in Ecuador, offering insights from a developing country context. Key variables, including range anxiety, perception of charging infrastructure, vehicle range, usage frequency, and sociodemographic characteristics, are analyzed. Using a negative binomial model on a sample of 1,249 EV users, the findings reveal that range anxiety and perception of charging infrastructure significantly influence both canceled trips and modified routes. Additionally, greater vehicle range and higher usage frequency reduce the likelihood of modifying routes or canceling trips. Gender also plays a role: men are less likely to cancel trips as vehicle range increases. These findings provide valuable policy insights.

引用次数: 0

Airport capacity prediction and optimal allocation for strategic air traffic flow management at Sao Paulo/Guarulhos International Airport

IF 2.4 Q3 TRANSPORTATION

Case Studies on Transport Policy

Pub Date : 2025-03-13 DOI: 10.1016/j.cstp.2025.101414

Rafael Mariano dos Santos, Mayara Condé Rocha Murça

Demand–capacity imbalances are a major cause of inefficiencies in the air transportation system, accounting for a significant part of flight delays and disruptions. Efficiently addressing these imbalances through air traffic flow management is key for improving system performance. If taken at the strategic level, flow management decisions have the potential to increase operational predictability and reduce costs for airspace users by transferring expected delays to the ground before departure, where it is safer and cheaper to absorb them. However, strategic flow management planning is a challenge for traffic managers due to the stochastic and dynamic nature of airport and airspace capacity. This paper leverages machine learning and optimization methods to develop a decision support framework for strategic air traffic flow management at Sao Paulo/Guarulhos International Airport (GRU) in Brazil. First, an airport capacity prediction model is learned from historical meteorological and throughput data. Random Forests is used in a regression setting for the supervised learning problem, being able to provide not only a point prediction of arrival capacity but also an empirical predictive distribution based on the Quantile Regression Forests approach. An analysis of feature importance reveals that ceiling and convective weather are the most important factors affecting arrival capacity at GRU. A stochastic optimization model for capacity allocation is then used to prescribe the optimal airport acceptance rates for Ground Delay Program planning based on the capacity forecasts and their estimated uncertainty. When applied to an actual test case of demand–capacity imbalance at GRU, the solution provided by the framework is found to generate a reduction in total delay costs of up to 10%, revealing an improvement over the current practice solely based on tactical airborne delays.

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