Transportation Choices Research Articles

Combined Revealed- and Stated-Preference Survey to Understand the Impact of Multi-Source Real-Time Information on Travel Mode Choice

This study presents a combined revealed preference (RP) and stated preference (SP) survey to understand travelers’ mode choices under the influence of real-time information for different activity types and trip lengths. The D-efficient method is adopted to generate SP scenarios. The empirical data for this study came from a “Survey to understand the impact of ICT on transportation choices” (SUIT; ICT = information and communication technology), conducted in July 2023 in the Washington, DC metro area and the Charlotte metro area, North Carolina (NC), USA A combined RP–SP multinomial logit and mixed logit model (MxL) capturing the error components have been estimated based on the collected data. The model results reveal that daily parking costs significantly impact individuals’ mode choices and tend to discourage driving. Furthermore, real-time information such as the availability of parking spaces at workplaces and metro stations encourages people to prefer drive and park & ride modes. Conversely, information on flash flooding alerts, road closures, and road accidents discourages people from driving, riding as auto-passengers, or taking a transportation network company (TNC) (Uber/Lyft) for trip purposes. Lastly, information on reduced waiting time and disruption plays a significant role in selecting transit and park & ride modes. The results obtained from this study can be beneficial to policymakers when assessing or designing alternative sustainable modes in the presence of real-time information. As its policy finding, the study recommends that transit disruption should be handled carefully to retain loyal customers and achieve various sustainability goals. In the event of transit disruption, alternative sustainable transportation modes should be offered to transit riders.

EXPRESS: Tourist Uncertainty Premium for Intra-destination Public Transport: A Context-specific Hybrid Choice Model

Limited attention has been paid to intra-destination transportation in tourism research, particularly the incorporation of contextual factors into tourist transport choices. Taking Hong Kong as an illustrative case, this research adopts a mixed-method approach involving on-site interviews and choice modelling to investigate the facilitating and inhibiting determinants for public transport decisions and describe tourist attribute trade-offs across diverse transport scenarios. The results reveal that, apart from typical modal attributes, tourist intolerance for transport uncertainty hinders public transport adoption, resulting in a sizable average “uncertainty premium”. This issue is especially serious among female and highly educated tourists. The proposed context-specific hybrid choice model provides a template for urban tourism destinations to validate and quantify the impact of tourist uncertainty intolerance in intra-destination transport decision-making.

Mobility as a Service (MaaS) bundle uptake: a case study in Milan, Italy

Recent applications of Mobility as a Service (MaaS) platforms have highlighted certain limitations in accurately identifying integrated mobility packages (MaaS bundles) that align with users’ needs and preferences while also supporting the financial viability of businesses. This study explores the interest of university community members in adopting and paying for MaaS bundles, aiming to determine whether their preferences differ from those of the general population commonly analyzed in existing research. The research method involved the design and administration of a survey instrument, resulting in 1949 completed computer-assisted web interviews collected between May and June 2023. The willingness to pay (WTP) for different MaaS bundles was estimated based on users’ responses to stated preference choice tree experiments. Results reveal that 45.2% of respondents showed no interest in any proposed MaaS bundle, 29.5% towards only one specific MaaS bundle. Conversely, 25.3% of respondents expressed interest in two or more MaaS bundles. Public transport (PT) pass holders showed a higher WTP for MaaS bundles compared to PT pass non-holders, with a WTP an additional 17.5–28.3% over what they currently pay for their PT pass. The findings reveal a positive attitude among university community members toward MaaS bundles, especially among PT pass holders. This underscores an opportunity for MaaS providers to target this group with tailored bundles that complement existing transport choices, thereby increasing user satisfaction and financial viability.

Sustainable Transportation Choices and Household Budgets: Exploring the Effects of Travel Conditions, Alternative Access, and Infrastructure Quality on Household Transportation Expenditures in Hermosa, Bataan, and Malolos, Bulacan

Sustainable Transportation Choices and Household Budgets: Exploring the Effects of Travel Conditions, Alternative Access, and Infrastructure Quality on Household Transportation Expenditures in Hermosa, Bataan, and Malolos, Bulacan

Finite Sample Inference for the Maximum Score Estimand

Abstract We provide a finite sample inference method for the structural parameters of the semiparametric binary response model under a conditional median restriction originally studied by Manski (1975, 1985). This is achieved by exploiting distributional properties of observable outcomes conditional on the observed sequence of exogenous variables. Moment inequalities conditional on the size n sequence of exogenous covariates are constructed, and the proposed test statistic is a monotone function of violations of the corresponding sample moment inequalities. The critical value used for inference is provided by the appropriate quantile of a known function of n independent Bernoulli random variables, and does not require the use of a cube root asymptotic approximation employing a point estimator of the target parameter. Simulation studies demonstrate favorable finite sample performance of the test in comparison to several existing approaches. Empirical use is illustrated with an application to the classical setting of transportation choice.

Micromobility versus Driving: How Air Quality Alerts Impact Transportation Choices

Micromobility versus Driving: How Air Quality Alerts Impact Transportation Choices

Electrifying the Road: A Comprehensive Analysis of Factors Influencing Consumer Adoption of Electric Vehicles

This study examines the factors influencing electric vehicle (EV) consumer acceptance, focusing on the gap between technology advances and consumer uptake. It examines how consumer perceptions, knowledge, and demographics affect EV adoption decisions. The mixed-methods study collects data from a varied sample using surveys and interviews. Empirical evaluation captures customer opinions regarding EVs across environmental, social, economic, price, performance, and awareness issues. The study also explores how age, money, and social standing affect customer views and adoption. The data shows a large gap between EV technical maturity and consumer adoption rates, driven by a lack of EV buyer knowledge and understanding. EVs provide environmental and economic benefits, but demographics and knowledge gaps cause hesitation. Younger and higher-income groups are more likely to embrace EVs, providing targeted possibilities. The findings suggest focused educational initiatives and legislative measures to close the knowledge gap and boost consumer trust in EV technology. EV adoption can be improved by stakeholders customizing tactics to demographic groups’ wants and concerns. The report recommends a comprehensive approach to promote electric mobility, emphasizing informed customer choice in transportation’s future. This study adds to the literature by studying key aspects of electric vehicle (EV) adoption that previous studies missed. The information illuminates the complex factors that influence client decisions, filling gaps in technical progress and commercial acceptance knowledge. This study complements scholarly discourse by concentrating on ignored places and providing essential data for sustainable transportation promotion.

Analysis of Transportation Choices Affected by the 2024 Hokuriku Shinkansen Tsuruga Extension

The Hokuriku Shinkansen is among the five main Shinkansen lines in Japan. It starts from the capital, Tokyo, and passes through the Hokuriku region (Nagano City, Toyama City, and Kanazawa City) before reaching the Kansai region (Kyoto City and Osaka City). In Japan, the Hokuriku Shinkansen is being developed to increase the number of visitors in the area by shortening travel times and ensuring transportation networks in the event of a disaster; the Kanazawa–Tsuruga extension was opened on Saturday, 16 March 2024. The shortened travel times with this opening are expected to increase the number of visitors to the Hokuriku region and other regions, such as the Tokyo metropolitan area. The Tsuruga extension opening will connect the Hokuriku region with the Tokyo metropolitan area through direct service; however, travel between the Kansai and Chukyo regions will require transfers at Tsuruga Station, which would reduce convenience. Consequently, the flow of people in the Hokuriku region is expected to change significantly after spring 2024. Therefore, this study conducted a questionnaire survey of Kanazawa residents in Ishikawa Prefecture prior to the opening of the Tsuruga extension to analyze its effect on the choice of modes of transportation for travel to the Kansai region. The Hokuriku Shinkansen was found to be the most popular route for travel to the Kansai region after the opening of the Tsuruga extension, and the Hokuriku Shinkansen users prioritized comfort during travel and shorter travel times. Moreover, a high proportion of Hokuriku Shinkansen users were unemployed and received pensions, whereas a high proportion of private automobile users were students, housewives, or other people with no income.

Narrative Review: Perancangan Sistem Pengisian Cepat untuk Kendaraan Listrik dengan Algoritma Kontrol Baterai

In the future, electric vehicles will become the primary choice for transportation due to their environmentally friendly nature and zero carbon emissions. Electric vehicles use batteries as their main source of energy, which can be recharged by continuously flowing electric current. However, uncontrolled charging can cause overcharge to the battery. Therefore, this study aims to find an efficient strategy to control the voltage using fast charging algorithms for electric vehicles. The method used includes the design of a fast charging circuit, battery assembly, and fast charging testing. The results show that the fast charging circuit uses a buck converter circuit combined with a charger circuit to produce a specification of 48 Volts 6 Amperes. The capacitor and resistor components on the output affect the charging speed, and charging is considered fast charging when it reaches 40% battery capacity within 2 hours of charging.

The effect of economic policies on urban transport patterns: A review of motorcycle usage for urban mobility in Nigeria

Purpose: This review examines the effects of Nigeria's economic policies, particularly the removal of fuel subsidies, on urban transport patterns, focusing on the increased use of motorcycles for daily commuting. Methodology: A comprehensive literature review was conducted, analyzing studies on motorcycle usage in urban areas of Nigeria and other developing countries and the impact of economic policies on transportation choices. Results: The study finds that removing fuel subsidies has significantly increased motorcycle usage in Nigerian cities, particularly among low-income earners. This shift has resulted in changes to traffic flow, increased road safety concerns, and environmental challenges due to motorcycle emissions. Theoretical contribution: The paper contributes to the understanding of how economic policies can rapidly transform urban mobility patterns in developing countries, highlighting the complex interplay between affordability, safety, and environmental sustainability in transportation choices. Practical implications: The review identifies several policy interventions, including enforcing safety regulations, creating dedicated motorcycle lanes, and improving traffic management systems. It also emphasizes the need for holistic transport policies that balance economic realities with safety and sustainability concerns. Sustainable Development Goals (SDGs): SDG 11: Sustainable Cities and Communities; SDG 3: Good Health and Well-being; SDG 9: Industry, Innovation and Infrastructure; SDG 13: Climate Action; SDG 8: Decent Work and Economic Growth

THE INFLUENCE OF ON TIME PERFORMANCE AND CUSTOMER BEHAVIOR ON CUSTOMER SATISFACTION THROUGH CUSTOMER PERCEPTION AS A MODERATION (Case Study: Inter-City Bus Transportation Mode Department of Transportation – East Java Province, Indonesia)

Competition for transportation modes in this millennial era is very tight, where there is a change in consumer patterns of transportation choice patterns. City buses, which have been an alternative choice for public transportation, are now starting to be abandoned by consumers for various reasons. The purpose of this research is to determine the influence of on time performance, customer perception on customer satisfaction through the customer perception variable as an intervening variable. The method used is the SEM (Structural Equation Modeling) method with variable analysis using the CFA (Confirmatory Factor Analysis) method. The results of the research show that the punctuality indicator has an influence of 0.053 on customer satisfaction, the consumer mindset indicator has an influence of 0.212 on customer satisfaction, the indicator that consumers perceive well has an influence of 0.044 on customer satisfaction, the service level indicator has an influence of 0.023 on customers. satisfaction through customer perception, and indicators of the existence of other more effective alternative modes of transportation which have an influence of 0.127 on customer satisfaction through customer perception.

Transmission and Volatility Mechanisms of Mineral and Oil Prices in the Context of Clean Energy Transition: A Global Perspective

The prices that govern the output of producers in specific industries hold great significance, particularly in the context of the renewable energy industry, which is profoundly influenced by the dynamics of critical mineral prices. Oil prices also affect mineral transportation and cost-competitive consumer choices, altering the renewable energy sector. This study examines the global transmission of shocks and volatility spillover effects of essential mineral and oil prices in renewable energy production covering the monthly data from January 1990 to June 2023. We use partial cross-quantilogram (PCQ) and rolling window-based recursive cross-quantilogram (RCQ) methods to address the dataset's non-normal and fat-tailed nature. The PCQ analysis shows that aluminum and copper price shock transmission and volatility spillover effects boost cumulative and decomposed renewable energy generation, particularly solar and wind power, in bullish market conditions with long-term memory. Nickel prices decline in bullish markets with long memory. Interestingly, oil price shock transmission and spillover effects benefit solar and wind energy generation over long time horizons. Thus, this study emphasizes the importance of leveraging mineral prices by determining favorable values and implementing market operations to promote environmental sustainability and sustainable development in the face of oil-based industrial expansion.

Mobility attitudes and urban form: shaping public transport and shared mobility choices in Dubai and Lahore

ABSTRACT Urban mobility in the Global South presents unique challenges for public transport (PT) and emerging shared mobility (SM) services influenced by socio-economic factors, mobility attitudes, and urban form. This study examines the factors shaping mode choice behavior between PT and SM services in four communities each in Dubai and Lahore. Additionally, it analyses the impact of primary daily activities on PT and SM preferences in both cities. Data from 1,653 Dubai and 1,603 Lahore residents were analyzed using four binary logistic regression models. Results indicate that socio-demographic factors (age, gender, household car ownership, driver’s license possession, education level, and weekly commuting trips) and mobility attitudes (ride-sharing, ride-hailing, pro-personal car) significantly influence PT and SM choices. Key determinants vary by neighborhood type, including link-node ratio, intersection and road length density, and car and PT commute times. The influence of primary daily activities (work or study) on the choice of PT and SM modes was found to be moderate in Dubai. The study highlights the need for tailored urban and transport policies to promote sustainable modes, considering neighborhood characteristics and demographics.

Factors Influencing Transportation Mode Preferences for Educational Trips Among Dormitory Resident University Students in Kütahya, Türkiye

This study explores the transportation behaviors of university students residing in dormitories in Kütahya, Türkiye, emphasizing their preferred modes for educational trips. Utilizing a Multinomial Logit model, the research analyzes the influence of socio-demographic factors, trip characteristics, and environmental perceptions on mode choice. The results indicate that public transport and walking are the predominant modes, with significant negative associations being observed between car ownership and the likelihood of choosing these sustainable options. Key findings reveal that, as trip distances increase, students are more likely to use public transport, while higher income levels decrease reliance on both public transport and walking. Male students demonstrate a higher preference for these modes compared to female students. Environmental perceptions, including feelings of safety and satisfaction with infrastructure, play a critical role in shaping transportation choices, highlighting the need for improved lighting, walkability, and public transport quality. These insights have important implications for transportation policy, suggesting that reducing private vehicle reliance and enhancing public transport services can significantly promote sustainable travel behaviors. Overall, the study underscores the importance of comprehensive transportation policies that not only enhance infrastructure and service quality but also consider environmental perceptions and safety to promote sustainable travel behaviors among university students.

Petrol Pumps to Power Plugs: Is the Surge in Electric Two-Wheeler Adoption in Kathmandu Due to Unstable Petroleum Prices?

Since the dawn of the 21st century, the awareness towards environmental concern and sustainability slowly began to rise and the “Electric Wave” truly encompassed the world with electric automobiles. Nepal was no exception to this global electric wave. This research explores a key determinant behind this transition, the influence of fluctuating petroleum price. Using secondary data obtained from registrations of electric and petroleum two-wheelers at the Transport Management Office in Kathmandu, under the Ministry of Labor, Employment, and Transport as well as historical petrol prices over the past 4 years from 2019 to 2023, this research seeks to offer valuable insights into the connection between petrol prices and the adoption of electric vehicles in Kathmandu, Nepal. Using SPSS software, a linear regression analysis was conducted and it revealed that while petroleum prices played a role, they were not the sole determinant affecting adoption. This study contributes to the growing body of knowledge on sustainable transportation choices and their drivers. It provides valuable insights for policymakers, consumers, and industry stakeholders, as it underscores the influence of fuel prices on consumer choices and the potential for electric two-wheelers to become a viable alternative in the context of Kathmandu’s urban transport.

Perceptions of potential cycling infrastructure in a low-cycling context: Evidence from a medium-sized urban area

A key factor for the use of bicycles for transportation is the presence of safe and pleasant infrastructure. While research mostly focuses on large cities, cycling infrastructure and use are still incipient in many small and medium-sized cities. Because of their spatial context and very low and demographically uneven cycle use, it is key to understand how the potential of growing infrastructure is perceived among the general population, as well as how these perceptions differ based on personal characteristics. We focus on Camp de Tarragona (Catalonia, Spain), a polycentric urban area where bicycles are used for transportation for less than 1% of trips, and where local authorities have shown renewed interest in expanding and improving the current infrastructure to increase bicycle usage. We examine the perception of residents in the study area regarding various bicycle infrastructure scenarios through a visual preference analysis using photo evaluation. The representative survey was conducted with over 1,000 individuals in 2022, which demonstrates a widespread willingness to cycle as a means of transportation. However, this desire remains unmet due to inadequate infrastructure and an urban configuration that generally discourages cycling. The results show a need for recognizable, safe and segregated cycling infrastructure, though with differing perceptions between gender and age groups and between levels of urban density. The understanding of diverse sociodemographic nuances in the preferences of non-cyclists emerges as vital for promoting cycling as a feasible and socially inclusive transportation choice, highlighting the importance of tailored infrastructure to encourage cycling and enhance accessibility.

Differences in Changes of Mobility Patterns Across the Globe—Evidence From a Natural Experiment

ABSTRACTThe impact of population mobility and transportation choices on the environment is significant. Sustainable mobility policies require an understanding of evolving mobility patterns. This study examines global mobility variations across countries using COVID‐19 Community Mobility Reports. Employing the k‐medoids algorithm and Dynamic Time Warping, we analyzed mobility dynamics. Results reveal diverse changes in population mobility. Around 52 Global North countries exhibit approximately 10% reduction in professional activity‐related traffic post‐COVID‐19. Regarding urban green space mobility, only 29 countries exhibit strong seasonality, with summer traffic in the northern hemisphere peaking at about 150% higher than winter traffic. Three groups of countries are identified concerning public transport mobility: returning to pre‐pandemic levels, experiencing a 25% increase, and nearly doubling from pre‐pandemic levels. This underscores the key determinants for sustainable mobility policy implementation. Fifteen highly developed countries share similar mobility patterns across six areas studied, facilitating the exchange of sustainable mobility solutions and best practices. This research underscores the importance of understanding and addressing evolving mobility patterns for effective environmental policy planning.

Climate Change, Air Pollution, African Dust Impacts on Public Health and Sustainability in Europe

Abstract Climate change poses a significant threat to environmental sustainability and public health, leading to extreme weather events, rising sea levels, and biodiversity loss. Research on air pollution from African dust adversely associated with climate change highlights its significant role in trapping heat in the atmosphere and causing heat-related illnesses, cardiovascular disorders, and respiratory ailments. Smog, dust, acid rain, and ozone depletion also negatively impact ecosystems. The methods of the study also include the dynamics of climate change-induced air pollution. The implications for public health and environmental sustainability through GWR modeling and MODIS-NDVI analysis of controlling air pollution are crucial for reducing the climate crisis, safeguarding public health, and maintaining ecosystem sustainability. Results from particulate matter (PM 2.5-10), which consists of tiny particles with varying diameters, can enter the respiratory system through inhalation. This can lead to a diameter of less than 10 μm (PM 2.5-10). According to the relevant legislation, the limit value refers to the daily average value and must not exceed 50 μg/m3. While ozone in the stratosphere serves a protective function against ultraviolet radiation, excessive levels at ground level can be harmful and have been recorded in atmospheric samples ranging from 146.6 μg/m3 up to 702.3 μg/m3. impacting the respiratory and cardiovascular systems. Policy leaders, businesses, and individuals need to be proactive in reducing air pollution, adopting clean energy technology, and implementing stricter pollution rules. Stricter pollution rules, environmentally friendly transportation choices, and the adoption of clean energy technology. The sustainability of the ecosystem and public health are significantly impacted by climate change linked to air pollution. To solve these global problems and move toward a healthier, cleaner future for future generations, we must act now on climate justice. Key messages • Examine the impact of African dust air pollution on public health and its significant impacts from climate change, provide solutions to mitigate its effects on environmental sustainability in Europe. • Public health workers, Policymakers and stakeholders must prioritize reducing emissions and enforcing strict air quality laws to mitigate the negative impact of African dust on European populations.

How workable is a 20-minute city in Australia? Re-examining the challenge of change in spatial labour and job relations

ABSTRACT Most x-minute city studies focus on liveability and neighborhood accessibility to local services, but rarely include primary employment. This paper complements these studies by examining the urban employment structure and transport dynamics of an Australian city under the 20-minute city concept framework. To do this, we develop a comprehensive method to model residents’ job access time using census-based journey to work (JTW) data and detailed household activity and travel survey. Analysing JTW time stepping down to diverse industry and employment categories and transport modes allows new insight into the disparity in residents’ job and housing locations and transport choices at local scales. By evaluating the distribution of working residents, types of employment, and transport performance, this paper examines possible policy responses and challenges of change in expanding the 20-minute planning target for employment. The analysis suggests that housing infill development could support reduced JTW time for residents experiencing longer time for work travels. However, this would require active planning of both land-use mix and dwelling design to meet prevalent household expectations about dwelling size and quality.

Media attention and electric vehicle adoption: Evidence from 275 cities in China

Can changes in consumer psychology induced by media attention lead to pro-environmental transportation behaviors or choices? In response, we match a unique dataset on media attention with electric vehicle (EV) sales data in China, employing a two-way fixed effects model and an instrumental variable (IV) method to estimate the impact of media attention on EV adoption. Our research found that media attention significantly accelerates the market diffusion of EVs. This result is substantiated through IV tests and a series of robustness checks. Additionally, the mediation effect model revealed that media attention indirectly influences EV adoption through consumer EV attention, government EV focus, EV technological innovation, and EV purchase subsidies. We also discovered that the effect of media attention on EV adoption is not only positively moderated by the level of consumer policy awareness and education but is also more pronounced in areas with high population density, high income, high education levels, and a high air quality index. Our findings not only provide empirical evidence for understanding the role of social psychological factors and external media stimuli in promoting behavioral changes towards environmental protection but also offer guidance for policymakers and businesses in implementing effective market promotion strategies and formulating relevant policies, especially in enhancing public cognition and acceptance of EVs.