Article
Psychology, Applied
Zihao An, Eva Heinen, David Watling
Summary: The study found that although people have a positive attitude towards car use, it does not necessarily mean they use cars the most frequently. Multimodal travelers and those with higher levels of multimodality are more likely to have attitude-mode use incompatibilities, which may lead to cognitive dissonance.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
Article
Engineering, Civil
Eliska Vejchodska, Hana Bruhova Foltynova, Alena Rybickova
Summary: This paper explores the differences in attitudes, motivations, and transport behavior between carsharing users with and without another car. It analyzes data from the oldest carsharing company in the Czech Republic. Carsharing users without another car utilize shared cars more frequently but drive fewer total kilometers. The availability of a car within households also affects the change in car use after joining carsharing. The findings raise the question of whether carsharing increases the acceptance of restrictive transport measures against private car ownership and use.
Article
Green & Sustainable Science & Technology
Haiyan Zhu, Hongzhi Guan, Yan Han, Wanying Li
Summary: Traveling during off-peak season can lead to cheaper prices and a less crowded experience. To alleviate congestion, a better demand management plan is needed to guide tourists to avoid traveling during holidays.
Review
Multidisciplinary Sciences
Rebecca Stewart, Breanna Wright, Liam Smith, Steven Roberts, Natalie Russell
Summary: This study systematically reviews interventions addressing gendered stereotypes and norms, identifying success factors and making recommendations for improvement. Most interventions aim to change attitudes by increasing participants' awareness of gendered stereotypes and norms. Additionally, strategies such as peer engagement, addressing multiple levels of intervention, developing agents of change, modelling/role models, and co-design are found to strengthen intervention impacts.
Article
Economics
Samira Ramezani, Kamyar Hasanzadeh, Tiina Rinne, Anna Kajosaari, Marketta Kytta
Summary: This study fills the research gap in the relationships between changes in the built environment, activity space dispersion, car and bike ownership, travel attitudes, and travel behavior. Results indicate reciprocal influences between changes in car and bike ownership, travel attitudes, and travel behavior. The study supports the effectiveness of nudging approaches over marketing activities in changing travel attitudes and encouraging sustainable travel behavior.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Transportation
Anna-Lena Van der Vlugt, Angela Curl, Joachim Scheiner
Summary: This paper utilizes structural equation modeling to explore the complex relationships between travel attitudes, socio-demographic factors, objective accessibility, perceived accessibility, and actual behavior. The results show that travel attitudes significantly impact perceived accessibility and walking behavior, with perceived accessibility directly influencing the likelihood of walking.
TRAVEL BEHAVIOUR AND SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Philip R. Walsh, Rachel Dodds, Julianna Priskin, Jonathon Day, Oxana Belozerova
Summary: This research analyzes the behaviors of business travelers from Canada, Switzerland, Russia, and the U.S., and explores how national cultures, demographics, and values influence their sustainable attitudes and behaviors. The findings have important implications for future corporate travel policies.
Article
Environmental Studies
John Thogersen, Arild Vatn, Marianne Aasen, Riley E. Dunlap, Dana R. Fisher, Ottar Hellevik, Paul Stern
Summary: The use of conventional internal combustion-engine vehicles for commuting is influenced by a combination of factors such as physical infrastructure, car ownership, social norms, and beliefs, making it a challenge to transition to more climate-friendly commuting behavior. The institutionalization of ICV use in Norway and other developed economies reflects a long process of integration into people's lives, making it difficult to change behaviors.
ENERGY RESEARCH & SOCIAL SCIENCE
(2021)
Article
Economics
Paul van de Coevering, Kees Maat, Bert van Wee
Summary: Attitudes related to travel and the built environment have complex and potentially conflicting relationships, with recent research highlighting the potential reverse causality hypothesis in addition to the previously supported residential self-selection hypothesis. Land-use policies have been shown to significantly impact the distance traveled by cars. Longitudinal studies are recommended to further explore these dynamics.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Review
Public, Environmental & Occupational Health
Claire L. Cleland, Sophie Jones, Mehdi Moeinaddini, Holly Weir, Frank Kee, John Barry, Alberto Longo, Gary McKeown, Leandro Garcia, Ruth F. Hunter
Summary: Car travel is associated with various negative impacts such as increased risk of morbidity and mortality, physical inactivity, traffic collisions and casualties, and air and noise pollution. This study aimed to identify effective interventions to reduce car use and change travel behavior, and determine the level at which these interventions are delivered.
JOURNAL OF TRANSPORT & HEALTH
(2023)
Article
Green & Sustainable Science & Technology
Ghada Alturif, Wafaa Saleh
Summary: This paper investigates the travel behaviors and attitudes of Saudi nationals towards public transportation in Riyadh. Using online survey data, a discrete choice model of the intent to use public transportation is calibrated as a function of social and attitudinal factors. The results show that overall, young females, lower income groups, and university graduates are more supportive of using public transportation. The level of awareness of the national agenda appears to be increasing the level of support for public transportation. This study is the first investigation of willingness to use public transportation in Riyadh, conducted at a crucial time of national reform.
Article
Environmental Sciences
Chaoyang Shi, Qingquan Li, Shiwei Lu, Xiping Yang
Summary: This paper examines temporal intra-urban travel patterns using trajectory data from online car-hailing platforms. The study found that the statistical characteristics of travel distance are relatively stable, while travel time and speed have some fluctuations. There is a weekly pattern in travel behavior, influenced by travel costs and seasonal factors.
Article
Green & Sustainable Science & Technology
Kiran Shakeel, Taha H. Rashidi
Summary: This study investigates the impact of attitudinal preferences on active and non-active transport choices for non-work travel activities. The findings suggest that the latent preferences for bicycle and car significantly influence the choice of transportation modes. These results contribute to the development of policies promoting active travel.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Review
Psychology, Biological
Anne M. van Valkengoed, Wokje Abrahamse, Linda Steg
Summary: Researchers introduced a classification system that connects different interventions to determinants of environmental behavior, providing guidelines for practitioners to select interventions that can effectively change target behaviors. However, it is still unclear which interventions are most effective, when, and why. This classification system helps us understand the effectiveness of interventions and provides guidance for practitioners to choose interventions that can successfully change behavior.
NATURE HUMAN BEHAVIOUR
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Sara Dolnicar, Csilla Demeter
Summary: The purpose of this study is to analyze when attitudes have or have not been successful as behavioral change targets and propose a conceptual framework of possible explanations. The authors derive five potential explanations for why attitudes often fail to trigger behavioral change in the context of environmentally sustainable tourist behavior.
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT
(2023)
Article
Transportation
Milad Ghasri, Taha Rashidi, Joshua Auld
Summary: This study introduces a survey instrument to collect retrospective life-course events, focusing on residential relocation, and utilizes the survey to evaluate determinants of residential mobility. The results show that primary school commencement is a salient determinant of residential relocation, but its impact is significantly higher in Chicago compared to Sydney.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Economics
Prateek Bansal, Roselinde Kessels, Rico Krueger, Daniel J. Graham
Summary: The COVID-19 pandemic has changed people's travel behavior and created uncertainty in the demand for public transportation, particularly the London Underground. A study conducted a choice experiment among pre-pandemic users to understand their preferences during the pandemic. The analysis showed that travel time valuation increased when the Underground operated at technical capacity and that mandatory face masks were a significant driver for recovering demand. The study also revealed preference heterogeneity among users.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Engineering, Civil
Siroos Shahriari, Edward N. Robson, Jason Wang, Vinayak V. Dixit, S. Travis Waller, Taha H. Rashidi
Summary: Traditional transport models often do not account for broader changes in the economy, so there is a need for an integrated CGE and transport model to quickly assess the economic impacts of transport projects and policies.
Article
Green & Sustainable Science & Technology
Kiran Shakeel, Taha H. Rashidi
Summary: This study investigates the impact of attitudinal preferences on active and non-active transport choices for non-work travel activities. The findings suggest that the latent preferences for bicycle and car significantly influence the choice of transportation modes. These results contribute to the development of policies promoting active travel.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Engineering, Civil
Patrick Manser, Tom Haering, Tim Hillel, Janody Pougala, Rico Krueger, Michel Bierlaire
Summary: This paper presents a novel activity-based demand model that combines an optimisation framework for continuous temporal scheduling decisions with traditional discrete choice models for non-temporal choice dimensions. The framework resolves temporal scheduling conflicts to maximize individuals' daily utility by introducing flexibility parameters. It has three advantages over existing models and can be used to estimate and simulate city-scale case studies efficiently.
Article
Computer Science, Theory & Methods
Rico Krueger, Michel Bierlaire, Thomas Gasos, Prateek Bansal
Summary: This study analyzes two robust alternatives to the multinomial probit model and demonstrates their advantages through simulation and case studies.
STATISTICS AND COMPUTING
(2023)
Article
Transportation Science & Technology
Ali Najmi, Taha H. Rashidi, Travis Waller
Summary: This paper proposes a generalized multi-modal multi-provider market equilibrium model to evaluate the operation of transport systems. The model includes various modes of transportation such as private vehicles, walking, public transport, ride-sourcing, and ridesharing. The economic behaviors of service providers and a network operator are modeled using optimization problems and user equilibrium conditions, forming a complementarity formulation for the market at equilibrium. Extensive computational experiments demonstrate the model's applicability in handling various market responses to technological improvements, demand changes, emissions restrictions, and cultural barriers.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation Science & Technology
Siroos Shahriari, S. A. Sisson, Taha Rashidi
Summary: Time series analysis is widely used in transport research, but there are few studies that consider both temporal and spatial correlations. This study introduces a Copula time series model that can model correlations between variables through time and space. The model combines an autoregressive moving average-generalised autoregressive conditional heteroskedasticity (ARMA-GARCH) model for temporal correlation and a Copula model for spatial correlation.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Computer Science, Interdisciplinary Applications
Maryam Bostanara, Taha Hossein Rashidi, Nazmul Arefin Khan, Joshua Auld, Milad Ghasri, Clara Grazian
Summary: In this study, the residential and workplace relocation durations of households are modeled simultaneously using a Bayesian, copula-based, multivariate, parametric survival analysis. The results reveal that the durations of home and workplace relocations are not necessarily strongly correlated, which suggests valuable research directions in the future.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Economics
Rico Krueger, Ricardo A. Daziano
Summary: We investigated preferences for COVID-19 vaccines using data from a survey conducted in the US. The study found that effectiveness was the most important attribute, followed by the risk of severe side effects and protection period. The study also revealed the interactions between different attributes.
JOURNAL OF CHOICE MODELLING
(2022)
Article
Transportation
Annesha Enam, Joshua Auld, Taha H. Rashidi
Summary: Contrary to driving alone, public transportation allows for engaging in additional activities while traveling, known as travel-based multitasking. This study compared generic and trip-specific preferences during public transportation using two integrated models. The results showed that the trip-specific data captured more nuances in travel-based multitasking behavior than the generic data. The heterogeneity identified by these models can help transit operators provide suitable facilities along different transit routes.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Transportation
Ali Najmi, Travis Waller, Mehrdad Memarpour, Divya Nair, Taha H. Rashidi
Summary: This paper highlights the importance of understanding psychological and cognitive factors in transportation decision-making and behavior. It suggests that economic factors such as cost and performance are not the sole determinants of behavior. The paper aims to develop a conceptual model of psychological and moral values, societal experiences, and service perception, and discuss their implications for individuals' behavior in transportation contexts.
TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES
(2023)
Article
Transportation Science & Technology
Rico Krueger, Michel Bierlaire, Prateek Bansal
Summary: This paper presents and applies an approach for estimating ride-sourcing demand at a disaggregate level using discrete choice models and multiple data sources. The study reveals insights into the influence of various socio-economic, land use, and built environment features on ride-sourcing demand. Additionally, the researchers derive elasticities of ride-sourcing demand relative to travel cost and time, and illustrate the use of the developed model in quantifying the welfare implications of ride-sourcing policies and regulations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Transportation
Maliheh Tabasi, Alireza Raei, Tim Hillel, Rico Krueger, Taha Hossein Rashidi
Summary: Mode choice models are crucial in transport demand modeling and benefit transport planners, engineers, and researchers in policy and infrastructure evaluation. This study develops a multinomial logit mode choice model using high-quality travel data collected by a GPS-based smartphone app and stated preference data. The model results reveal the impact of sociodemographic variables on mode choice behavior and individuals' willingness-to-pay (WTP), emphasizing the value of collecting both revealed preference (RP) and complementary stated preference (SP) data. Additionally, a mixed multinomial logit (MMNL) model is developed to explore the trade-off between time and cost in travelers' behavior.
TRAVEL BEHAVIOUR AND SOCIETY
(2023)
Article
Energy & Fuels
Fengji Luo, Zehua Zhao, Taha Hossein Rashidi
Summary: Mobility as a Service (MaaS) represents a shift towards mobility provided as a service instead of personally owned transportation. This article introduces a new application scenario of MaaS in urban energy systems, known as the mobile energy to home (ME2H) integration, using electric vehicles as a mobile energy storage medium. The study proposes an architectural design of the ME2H system centered around a ridesharing-like booking system, allowing customers to appoint nearby EVs for temporary energy supply at a lower cost.
IET ENERGY SYSTEMS INTEGRATION
(2022)