Article
Economics
Domokos Esztergar-Kiss, Daniel Tordai, Julio C. Lopez Lizarraga
Summary: Micromobility is an alternative option for urban transportation that can contribute to sustainable development. This study investigates individual preferences towards e-scooters and finds that Barcelona and Tel Aviv have a higher expectation for e-scooter usage, while Munich, Stockholm, and Copenhagen show less interest. Additionally, the study reveals that Munich, Tel Aviv, and Barcelona are more price-sensitive, and all cities have low time sensitivity.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Xinming Li, Taha Hossein Rashidi, Tay T. R. Koo
Summary: This study utilizes Australian domestic tourism data to model tourists' behaviors in selecting travel seasons and trip duration, and examines the correlation between these two tourism decisions. The results show factors influencing these decisions and mixed evidence of stability and changes in the parameters.
CURRENT ISSUES IN TOURISM
(2021)
Article
Hospitality, Leisure, Sport & Tourism
Wookhyun An, Silverio Alarcon
Summary: In rural tourism, important attributes for tourist preferences include staff hospitality, outdoor activities, additional facilities, and location. Tourists choose rural tourism based on the expected highest utility after comprehensive consideration of these attributes.
ANNALS OF TOURISM RESEARCH
(2021)
Article
Economics
Charitha Dias, Muhammad Abdullah, Ruggiero Lovreglio, Sumana Sachchithanantham, Markkandu Rekatheeban, I. M. S. Sathyaprasad
Summary: Schools are a major cause of congestion in urban areas, especially during morning peak hours. This study examines the factors influencing home-to-school trip mode choices in Kandy city, Sri Lanka, and finds that gender, age, household income, school type, and distance play a significant role in determining the school transport mode. The results can be used by transport planners and policymakers to implement congestion mitigation measures and regulate private transport modes.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Computer Science, Artificial Intelligence
Patricio Salas, Rodrigo De la Fuente, Sebastian Astroza, Juan Antonio Carrasco
Summary: This paper compares the predictive performance of machine learning classifiers and logit models in travel mode choice, and sheds light on explanation capability. The results show a reduction of the accuracy gap between discrete choice models and ML methods when taste heterogeneity is present. Neural Networks generally perform better than other models in terms of accuracy and interpretation.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Studies
Piyush Tiwari, Raghu Dharmapuri Tirumala, Jyoti Shukla
Summary: Improving sanitation infrastructure is crucial for eliminating open defecation and improving hygiene levels in India. The choice of toilet facility depends on various factors such as social, economic, and cultural factors, and the quality of the microenvironment also has a significant impact on disease incidence. Therefore, interventions for improved sanitation should consider these factors holistically, providing better access to sanitation facilities and promoting hygienic behaviors.
ENVIRONMENT AND PLANNING B-URBAN ANALYTICS AND CITY SCIENCE
(2022)
Article
Transportation Science & Technology
Tingting Xie, Yang Liu
Summary: This paper investigates the impacts of fully connected and autonomous vehicles (CAVs) on vehicle market penetration and travelers' route choices from the perspective of transportation planning. A two-sided market equilibrium model is proposed, taking into account the interaction between the vehicle market and the road traffic equilibrium market. The model considers factors such as market penetration, information quality, and spatial distribution of congestion, which are all endogenously determined. Through numerical experiments, it is found that CAV technology and high-quality information have a greater effect on travel time savings for long trips and congested networks.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Public, Environmental & Occupational Health
Li Han, Yan Wang, Yibin Ao, Xuan Ding, Mingyang Li, Tong Wang
Summary: This study explores the impacts of rural built environment attributes on children's school travel mode preferences. The results show that a travel path with pavements or bike lanes, few intersections, low traffic speeds, greenery, and shops can facilitate children's school travels on foot or by bike. These conclusions are important for improving the planning, designing, and construction of rural roads, as well as enriching the theory and practice of child-friendly villages construction.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Agricultural Economics & Policy
Viktoria Graskemper, Xiaohua Yu, Jan-Henning Feil
Summary: The study developed a classification scheme for strategic entrepreneurial choices in agriculture for family farmers. Through investigating determinants influencing these choices, it was found that strong effects exist within personal factors, with creativity and risk affinity benefiting entrepreneurial strategies. Family involvement was also shown to have stabilizing and even enhancing effects on certain strategies.
Article
Economics
Yang Zhou, Quan Yuan, Fangyi Ding, Mingyang Chen, Chao Yang, Tangyi Guo
Summary: The steady trend of aging has raised concerns about how cities can better meet the social needs of the elderly population. This study examines the imbalance between travel demand and transport supply among older adults, finding that older adults tend to travel further and rely heavily on public transport to access non-ubiquitous facilities. Increasing the availability of public transit services near these facilities is more reliable in improving the accessibility for older adults than increasing the number of facilities.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Economics
Khandker Nurul Habib
Summary: The theory of Rational Inattention (RI) has been proposed in recent literature as an alternative to classical discrete choice models. This paper introduces estimable econometric formulations of RI-MNL and RI-NL models, and applies them to commuting mode choices in the GTHA. The empirical investigation shows that the integration of RI significantly improves model fit, with the RI-NL model outperforming the RI-MNL model and capturing asymmetric elasticities.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2023)
Article
Green & Sustainable Science & Technology
Zulfiqar Ali Lashari, Joonho Ko, Seunghyun Jung, Sungtaek Choi
Summary: This study analyzes the consumer preferences for alternative fuel vehicles in South Korea and finds that a reduction in purchase price can significantly boost the sales of hydrogen fuel cell vehicles. The perceived environmental and economic benefits are also important factors. Additionally, potential car buyers who plan to buy one vehicle within one year show the least preference for purchasing battery electric vehicles.
Article
Environmental Studies
Alessandro Silvestri, Sebastien Foudi, Ibon Galarraga
Summary: Shifting away from private vehicle use in urban areas is necessary for decarbonisation of mobility. This paper analyzes mode choice in commuting and grocery shopping journeys, taking into account attitudes, socio-economic factors, and journey characteristics. Results show that commuters more sensitive to negative transport externalities prefer private vehicles, suggesting a paradox in the perception of these externalities.
ENERGY RESEARCH & SOCIAL SCIENCE
(2022)
Article
Food Science & Technology
Blanca Isabel Sanchez-Toledano, Venancio Cuevas-Reyes, Zein Kallas, Jorge A. Zegbe
Summary: Commercialization of 'Jalapeno' peppers in Mexico is limited by consumer knowledge, this study identified consumer preferences and willingness to pay for different quality attributes, revealing three types of consumers and suggesting producers to compete in the market through price strategies based on consumer preferences.
Article
Transportation
Shahrbanoo Rezaei, Anahita Khojandi, Antora Mohsena Haque, Candace Brakewood, Mingzhou Jin, Christopher Cherry
Summary: This study addresses the issue of data imbalance in mode choice modeling by applying an imbalanced learning technique to improve the accuracy of predictions for less commonly used modes. The results demonstrate that the proposed method significantly enhances the prediction capability of logit models while maintaining interpretability.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2022)
Article
Statistics & Probability
Yajie Zou, John E. Ash, Byung-Jung Park, Dominique Lord, Lingtao Wu
JOURNAL OF APPLIED STATISTICS
(2018)
Article
Engineering, Civil
Hang Yang, Yajie Zou, Zhongyu Wang, Bing Wu
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2018)
Article
Engineering, Civil
Sebastian Astroza, Venu M. Garikapati, Ram M. Pendyala, Chandra R. Bhat, Patricia L. Mokhtarian
Article
Green & Sustainable Science & Technology
Yajie Zou, Xinzhi Zhong, Jinjun Tang, Xin Ye, Lingtao Wu, Muhammad Ijaz, Yinhai Wang
Article
Engineering, Civil
Gopindra S. Nair, Chandra R. Bhat, Ram M. Pendyala, Becky P. Y. Loo, William H. K. Lam
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Engineering, Civil
Kamryn Long, Denise Capasso da Silva, Felipe F. Dias, Sara Khoeini, Aarti C. Bhat, Ram M. Pendyala, Chandra R. Bhat
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Engineering, Civil
Felipe F. Dias, Patricia S. Lavieri, Taehooie Kim, Chandra R. Bhat, Ram M. Pendyala
TRANSPORTATION RESEARCH RECORD
(2019)
Article
Economics
Gopindra S. Nair, Chandra R. Bhat, Irfan Batur, Ram M. Pendyala, William H. K. Lam
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2020)
Article
Transportation Science & Technology
Felipe F. Dias, Patricia S. Lavieri, Shivam Sharda, Sara Khoeini, Chandra R. Bhat, Ram M. Pendyala, Abdul R. Pinjari, Gitakrishnan Ramadurai, Karthik K. Srinivasan
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Engineering, Civil
Aravinda Devaraj, Ganesh Ambi Ramakrishnan, Gopindra Sivakumar Nair, Karthik K. Srinivasan, Chandra R. Bhat, Abdul R. Pinjari, Gitakrishnan Ramadurai, Ram M. Pendyala
TRANSPORTATION RESEARCH RECORD
(2020)
Article
Chemistry, Multidisciplinary
Yajie Zou, Lusa Ding, Hao Zhang, Ting Zhu, Lingtao Wu
Summary: This study proposes a vehicle acceleration prediction model based on machine learning methods and driving behavior analysis, which significantly improves the prediction accuracy of vehicle acceleration and classifies drivers into homogeneous and heterogeneous groups based on behavioral semantics.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Shengxue Zhu, Chongyi Li, Kexin Fang, Yichuan Peng, Yuming Jiang, Yajie Zou
Summary: This study aims to identify dangerous driving behavior by extracting vehicle trajectory through video monitoring, ensuring highway traffic safety. By defining risk index, using various methods for anomaly detection, and optimizing imbalanced classification algorithms, dangerous driving behavior can be effectively recognized.
Article
Green & Sustainable Science & Technology
Aupal Mondal, Chandra R. Bhat, Meagan C. Costey, Aarti C. Bhat, Teagan Webb, Tassio B. Magassy, Ram M. Pendyala, William H. K. Lam
Summary: This study examines the emotional differences between utilitarian and recreational walking episodes, finding that utilitarian walking episodes evoke fewer positive emotions compared to recreational ones, which are typically conducted in more pleasant environments. Therefore, investments in recreational walking infrastructure and green spaces may encourage higher levels of walking.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2021)
Article
Transportation Science & Technology
Taehooie Kim, Shivam Sharda, Xuesong Zhou, Ram M. Pendyala
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Proceedings Paper
Computer Science, Artificial Intelligence
Johanna Zmud, Felipe Dias, Patricia Lavieri, Chandra Bhat, Ram Pendyala, Yoram Shiftan, Maren Outwater, Barbara Lenz
ROAD VEHICLE AUTOMATION 5
(2019)