Review
Transportation
Huyen T. K. Le, Andre L. Carrel, Harsh Shah
Summary: The rise of e-commerce has led to significant changes in personal travel and activities, with most studies finding that online shopping substitutes for traditional shopping travel. However, research has mainly focused on trip frequency and neglected other travel outcomes, while few studies have considered the modification effect which is important for travel demand management. Previous studies have not reached a consensus on the dominant effect of online shopping due to diversity in variables, goods types, study areas, and analytic methods.
Article
Economics
Aupal Mondal, Chandra R. Bhat
Summary: Ranking data provides important information related to valuation, more meaningful than just the top choice preference. This paper proposes a new model that can efficiently utilize ranking data to achieve precise choice model estimation.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Engineering, Civil
Md Shahadat Hossain, Mahmudur Rahman Fatmi, Corrie Elizabeth Thirkell
Summary: COVID-19 has significantly changed people's daily lives and increased online grocery shopping and food ordering. Little is known about the future of virtual and in-person shopping/eating activities after the pandemic. This study uses a multivariate ordered probit model to investigate preferences towards online and in-person grocery shopping and food ordering. The results show that individuals with lower income and with children prefer in-person activities, while those with vehicles and driver's licenses prefer in-store grocery shopping. Transit pass holders prefer online grocery shopping and eating out. The model confirms complementarity and substitution effects between online and in-person activities. These findings provide important insights into post-pandemic travel activity patterns and can inform policy-making.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Green & Sustainable Science & Technology
Benjamin Motte-Baumvol, Leslie Belton Chevallier, Olivier Bonin
Summary: This research uses data from the UK National Travel Survey to explore the relationship between online and in-store shopping. The study finds that buying groceries online with home delivery can significantly reduce household CO2 emissions and does not lead to a rebound effect in other trip motives.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Engineering, Civil
Chiara Calastri, Jacek Pawlak, Richard Batley
Summary: The study focuses on how people engage in different online activities during travel, utilizing the MDCEV model to jointly model the choice and duration of multiple activities. It investigates the influence of passenger and trip characteristics on activity choice and duration, providing insights for investment appraisal and the valuation of travel time. The findings contribute to the broader discourse on the nature of travel time and its valuation.
Article
Engineering, Civil
Harsh Shah, Andre L. Carrel, Huyen T. K. Le
Summary: This study investigates the interactions between online shopping, teleworking, and travel at a tour level, considering trip chaining and the importance of the activities involved. The results indicate that teleworking reduces mandatory and maintenance tours while increasing online shopping. Maintenance tours are positively associated with discretionary tours.
Article
Construction & Building Technology
Kostas Mouratidis, Apostolos Papagiannakis
Summary: The study shows that during the COVID-19 pandemic, the importance and frequency of remote work, remote meetings, online learning, telehealth, and online shopping significantly increased. This resulted in more people engaging in these activities daily.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Economics
Jose F. Perles, Martin Sevilla, Ana B. Ramon-Rodriguez, Maria Jesus Such, Patricia Aranda
Summary: The justification for promoting tourism development lies in its ability to generate spillover effects on traditional economic activities. This study examines the relationship between tourism development and the local fisheries sector, finding that fisheries benefit from tourism growth in terms of increased value rather than increased volume of catches.
Article
Computer Science, Interdisciplinary Applications
Ibukun Titiloye, Md Al Adib Sarker, Hamidreza Asgari, Xia Jin
Summary: This study investigates the interactions between online and in-store shopping behaviors across four categories of non-essential experience goods and finds that there are different dynamics in shopping behaviors within these product categories. The results indicate that online and in-store shopping exhibit reciprocal complementarity effects in some categories, while an asymmetric reciprocal relationship is observed in others. The study also reveals the mediating influence of attitudes on shopping behaviors.
COMPUTATIONAL URBAN SCIENCE
(2023)
Article
Computer Science, Information Systems
Paolo Neirotti, Elisabetta Raguseo
Summary: This study examines how online visibility and presence on multiple Internet portals impact the profitability of small and medium-sized hotels, finding that they are complementary for profitability. However, appearing on more Internet portals can have a negative impact on profitability for hotels with poor reputations.
INFORMATION & MANAGEMENT
(2021)
Article
Environmental Sciences
Naoto Mouri, Ryuichi Ohta, Chiaki Sano
Summary: Shopping rehabilitation, as a rehabilitation measure, has positive effects on the physical and cognitive functions of older adults, reducing the number of individuals with high scores on the checklist. Significant improvements were observed in the group with families, while the improvement in the group living alone was not significant.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Engineering, Civil
Justin Drummond, Md Sami Hasnine
Summary: This paper investigates the influences of various factors on online and in-store shopping behaviors in New York City during the COVID-19 pandemic. Panel data from the New York City Department of Transportation for May, July, and October 2020 are used for analysis. The study employs random effect ordered probit models and dynamic discrete choice models to explore the factors affecting online and in-store shopping. The findings indicate that increased subway usage is positively correlated with in-store shopping during the pandemic. Income also plays a role, as higher-income individuals are less likely to shop in store compared to lower-income individuals. Contrary to previous research, age does not seem to have a significant impact on shopping behaviors. Additionally, it is found that online and in-store shopping are not necessarily inversely proportional. Overall, this study sheds light on the complexities of shopping behaviors during the pandemic and highlights the importance of transportation-related policies in preparing for future threats.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Rui Colaco, Joao de Abreu e Silva
Summary: This study analyzes data from Lisbon to examine the impact of online shopping on travel and shopping behavior. It found that factors like education and income lost significance as predictors of online shopping in the aftermath of the COVID-19 pandemic, suggesting a broader engagement with online shopping. Additionally, the study revealed a shift from complementarity to substitution effect, indicating a more widespread adoption of online shopping after the pandemic.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Nutrition & Dietetics
Lucyna Kozlowska, Jolanta Gromadzinska, Rafal Zwiech, Zbigniew Zbrog, Wojciech Wasowicz
Summary: The aim of this project was to evaluate the effectiveness of two types of nutritional interventions on hemodialysis patients. The results showed that providing a meal before dialysis had a positive impact on nutritional status and inflammatory markers. Further research and discussions are needed to improve the daily diet and dietary adjustments for hemodialysis patients.
Article
Engineering, Civil
Sung Hoo Kim, Patricia L. Mokhtarian, Sangho Choo, Giovanni Circella
Summary: This study analyzes the relationships between ICT, e-shopping, local accessibility, and travel intensity in Georgia. The results show that e-shopping frequency is positively affected by ICT usage, while local accessibility reduces e-shopping frequency. Two distinct segments with different structural relationships were identified. The study emphasizes the importance of considering heterogeneity in these relationships and discusses the benefits of integrating NHTS data with other sources.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Irfan Batur, Katherine E. Asmussen, Aupal Mondal, Sara Khoeini, Tassio B. Magassy, Ram M. Pendyala, Chandra R. Bhat
Summary: This paper explores how the level of interest in using autonomous vehicles (AVs) for errands affects the intent to own an AV. The results show that the interest in having AVs run errands has a significant impact on the intention to own an AV.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Transportation
Shivam Khaddar, Shobhit Saxena, Mahmudur Rahman Fatmi, Abdul Rawoof Pinjari
Summary: This paper presents an episode-level activity generation and destination choice model that captures the interdependencies among travel choice dimensions such as occurrence, duration, and destinations of episodes. The model incorporates a multinomial logit model to calculate destination accessibility and provide feedback to the model. The findings demonstrate the potential of this model to improve forecasting accuracy and insights of activity-based models.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Engineering, Civil
Aupal Mondal, Natalia Ruiz Juri, Chandra R. Bhat, Arash Mirzaei
Summary: The paper discusses the inclusion of empty trips from ride-hailing and connected autonomous vehicles into a planning model. The methods developed in this study are incorporated into a model of the Dallas-Fort Worth region and show significant impacts on vehicle miles traveled and traffic congestion.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Transportation
Sangram Krishna Nirmale, Abdul Rawoof Pinjari, Anshuman Sharma
Summary: A panel data-based framework is proposed to analyze driver behavior in India and the United States. The results reveal similarities and differences in driver behavior between the two datasets, and shed light on the suitability of different lengths of influence zones.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Engineering, Civil
Shobhit Saxena, Abdul Rawoof Pinjari, Chandra R. Bhat, Aupal Mondal
Summary: Traditional multiple discrete-continuous choice models impose tight linkages between discrete choice and continuous consumption decisions. A recent flexible MDCEV model suggests separate parameters for discrete choice and continuous consumption values. This paper introduces a flexible non-IID MDCP model that allows for a more general variance-covariance structure. Results of applying the model to household expenditure patterns on domestic tourism trips in India show the preferred model depends on the analyst's willingness to compromise utility-maximizing behavior and the tie between discrete and continuous consumption decisions.
Article
Economics
Katherine E. Asmussen, Aupal Mondal, Chandra R. Bhat, Ram M. Pendyala
Summary: In this study, the authors investigate the workplace location (WPL) preferences of workers in an evolving future, focusing on their preferences for specific combinations of working from home, work office, and a variable third WPL. By using the MDCEV model and a stated preference survey, the authors find that different groups of workers have varying preferences for the three WPL alternatives. The results provide valuable insights for urban planners, employers, and other businesses, emphasizing the need for detailed information about work patterns in future surveys.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Engineering, Civil
Tassio B. Magassy, Irfan Batur, Aupal Mondal, Katherine E. Asmussen, Chandra R. Bhat, Deborah Salon, Matthew Bhagat-Conway, Mohammadjavad Javadinasr, Rishabh Chauhan, Abolfazl (Kouros) Mohammadian, Sybil Derrible, Ram M. Pendyala
Summary: The COVID-19 pandemic has significantly changed human activity-travel patterns, leading to changes in transportation mode use and work modalities. Most transit agencies in the United States are facing lower ridership levels, indicating a new normal for the future of transit. This study utilizes a novel panel survey data set to examine the evolution of mode choice, particularly in public transit, during and after the pandemic. The results reveal a potential 30% decrease in transit patronage without substantial service configuration changes, and highlight the likelihood of minority groups and those in higher density regions returning to transit use in the post-pandemic period.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Irfan Batur, Abbie C. Dirks, Chandra R. Bhat, Steven E. Polzin, Cynthia Chen, Ram M. Pendyala
Summary: This research investigates the impacts of COVID-19 pandemic-induced changes in activity-travel and time-use patterns on well-being. Using data from the American Time Use Survey (ATUS) in 2019 and 2020, the study assesses the changes in these patterns and evaluates their effects on society through well-being scoring and time-poverty analysis methods. The findings indicate that individuals experienced decreased well-being during the pandemic, despite improvements in time-poverty statistics, because the pandemic limited their ability to engage in activities that enhance well-being. Overall, well-being is positively associated with pursuing discretionary activities with others in preferred out-of-home settings, explaining why people are quickly embracing travel again in the post-pandemic era. Additionally, people desire more discretionary time, partly due to the elimination of commuting, leading to workers' reluctance in fully returning to the workplace. In planning processes, it is crucial to consider a new normal where activity-travel patterns will be increasingly influenced by the human desire to accumulate positive life experiences.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Aupal Mondal, Chandra R. Bhat
Summary: Studies in the residential self-selection literature assume a unidirectional impact from attitudes to behavior, but this may be violated. In this study, we model the jointness of residential and travel-related choices by allowing the error terms of attitudinal factors to be correlated with the main outcomes, using green lifestyle propensity and luxury lifestyle propensity as stochastic latent constructs. The results show significant unobserved correlations between the latent constructs and the main outcomes, and ignoring such endogeneity underestimates the true causal effect of high-density neighborhood (HDN) living on travel-related choices.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Economics
Shobhit Saxena, Chandra R. Bhat, Abdul Rawoof Pinjari
Summary: This paper explores the possibility of imposing restrictions on covariance matrix elements using a separation-based strategy with spherical parameterization. The results from simulation experiments show that this separation-based strategy performs better in recovering model parameters, especially those in the covariance matrix, compared to the traditional Cholesky parameterization approach. Furthermore, the proposed strategy is implemented in a joint multivariate binary probit ordered probit model system to restrict several correlations to zero, greatly simplifying the estimation process.
JOURNAL OF CHOICE MODELLING
(2023)
Article
Engineering, Civil
Irfan Batur, Abbie C. Dirks, Aupal Mondal, Chandra R. Bhat, Ram M. Pendyala
Summary: This paper examines the relationship between household vehicle ownership and ridehailing use frequency. The study finds that the direction of causality between these two variables is rather ambiguous. Results show that 58% of the survey sample follows the causal structure in which ridehailing use frequency affects vehicle ownership. This suggests that ridehailing services hold considerable promise in affecting changes in private vehicle ownership in the future.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Tassio B. Magassy, Irfan Batur, Aupal Mondal, Katherine E. Asmussen, Chandra R. Bhat, Ram M. Pendyala
Summary: This study investigates the factors influencing people's willingness to use AV-based ridehailing services in a shared mode. The results show that current ridehailing experiences strongly influence the likelihood of being willing to ride AV-based services in a shared mode. Providing firsthand experiences of such services could potentially contribute to the realization of a shared mobility future. Attitudinal variables are also found to strongly influence the adoption of future mobility services.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Environmental Studies
Ana Luiza S. de Sa, Patricia S. Lavieri, Yu-Tong Cheng, Elham Hajhashemi, Gabriel J. M. Oliveira
Summary: Electric vehicles can contribute to decarbonising transport, provided that the electricity supply and demand are balanced and renewable resources are maximised. Demand-side management strategies, such as time-of-use tariffs and supplier-managed charging, are necessary to encourage users to charge at specific times. However, adjusting to different charging times can disrupt users' schedule flexibility.
ENERGY RESEARCH & SOCIAL SCIENCE
(2023)
Article
Economics
Aupal Mondal, Chandra R. Bhat
Summary: Ranking data provides important information related to valuation, more meaningful than just the top choice preference. This paper proposes a new model that can efficiently utilize ranking data to achieve precise choice model estimation.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Transportation Science & Technology
Yue Zhao, Liujiang Kang, Huijun Sun, Jianjun Wu, Nsabimana Buhigiro
Summary: This study proposes a 2-population 3-strategy evolutionary game model to address the issue of subway network operation extension. The analysis reveals that the rule of maximum total fitness ensures the priority of evolutionary equilibrium strategies, and proper adjustment minutes can enhance the effectiveness of operation extension.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Hongtao Hu, Jiao Mob, Lu Zhen
Summary: This study investigates the challenges of daily storage yard management in marine container terminals considering delayed transshipment of containers. A mixed-integer linear programming model is proposed to minimize various costs associated with transportation and yard management. The improved Benders decomposition algorithm is applied to solve the problem effectively and efficiently.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Zhandong Xu, Yiyang Peng, Guoyuan Li, Anthony Chen, Xiaobo Liu
Summary: This paper studied the impact of range anxiety among electric vehicle drivers on traffic assignment. Two types of range-constrained traffic assignment problems were defined based on discrete or continuous distributed range anxiety. Models and algorithms were proposed to solve the two types of problems. Experimental results showed the superiority of the proposed algorithm and revealed that drivers with heightened range anxiety may cause severe congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Chuanjia Li, Maosi Geng, Yong Chen, Zeen Cai, Zheng Zhu, Xiqun (Michael) Chen
Summary: Understanding spatial-temporal stochasticity in shared mobility is crucial, and this study introduces the Bi-STTNP prediction model that provides probabilistic predictions and uncertainty estimations for ride-sourcing demand, outperforming conventional deep learning methods. The model captures the multivariate spatial-temporal Gaussian distribution of demand and offers comprehensive uncertainty representations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Benjamin Coifman, Lizhe Li
Summary: This paper develops a partial trajectory method for aligning views from successive fixed cameras in order to ensure high fidelity with the actual vehicle movements. The method operates on the output of vehicle tracking to provide direct feedback and improve alignment quality. Experimental results show that this method can enhance accuracy and increase the number of vehicles in the dataset.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Mohsen Dastpak, Fausto Errico, Ola Jabali, Federico Malucelli
Summary: This article discusses the problem of an Electric Vehicle (EV) finding the shortest route from an origin to a destination and proposes a problem model that considers the occupancy indicator information of charging stations. A Markov Decision Process formulation is presented to optimize the EV routing and charging policy. A reoptimization algorithm is developed to establish the sequence of charging station visits and charging amounts based on system updates. Results from a comprehensive computational study show that the proposed method significantly reduces waiting times and total trip duration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)