Article
Social Sciences, Mathematical Methods
David Dale, Andrei Sirchenko
Summary: We introduce three new commands for estimating ordered probit models, including zero-inflated and nested models, providing postestimation commands for prediction, model comparison, and accuracy assessment. The models allow for different processes to generate probabilities and address issues of excessive zeros in the outcomes.
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
Mahtot Gebresselassie
Summary: This study investigates the accessibility issues of Uber and Lyft from the perspective of wheelchair users. The findings show that more than 50% of wheelchair users are satisfied with the service, but nearly 40% have experienced service denial. The study also reveals that the likelihood of being an Uber or Lyft user is associated with factors such as wheelchair type, access to a vehicle, and level of education.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Computer Science, Information Systems
Daiquan Xiao, Xuecai Xu, Changxi Ma, Nengchao Lyu
Summary: This study used a Bayesian bivariate ordered probit model to examine the driving actions of at-fault older drivers, revealing that factors such as injury severity and total vehicle count were significant in influencing their actions. Additionally, the study found that total vehicle count and vehicle condition were important factors affecting the actions of not-at-fault drivers.
Article
Economics
Boqiang Lin, Xia Wang
Summary: This study used a bivariate probit model to analyze the consistency between urban residents' intentions and behaviors in low-carbon travel, finding that sociodemographic factors, TPB factors, and situational factors significantly impact this inconsistency. The research provides targeted suggestions for enhancing public intention of low-carbon travel and improving low-carbon travel in cities.
ECONOMIC ANALYSIS AND POLICY
(2021)
Article
Public, Environmental & Occupational Health
Na Tan, Liang Chang, Rui Guo, Baiyi Wu
Summary: This study examines the impact of health on labor supply among the elderly in rural China. The findings suggest that even with declining health, the elderly continue to work without significant decrease in their labor supply.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Xianjin Tu, Victor Shi, Ming Zhang, Gangwu Lv
Summary: This article analyzes the impact mechanism of online consumption on offline consumption and finds that consumers with online consumption experience are more likely to consume again, driving overall consumption growth and promoting offline consumption growth through capital effect, complementarity effect, and psychologic effect. In general, online consumption and offline consumption have achieved integrated development.
Article
Substance Abuse
Brian Pittman, Eugenia Buta, Kathleen Garrison, Ralitza Gueorguieva
Summary: This study presents Poisson and Negative Binomial models for analyzing correlated count outcomes, taking into account overdispersion and zero inflation. The hurdle Poisson model provided the best fit to the data.
NICOTINE & TOBACCO RESEARCH
(2023)
Article
Transportation
Zeljko Saric, Xuecai Xu, Daiquan Xiao, Joso Vrkljan
Summary: This study used a panel mixed ordered probit model to investigate the severity of pedestrian-vehicle crashes at intersections and identified influencing factors. The results suggested that the proposed model could effectively address the heterogeneity issue and determine the factors contributing to injury severity in such crashes.
EUROPEAN TRANSPORT RESEARCH REVIEW
(2021)
Article
Plant Sciences
Hyerin Kim, Yasushi Shoji, Takahiro Tsuge, Tetsuya Aikoh, Koichi Kuriyama
Summary: This study examines the recreation demands and visitor characteristics of large urban green spaces in the Sapporo city area using an individual travel cost method. It finds that few urban green spaces have high consumer surplus in the northwestern area and that visitor characteristics are related to the number of visits to these spaces.
URBAN FORESTRY & URBAN GREENING
(2021)
Article
Green & Sustainable Science & Technology
Hongmei Yu, Xiaofei Ye, Xingchen Yan, Tao Wang, Jun Chen, Bin Ran
Summary: This study quantitatively explores the relationship between travel well-being and characteristics such as weekly income and travel time. The results show that age, travel time, health status, and resting degree are significantly related to travel well-being, with older individuals, healthier individuals, and those who are better rested more likely to experience higher levels of travel well-being. Additionally, increased travel time is associated with a significant decrease in travel well-being.
Article
Economics
Hajime Watanabe, Takuya Maruyama
Summary: This study proposes a multinomial probit model that addresses endogeneity and correlated alternatives simultaneously. The proposed model allows binary and/or continuous endogenous variables, any number of instrumental variables in each alternative, and positive and/or negative correlations between choice alternatives. A Bayesian Markov chain Monte Carlo algorithm is also proposed for parameter estimation. The simulation study demonstrates that the proposed model resolves endogeneity while allowing correlations between choice alternatives and emphasizes the importance of setting appropriate prior distributions for binary endogenous variables, even with moderate sample sizes. The proposed model is a valuable tool in travel behavior analysis or other disciplines where endogeneity and correlations between choice alternatives are major concerns.
JOURNAL OF CHOICE MODELLING
(2023)
Article
Public, Environmental & Occupational Health
Grigorios Fountas, Achille Fonzone, Adebola Olowosegun, Clare McTigue
Summary: This study investigates the determinants of injury severities in single-bicycle and bicycle-motor vehicle crashes using correlated random parameter ordered probit models. The findings show that the determinants of injury severities vary between the two types of crashes, with some common factors having different effects. The proposed methodological framework demonstrates relative benefits in terms of statistical fit, explanatory power, and forecasting accuracy compared to less sophisticated models.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2021)
Article
Agricultural Economics & Policy
Alicia L. Rihn, Margarita Velandia, Laura A. Warner, Amy Fulcher, Susan Schexnayder, Anthony LeBude
Summary: Labor issues pose a significant challenge to agriculture, and the ornamental nursery industry is turning to automation technologies to address this challenge. This study examines the current use of automation technologies in the industry and evaluates the perceived barriers and likelihood of adoption of these technologies in the US nursery industry.
Article
Environmental Studies
Yanghao Wang, Wei Shi, Zhenhua Chen
Summary: Using data from 42 metropolitan areas across the United States, this study found that regular and active users of ride-hailing services are more likely to own fewer vehicles compared to occasional users. Additionally, there was no significant difference in vehicle ownership between regular and active users.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Engineering, Civil
Aliaksandr Malokin, Giovanni Circella, Patricia L. Mokhtarian
Summary: This study explores the impact of travel-based multitasking on millennials, particularly in terms of commuting behavior and the value of travel time (VOTT). Results show that millennials' mode choice is more influenced by activities performed while traveling rather than socio-economic characteristics, with lower VOTT for in-vehicle and out-of-vehicle travel time compared to older adults. Additionally, millennials have a higher willingness to pay (in time or money) to use a laptop during their commute, even after controlling for demographic traits, personal attitudes, and propensity to multitask.
Article
Engineering, Civil
Xinyi Wang, F. Atiyya Shaw, Patricia L. Mokhtarian, Giovanni Circella, Kari E. Watkins
Summary: This study uses five cross-sectional travel surveys conducted in California from 1992 to 2018 to examine the factors influencing individuals' self-reported measures of life satisfaction. The findings show that longer commute times, mobility limitations, and perceiving travel as a waste of time are negatively related to life satisfaction. Additionally, the study reveals that GDP per capita and the macro-scale unemployment rate have significant impacts on life satisfaction.
Article
Engineering, Civil
Mustapha Harb, Jai Malik, Giovanni Circella, Joan Walker
Summary: The experiment simulating life with personally owned, fully autonomous vehicles showed that AVs can increase travel miles but may have detrimental effects on the transportation system. Households with mobility barriers or less auto dependency saw the highest percentage increase in VMT, while higher VMT households and families with children had the smallest increase.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Engineering, Civil
Gwen Kash, Patricia L. Mokhtarian
Summary: By utilizing travel diary data from the 2017 NHTS Georgia subsample, this study addresses critical issues related to analyzing complex work journeys and discusses the importance of defining commute anchors based on purpose and location. Comparing two methods for determining commute distance, it was found that using a modeled counterfactual simple commute resulted in an average 63% higher estimate of complex commute distance compared to using the last leg method. This suggests that the last-leg method may underestimate Georgia's annual commute distance and is not accurate for measuring work travel, especially for populations such as women who are more likely to chain trips during their commutes.
TRANSPORTATION RESEARCH RECORD
(2022)
Review
Transportation
Kailai Wang, Xiaodong Qian, Dillon Taylor Fitch, Yongsung Lee, Jai Malik, Giovanni Circella
Summary: This study provides a review of literature on modal shifts in the US and other countries, revealing that shared e-scooters may be a good strategy for reducing car dependence in many US cities. However, the extent of integration between shared e-scooters and public transit varies by city, suggesting the need for technology, regulations, and incentives to ensure successful integration.
Article
Transportation
Xinyi Wang, F. Atiyya Shaw, Patricia L. Mokhtarian
Summary: This study applies latent class cluster analysis to identify seven latent vehicle type propensity segments among survey respondents in Georgia. Results suggest that women choose SUVs/vans due to personal preferences and household responsibilities, and that household income and attitudes also influence vehicle type choices.
TRAVEL BEHAVIOUR AND SOCIETY
(2022)
Article
Environmental Studies
Yongsung Lee, Grace Yun-Hsuan Chen, Giovanni Circella, Patricia L. Mokhtarian
Summary: This study examines the heterogeneous impacts of ridehailing on the use of other travel modes and identifies four distinctive classes of behavioral changes in response to ridehailing adoption. The findings suggest that policy responses should be tailored to users' characteristics.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Engineering, Civil
Grant Matson, Sean McElroy, Yongsung Lee, Giovanni Circella
Summary: The COVID-19 pandemic has had a significant impact on travel behavior worldwide. This study used micro panel data to evaluate the effects of the pandemic on mobility and identified important trends in travel behavior changes. The findings have implications for policy making and future research.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Xinyi Wang, F. Atiyya Shaw, Patricia L. Mokhtarian, Kari E. Watkins
Summary: This study analyzes self-selection biases in survey respondents recruited from the 2017 U.S. National Household Travel Survey and identifies factors related to survey burden, sociodemographic characteristics, travel behavior, and non-response to sensitive variables that contribute to these biases. The findings provide insights for researchers to understand and address sample biases more effectively.
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
Junia Compostella, Kailai Wang, Xiatian Iogansen, Giovanni Circella
Summary: This study examines the changes in online and in-store grocery shopping in California during the COVID-19 pandemic. It found that there was an increase in online grocery purchases among consumerist individuals, while financially conservative individuals and those facing financial struggles showed a decrease. People bought more items per purchase in stores, visited stores less frequently, and transitioned from dining out to cooking at home. Those who enjoy driving and being physically active continued visiting stores more often. Social media use and health concerns influenced shopping patterns, and sociodemographic factors such as household income and race also impacted these changes.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Ran Sun, Giovanni Circella, Miguel Jaller, Xiaodong Qian, Farzad Alemi
Summary: This study analyzes the impacts of the emerging connected and automated vehicle technology on various aspects of society and transportation, including travel demand, vehicle miles traveled, energy consumption, and emissions. The results show that the introduction of CAVs is likely to decrease the mode shares of public transit and in-state air travel, while increasing total vehicle miles traveled and emissions. Additionally, modifying auto travel costs can significantly affect vehicle miles traveled.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Engineering, Civil
Justin A. Flynn, Giovanni Circella, Prashanth S. Venkataram
Summary: We conducted a focus group consisting of 20 adults with disabilities in California to understand how disability affects their transportation and neighborhood preferences. Despite being a small group, their responses provided valuable insights for further research and policymaking. The participants expressed the need for more mixed-use development, improved transportation infrastructure, and support for longer trips, while also highlighting the importance of policymakers considering their input.
TRANSPORTATION RESEARCH RECORD
(2023)
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)