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
Engineering, Civil
Torran Semple, Grigorios Fountas, Achille Fonzone
Summary: This study investigated the work trip patterns of Scottish residents during the COVID-19 pandemic. The survey data showed that the majority of respondents did not make work trips during the lockdown and following the easing of restrictions. Socioeconomic characteristics, such as occupation and health status, influenced the frequency of work trips throughout the pandemic.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Statistics & Probability
Kim-Hung Pho
Summary: This article proposes a novel model called the ZI Logit Probit (ZILP) model that can analyze binary data with numerous zero counts. The study presents the general formula, connected functions, and estimating equation (EE) of the ZILP model, and provides theoretical support and numerical proofs through simulations and analysis of real medical data. The results obtained from analyzing actual medical data reveal significant and important findings for practical application.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
(2023)
Article
Pediatrics
Temitayo Victor Lawal, Kehinde Adebola Atoloye, Ayo Stephen Adebowale, Adeniyi Francis Fagbamigbe
Summary: Despite low full vaccination coverage, there have been improvements over the years with significant disparities across states. Encouraging women to understand the benefits of hospital delivery and vaccines, utilizing radio jingles and posters for vaccine promotion, and implementing state-specific efforts to address vaccination access inequality in Nigeria are recommended.
Article
Engineering, Environmental
Xiong Ke, Tuo Wei, Gengrui Wei, Acong Chen, Xiaoqian Cheng, Zemin Li, Zhi Qin, Zijun Pang, Jiamin Pan, Yao Chen, Cong Wei, Xianghong Guan, Xuguang He, Guanglei Qiu, Haizhen Wu, Chaohai Wei
Summary: A zero-discharge integrated process (ZDIP) was created to treat coking wastewater, which is characterized by high toxicity and complex composition. The results showed that most of the pollutants were removed in the biochemical unit of the ZDIP, and further treatment in the pre-processing and membrane units resulted in reuse of over 98% of the effluent. The ZDIP achieved zero discharge treatment of residual liquid and sludge, with low operating cost and carbon emissions.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Public, Environmental & Occupational Health
Zhao Zhang, Runan Yang, Yun Yuan, Glenn Blackwelder, Xianfeng (Terry) Yang
Summary: The study used the HOPIT model to examine driver injury severity in left-turn crashes, finding that seasonal factors and other elements have varying effects on injury severity.
TRAFFIC INJURY PREVENTION
(2021)
Article
Public, Environmental & Occupational Health
Xintong Yan, Jie He, Guanhe Wu, Changjian Zhang, Ziyang Liu, Chenwei Wang
Summary: The study investigates the weekly transferability and temporal stability of factors determining different injury severity levels in alcohol-impaired driving crashes, finding that certain indicators exhibit relative weekly transferability and temporal stability. This can aid in preventing alcohol-impaired driving crashes and informing the development of crash injury mitigation policies.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2021)
Article
Public, Environmental & Occupational Health
Miao Yu, Changxi Ma, Jinxing Shen
Summary: This study applied the HOPIT method to analyze single-vehicle roadway departure crash data from North Carolina from 2014 to 2017, finding that some factors have relatively stable effects on injury severity while others exhibit temporal instability. This presents a caution for decision-makers in handling these factors carefully.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Zheng Zhang, Xianzhong Mu, Chuang Tu, Zheren Sun, Guangwen Hu
Summary: This paper proposes a distributed energy hierarchical network planning model to effectively address energy and environmental issues in the age of carbon neutrality. The model combines distributed energy planning and renewable energy use, and it has been shown to improve the stability and cost-effectiveness of the network. By optimizing the network's topological connection structure, the total length of transmission lines in energy communities can be significantly reduced, leading to cost savings in line construction, transmission losses, and operation and maintenance.
CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY
(2023)
Article
Public, Environmental & Occupational Health
Shinthia Azmeri Khan, Shamsunnahar Yasmin, Md Mazharul Haque
Summary: This study investigates the effects of design consistency measures on run-off-road crash severity outcomes by applying a random parameters hierarchical ordered Probit model. The results reveal the importance of considering the interaction of drivers' behavior, road geometry, and roadside attributes in developing run-off-road crash severity models.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2023)
Article
Transportation Science & Technology
Negar Rezvany, Michel Bierlaire, Tim Hillel
Summary: This paper proposes a framework that simulates intra-household interactions and captures the coordination of activity scheduling decisions among household members. It contributes to the development of activity-based modeling by explicitly capturing various interactions within the same model, such as vehicle allocation, division of household responsibilities, escorting, etc.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Rezwana Rafiq, Michael G. McNally, Yusuf Sarwar Uddin, Tanjeeb Ahmed
Summary: This study explores the impacts of working from home on activity-travel behavior during the COVID-19 pandemic, finding that working from home led to a reduction in workplace and non-workplace visits, as well as a decrease in person miles traveled. The proportion of people working from home depended on the severity of the pandemic, public health policies, and socio-economic characteristics.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Transportation
Jinxing Shen, Hongyan Gu, Xuejun Feng, Miao Yu, Changjiang Zheng
Summary: This study comprehensively analyzes the factors influencing bus-crash severity and identifies key variables affecting the consequences of accidents. The results show the importance of considering variable heterogeneity in interpreting bus-crash severity and formulating targeted policies to enhance the safety of bus services.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
Article
Energy & Fuels
Ivan Ligardo-Herrera, Alberto Quintana-Gallardo, Christian Wolfgang Stascheit, Tomas Gomez-Navarro
Summary: The study develops an innovative open access planning tool to assess the impact of energy consumption on carbon emissions. It provides reliable information for policymakers and end-users to achieve sustainable development goals. Two case studies demonstrate the effectiveness of the tool in reducing greenhouse gas emissions through energy-efficient equipment and renewable energy sources. The study concludes that smart tools are crucial for planning nearly Zero-Energy Districts (nZED).
Article
Construction & Building Technology
Yago Losa Rovira, Ahmadreza Faghih Imani, Aruna Sivakumar, Jacek Pawlak
Summary: Accurately modeling and predicting the timing and duration of individual activities is crucial for successful Demand Side Response (DSR) policies in the residential sector. This paper presents a model that captures the relationship between activity type, location, and modality, allowing for better understanding of trade-offs made by individuals and heterogeneous behaviors. The empirical results demonstrate the reliability and suitability of the model for policy implications.
ENERGY AND BUILDINGS
(2022)
Article
Transportation Science & Technology
Ali Shamshiripour, Ehsan Rahimi, Ramin Shabanpour, Abolfazl (Kouros) Mohammadian
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Transportation
Amir Bahador Parsa, Ramin Shabanpour, Abolfazl (Kouros) Mohammadian, Joshua Auld, Thomas Stephens
Summary: This study introduces a model to characterize changes in network traffic flows under the implementation of CAV technology, utilizing machine learning techniques. The estimated models are validated and an analysis tool is employed to investigate the impact of important features on changes in traffic volume.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2021)
Article
Transportation Science & Technology
Nima Golshani, Ramin Shabanpour, Abolfazl Mohammadian, Joshua Auld, Hubert Ley
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Multidisciplinary Sciences
Deborah Salon, Matthew Wigginton Conway, Denise Capasso da Silva, Rishabh Singh Chauhan, Sybil Derrible, Abolfazl (Kouros) Mohammadian, Sara Khoeini, Nathan Parker, Laura Mirtich, Ali Shamshiripour, Ehsan Rahimi, Ram M. Pendyala
Summary: The COVID-19 pandemic has brought significant changes to people's lifestyles, with potential future trends including an increase in telecommuting, a decrease in air travel, and an improved quality of life for some individuals.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Transportation
Monique Stinson, Bo Zou, Diana Briones, Alicia Manjarrez, Abolfazl (Kouros) Mohammadian
Summary: This study investigates the impacts of the sharing economy and vehicle automation on household vehicle ownership and finds that individuals in the sharing economy tend to purchase more vehicles and preserve their fleets more readily.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Transportation
Homa Taghipour, Amir Bahador Parsa, Rishabh Singh Chauhan, Sybil Derrible, Abolfazl (Kouros) Mohammadian
Summary: This study proposes a deep ensemble modelling approach to detect crashes in real time, using three powerful deep learning techniques and eight ensemble techniques. The results show that the ensemble models, especially the ones using multilayer perceptron and random forest classifier, improve the performance of crash detection.
Article
Transportation
Motahare (Yalda) Mohammadi, Ehsan Rahimi, Amir Davatgari, Mohammadjavad Javadinasr, Abolfazl (Kouros) Mohammadian, Matthew Wigginton Bhagat-Conway, Deborah Salon, Sybil Derrible, Ram M. Pendyala, Sara Khoeini
Summary: This study examines the long-term impacts of COVID-19 on telecommuting behavior and finds that perceived productivity and COVID risk perception have significant positive effects on telecommuting. It suggests a potential increase in telecommuting frequency post-pandemic, with variations among different socio-economic groups.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2023)
Article
Psychology, Applied
Mohammadjavad Javadinasr, Sina Asgharpour, Ehsan Rahimi, Pooria Choobchian, Abolfazl Kouros Mohammadian, Joshua Auld
Summary: This study investigates the factors influencing the intention to continue using e-scooters among shared e-scooter users. Based on survey data from 2126 users in Chicago, the study finds that perceived usefulness and perceived reliability are the most salient factors determining users' decisions. Other significant drivers include social influence, perceived ease of use, variety seeking, and perceived enjoyment. The findings provide valuable insights for shared e-scooter operators, transportation planners, and policymakers to encourage continued use of e-scooters and promote smart cities.
TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
(2022)
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
Multidisciplinary Sciences
Ali Movahedi, Amir Bahador Parsa, Anton Rozhkov, Dongwoo Lee, Abolfazl Kouros Mohammadian, Sybil Derrible
Summary: The analysis of infrastructure use data in relation to other components of the infrastructure can help better understand the interrelationships between infrastructures to eventually enhance their sustainability and resilience. In this study, we focus on electricity consumption and travel demand. The premise is that when people are in buildings consuming electricity, they are not generating traffic on roads, and vice versa, hence the presence of interrelationships.
SCIENTIFIC REPORTS
(2023)
Article
Economics
Fatemeh Nazari, Abolfazl (Kouros) Mohammadian
Summary: Vehicle use models often overlook individuals' attitudes and lifestyle preferences, leading to biased results. To address this issue, this study introduces a latent class regression model that classifies vehicle use observations based on heterogeneous preferences and estimates class-specific vehicle-miles of travel (VMT). Applying this model to a dataset from California, three latent classes are identified, providing insights into policies aimed at reducing VMT through fuel cost increase and telework promotion.
Article
Engineering, Civil
Fatemeh Nazari, Mohamadhossein Noruzoliaee, Abolfazl (Kouros) Mohammadian
Summary: Electric vehicles offer a sustainable solution to reducing negative emissions caused by conventional vehicles. Despite advancements in battery technology and charging infrastructure, widespread adoption of electric vehicles remains limited. This study investigates household decision-making on vehicle transactions and fuel types, highlighting the influence of household demographics and several latent constructs.
TRANSPORTATION RESEARCH RECORD
(2023)
Proceedings Paper
Automation & Control Systems
Mohammadjavad Javadinasr, Abolfazl (Kouros) Mohammadian, Amirbahador Parsa
Summary: This study introduces a data-driven optimization approach to determine the optimal stop-skip pattern in urban rail transit lines. It uses a deep learning model to predict demand rates and aims to minimize passengers' total travel time to improve service performance.
INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2022: APPLICATION OF EMERGING TECHNOLOGIES
(2022)
Proceedings Paper
Green & Sustainable Science & Technology
Mohammadjavad Javadinasr, Sina Asgharpour, Ehsan Rahimi, Abolfazl (Kouros) Mohammadian, Joshua Auld
Summary: This article investigates the factors affecting future intention to use e-scooters and examines the effects of individual characteristics. The findings provide valuable insights into the long-term usage of shared e-scooters.
INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2022: TRANSPORTATION PLANNING AND WORKFORCE DEVELOPMENT
(2022)
Article
Economics
Ali Shamshiripour, Ehsan Rahimi, Abolfazl (Kouros) Mohammadian, Joshua Auld
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2020)