Article
Transportation
Xiao Qin, Feng Zhen, Suping Guo, Jia Tang
Summary: Currently, there is insufficient research on college students' public bicycle travel behavior and the construction of university towns. This study focuses on the spatiotemporal characteristics of college students' public bicycle travel and the influencing factors of its built environment, using Xianlin University Town in Nanjing, China as an example. The results show that travel area, time period, and duration are related to the campus layout and the number of surrounding facilities. This study proposes suggestions for optimizing the layout of public bicycle stations, adjusting the internal space function of the campus, and constructing public service facilities.
TRAVEL BEHAVIOUR AND SOCIETY
(2023)
Article
Economics
Eleonora Sottile, Giovanni Tuveri, Francesco Piras, Italo Meloni
Summary: University students' mobility, especially non-commuting tours, plays a significant role in travel demand. This study focuses on comparing commuting and non-commuting tours, analyzing non-commuting patterns, and identifying factors affecting tour generation among university students. Results show that non-commuting tours account for a considerable proportion of total tours, and there is no significant difference in tour characteristics between different areas.
Article
Psychology, Multidisciplinary
Shanshan Li, Chenyu Liu, Zhusheng Wu, Ying Ma, Baoxia Chen, Shiying Gao, Zichao Chen, Shuang Xin
Summary: The COVID-19 pandemic has had an impact on the tourism industry and the travel motivations and intentions of university students. This study explores the influence of perceptions of positive COVID-19 information on travel motivation and intention, and identifies perceived behavioral control as the mediating variable. The findings contribute to understanding the effects of the pandemic on tourism and provide insights for the formulation of recovery strategies in the industry.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Public, Environmental & Occupational Health
Jordan Akritidis, Sarah L. McGuinness, Karin Leder
Summary: This study aimed to describe the factors influencing risk-taking willingness, risk perceptions, and future health-seeking intention among student travelers. The study found that willingness to take risks was influenced by factors such as age, nationality, travel experience, and perception of COVID-19 risk. Risk perception was influenced by factors such as age, perception of COVID-19 risk, and intention to seek travel advice in the future.
TRAVEL MEDICINE AND INFECTIOUS DISEASE
(2023)
Article
Economics
Anders Bondemark
Summary: The relationship between the built environment and travel choices is complex and varies among individuals. It is unclear whether this relationship is driven by residential self-selection or is a response to the environment. In this study, weaker preferences for active travel modes were found to have a weaker response to the walkability of the built environment compared to those with stronger preferences. Understanding these differences contributes to our knowledge of how the built environment can influence mode choice.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Psychology, Multidisciplinary
Rita Takacs, Szabolcs Takacs, Judit T. Karasz, Zoltan Horvath, Attila Olah
Summary: The study investigated the psychological coping skills of university students from three different age groups, with results showing that students from 2004 had significantly higher scores in the self-regulation subsystem compared to pre-Covid and post-Covid groups, suggesting a decline in students' psychological immune capacity over the years.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Public, Environmental & Occupational Health
Yihang Bai, Mengqiu Cao, Ruoyu Wang, Yuqi Liu, Seunghyeon Wang
Summary: This study explores the link between street greenery and active travel behavior of students on closed university campuses in China and finds a positive association between street greenery on campuses and active travel among university students. It also reveals that the mode of travel affects active travel behavior.
JOURNAL OF TRANSPORT & HEALTH
(2022)
Article
Multidisciplinary Sciences
Joaquin Osorio Arjona, Julia de las Obras-Loscertales Samperiz
Summary: This study aims to evaluate the effectiveness of Big Data sources, such as mobile phone records, in analyzing mobility patterns and population changes in Spain during the COVID-19 pandemic. Mobile phone data provided by the National Institute of Statistics for four different phases of the pandemic were used to create Origin-Destination matrices and estimate population at the spatial level. The results demonstrate consistent patterns, including population decline during periods of confinement measures, indicating the usefulness of mobile phone records for demographic and mobility studies during pandemics.
SCIENTIFIC REPORTS
(2023)
Article
Public, Environmental & Occupational Health
Michiyo Yamakawa, Yuko Tanaka, Sachi Tomokawa
Summary: The lack of overseas travel experience and being male are associated with a lower frequency of handwashing, which should be emphasized in pretravel hygiene interventions.
TRAVEL MEDICINE AND INFECTIOUS DISEASE
(2023)
Article
Environmental Sciences
Julia Dratva, Aylin Wagner, Annina Zysset, Thomas Volken
Summary: The study found that one third of young students have decided to get the COVID-19 vaccine, while 68% are still unsure. In addition, vaccination history, trust in vaccination strategy, and 5C dimensions are associated with vaccination intention.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Public, Environmental & Occupational Health
Sabrina Baldofski, Ezgi Dogan-Sander, Sophia E. Mueller, Freia De Bock, Lena Huebl, Elisabeth Kohls, Christine Rummel-Kluge
Summary: This study investigates students' attitudes towards the COVID-19 pandemic, compares attitudes between university students and the general population, and examines predictors of vaccination intention in both samples. The results show that university students are more worried about the virus and perceive it as overrepresented in the media compared to the general population. University students also have a more supportive attitude towards vaccinations and a higher vaccination intention. Regression analyses reveal that vaccination intention is influenced by factors such as having children, attitude towards vaccinations, belief in media representation of the virus, and level of concern about the virus. These findings highlight the importance of considering different population or age groups when designing vaccination campaigns.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Green & Sustainable Science & Technology
Branka Trcek, Beno Mesarec
Summary: The study conducted at the University of Maribor focused on commuting behavior, particularly at the four technical faculties. The research analyzed questionnaire surveys and transport policies implemented from 2010 to 2020. The findings revealed a shift towards active commuting among students and a decrease in car use. Gender differences were observed, with female students more likely to walk and male students more likely to cycle or drive. Staff commuting patterns remained unchanged, with no significant gender difference. The mode shifts were influenced by trip origins, bus subsidies, parking availability, and fees. The study emphasized the importance of coordinating transport policies with housing policies for more effective results.
Article
Geography
Megan Daigle
Summary: This article explores how everyday emotional, affective, and sexual practices in the Cuban setting become a fertile ground for resistance, as well as a tool to disrupt and enact structures of the border. By examining pleasure as a powerful and political force, the intimate sphere is revealed as a productive and radically relational mode, highlighting its potential as a site of resistance against geopolitical, ideological, and sexual borders.
Article
Green & Sustainable Science & Technology
Shifeng Wu, Emily Ma, Jiangyun Wang, Dan Li
Summary: This study examines the influence of various features of travel apps on university students' experience and travel intentions, finding that ease of use has a stronger impact on students' attitude, perceived behavioral control, and travel intention.
Article
Economics
Seyedeh Sara Maljaee, Melody Khadem Sameni
Summary: Identifying and examining factors affecting subway use is crucial for developing countries dealing with high levels of car use and its consequences. A survey of students in the capital of Iran revealed that gender, education level, and being an only child have the greatest impact on private car usage. These factors did not significantly influence students' mode choice before the COVID-19 pandemic, but the outbreak has shifted priorities, with hygiene and social distancing becoming top concerns. Travel time and cost have become less important, resulting in a significant decrease in subway use. Policymakers should prioritize attention to women, undergraduate students, and single children who are more likely to use private cars.
JOURNAL OF TRANSPORT GEOGRAPHY
(2022)
Article
Transportation
Xing Fu, Qifan Nie, Jun Liu, Asad Khattak, Alexander Hainen, Shashi Nambisan
Summary: This study aims to construct spatiotemporal driving volatility profiles to assist CAVs or drivers in identifying potential hazards and making proactive driving decisions. These profiles, based on historical traffic dynamics, are related to driving performance and matched to the spatial and temporal occurrence of historical traffic crashes.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation
Behram Wali, Asad J. Khattak, Jun Liu
Summary: This study explores the relationship between traffic incident duration and various factors, highlighting the importance of unobserved heterogeneity in predicting incidents. Quantile regression models help in designing response strategies for incidents of different scales.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Ergonomics
Behram Wali, Numan Ahmad, Asad J. Khattak
Summary: This study compares the injury severity score (ISS) and the new injury severity score (NISS) in capturing injuries of multiple injured riders and predicting clinical outcomes post motorcycle crash. The results show that the NISS has better performance in differentiating survivors and non-survivors and in predicting trauma status. This underscores the importance of accounting for microscopic body-part-level injury data in motorcycle crashes.
JOURNAL OF SAFETY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Zulqarnain H. Khattak, Asad J. Khattak
Summary: This study found that higher gasoline prices contribute to the adoption of battery electric vehicles, while the perceived disadvantages of AFVs for long commutes hinder their wider adoption. Additionally, consumers who frequently use the internet are more likely to purchase hybrid vehicles. West Coast residents are a significant portion of early adopters and are more inclined to purchase hybrids rather than battery electric vehicles.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Green & Sustainable Science & Technology
Zulqarnain H. Khattak, Asad J. Khattak
Summary: Travel increases with urban sprawl, leading to congestion and emissions. The development of new technologies like Mobility as a Service (MaaS) provides alternative transport options including ride-hailing, carsharing and bike sharing. The study investigates the travel choices and shared use of electric and hybrid vehicles in MaaS, finding that ride-hailing involving these vehicles can reduce greenhouse gas emissions. Factors like personal interest in technologies influence the use of alternative fuel vehicles (AFVs) for travel. This research has implications for policy decisions and promoting the purchase and shared mobility use of AFVs for MaaS.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2023)
Article
Transportation
Zulqarnain H. Khattak, Jackeline Rios-Torres, Michael D. Fontaine, Asad J. Khattak
Summary: Advancements in sensing technology have allowed for the collection of extensive driving behavior data, which can be used for real-time monitoring and identification of safety critical events. This study developed a deep learning approach using convolutional neural networks to infer such events, finding that shallow CNN architectures performed better in detection accuracy.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Transportation
Licheng Zhang, Kun Peng, Xiangmo Zhao, Asad J. Khattak
Summary: A novel computational model was developed to improve eco-driving in intelligent transportation systems. The model accurately predicted fuel consumption by dividing the volatile state into eight types and considering instantaneous driving decisions. It outperformed existing models in new routes with lower errors.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Ergonomics
Numan Ahmad, Ramin Arvin, Asad J. Khattak
Summary: This study investigates the impact of different driving errors, violations, and roadway environments on the instability of driving speed, which contributes to safety-critical events. The findings show that driving errors and violations not only directly increase the risk of events but also indirectly through the instability in driving speed.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Ergonomics
Yangsong Gu, Diyi Liu, Ramin Arvin, Asad J. Khattak, Lee D. Han
Summary: This study investigates a new Artificial Intelligence technique called Geographical Random Forest (GRF) to accurately predict rear-end crash frequency at intersections. The results show that the proposed GRF outperforms Global Random Forest in terms of test error and fit, and identifies key indicators of rear-end crashes.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Ergonomics
Numan Ahmad, Behram Wali, Asad J. Khattak
Summary: This study aims to improve the prediction accuracy of crash frequency on roadway segments by using statistical and machine learning methods, with stacking being the most accurate and robust technique. The study applies stacking to model crash frequency on urban and suburban arterials, comparing its performance with other statistical models and machine learning techniques. Results show that stacking outperforms the alternative methods in terms of prediction accuracy.
JOURNAL OF SAFETY RESEARCH
(2023)
Article
Engineering, Civil
Laura Harris, Numan Ahmad, Asad Khattak, Subhadeep Chakraborty
Summary: The objective of this work was to determine the effect of visibility-related factors and some environmental and human factors on the severity of pedestrian-vehicle crashes. It was found that higher speed limits, less light conditions, and no traffic controls were significantly correlated with increased pedestrian injury severity. Dusk and dark with or without lighting were also factors correlated with increased pedestrian injury severity, while inclement weather was correlated with lower pedestrian injury severity.
TRANSPORTATION RESEARCH RECORD
(2023)
Article
Ergonomics
A. Latif Patwary, Asad J. Khattak
Summary: Major concerns have been raised about the increase in crash fatalities during the COVID-19 pandemic in the US, despite the decrease in traffic. This study analyzes the correlation between fatalities, crashes, and crash harm using a comprehensive time-series database in Tennessee. The results indicate that fatal crashes during the pandemic are associated with more speeding and reckless behaviors, varied across jurisdictions, and involve commercial trucks. Policymakers can use these findings to strengthen traffic law enforcement through appropriate countermeasures.
ACCIDENT ANALYSIS AND PREVENTION
(2023)
Article
Computer Science, Artificial Intelligence
Cheng Wei, Fei Hui, Asad J. Khattak, Yutan Zhang, Wenbo Wang
Summary: Virtual simulation testing has become the main method for testing autonomous driving systems and algorithms. This study proposes a method for batch generating human-like behavior and trajectory data for background vehicles, improving the coverage and reliability of virtual simulation testing.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Ergonomics
A. Latif Patwary, Antora Mohsena Haque, Iman Mahdinia, Asad J. Khattak
Summary: Recent research has explored the relationship between disadvantaged communities and traffic safety by analyzing census data. The findings suggest that factors such as health, resilience, and transportation barriers are associated with more fatal crashes, while a higher percentage of the population with bachelor's degrees and increased use of public transportation are correlated with fewer fatal crashes. Additionally, disadvantaged census tracts with a higher proportion of Hawaiian or other Pacific Islander, and American Indian or Alaska Native populations have a higher rate of fatal crashes. These insights are important for developing more equitable traffic safety interventions.
ACCIDENT ANALYSIS AND PREVENTION
(2024)
Article
Green & Sustainable Science & Technology
Xiaobing Li, Qinglin Hu, Jun Liu, Shashi Nambisan, Asad J. Khattak, Abhay Lidbe, Hee Yun Lee
Summary: The study indicates that Body Mass Index (BMI) is closely related to health risks, and active travel modes may be an important factor affecting BMI. Community design and environmental features have a certain impact on travel behavior, thus indirectly affecting health. Health benefits may be reduced due to the influence of these factors.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2022)
