Transportation

Article Transportation

Expected long-term impacts of the COVID-19 pandemic on travel behaviour and online activities: Evidence from a Czech panel survey

Hana Bruhova Foltynova, Jan Bruha

Summary: The outbreak of the COVID-19 pandemic and the counter-pandemic measures have significantly reduced mobility. This study examines the long-term effects of the pandemic on work from home and online shopping. The findings suggest that there will be a long-term increase in these activities compared to pre-pandemic levels, while physical trips to work and shops are expected to decrease.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Decomposition of travel time expenditure through individual mobility trajectories based on mobile phone signaling data

Younshik Chung, Sanggi Nam

Summary: This study explores the concept of travel time expenditure using mobile phone signaling data and achieves better spatiotemporal precision than traditional household survey data. However, collecting and cleaning the raw data requires tremendous effort.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Disabled people's accessible taxi experiences in Toronto, Canada

Elyse Comeau, Siobhan Kelly, Yani Hamdani, Timothy Ross

Summary: This paper presents findings from a study on how disabled people experience accessible taxi services. The study analyzed customer complaint reports and driver-reported incident reports, highlighting the temporal experiences of disabled riders and the ableist aspects of accessible taxi services that contribute to barriers faced by disabled passengers.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Review Ergonomics

Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

Yasir Ali, Fizza Hussain, Md Mazharul Haque

Summary: Accurately modeling crashes and predicting their occurrence and severities are crucial for effective road safety management strategies. This review paper systematically examines machine learning studies on crash modeling, highlighting gaps and future research needs. The review emphasizes the importance of understanding state-of-the-art machine learning-based crash prediction models and leveraging big data to improve our understanding of crash mechanisms.

ACCIDENT ANALYSIS AND PREVENTION (2024)

Review Economics

Integrating equity in transportation scenario planning: A systematic review

Meiyu (Melrose) Pan, Stephen Wong, Francis Tainter, Steve Woelfel, Alyssa Ryan

Summary: This paper presents a systematic literature review on how equity has been considered and evaluated in scenario planning. The findings suggest the need for more vertical equity evaluations, the construction of robustness and justice indicators, and the adoption of a flexible mindset of planning for various scenarios. This work adds value to the existing body of knowledge and has important policy implications for future transportation planning.

TRANSPORT POLICY (2024)

Article Ergonomics

Investigating transportation safety in disadvantaged communities by integrating crash and Environmental Justice data

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 Economics

Broad support vs. deep opposition: The politics of bus rapid transit in low-and middle-income countries

Nicholas Goedeking

Summary: This paper addresses the politics of bus rapid transit (BRT) in low- and middle-income countries, providing new insights through expert interviews and proposing two analytical frameworks. The first framework highlights the contentious nature of BRT proposals, while the second framework challenges the conventional view on the durability of BRT systems.

TRANSPORT POLICY (2024)

Article Transportation

A behavioural analysis of post-pandemic modality profiles for non-commuting trips in the greater Toronto Area

Felita Ong, Patrick Loa, Khandker Nurul Habib

Summary: This paper analyzes the post-COVID19 modal preferences among residents of the Greater Toronto Area. The study finds that a return to pre-pandemic levels of public transit can be expected, while private vehicles and active modes will continue to increase post-pandemic. Ride-sourcing and taxi services are likely to play a diminished role. Policies promoting active modes are crucial in maintaining the increased role of walking and cycling and potentially attracting car users post-pandemic.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Changes in commuting mode and the relationship with psychological stress: A quasi-longitudinal analysis in urbanizing China

Yinhua Tao, Maarten van Ham, Ana Petrovic

Summary: Emerging longitudinal research in urban China shows that car and active commuting are associated with lower levels of psychological stress, while long-duration motorized commuting trips by car or public transport predict higher stress levels. Moreover, high-urbanicity areas with more active commuting trips and short motorized commuting trips have better long-term psychological wellbeing. In contrast, medium urbanicity areas with long-duration public transport commuting face higher commuting-related stress risks.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Unveiling the roles of public bike systems: From leisure to multimodal transportation

Xuan Li, Jaehyun Ha, Sugie Lee

Summary: This study investigates the functions of public bikes as both transportation and leisure tools, as well as their interactions with the public transit system. By utilizing real-world data, data mining techniques, and spatial feature engineering, the authors identify four categories of public bike trips and analyze their characteristics, spatial-temporal distribution, and determining factors. The findings reveal significant heterogeneity among these categories and suggest the importance of considering the diverse needs of citizens when planning and operating bike-sharing systems.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Economics

Maximum capture problem based on paired combinatorial weibit model to determine park-and-ride facility locations

Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon

Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2024)

Article Transportation

How do attitudes and impacts of Covid-19 affect demand for microtransit?

Tomas Rossetti, Melissa Ruhl, Andrea Broaddus, Ricardo A. Daziano

Summary: The Covid-19 pandemic has had a significant impact on the demand for public transportation and shared mobility services. However, more affordable forms of shared mobility, such as microtransit, may be able to rebound faster. A survey conducted on 2,400 residents in four US cities found that there is no correlation between the impact of Covid-19 and interest in microtransit. The results suggest that the pandemic may not have as large of an impact on shared mobility as expected and that services like microtransit could see demand at or above pre-pandemic levels.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Understanding high-speed rail users in the US - Environmental and sustainability perspectives

Jing Yu Pan

Summary: The study found that safety, accessibility, and environmental impact significantly influenced the perceived sustainability and intention to travel by high-speed rail (HSR). Environmental factors were better predictors of environmental consideration among US travelers compared to demographic and travel characteristics, indicating a relatively high level of green travel awareness and potential acceptance and intention towards HSR.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

An adaptive greedy heuristic for large scale airline crew pairing problems

Bahadir Zeren, Ender Ozcan, Muhammet Deveci

Summary: Crew pairing is crucial for airline companies to generate optimized schedules and reduce crew costs. This study proposes score-based adaptive greedy heuristic and genetic algorithm methods to solve large scale crew pairing problems.

JOURNAL OF AIR TRANSPORT MANAGEMENT (2024)

Article Transportation

Daily trip making during the COVID-19 pandemic: A national survey of older adults in the United States

E. Eric Boschmann

Summary: COVID-19 pandemic greatly reduced the daily mobility of older adults, particularly females, persons with disabilities, and those who rely on car passenger as their primary mode of transportation. Although daily mobility declined, most older adults maintained relatively high quality of life and mobility satisfaction during the pandemic.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Accessible taxi routing strategy based on travel behavior of people with disabilities incorporating vehicle routing problem and Gaussian mixture model

Eun Hak Lee, Jonghwa Jeong

Summary: The government of Seoul has implemented accessible taxis, following the Convention on the Rights of Persons with Disabilities established by the United Nations in 2006. This study aims to find an optimal routing strategy for accessible taxis by classifying people with disabilities (PWD) into short-distance and long-distance groups and operating corresponding taxis. The proposed strategy showed a reduction in total wait time and operating distance of accessible taxis compared to the current strategy.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Economics

Modelling benefit-to-cost ratio for initial phase electrification using battery electric bus

Utsav Panta, Pranav Gairola, N. Nezamuddin

Summary: Electric buses are being considered as an important part of future urban transportation systems due to concerns regarding environmental pollution, greenhouse gas emissions, and depleting petroleum resources. However, the transition process requires substantial financial resources. To assist decision-making within financial constraints, an optimization framework has been developed. This framework focuses on maximizing the benefit-to-cost ratio by evaluating fuel savings and emissions reduction when transitioning to electric buses. The framework has been tested in Delhi, India and suggests that at least 30% of the electricity should come from clean energy sources to maximize the environmental benefits of bus electrification. This framework is an important tool for public transit agencies in planning the initial phases of bus electrification.

TRANSPORT POLICY (2024)

Article Transportation

Evaluation of energy-environmental-economic benefits of CNG taxi policy using multi-task deep-learning-based microscopic models and big trajectory data

Bi Yu Chen, Qi Liu, Weishu Gong, Jia Tao, Hui-Ping Chen, Fu-Rong Shi

Summary: This study proposes a new multi-task deep-learning-based microscopic model for estimating vehicular carbon dioxide (CO2) emissions and fuel consumption simultaneously. Empirical results show that taxis replacing gasoline with natural gas can significantly reduce CO2 emissions and fuel costs.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Locating new docked bike sharing stations considering demand suitability and spatial accessibility

Wendong Chen, Xuewu Chen, Long Cheng, Jingxu Chen, Sui Tao

Summary: This study proposes a three-stage framework to determine the appropriate locations for new docked bike sharing (DBS) stations. It explores the factors influencing DBS usage, assesses the ease of access to DBS services, and locates new stations based on demand and accessibility. A case study in Nanjing, China shows that ten new stations can expand the service area while meeting suitability and accessibility conditions. The findings provide a useful tool for transportation planners and policymakers to achieve an equitable and profitable DBS system.

TRAVEL BEHAVIOUR AND SOCIETY (2024)

Article Transportation

Evaluating transit mode choice in the context of the COVID-19 pandemic - A stated preference approach

Sam Pollock, Kaushan W. Devasurendra, Adam Weiss, Alexandre de Barros, S. C. Wirasinghe, Lina Kattan

Summary: This study examines the impact of different safety measures, pandemic risk levels, transit service characteristics, crowding, and demographics on the attractiveness of public transit based on a survey conducted in Calgary, Canada. The results indicate that implementing mandatory masking policies and reducing in-vehicle crowding can attract riders to public transit, while safety measures such as backdoor boarding and daily deep cleaning have limited impact. Higher pandemic risk levels, gender, age, and vaccination status also influence the attractiveness of public transit.

TRAVEL BEHAVIOUR AND SOCIETY (2024)