Article
Economics
Minju Kim, Nicholas Puczkowskyj, John MacArthur, Jennifer Dill
Summary: This study analyzes three years of survey data on e-scooter ridership in Portland, Oregon to understand the characteristics and trends of e-scooter riders. The findings show that since the introduction of e-scooters in 2018, people have been using their previous modes of transportation less frequently, with vehicle trips being consistently replaced by e-scooter trips. The study also reveals that in 2020, e-scooters were primarily used for utilitarian purposes, work/school trips, and commuting, replacing recreational trips. Additionally, e-scooters were found to help reduce vehicle miles traveled by replacing car and ride-hail/taxi trips.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Green & Sustainable Science & Technology
Remy Le Boennec, Frederic Salladarre
Summary: This paper analyzes the use of micromobility modes for commuting, distinguishing between monomodality and multimodality. The survey results show that micromobility commuting is marginal in the four European countries studied, and primarily involves male, young, and urban commuters. The study also finds that travel habits account for a significant portion of the explained variability in the model.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Matteo Bohm, Mirco Nanni, Luca Pappalardo
Summary: This study used GPS traces and a microscopic model to analyze the emissions from thousands of private vehicles in three European cities, identifying gross polluters and grossly polluted roads. The research showed that emissions reduction policies targeting gross polluters are more effective than general vehicle restrictions.
NATURE SUSTAINABILITY
(2022)
Article
Economics
Domokos Esztergar-Kiss, Daniel Tordai, Julio C. Lopez Lizarraga
Summary: Micromobility is an alternative option for urban transportation that can contribute to sustainable development. This study investigates individual preferences towards e-scooters and finds that Barcelona and Tel Aviv have a higher expectation for e-scooter usage, while Munich, Stockholm, and Copenhagen show less interest. Additionally, the study reveals that Munich, Tel Aviv, and Barcelona are more price-sensitive, and all cities have low time sensitivity.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2022)
Article
Environmental Studies
Louis A. Merlin, Xiang Yan, Yiming Xu, Xilei Zhao
Summary: The study found that street segments near tourist sites, hotels, and transit stops attract the most e-scooter trip destinations, while the availability of e-scooters mainly determines the starting points of scooter trips. Areas with higher e-scooter usage rates are typically younger and more educated populations.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2021)
Article
Public, Environmental & Occupational Health
Alexandra Bretones, Oriol Marquet
Summary: This study aims to explore the association between conventional and electric micromobility modes and daily physical activity levels in an adult population in Barcelona. The results showed that bike users and users of mixed modes reported higher daily time spent in moderate-to-vigorous physical activity (MVPA) compared to other users. Electric scooter users and non-micromobility users had the lowest mean daily levels of MVPA. In terms of light activity levels, users of mixed modes and electric scooters had the highest mean daily levels.
JOURNAL OF TRANSPORT & HEALTH
(2023)
Article
Transportation Science & Technology
Ali Ghafelebashi, Meisam Razaviyayn, Maged Dessouky
Summary: This paper proposes an alternative approach to reduce traffic congestion and improve routing efficiency by offering personalized incentives to drivers. By utilizing smart devices to communicate with drivers and developing an incentive mechanism based on individuals' preferences and aggregate traffic information, a large-scale optimization problem is solved to minimize total travel time or any cost function of the network. The performance of the algorithm is evaluated using traffic data from the Los Angeles area, showing a congestion reduction of up to 5% on arterial roads and highways.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Huibin Chang, Debarshi Indra, Abhradeep Maiti
Summary: This study explores the heterogeneity in the elasticity of vehicle miles traveled (VMT) to highway capacity, finding that expanding road capacities have a greater impact on areas with low VMT. The research conducted in the Greater Los Angeles region shows that the elasticity of VMT to capacity is 0.32, and building more roads does not change the mean or median congestion level across cities.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Multidisciplinary Sciences
Niaz Mahmud Zafri, Sadia Afroj, Mohammad Ashraf Ali, Md. Musleh Uddin Hasan, Md. Hamidur Rahman
Summary: The study in Dhaka, Bangladesh aimed to determine the effectiveness of containment strategies and local cognition in controlling traffic volume during the COVID-19 pandemic. It found that declaring a general holiday and closing educational institutions significantly increased the average daily journey speed, indicating reduced traffic movement. Local cognition did not have a significant impact on traffic condition, while the month of Ramadan was found to increase the average daily journey speed significantly.
Article
Ergonomics
Rebecca B. Naumann, Nasim S. Sabounchi, Jill Kuhlberg, Bhavna Singichetti, Stephen W. Marshall, Kristen Hassmiller Lich
Summary: This study uses a system dynamics model to explore the impact of congestion pricing policy on pedestrian injuries and finds that infrastructure improvements and speed management interventions can reduce congestion and improve safety. However, certain pricing configurations may lead to more pedestrian injuries.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Environmental Studies
Kairui Feng, Ning Lin
Summary: Hurricane evacuation modeling is challenging due to limited evacuation data and the complexity of human decision-making and travel behavior. However, we have built a system that can rapidly predict hurricane evacuation traffic flow by integrating hurricane forecasting, evacuation orders, road network, and population information. We have evaluated and calibrated the model using traffic observations from Hurricane Irma, and it skillfully captures spatial and temporal evacuation features, which can be applied to support evacuation management. Our analysis also suggests that minor adjustments to evacuation orders can significantly alleviate traffic congestion during hurricanes.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Green & Sustainable Science & Technology
Ghada Alturif, Wafaa Saleh
Summary: Car ownership and use are high in Saudi Arabia due to high income, low fuel prices, and lack of public transportation. The country aims to reduce car dependency and promote sustainable travel options, such as public transportation. To achieve this, decent public transportation options need to be provided and travel behavior needs to be influenced. An online survey was conducted in Riyadh to assess Saudi nationals' attitudes towards pricing measures and their impact on travel behavior, with the highest support found for measures improving road safety, reducing travel times, and reducing congestion in the city.
Article
Economics
Ding Wang, Mohammad Tayarani, Brian Yueshuai He, Jingqin Gao, Joseph Y. J. Chow, H. Oliver Gao, Kaan Ozbay
Summary: The study addresses the challenges COVID-19 poses to transportation in the post-pandemic era, highlighting how social distancing requirements may worsen traffic congestion and emissions. While effective in reducing contact exposure, social distancing policies negatively impact congestion and emissions in Manhattan and surrounding areas. Telework aids in reducing citywide congestion and emissions, but has greater negative impacts in Manhattan due to social distancing and behavioral inertia.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Economics
Nicolas Coulombel, Emmanuel Munch, Cyril Pivano
Summary: This study investigates the congestion relief potential of staggered work hours (SWH) schemes for public transit. A framework combining a hybrid assignment model with a travel demand management module is developed to simulate the impact of SWH schemes on travel demand and public transit congestion. The findings suggest that SWH schemes can effectively alleviate congestion, but the benefits are moderate and come with substantial rescheduling costs. The study also provides insights for policy design, recommending the focus on shifting a small number of users by a large amount of time rather than a large number of users by a small amount of time.
Article
Economics
Razieh Nadafianshahamabadi, Mohammad Tayarani, Gregory Rowangould
Summary: The adoption of AVs is likely to increase travel demand and greenhouse gas emissions, but also decrease congestion. Most of the population can expect a reduction in exposure to toxic vehicle emissions.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)