Many traffic deaths and injuries are related to speeding. Thus, establishing speed limits and enforcing them are fundamental measures for promoting safe traffic. It is known that automatic speed enforcement, in particular, the average speed enforcement, effectively counters excessive speeds. In Brazil, only on site inspection of speed is regulated. Thus, testing the effectiveness of other countermeasures

To improve the energy efficiency and reduce emissions of motor vehicles, this study tests and compares five machine learning algorithms in conjunction with three sets of feature indicators to establish an assessment model for the ecological nature of lane-changing behavior. The model combining the Extreme Gradient Boosting (XGBoost) algorithm and the Trend Feature Symbolic Aggregate Approximation (TFSAX)

Sustainability strategies have called for dense and accessible neighborhood designs to facilitate convenient access to desirable destinations for all, with a particular attention to transportation-disadvantaged populations such as older adults (aged 65 and older). However, few studies have examined and compared whether compact designs could help address the mobility needs of older people in automobile-

Bike and e-scooter sharing schemes are an emerging addition to modern urban mobility systems. The research aims to identify the mobility and sociodemographic user profile of bike and e-scooter sharing and understand the key determinants of people’s intention to use these modes in the future.To consider the effect of local context on shared micromobility usage, the study exploited survey data (N = 

This research presents an analytical model for the coupled design of an urban transit network and an interurban one supported by park-and-ride facilities. The former network facilitates the mobility in the centre of the metropolitan area while the interurban services satisfy the centripetal connections from the metropolitan outskirts where park-and-rides are scattered. These three components of the

As a way of decreasing car ownership and use, one of the significant causes of road passenger transport-related emissions, a growing number of municipalities in Sweden and globally promote car- and bike-sharing by implementing Flexible Parking Requirements. Evaluations of how these requirements affect mobility patterns among residents are emerging. Still, research on the implications for the carsharing

This paper reports research aimed at understanding how working-from-home (WFH) can assist in a transition towards more sustainable urban mobility through travel reduction. A case study of Greater Perth, Western Australia reports empirical research conducted between 2021 and 2022 during the COVID-19 pandemic. Data is drawn from interviews with employers, a three-wave survey of employees, and transport

Railway level crossings (RLCs) pose unique safety challenges as crucial intersections between vehicular traffic and railways. This study examines the effects of driver behavior on the safety performance of RLCs (within a 150-meter radius) in New South Wales, Australia. Historical databases on crashes, train operations, and inventory for RLCs were integrated. Also, vehicle movement raw data, including

Recently, the adoption of micromobility as an alternative mode of transportation on a large scale has been growing rapidly. However, its operational and safety aspects have not been extensively investigated in the literature. Following this purpose, we developed a novel methodology that aims at evaluating priority areas for shared micromobility system users’ accident risk mitigation based on predicted

Modular autonomous bus technology is highly anticipated to be introduced into public transit systems with a gradually increasing market penetration, and it will be operated within a multimodal public transport system with a mixed fleet of autonomous buses and conventional human-driving buses. This study establishes a bi-level programming model for the coordinated optimization of hybrid transit system

In the United States (U.S.), cars play a key role in facilitating mobility. Americans heavily rely on their cars for daily travel due to the benefits of access, convenience, comfort, and autonomy that private vehicle travel offers. However, the potential negative implications of high rates of car ownership and use for wellbeing, sustainability, and social equity have sparked the interest of many scholars

We use the travel diaries and other information in the 2018 Regional Travel Survey from the Washington DC metro area to examine the ownership and driving patterns of battery vehicles (EVs, comprised of BEVs and PHEVs) used for personal transportation purposes. We find that the households that own EVs are wealthier, own more vehicles, and have more family members and more working family members. Probit

This study aims to identify high emissions of CO2 and NOX from gasoline passenger cars based on PEMS data by introducing a concept of emission state, and investigate their correlations with driving behaviors. The clustering approach of K-means++ was employed to classify the instantaneous mass emission value and emission rate under various road types, respectively. A novel identification indicator (i

The global COVID-19 pandemic of 2020–2022 precipitated a significant transformation in leisure and shopping travel patterns. This study leverages data from the Puget Sound Regional Travel Study conducted in 2017, 2019, and 2023 to investigate these changes. Utilizing rigorous statistical analyses, including conditional mixed-process modeling, our empirical results indicate that the share of trips made

Pedestrian safety warrants significant attention, specifically red-light violation behavior at these two-stage signalized crossings. Distinct from pedestrian behaviors at one-stage crossings, the decision-making processes at two-stage signalized intersections can be influenced by the signal conditions of the subsequent crossing stage. Moreover, the rational assessment of trade-offs between time and

Many concepts of the post-pandemic urban neighbourhood transitioning into a socio-ecological and resilient future centre on walking. However, the lived experiences of walking – beyond frequencies, rationalities or specific features of the built environment – are less reflected in these concepts. This paper studies the dynamics of walking and its entanglements with practices of everyday life in an urban

Despite the huge progress toward fully autonomous vehicles, current models are limited to Level 3 autonomy due to technological constraints, making driver readiness necessary for manual intervention. Head-up displays (HUDs) enhanced with augmented reality (AR) technologies are being developed to improve safety and convenience by projecting essential information onto windshields, thereby minimizing

Road accidents globally have an 18 % fatality rate per 100,000 population, with significant regional variations, particularly affecting Africa. The increasing frequency of oil and gas tanker accidents in Nigeria exemplifies this trend, highlighting the need to explore the relationship between risk perception, driving task perception, and road safety attitudes among Nigerian oil and gas tanker drivers

Value of travel time (VOT) serves as a crucial metric for understanding the benefits of transport investments and policy initiatives. Despite numerous studies estimating the VOT for Autonomous Vehicles (AVs), consensus remains elusive, and the variability of the factors influencing AV VOT estimates has yet to be thoroughly explored. This study addresses these gaps through a meta-regression analysis

This paper focuses on the tour-based mode choice pattern of the post-secondary students of the Greater Toronto and Hamilton Area (GTHA). The data for this study was collected from a detailed online-based survey in the GTHA. Based on the survey data, the mode choice model for two-trip tours and three-trip tours is estimated using a dynamic discrete choice modeling approach. The model results capture

Multimodal integration is an important issue in public transport systems due to its influence on both passenger experience and overall network efficiency. In most countries in the global South, achieving integration is particularly problematic because of the informal nature of most public transport. Decentralised service planning and demand responsiveness lead to often uncoordinated, highly variable

Given the dynamic nature of human behavioral decisions over time, a life course approach is adopted to understand the interdependencies among key events in different life domains including residence, occupation, and car ownership. Based on a combination of binomial logit and decision tree, intertwined relationships for all three domains have been confirmed with respect to a quasi-longitudinal dataset

Recently, Mobility as a Service (MaaS) has garnered increasing attention by integrating various modes of transportation to provide users with a unified travel solution. However, In multimodal transportation planning, we primarily face three challenges: Firstly, a multimodal travel network is constructed that covers multiple travel modes and is highly scalable. Secondly, the routing algorithm fully

Recent years have seen a rapid deployment of shared electric scooters (e-scooters), across hundreds of cities worldwide. Despite the global diffusion, most urban residents are still not using e-scooters, and they often bear the negative consequences of e- scooter deployment. This comparative study investigates the attitudes and characteristics of the e-scooter non-users in Helsinki, Finland and Tokyo

Emotion is an important factor that affects driving behavior, and thus, drivers’ emotions are closely related to overall traffic safety. We investigated the emotional expressions of online car-hailing drivers under two driving conditions: with passenger(s) and without passenger(s). We recruited 16 male car-hailing drivers and collected a total of 91.5 h of data using non-contact equipment. We employed

While the pursuit of sustainable measures to arrest private vehicle usage and externalities continues, poor last-mile connectivity remains a major deterrent for choice riders (car owners) considering the use of public transport. The present study proposes an integrated Bike Taxi-Bus Service (BTBS) system as a solution to last-mile connectivity concerns and investigates the perception of choice riders

Superior safety is the main banner value of promoting autonomous vehicle (AV) technology, but it is difficult to responsibly claim it. The potential for AVs to reduce crash and injury risks would be overshadowed by technological limitations, regardless of their ability to mitigate or eliminate human error. This study aims to identify the key factors affecting crash severity by analyzing real-world

The transport network is a complex system that benefits from detailed data on user mobility. Analyzing user trajectories through clustering or classification methods can provide valuable insights into mobility patterns. Extracting transport modes from these trajectories using classification methods enhances the understanding of user mobility. The complexity of classification methods varies, with some

Leisure activities are closely associated with individuals’ quality of life. In this paper, we are interested in how many leisure trips the individuals have realized and how many trips they schedule but fail to realize due to the inability to accomplish the activity. The realized and unrealized leisure trips are correlated and together constitute leisure needs. To investigate it, a survey was conducted

Given the destructive nature of hurricanes in tropical regions, pre-disaster evacuation has emerged as a critical approach for hurricane preparedness. Nevertheless, the compounding effects of natural hazards and the outbreak of infectious diseases, such as Covid-19, significantly challenge hurricane evacuation management. To investigate emergency responses under compound hazards, this study develops

In the United States (US) and Canada, paratransit refers to transportation services that supplement scheduled, fixed route, mass transit to eligible passengers, namely people with disabilities and a growing number of older adults. This paper presents a critical systematic review of the literature on paratransit in the US and Canada since 2010 (n = 57), investigating what is known about paratransit

Micromobility and public transport integration is an area of urban mobility that has been increasingly gaining attention and importance. The necessity to provide improvements to public transport services and their spatial reach in order to reduce the number and volume of car trips in cities is irrefutable. The integration of micromobility and public transport is often presented as a valuable strategy

A comprehensive understanding of charging behaviors among electric vehicle users is crucial for advancing green transportation and deploying effective charging infrastructure. This study conducted large-scale empirical research using data from electric taxi fleets in Shenzhen to explore the heterogeneity of charging behaviors among taxi drivers. The study hypothesized that distinct charging patterns

A two-step model framework is proposed and applied to analyze empirically the impact of a travel time reduction on labor supply in two-worker two-gender households, using a nationwide data set for time use collected in 2015 in Chile. First, a system of structural equations (SSE) is estimated to reveal which activities can be considered as committed, and to unveil the hierarchy of activities by gender

Traffic congestion has imposed considerable economic expenses and environmental challenges on metropolitan areas. Consequently, cities have implemented Travel Demand Management (TDM) strategies to mitigate this issue during peak hours. Although studies have investigated how individuals make decisions during commuting in response to TDM incentives, there is limited research on differences in route choices

Time-use surveys provide useful data for travel analyses. However, the survey on time use and leisure activities (TULA) Questionnaire A, a representative time-use survey in Japan, does not include questions related to the locations of activities, thus making it difficult to use for travel analyses. This study proposes machine-learning methods to determine the in-home/out-of-home situations of TULA

Bike-sharing systems play a crucial role in encouraging sustainable transportation, and understanding their usage characteristics is essential for enhancing their contribution to urban mobility. This research seeks to investigate how weather conditions impact the utilization of a small-scale docked bike-sharing system. The study employed Generalized Linear Mixed Effects (GLME) models to analyze interactive

Bike-riding GPS data offers detailed insights and individual-level mobility information which are critical for understanding bike-riding travel behaviour, enhancing transportation safety and equity, and developing models to estimate bike route choice and volumes at high spatio-temporal resolution. Yet, large-scale bicycling-specific GPS data collection studies are infrequent, with many existing studies

Increasing the share of travelers using public transport is one way to address environmental problems such as carbon dioxide emissions. Senior citizens represent an increasingly important group in this transition, as they are increasingly mobile and make up a large share of the population. In this paper, we investigate senior citizen’s mobility decision-making, focusing on public transport. Through

Active Mobility Devices (AMDs) such as electric scooters (e-scooters) and electric bikes (e-bikes) are increasingly used on shared paths and Park Connector Networks (PCNs) in Singapore, leading to frequent interactions between AMD riders, pedestrians, and cyclists. To ensure safety, it is crucial to understand the factors associated with collision risk related to these AMDs. To gain insights into the

As a representative mode of shared mobility, bike-sharing serves not only as a convenient way to conduct short-distance trips in urban areas, but also as a feeder mode to public transit, forming the Bike and Ride (BnR) system. Conducting management for such a hybrid multi-modal system faces various challenges, including the complex interactions between bike-sharing and other modes, highly dynamic passenger

To help automated bus services to be competitive in the market, understanding what factors influence the public’s acceptance and adoption of an automated bus service and how these factors change over time is critical. Various factors affect users’ acceptance of this new bus mode, with the quality of service standing out as a significant consideration. Based on pilot demonstrations, some prior studies

The mobility of persons is changing due to technological innovation linked to autonomous and electric vehicles or to connectivity and data communication technologies. Furthermore, it is being conditioned by social behaviours. Qualitative research based on in-depth interviews with experts in mobility from three European countries is used to analyse the main trends that characterize the current transformation

This study examines the links between neighborhood walkability, household income, and older adults’ walking trips. This study mainly utilizes the detailed individual-level data from the 2017 National Household Travel Survey-California Add-on (2017 NHTS-CA). To understand neighborhood walkability and its effects on older adults’ walking trips, we first classify neighborhoods using K-means clustering

Based on the analysis of one-week GPS-based travel diary data from the four largest metropolitan areas in California, this study performs a latent-class cluster analysis and identifies four distinctive traveler groups with varying levels of multimodality. These groups are characterized by their distinctive use of five travel modes (i.e., single-occupant vehicles, carpooling, public transit, biking

Resilience is a characteristic of a system to adapt, resist and recover from disruptions as defined by the U.S. Federal Highway Administration. The concept has been adopted across several fields of research. Existing literature on roadway network resilience typically frames resilience in terms of performance metrics based on the attributes of the network (travel time or travel distance, for example)

In this paper, a probabilistic topic modeling algorithm called Latent Dirichlet Allocation (LDA) is implemented to infer trip purposes from activity attributes revealed from smart card transit data in an unsupervised manner. While most literature focused on finding patterns for home and work activities, we further investigated non-home and non-work-related activities to detect patterns associated with

While living in city centers is usually linked to higher accessibility levels, shorter travel times, and higher levels of public transit (PT) utilization, the opposite is true for residents of suburban areas. This assumption holds in metropolitan contexts, where central areas offer better accessibility and are associated with higher levels of PT use. In metropolitan peripheries, a large part of commuting

All over the world, cities are becoming “smarter.” The improved use of data generated by the transport system (e.g. smart cards data), combined with GPS trackers and citizens’ mobile data enabled the development of a new generation of smarter mobile apps (e.g., Waze) and several local real-time public transport services and trip planners. These technologies have the potential to reduce transport inequalities

This study aims to extend and investigate how external factors (socioeconomic and demographic characteristics, EV-related policy mechanisms, transportation, and climate conditions) influence the actual adoption of battery electric vehicles (BEVs). Using panel data from 49 U.S. states from 2011 to 2020, we estimate a dynamic spatial Durbin model under the space fixed effect to examine the effects of

This review explores the potential of digital twin systems to provide a more holistic representation of travel behavior and support transportation planning and policymaking. The paper introduces the concept of digital twins, their key characteristics, and their applications in various domains, including transportation. It discusses the traditional methods used in travel behavior analysis and their

Promoting the use of sustainable transport alternatives is critical for reducing carbon emissions. In this paper, we propose a cognitive mechanism that explains the extent to which individuals use different sustainable travel modes (e.g., the bus, train, bicycle, and car-sharing). Specifically, we hypothesise negative emotions related to cars as an antecedent of sustainable travel mode use where emotions

Concerned by the increasing environmental impact of urban areas and the mobility sector, the study examines mobility in Reykjavík, Iceland. Reykjavík residents have been found to have high emissions in both local and leisure travel. The study aims to explore the connections between urban mobility and leisure travel behaviour using a novel method – activity spaces. The relationship between activity

While a substantial body of literature exists on the factors associated with walking behavior, little is known about the long-term effects of childhood experiences. This study utilizes micro-longitudinal data from the Indonesian Family Life Survey (IFLS) to track the lives of 1,343 Indonesians from childhood to adulthood. Findings from a series of regression analyses provide suggestive evidence of

Travel preferences in public transport (PT) have been substantially affected by the COVID-19 crisis, with rising emphasis on on-board safety and comfort aspects. Hence, real-time crowding information (RTCI) might have become even more instrumental in supporting travel decisions in congested urban PT systems. This study investigates the willingness to wait (WTW) to reduce (or avoid) overcrowding with

Mixed-traffic crosswalks are a prevalent scene in urban traffic. Understanding the movement characteristics of bidirectional e-bike-pedestrian mixed flow is helpful to enhance traffic efficiency at an intersection. In this research, a controlled experiment on bidirectional e-bike-pedestrian mixed flow was conducted. There are three variables, namely the proportion of e-bike riders (i.e., 0.5 and 0

Wheelchair accessibility of transportation service hailed using Uber and Lyft is fraught with contention. In this research, I interview 12 drivers on the apps who work in Washington, DC to understand their experience and perception about issues surrounding service to wheelchair users. Some drivers experience transporting wheelchair users as markedly different from service to non-wheelchair users due

Hand foot mouth disease (HFMD) is one of the widespread transmissible diseases that target preschool children, especially in urban regions in East Asia. Based on the mobile app data, a GIS automated regionalization method is used to define regions of various urbanicity levels. The variability of HFMD patients’ travel behaviors across these regions are examined by the complementary cumulative distribution

In psychology, choices are influenced by either goal-directed or habitual systems, which are represented by model-based (MB) and model-free (MF) reinforcement learning algorithms. This paper introduces these concepts into the transportation literature and shows that individuals with habitual tendencies often fail to consider new, potentially superior, alternatives. Across two experiments, participants