This study examines the impact of vehicle automation and onboard activities on travel mode preferences based on a stated choice experiment conducted among 696 visitors to US national parks. Several multinomial and mixed logit models were estimated to analyze preferences for human-driven vehicles (HV), autonomous vehicles (AV), and AVs with work and leisure interiors (AV-WL), and to calculate the associated

Shared micromobility has established its role as a viable solution for sustainable transportation worldwide. Despite the widespread discourse on bike-sharing, there remains a paucity of research addressing its utilization among older adults (aged 65 and over). To this end, this research delves into the analysis of docked bike-sharing trip records in Chicago, aiming to understand the impact of land

Accurately quantifying urban human mobility is crucial for tackling challenges in traffic engineering, urban planning and public health. Traditional static gravity models (GModel) often fail to address spatial heterogeneity and non-linear relationships in mobility flows, particularly in complex urban regions with new towns and metropolitan areas. This study investigates mobility flows in the Wuhan

Older adults’ living environments are instrumental in making walking part of their daily lives, as we strive to promote healthy aging. Objective measures, such as WalkScore®, and subjective measures of walkability provide means to grasp the factors that enable or hinder frequent and enjoyable walking. However, there is limited consensus on what factors contribute to mismatch between perceptions of

Shared e-scooters are increasingly recognised as a sustainable travel mode for tackling urban transportation challenges, including congestion and air pollution. Their early adoption in U.S. cities, followed by expansion across Europe and ongoing trials in the UK, underscores the need to understand key factors for the scheme’s success and development, particularly regarding the acceptance and retention

Previous studies on measuring transit accessibility under travel time uncertainty often introduced complex measures based on non-standard data formats, hindering reproducibility and replicability in research and planning. To address this, we present a practical framework that leverages a standardized format for real-time transit data: Realtime General Transit Feed Specification (GTFS), to generate

Ride-hailing has become an important part of the urban mobility landscape. The main contribution of this study is to estimate how travellers perceive time when using ride-hailing compared to using conventional public transport, to better understand ride-hailing mode choice. We combine two unique datasets containing actual, individual passenger behaviour for the Washington DC area from October 2018:

Urban landscape plays a crucial role in reshaping the activity and mobility pattern of citizens. Studies have explored the relationships between the built environment, socio-economic, transport infrastructure, travel behaviour, and quality of life at different spatial scales. However, associations between the built environment, driver distraction, and driving performance at the micro-level are less

Indian civil aviation being a service-oriented industry demands prioritizing consumer interests. To accurately gauge consumer interests, it is crucial to consider the behavioural characteristics of passengers. This study provides a comprehensive overview of the passenger characteristics and itinerary attributes in the selection of itinerary among various itinerary types available in the Indian domestic

Persuasive scholarship presents how individual daily travel habits implicate congestion, environmental pollution, and the travel experience. However, the empirical characteristics and dynamics of travel habits remain poorly understood. Quantifying both our individual travel habits and how these habits aggregate to form system-wide dynamics are of critical importance to enable smart design of public

This paper investigates the idea of hiring parcel receivers for more effective e-commerce Last Mile Delivery (LMD), specifically within Crowd-Shipping (CS) initiatives that utilise alternative delivery points such as parcel lockers. The potential of such a concept is operationally important, particularly when receivers are increasingly interested in receiving parcels (either at their doorstep or at

Roadway departure crashes account for many annual crashes on rural roadways. Understanding the effects of various contributing factors is essential for developing cost-effective safety countermeasures. This study focuses on rural two-lane segments, introducing a data collection method that includes operating speed, road geometry, precipitation, and land use characteristics. Addressing the gap in understanding

As global urbanization accelerates, traffic congestion and environmental pollution have become critical issues. Cycling, as a green transportation mode, is essential for promoting sustainable urban development. However, the impact of environmental factors on cycling behavior varies among cities, and systematic comparative studies are lacking. This study focuses on five Nordic cities—Reykjavik, Oslo

Microtransit, a form of demand-responsive transit (DRT), has garnered interest for its potential to complement traditional public transit and address first- and last-mile challenges. However, limited research has explored its impact on travel behavior, particularly its role in inducing new trips that might not otherwise occur. This study addresses this gap with two main contributions: (i) the introduction

Cities are increasingly designing streets with green stormwater infrastructure (GSI) to improve urban drainage systems, while providing secondary socio-environmental benefits. Yet, the relationship between GSI and active mobility remains underexplored. This study addresses this gap by conducting a case study analyzing the impact of GSI implementation on individuals’ perceptions of walking and cycling

A growing body of research highlights the importance of understanding built environment factors influencing metro ridership to shape future transit strategies. However, previous traditional approaches relying on total or average ridership across distinct periods (peak hours and off-peak hours, weekdays and weekends) fail to capture the dynamic temporal variations of metro stations. This study addresses

A tenet of transportation planning is that most consumers choose the closest destination when they can. However, when it comes to food shopping, the choice of store is determined by a broad set of characteristics and most shoppers are willing to make long trips to stores beyond their local neighborhoods, making travel an especially important determinant in accessing healthy and affordable food. Since

Dockless bike-sharing is an effective strategy for addressing the first- and last-mile travel problem in connecting with metro systems. Most existing studies simplified the estimation of transfer behaviors and considered integrated trips as a single category when analyzing the impact of the built environment. This increases the possibility of misestimating integrated trips and instability of built

Advanced Traveller Information Systems (ATIS) have been shown to improve travel satisfaction and to make public transport more attractive, but their effect on traffic, travel behaviour, and environmental externalities remains an open question. Addressing these questions is key to determining the impact of policies supporting ATIS in sustainability outputs. In this paper, we study the case of Red, a

This study examines multimodal transportation choices along the high-demand Ankara–Istanbul corridor using Multiscale Geographically Weighted Regression (MGWR) to capture spatial heterogeneity in travel behavior. Focusing on total travel time as the dependent variable, the analysis incorporates access and trip durations for buses, high-speed rail, and air travel, excluding private vehicle use. The

The primary goal of this study was to explore the factors that influence customers’ intentions to adopt autonomous vehicles (AVs). This research aimed to conceptualize behaviors related to AV adoption by utilizing the media-based perceptions and adoption model (MPAM) as a theoretical framework. 307 Malaysians with driver’s licenses and at least eighteen years old were the respondents of this study

The driving force behind individuals’ travel behavior is closely linked to the need to engage in various activities, such as working, shopping, and entertainment. While the importance of shopping and entertainment activities is well-documented in activity-based modeling research, there is no existing literature specifically addressing different shopping activities and entertainment trips over long

Active school travel, as well as its independence, is crucial for children’s physiological and psychological development. Despite the well-documented benefits, children’s independent and active school travel is declining in many countries, largely due to parental safety concerns. While previous studies often explore the dimensions of activeness and independence in school travel separately, this research

The demand for public transportation is influenced by various factors daily, creating significant challenges for managing the fleet. This study aims to examine the demand for bus fleets in Mashhad, Iran, under different weather conditions and special events. Big data from 13 municipal districts collected via smart cards during the one-year period spanning from November 1, 2021, to December 1, 2022

Large Language Models have attracted global attention due to their capabilities in understanding, knowledge synthesis, and generating contextually relevant responses, mimicking certain aspects of human reasoning. Although LLMs have demonstrated feasibility in performing autonomous driving tasks in simulated and real-world environments, little is known about their safety and ethical decision-making

Work-related transportation incidents significantly impact urban mobility and productivity. These incidents include traffic crashes, collisions between vehicles, and falls that occurred during commuting or work-related transportation (e.g., falling while getting off a bus during the morning commute or while riding a bicycle for work). This study analyzes a decade of work-related transportation incident

Cultural economy includes the exploitation of cultural venues and facilities, as well as aspects related to human capital and education. Given the increasing centrality of the cultural sector, accessibility to its opportunities is considered crucial for the success of any European city. According to the Trans-European Transport Network policy, High-Speed Rail (HSR) will be the backbone of several multimodal

Electric scooter (e-scooter) sharing services are being increasingly looked at as an eco-friendly and efficient micromobility option within cities, which aid in traveling short distances. However, research in this area is scant, especially in terms of its usage in large urban cities. This study explores the practical applications including usage of shared e-scooters in Seoul, the largest city in South

Place-level human mobility reflects the collective movement patterns of individuals and groups within defined geographic areas for specific mobility patterns. The COVID-19 pandemic has underscored the pressing concerns on mobility vulnerability during urban crisis. While socioeconomic disparities in mobility disruptions have been thoroughly documented, the impact of the built environment during the

Night and evening shift workers play critical roles in the modern economy, yet the mobility implications of working at these times is understudied. Shift workers’ schedules are mis-aligned with the schedules of their families and most of society, complicating their contribution to household-serving travel and their participation in social activities. This study models the effects of working nights

Commuting satisfaction is a crucial factor influencing individuals’ well-being and travel behaviour, with important implications for policy making and traffic planning. However, validated scales for measuring individuals’ satisfaction with their daily commute to work are scarce in the literature. This paper presents and validates the Commuting Satisfaction Scale (CSS), which was developed using data

This study responds to how people with disability and older adults are jointly figured as warrants for autonomous public transport development in Singapore. As the state seeks to incorporate autonomous technology into its public transport system, the associated discourse has uncritically paired disability and ageing identities as potential beneficiaries. Drawing upon focus group data with 20 people

As urban landscapes evolve and tourism rises, understanding urban human mobility has become increasingly critical for sustainable development and urban resilience. While both locals and tourists contribute to urban dynamics, their mobility patterns frequently diverge. Current research falls short in differentiating these groups’ mobility patterns and often overlooks the influence of weather conditions

In densely populated urban areas, the spatiotemporal dynamics of public and private transportation lead to intensified competition for limited road space, especially during mass gathering events. To address this issue, we propose an optimal design for a bi-modal transport system that integrates e-hailing and bus services, balancing efficiency, economy, and safety. By incorporating traffic dynamics

As a consequence of the several negative externalities associated with car usage, there is a growing pressure to promote more sustainable mobility habits through supporting transport alternatives. An increasingly attractive solution is the concept of intermodal mobility, i.e., the combination of different modes of transport in a single trip, leveraging the strengths of each mode to provide a more sustainable

Digital navigation services are extensively employed to provide travelers with recommendations for reaching their destinations. However, most current navigation services primarily focus on time and distance when suggesting routes, neglecting the consideration of the value of travel time (VTT). VTT represents a mobility paradigm that recognizes travel time as an opportunity for various activities, such

In spite of many countries pushing for electrification of their mobilities by incentivising buyers and manufacturers, penetration rates of electric vehicles are still very less and hence, the electric vehicles represent only a minor proportion of aggregate motorised vehicles. Thus, for fruitful penetration of electric vehicles in developing economies such as India, this study analyses the factors affecting

The Driverless Car (DC) has the potential to revolutionize the mode choice behaviour of downtown or CBD (Central Business District) commuters. This group generally experience high parking costs, which can potentially be eliminated due to the self-parking capabilities of DCs to access free-parking zones. However, it is unclear how this will impact mode switch behaviour in the DC era, and particularly

As restrictions eased coming out of the COVID-19 pandemic, travel behavior began settling into a “new normal”, due in large measure to trends in internet-based activities. Growth in teleworking, grocery delivery, and online retail during the pandemic has changed how people travel. The relationships between teleworking, activity engagement, household characteristics, personal attitudes, and expectations

Compared to hurricane evacuation travel, considerably less is known about travel by those who remain in the at-risk area and experience utility/infrastructure disruptions. How do people adapt their activities/travels in the aftermath especially with the impact of a power outage at home? With data collected after Hurricane Irma (2017), this study focuses on understanding commuters’ and non-workers’

The increasing use of private automobiles in cities has been linked with negative environmental effects, accidents and public space misuse. Several mitigation measures have been proposed, and fewer have been implemented, aiming to push drivers from using cars or to attract them to alternative modes of transport. This study overcomes literature gaps by developing a mode choice model that incorporates

Public transit crowding has a significant influence on riders’ satisfaction and needs to be tackled using both demand and supply management approaches. In this study, we focus on the policy response to public transit crowding using various customer incentive schemes. By analyzing data from a stated preference survey collected in Metro Vancouver, Canada, during the COVID-19 pandemic, we identified the

During the COVID-19 pandemic, the measures taken by authorities to contain the virus and the fear of being infected resulted in reduced human mobility. Even though studies have made an effort to understand the changes in human mobility patterns resulted due to the pandemic, their findings are inconclusive for totally relying on aggregated data collected at ridership level rather than information at

Attachments to private cars are as complex as they are problematic. They reflect legacies of urban form, and culturally inculcated appreciations of autonomous mobility. To challenge the car system, deeper understandings of the complexity of private car ownership and use are required.

This study investigates changes in transit ridership predictors pre- and post-pandemic across 35 United States metropolitan areas. Using extreme gradient boosting and data spanning January 2019 to June 2023, we identify a shift in the key predictors of transit ridership from internal factors in the pre-pandemic era to external factors in the post-pandemic era. Socioeconomic factors, gasoline prices

The rise of on-demand food delivery services, operating on gig economy models, has gained popularity worldwide. However, this surge has led to a concerning increase in road traffic crashes involving delivery riders. From this, an urgent need has emerged for a comprehensive study to explore the complex traffic safety issues that this vulnerable group faces daily. Therefore, this study aims to provide

In this paper, we study the pedestrian route choice behaviors through a controlled experiment. Two routes with different lengths and waiting times are considered. Sometimes, extra rewards are given to test the different responses in diverse situations. The surveys before and after the experiments (S1 and S2) can aid in collecting data on pedestrians’ individual traits. In the binary logit model, the

Mobility as a Service (MaaS) has the potential to contribute to greater equity in transport, but it also holds the potential to contribute to greater inequity. The outcome depends on how MaaS is designed, implemented, and marketed. Evaluations of existing systems have yielded mixed results in this regard. Therefore, input from prospective end-users remains crucial for designing systems that cater to

This study develops a two-stage modeling framework for parcel-level shopping destination choice, accounting for multi-dimensional factors and the heterogeneity in shopping location choice behavior. The study follows two steps: (i) developing a shopping location choice set generation process comprising feature selection and encompassing business types and locations, and (ii) developing an econometric

The current study aims to detect walking trips to/from school with different methodologies (GPS, self-reported, fixed windows [w30 and w60], and distance-based time), and to compare the start/end times for the trips, and the time accumulated in sedentary time, light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). A total of 93 Spanish adolescents wore an accelerometer and

Although several countries are considering Hyperloop transit systems, there has been little research into how urban residents view the risk of Hyperloop development. This study therefore applied perceived risk theory to understand public perceptions of Hyperloop technologies and how perceived risk affects public support for Hyperloop development. The effect of age, gender, and knowledge of Hyperloop

This study investigates the differences in the importance of various factors influencing vehicle preferences by fuel type. We analyzed four major fuel types: gasoline, diesel, electric, and hydrogen, aiming to enhance the effectiveness of zero-emission vehicle policies. Using Shapley additive explanations with an XGBoost classifier, we evaluated feature importance using conjoint survey data, considering

In emergency situations, factors such as smoke and dimly-lit conditions that lead to limited visibility for pedestrians often become an important reason for preventing more efficient evacuation. Considering factors such as cost, preparation time, and especially the safety and ethical issues of the participants, it is difficult to organize evacuation experiments with limited vision in reality. Therefore

To promote the uptake of Electric vehicles (EVs), public charge points (or infrastructures) are crucial. A critical question for the planning and operational management of EV infrastructures is understanding different dimensions of temporal utilisation, which assists in improving the existing infrastructure and demonstrating the need for new infrastructures. Therefore, this paper analyses charge event

Wi-Fi log data, including communication actions between clients and Access Points (APs), can be used to infer human movement and travel activity and thus would serve as a reliable data source for human mobility analysis. As more and more modern cities or communities provide public free Wi-Fi services, a vast amount of public Wi-Fi log data will be collected and have the potential to be used to characterize

It is increasingly recognized that access to transportation options and relevant destinations is not equally distributed across the population, calling for quantitative indicators to identify groups at risk of transport poverty and exclusion. While this has most commonly been done using accessibility measures based on objective land use and transportation data, we argue that subjective self-reported

As Thailand’s population ages and high-speed rail (HSR) infrastructure develops, understanding elderly travelers’ expectations becomes crucial. This study investigates the determinants of elderly travelers’ expectations and behaviors regarding HSR services in Thailand, comparing leisure and other-purpose travelers. Data was collected from 3,201 elderly respondents (1,101 leisure, 2,100 other-purpose)

Urban planning and public health are increasingly interlinked in efforts to shape healthier communities. To build a healthier community, walkability has shown positive outcomes for population health. This study employs machine learning to analyze the impact of walkability indicators such as intersection density, proximity to transit stops, employment mix, and employment and household mix and social

This paper explores using a decision support tool, an already developed and preliminary tested system with highly parameterised Simulation and Optimisation engines. This tool manages the assignment of user requests to an intermodal transport system in which conventional transit transportation modes, buses, subways, railways, and trams, are complemented and coordinated with a ride-pooling service. The