This study uses the Dynamic Spatial Difference-in-Differences model (Dynamic SDID) to analyze the impact of the Taiwan High-Speed Rail (THSR) on Taiwan’s tourism demand. To control for spillover effects, the model incorporates the Taiwan Tourist Shuttle service (TSHU) as an alternative transportation option, the interactive effects between TSHU and THSR, and the spatial autocorrelation between TSHU

This paper investigates the impact of conformity on traveler’s route choice and evaluates the value of conformity in this context. Drawing from classic theoretical model of conformity, we analyze the factors influencing conformity in route choice. Based on this analysis, we develop an integrated choice and latent variable (ICLV) model, incorporating latent variables related to conformity, individual

Utilising the existing infrastructure in railway transit to tackle overcrowding requires more understanding of how people use spaces at stations. This study investigated passenger behaviour while waiting for a train on the platform using the data of the Wi-Fi location tracking systems. The trajectories of 129,354 devices were observed in two weeks at two MRT Circle Line stations in Singapore, which

This paper presents a novel adaptive stated choice experiment to capture range anxiety during long-distance travel. It is assumed that respondents have forward-looking properties allowing them to select from a set of charging alternatives along the route or postpone charging for a later (choice) stage. Data was collected among members of the Danish electric car association. Based on this data, we develop

While previous studies have provided insights into the relationship between weather and ridership, how historical and future weather conditions affect bus travel behavior remains to be addressed. And the differences among advancing, current, and lagging effects, between different traveler profiles are not clear. This research aims to fill the gaps by exploring the effects of historical, current, and

This study delves into the potential of dynamic ride-sharing (DRS) systems utilizing the agent-based simulation framework MATSim. Through a comprehensive sensitivity analysis across various scenarios, we investigate the efficacy of a newly developed dynamic ride-sharing extension and unveil key insights. Our findings underscore the pivotal role of user willingness in driving DRS utilization, emphasizing

Our research challenges the prevailing notion that immobility only occurs in exceptional circumstances. Our work shows instead a close link with individuals’ activity levels and constraints on their schedules. We find that retirees exhibit higher immobility levels than workers, influenced by factors such as poor health, old age, low income, lack of access to a car, or rural residency. Analyzing data

The role of attitudes in location decisions has garnered increased attention in land use-transportation interaction research. However, most research concentrates on one-location decisions at the individual level, leaving the situation regarding multiple-location decisions at the household level largely unexplored. Using household-level survey data gathered in Ganyu, China, this research examines the

Transport demand represents the essential basis in the design of public transport services. Information on this is accordingly a necessary prerequisite for the preparation of supply. In the following, a general approach is presented using the example of the European night train market, with which potentials can be derived despite little knowledge of the mobility needs of the market and demand matrices

This article presents the EBIS (e-Biking in Switzerland) study, including its methodology, the resulting dataset, and an initial descriptive analysis of the population surveyed. The EBIS study is a Switzerland-wide GPS-tracking study with the aim of investigating the scope of carbon savings in the transport sector due to e-biking. Participants consisted of cyclists and e-bikers across the French- and

The study investigates the latent heterogeneity in travel behaviour among urban travellers, including ride-hailing service (RHS) users and non-users, by incorporating attitudes so as to reinforce conventional user-segmentation approaches. Simultaneously, prioritisation of ride-hailing specific attributes was carried out to assess how RHS will operate in a sustainable way. The study initially examines

Emerging modes (e.g., cargo bikes), mobility solutions (e.g., shared mobility services) and policy measures (e.g., the reduction of public parking spaces) are envisioned to reduce private car-ownership. However, the development of disaggregate car-ownership models dealing with them, which can be integrated with transport simulation systems, is still missing. Therefore, this study aims to fill this

In the context of a modal shift towards alternative transport modes such as cycling, walking and public transport, cargo bikes for personal transport could fill a void in the transport market by providing an alternative to car trips, especially among families. Yet, few studies have considered their modal shift effects on the use of other transport modes. We conduct a nationwide survey of 696 cargo

This paper examines factors influencing the adoption of parking apps and explores various app configurations to reduce reliance on traditional parking meters. The study surveyed 304 respondents in Brisbane, Australia. A mixed logit model was estimated to analyze preferences regarding various app characteristics. Results revealed that the introduction of new contactless payment options, real-time parking

Trip-level household travel surveys (HTS) are an efficient and widely used instrument in transport planning and research and are expected to remain in this role for at least the near future. Mode information is typically assigned to trips in these surveys based on a hierarchy of transport modes that hides important information on the individual stages which is particularly relevant for walking. This

This research investigates the interactions among transit (public transport) modes by inferring complementarity from a comparison of access provided by various transit modal combinations over a period of 160 years. A unique historical dataset of transit networks and services including buses, trains, and trams, generated for the Greater Sydney region for a period spanning from 1855 to 2015 was used

In mobility-on-demand services, the number of vehicles needed is often determined by peak demand during rush hours, leading to prolonged vehicle idle times during off-peak periods. This surplus capacity presents an opportunity for vehicles to perform additional tasks, potentially enhancing system efficiency and reducing the overall number of vehicles needed in cities. Leveraging agent-based modeling

Many references to policy paradigms and paradigm shifts can be found in the transport studies literature. Within this literature, diverse ways of interpreting and measuring paradigms and paradigm shifts are evident. This article critically reviews how paradigms are conceived in the transport studies literature and compares these interpretations with the policy science literature where the term has

This study employed Structural Equation Modeling to examine how different aspects of quality in metro rail transport impact user satisfaction. Additionally, it investigated whether satisfaction patterns remain consistent over the years and between different genders, using the Multiple-Group Analysis (MGA) methodology. Data were collected through a survey of metro rail transport satisfaction in Porto

Commuting research often assumes that commuting is a daily grind that elicits stress and strain for travelers. Some scholars have identified evidence that supports the benefits of commuting, but research into this aspect is still relatively limited and does not make a strong connection with the body of works that view commuting as a stressor. This paper offers a more nuanced understanding of commuting

Investment in urban public transportation involves strategic decisions regarding the organization of transit lines in the urban space and the choice of their technology in addition to the size of both fleet and vehicles of each line, and their spacing (lines density). The parametric city model (PCM) of Fielbaum et al. (Transp Res Part B Methodol 94:298–338; Netw Spat Econ 17:343–365) was created to

In many cities, shared micromobility services (SMMS) have become popular. These services contribute to the popularity of car-alternative mobility by promoting the use of micro-vehicles. Bike-sharing and e-scooter-sharing systems are examples of these services. Despite their potential, the share of SMMS is still marginal. To unlock their full potential, policymakers and service providers need to comprehend

Micro-mobility is an emerging mode of urban transportation, particularly for its potential to reduce private car use and build sustainable cities. Bikes and electric bikes (e-bikes) are two common types of micro-mobility. Previous studies mainly analyzed the two types separately, failing to provide a comparative and systematic investigation of shared dockless bike/e-bike systems in different cities

While the impacts of shared micromobility (SMM) on the environment and transport systems are being extensively researched, its societal implications and the influence of the social environment on the use of SMM remain largely unexplored. In this research, we investigate the interrelationships between the use of SMM, perceived overall accessibility, and social capital. We focus on two types of SMM –