Abstract Urban mobility disparities are shaped by the intersection of gender and age, yet their combined effects on the adoption of emerging mobility services remain insufficiently understood. This study applies an intersectional framework to examine how gender, age, and their interaction influence ride-hailing usage across different travel purposes, with a focus on the mediating role of socioeconomic and environmental factors. Using structural equation modelling and data from 1006 surveys conducted in Chengdu, China, this study suggests that neither gender nor age alone sufficiently explains mobility disparities in adopting ride-hailing. Age exerts a stronger and more consistent effect than gender on ride-hailing adoption. The negative impact of older age is evident for all trip purposes, while gender differences are primarily indirect and mediated through income, especially for commuting. When considering interaction terms, older women face compounded disadvantages: while income generally increases with age due to seniority, older women experience slower income growth compared to older men, leaving them at a relative economic disadvantage.

Abstract Cycling on rural highways presents comfort and safety concerns due to the large speed differentials between bicyclists and automobiles. A shortcoming of the current operational methods for rural highways is the limited consideration of quality of service for non-motorized users. This research aims to determine which variables are most relevant to bicyclists cycling (or not) on rural highways and their operational cycling preferences. An online survey collected 982 responses from individuals who cycle on rural highways in the United States. Eight choice tasks were presented with six factors: pavement quality, automobile traffic level, posted speed limit, roadside design, context class, and grade. These factors were obtained from a preliminary survey targeting highway analysis and design practitioners. The results of a mixed-logit model analysis suggest that the presence of a shoulder and its width are the most critical factors to a cyclist’s perceived quality of service on a rural highway. We found that the difference between rural-town and suburban contexts was minor compared to rural contexts. The results demonstrate how cyclist types influence their overall willingness to cycle and their preferences for scenario-specific attributes. This opens the discussion to include different sets of thresholds to assess service levels as a function of cyclist type, following the level of traffic stress approach, and separate perception models by cyclist type. These results should inform recommendations for future research on improving existing evaluations related to bicycling on rural highways.

This paper reports on a travel survey conducted in Austria in 2019/2020. The aim was to generate 1250 stated preference (SP) interviews using four types of SP experiments, which were based on revealed tours of respondents (tour-based SP-off-RP). The data were to be used as input for a new national tour-based transport model. The core element is a combined time period and mode choice experiment with several innovative new features, which aim to provide a smooth one-stop shop for both stages (RP and SP) and to depict scenarios that are as realistic as possible and achieve sufficient trade-off. The method defined and implemented for the survey is extensively documented, including all steps of survey preparation, the logic behind and development of the time period and mode choice experiment, adaptive measures in survey design and method, and survey conduct. In addition, the paper measures the response rate, describes the data by means of its key features, discusses its representativeness, draws some conclusions on the lessons learned and quality of the data obtained, and provides an outlook on the usage and availability of the data.

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 have the escalator/stair landings in different positions. A data cleaning process was proposed to overcome the drawbacks of Wi-Fi-based position data. A decomposition method was further developed to separate the walking and staying phases based on data processing. The boarding passengers’ on-platform behaviour was analysed from four aspects: the number of staying phases, the location distributions of different kinds of stays, the location distribution of in-between stays by hour and duration, and the distance and walking speed of the first walking phase. Our results suggested that many passengers (44% and 37% of passengers at the two case study stations) had multiple staying phases, meaning that they did not go directly to their final boarding points after coming to the platform but rather made stops or walkarounds before coming to boarding points. The distributions of locations of the last and in-between stays were significantly different and may influenced by the width, length and layout (such as landing locations) of stations. In addition, the walking speeds of passengers observed on the metro platform were slower than those observed on the streets. These findings indicated that some commonly used assumptions in most simulation models are not true according to the empirical observation. The obtained knowledge would deepen the understanding of the passengers’ on-platform behaviour and thus provide implications for designing railway stations and planning station operations.