Women do a majority of mobility of care; in Canada they also tend to cycle less. We look at mobility of care by bike, specifically the gendered dimensions of child transportation and the equipment used to facilitate it. We observed 4026 people cycling in Victoria, Canada, 6.1% of whom were carrying children. The gender split was ~40:60 women: men, nearly identical for those with and without children. Electric cycle use was 2.5 times higher for those carrying children, and two-thirds were using cargo bikes. Findings show that mobility of care by bike is similar to overall bike use across genders and that cycling technologies appear important in uptake.

Demand-responsive transport (DRT) systems struggle to strike a balance between universal accessibility and efficient, equitable service delivery. This study utilises MATSim to evaluate two distinct DRT policies in Greater Melbourne: a serve-all policy and a selective-acceptance policy. Results show that serving all requests improves accessibility but leads to longer waiting times, and improves equity when demand is high. Selective acceptance maintains better service quality, but at the cost of coverage and equity. The findings reveal clear trade-offs between efficiency, equity, and inclusivity in DRT operations.

This study investigates the injury severity and public healthcare burden associated with unhoused pedestrians struck by motor vehicles in Illinois during 2023. By linking crash and hospital discharge records, this analysis reveals significantly elevated injury severity and medical charges among unhoused individuals compared to the general population. The typical charge per unhoused patient was $133,000, with 84% billed to public insurance. Contributing factors include advanced age, nighttime crashes, poor infrastructure, and substance use. Findings highlight critical gaps in demographic and non-fatal outcome data, underscoring the need for targeted interventions to improve pedestrian safety for vulnerable populations.

In the postwar United States, cities used downzoning policies to limit construction, often for the sake of preserving neighborhood aesthetics and protecting property values. We show that downzonings in Chicago between 1970 and 2016 were more frequently implemented in high home value areas. We evaluate downzoning’s consequences by comparing outcomes between Chicago tracts that were subjected to this regulatory change and those that were not, using fixed-effects regressions. In downzoned areas, housing supply declined, but housing values and white population shares increased. Overall, downzoning has contributed to reduced housing availability in high-demand neighborhoods, while reinforcing class and racial segregation.

The area of an individual’s daily activity space may be constrained by difficulties traveling long distances or by proximity advantages in dense areas that reduce the need to travel far from home. Using travel diary data from 327 individuals in Granada, Spain for both a weekday and a weekend, this study examine the relationship between activity space areas and destination accessibility by car and non-car modes. We find that lower accessibility is associated with smaller activity spaces on weekdays, while weekend activity space areas are better explained by household resources. We interpret these patterns using a constraints-versus-freedom lens.

This study examines whether adolescents are more likely to cycle to school when their parents do, and whether this influence differs between female and male adolescents. Using 3,017 school trips from the Victorian Integrated Survey for Travel and Activity (VISTA), separate multinomial logit models were estimated for each group. Findings show that parental cycling significantly increases adolescents’ likelihood of cycling, with a stronger effect for females. These findings demonstrate that parental behaviour plays a crucial role in shaping active school travel.

Perceptions are often measured on unanchored scales, making it difficult to compare across individuals. I address this challenge by comparing how respondents rate speeding versus behaviors near universally regarded as dangerous. Results show that most respondents see speeding—especially on arterials—as much less dangerous than drunk or distracted driving. Correcting this misconception offers an opportunity to shift opinions on traffic cameras, which are effective but underutilized. A survey experiment reveals that a brief safety message increases support among those who initially underestimated the dangers of speed. Scholars should employ relative scales and practitioners should emphasize the risks of speed.

Big data from mobile phones are increasingly used in transport research and planning, offering unprecedented spatial and temporal detail. However, data accuracy remains unclear. This study evaluates Replica, a dataset modelled from mobile phone GPS data, by comparing modeled volumes for motor vehicles, bicycles, and pedestrians against field counts in Santa Barbara, California. Car volumes were modeled with high accuracy (R² = 0.92), while bicycle (R² = 0.23) and pedestrian (R² = 0.05) estimates showed substantial uncertainty. When using transport data generated from mobile phone GPS, additional caution is needed for non-motorized modes.

We introduce Access Surplus as a welfare measure that frames accessibility in a market-like form: the inverse cumulative cost to reach the next opportunity is the ‘supply,’ and the willingness to pay for one more choice is the ‘demand.’ The area where demand exceeds supply, up to a natural stop point, is Access Surplus . The metric avoids arbitrary cut-offs, is additive over residents, links clearly to project effects, and stays transparent when only origin–destination times and counts are available.

Construction of public transport infrastructure often disrupts daily life, but the extent of its perceived impact depends on residents’ subjective proximity to it. In 2018, Montreal began building the Réseau Express Métropolitain (REM), a 67-km grade separated light rail network. Using 2022 survey data (N = 4,065), we model how residents define being “near” to the project’s construction from their home, work, and school locations. Results show that perceived closeness to construction varies by context, sociodemographic characteristics, and mode-use patterns. Our findings can help better understand people’s perceptions of proximity to construction sites, which can spatially direct mitigation measures.