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Understanding the psychological factors that influence people's behavior in using sustainable modes of transportation, e.g., public transport, is crucial for promoting environmentally friendly behavior and mitigating climate change. This study examines the impact of the big-two personality traits (stability and plasticity) on households' auto transport consumption (ATC) and public transport consumption (PTC), and their mediating role in the relationship between socioeconomic factors (e.g., age, income, education, marital status) and transport consumptions (i.e., ATC and PTC). A triple-hurdle model, including two binary logit models and one structural equation model, is developed using a comprehensive national household survey in Australia. Findings reveal that the stability trait is positively related to ATC (b = 0.253, p < 0.10) and negatively to PTC (b = −0.372, p < 0.001), while the plasticity trait shows a positive association with PTC (b = 0.351, p < 0.001) and is negatively related to ATC (b = −0.296, p < 0.001). The developed analytical framework supports policymakers to identify individuals with stability and plasticity traits, using socioeconomic factors, and to design more-targeted interventions to incentivize specific individuals to use public transport, thus contributing to global efforts toward a sustainable future. [ABSTRACT FROM AUTHOR]

In recent years, there has been a noticeable increase in the number of parents accompanying their children to school. Existing literature has primarily focused on the motivations behind this decision and its impact on children's wellbeing, while the effect of children's school trips on parents' wellbeing is not sufficiently studied. To address this gap, this study employs "value of children" and "demand and reward" theories to provide a conceptual framework that demonstrates how taking children to school can influence parents' wellbeing through different channels. Using the Longitudinal Study of Australian Children (LSAC), which contains data from 10,000 Australian children and their parents, we develop a structural equation model (SEM) to examine the connections within the proposed conceptual framework. Our findings reveal that when parents accompany their children to school, it improves the quality of their parent–child relationship, leading to an increase in overall wellbeing. Furthermore, when parents and children walk to school together, it enhances parents' physical health and wellbeing. However, using public transport to take children to school increases parents' time pressure and undermines their wellbeing. [ABSTRACT FROM AUTHOR]

Shared Micromobility systems in urban regions hold the potential to reduce private vehicle usage and boost public transport patronage. To effectively achieve these goals, a comprehensive approach to integrating micromobility and public transport is essential. This study introduces a novel modelling framework to elicit travellers' preferences towards the features of integrated shared micromoiblity and public transport systems. The data is obtained from a stated preference survey involving 250 residents in Canberra, Australia. Respondents' mode choice behaviour and their propensity to switch from their current mode of transport to an integrated system are collected and modelled using a hierarchical latent class approach to account for taste heterogeneity and attribute non-attendance. The results show higher propensity of mode shift is associated with young age, high educational attainment, high scooter ownership and low car ownership. On average, respondents in this study express a willingness to pay of $0.55 for an integrated payment option. These results provide valuable insight into the integrated urban transport systems. [ABSTRACT FROM AUTHOR]

This paper evaluates Integrated-Demand Responsive Transport (I-DRT) as a solution to the challenges faced by traditional public transport (PT) systems in low-demand urban areas. The study investigates the implications of replacing local PT with I-DRT in low-demand urban areas. A multi-objective model, incorporating operational cost, environmental impact, passengers' travel time, and inequity is used to simulate the I-DRT performance. The analysis compares the performance of I-DRT and existing local bus lines in Belconnen, Canberra, Australia, based on number of utilised vehicles, operational cost, fuel consumption, average travel time, individual passenger travel time, delay, and inequity in delay distribution. [ABSTRACT FROM AUTHOR]