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This paper uses Sydney rail data to examine the relationship between station level ridership and local and regional accessibility. We use net transit accessibility, which is the additional number of opportunities reachable by transit over walking to represent the regional connectivity value provided by transit. We map accessibility at transit stations, and use the number of opportunities within walking distance as an indicator of local access. We find elements of place (or local) access, including access to jobs and to residents within walking distance (local access), and nodal (or regional) access, including transit access to distant jobs and residential locations are both significant indicators of station level ridership. In particular, the number of jobs within walking distance of a transit station is the best single predictor of transit ridership. This paper highlights the importance of high density around station areas for transit ridership. [ABSTRACT FROM AUTHOR]

E -commerce's rapid expansion has transformed consumer shopping habits and business operations. While it offers the potential to reduce customer trips, it has also contributed to increased vehicle kilometres travelled (VKT) by delivery vehicles, resulting in elevated greenhouse gas (GHG) emissions, especially in last-mile deliveries. This paper proposes a spatial approach to address the uncapacitated single allocation hub covering problem (USAHCP) to reduce the VKT by optimising the number and location of logistics hub. In this approach, the spatial features and strategic legislation of metropolitan areas are analysed. Integrating existing models, this location-based approach aims to design a collaborative last mile distribution network by locating micro-consolidation centres (MCCs) in metropolitan areas to service parcel lockers where end customers pick up their parcels. The method is applied to Sydney, Australia, using data provided by the largest courier companies in Australia. The results show that incorporating MCCs in the network reduces VKT due to their proximity to final destinations. Sensitivity analyses are conducted by differentiating maximum driving time constraints and specific times of day reflecting traffic patterns. The results provide significant advantages for logistics stakeholders, notably Transport for NSW, by reducing VKT and GHG emissions. Moreover, the developed method can be utilised by carriers and shippers in their strategic and operational decisions to enhance overall delivery speed and reliability. [ABSTRACT FROM AUTHOR]

The majority of transport planning model systems used in forecasting travel demand as input into project evaluation treat the location of firms as a given, and hence the best these model systems can do in terms of assessing the response of firms to improvements in transport systems is to redistribute the number of existing workers (as a proxy for the number of jobs) between zonal locations, holding the total number of jobs and firms constant (with the exception of an overall growth in jobs). Some exceptions assume an inducement response based on simple rules of firm response as a way of approximating induced trip demand attributable to the change in the number of firms. What is typically missing is an endogenous treatment of firm location choice through a formal model that is integrated into a transport and land use model system in a way that allows for feedback between travel and firm location. This integration is critical to capture the change in the total amount of business activity in each location and overall, that is not simply based on an-across-the-board assumption on the annual growth in jobs. This paper presents a jointly estimated aggregate zonal model of the number of firms and jobs in which the number of jobs is influenced by the number of firms at a specific location, together with elasticity estimates of each influencing effect in each industry sector. The employment model predictions for each industry sector can be input into a workplace location choice model in any integrated transport and location model system to obtain predictions of the impact of transport policies on the location decisions of firms. The Sydney Greater Metropolitan Area (SGMA) is used as a case study to estimate the systems of firm and employment location models. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic and the subsequent rollout of public health lockdown orders, social distancing measures, and general avoidance of crowded and enclosed places, like mass public transport, have disrupted everyday transport mobilities worldwide. This paper offers insights on the transformative potential of pandemic disruption on transport behaviours through the experiences of commuter cycling reactivation which took place in Sydney, Australia since March 2020. We combine sensory ethnography with Deleuze and Guattari's concept of the refrain to interpret the pandemic as an experimental reference point in the reactivation of commuter cycling, specifically with regards to timing, flow, and spacings. Experiences of commuter cycling in Sydney reveal how fear is attached to cycling bodies. The sensations of self that arise through such conflict are differentiated within and between gendered bodies and urban topography, elements, and infrastructure. We find that for reactivated cyclists, the ability to fashion commuter cycling territories as safe and efficient is an ongoing experimental process of temporal and spatial segregation and separation. In this regard, the pandemic rendered concrete new possibilities of everyday commuting, but these remained constrained by popular discourses relating to cycling and cyclists. [ABSTRACT FROM AUTHOR]

We are told that electric vehicles, cars in particular, will be good for the environment. But what exactly might this mean? It is true that end use emissions will be significantly reduced when we move from fossil fuels to green energy sources? Assuming that the demand for such cars, including battery electric vehicles (BEVs) in particular will grow, we can expect a significant number of such vehicles manufactured in future years. Given the potentially relatively lower cost (fewer moving parts) compared to internal combustion engine vehicles as well as the significantly lower usage costs per kilometre, we would expect a level of uptake that could impact on the performance of the road network (perhaps increased congestion and crash risk) but also a concomitant reduced use of public transport and fuel excise loss. In this paper, we apply the MetroScan modelling system in the Greater Sydney Metropolitan Area (GSMA) over the period 2021–2056 to identify the likely impact that the growth in BEV ownership and use will have on vehicle kilometres, modal shares, government revenues, levels of CO 2 emissions and other impacts. Moreover, we investigate the introduction of a BEV usage charge proposed in Australia to see what it might do to these key performance indicators and whether it can offset the adverse effects during BEV uptake such as government fuel excise revenue loss and increased congestion. [ABSTRACT FROM AUTHOR]