Abstract
As mitigating car traffic in cities has become paramount to abate climate change effects, fostering public transport in cities appears ever-more appealing. A key ingredient in that purpose is easy access to mass rapid transit (MRT) systems. So far, we have however few empirical estimates of the coverage of MRT in urban areas, computed as the share of people living in MRT catchment areas, say for instance within walking distance. In this work, we clarify a universal definition of such a metrics - People Near Transit (PNT) - and present measures of this quantity for 85 urban areas in OECD countries – the largest dataset of such a quantity so far. By suggesting a standardized protocol, we make our dataset sound and expandable to other countries and cities in the world, which grounds our work into solid basis for multiple reuses in transport, environmental or economic studies.
Highlights
Background & SummaryMotorized transport currently accounts for more than 15% of world greenhouse gas emissions[1]
As most humans live in urban areas and two-thirds of world population will live in cities by 20502, mitigating car traffic in cities has become crucial for limiting climate change effects[3,4,5,6]
In contrast with[25], we do not exclude any form of commuting trains based on station spacing or schedule criteria. As we detail it in the Method section, we identify services and corre sponding stops with the General Transit Feed Specification (GTFS), a common format for public transportation schedules and associated geographic information (GTFS Static Overview. https://developers.google.com/transit/gtfs, 2020)
Summary
Background & SummaryMotorized transport currently accounts for more than 15% of world greenhouse gas emissions[1]. It produces a rigorous dataset of the share of population living close to transit (less than 1 km) for 25 cities in the world (12 in OECD countries).
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