Published March 28, 2022 | Version v1

Upscaling a Spatial Survey with Propensity Score Matching: Implications of a Motorbike Ban in Ha Noi

Description

The city of Hanoi, Vietnam, suffers high levels of congestion and air pollution as transport infrastructure has failed to keep pace with a rapidly growing population. This paper presents the use of propensity score matching as a means of up-sampling a bespoke travel survey through linkage to census microdata. Among other uses, it is hoped that these new data will begin to shed light on peoples’ perceptions of potential transport-related policies, such as a ban on motorbikes from parts of the city centre.

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GISRUK_2022_paper_83.pdf

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