The impact of the built environment on car parking duration

Abstract

Parking regulation is a tool of choice in urban access regulation policies. However, this policy has many ripple effects and challenging to design and implement. This paper seeks to improve the understanding of parking demand by focusing on the link between the built environment and parking durations. The research leverages a unique dataset of parking payment transactions in Lyon, France. Using both unsupervised and supervised machine learning algorithms, the analysis quantifies the influence of spatio-temporal patterns and built environment characteristics. The findings highlight that parking durations are predominantly driven by parking design variables and that the other built environment dimensions are of least importance.