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Addressing the “Minimum Parking” Problem for On-demand Mobility by Kondor, Dániel; Santi, Paolo; Le, Diem-Trinh; Zhang, Xiaohu; Millard-Ball, Adam; Ratti, Carlo is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Addressing the “Minimum Parking” Problem for On-demand Mobility about?

## Abstract Parking infrastructure is pervasive and occupies large swaths of land in cities. However, on-demand (OD) mobility has started reducing parking needs in urban areas around the world. This trend is expected to grow significantly with the advent of autonomous driving, which might render on-demand mobility predominant. Recent studies have started looking at expected parking reductions with on-demand mobility, but a systematic framework is still lacking. In this paper, we apply a data-driven methodology based on shareability networks to address what we call the “minimum parking” problem: what is the minimum parking infrastructure needed in a city for given on-demand mobility needs? While solving the problem, we also identify a critical tradeoff between two public policy goals: less parking means increased vehicle travel from deadheading between trips. By applying our methodology to the city of Singapore we discover that parking infrastructure reduction of up to 86% is possible, but at the expense of a 24% increase in traffic measured as vehicle kilometers travelled (VKT). However, a more modest 57% reduction in parking is achievable with only a 1.3% increase in VKT. We find

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Author

Kondor, Dániel; Santi, Paolo; Le, Diem-Trinh; Zhang, Xiaohu; Millard-Ball, Adam; Ratti, Carlo

Publisher

Springer Science and Business Media LLC; London: Nature Publishing Group; [London]: Springer Nature; Nature Publishing Group; Society for Mining, Metallurgy and Exploration Inc.; Research Square; Springer Nature; Island Press (ISSN 2045-2322)

Published

2020

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)