Related papers: Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services

Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services

URL: http://arxiv.org/abs/2304.08721v1
Date: Tue, 18 Apr 2023 04:27:56 GMT
Title: Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services
Authors: Hiruni Kegalle, Danula Hettiachchi, Jeffrey Chan, Flora Salim and Mark Sanderson
Abstract summary: We employ a combination of methods that analyse both spatial and temporal characteristics related to e-scooter trips. Population density is the topmost important feature, and it associates with e-scooter usage positively. We found that the effect of humidity is more important than precipitation in predicting hourly e-scooter trip count.
Score: 19.15684785810306
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Micro-mobility services (e.g., e-bikes, e-scooters) are increasingly popular among urban communities, being a flexible transport option that brings both opportunities and challenges. As a growing mode of transportation, insights gained from micro-mobility usage data are valuable in policy formulation and improving the quality of services. Existing research analyses patterns and features associated with usage distributions in different localities, and focuses on either temporal or spatial aspects. In this paper, we employ a combination of methods that analyse both spatial and temporal characteristics related to e-scooter trips in a more granular level, enabling observations at different time frames and local geographical zones that prior analysis wasn't able to do. The insights obtained from anonymised, restricted data on shared e-scooter rides show the applicability of the employed method on regulated, privacy preserving micro-mobility trip data. Our results showed population density is the topmost important feature, and it associates with e-scooter usage positively. Population owning motor vehicles is negatively associated with shared e-scooter trips, suggesting a reduction in e-scooter usage among motor vehicle owners. Furthermore, we found that the effect of humidity is more important than precipitation in predicting hourly e-scooter trip count. Buffer analysis showed, nearly 29% trips were stopped, and 27% trips were started on the footpath, revealing higher utilisation of footpaths for parking e-scooters in Melbourne.

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