Access distance to e-scooters: Analysis of app use and trip data in Stockholm

Users’ access distance to shared micromobility services is an important component of travel patterns, a determinant of travel choices, and input to determining service catchment areas. Users’ willingness to walk to shared micromobility vehicles is increasingly relevant as policymakers regulate share...

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Main Authors: Boel Berg Wincent, Erik Jenelius, Wilco Burghout
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Cycling and Micromobility Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2950105923000049
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author Boel Berg Wincent
Erik Jenelius
Wilco Burghout
author_facet Boel Berg Wincent
Erik Jenelius
Wilco Burghout
author_sort Boel Berg Wincent
collection DOAJ
description Users’ access distance to shared micromobility services is an important component of travel patterns, a determinant of travel choices, and input to determining service catchment areas. Users’ willingness to walk to shared micromobility vehicles is increasingly relevant as policymakers regulate shared free-floating e-scooters to designated parking zones. This paper proposes a novel approach to analyze access distances of e-scooters users based on e-scooter app use and trip data for Stockholm, Sweden. Euclidean access and map-based walking distances are derived from the distances between the location where the users opens the app to search for an e-scooter and the trip’s origin. Variations in access and walking distances are analyzed based on time of day, day of week, proximity to public transportation, and geographical distribution. Users walk on average 185 m and have an active walking time of 2.3 min with a median value of 95 m and 2.1 min. Shorter walking distances are observed for trips during the morning and lunch hours compared to the afternoon and at night. Furthermore, users walk slightly longer during the weekend compared to weekdays. Access distances are shortest within a 0–100 m radius to the nearest public transportation station. The suggested catchment area radius for shared e-scooters ranges from 128 m to 203 m, based on the 75th percentile of access distances. A policy implication is the importance of planning parking zones for e-scooters very close to public transportation to encourage multimodal trips.
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spelling doaj-art-9ce348cc8b0f4aa6b2585bf31d95ae092025-08-20T02:02:56ZengElsevierJournal of Cycling and Micromobility Research2950-10592023-12-01110000410.1016/j.jcmr.2023.100004Access distance to e-scooters: Analysis of app use and trip data in StockholmBoel Berg Wincent0Erik Jenelius1Wilco Burghout2Corresponding author.; Division of Transport Planning, KTH Royal Institute of Technology, Brinellvägen 23, SE-100 44 Stockholm, SwedenDivision of Transport Planning, KTH Royal Institute of Technology, Brinellvägen 23, SE-100 44 Stockholm, SwedenDivision of Transport Planning, KTH Royal Institute of Technology, Brinellvägen 23, SE-100 44 Stockholm, SwedenUsers’ access distance to shared micromobility services is an important component of travel patterns, a determinant of travel choices, and input to determining service catchment areas. Users’ willingness to walk to shared micromobility vehicles is increasingly relevant as policymakers regulate shared free-floating e-scooters to designated parking zones. This paper proposes a novel approach to analyze access distances of e-scooters users based on e-scooter app use and trip data for Stockholm, Sweden. Euclidean access and map-based walking distances are derived from the distances between the location where the users opens the app to search for an e-scooter and the trip’s origin. Variations in access and walking distances are analyzed based on time of day, day of week, proximity to public transportation, and geographical distribution. Users walk on average 185 m and have an active walking time of 2.3 min with a median value of 95 m and 2.1 min. Shorter walking distances are observed for trips during the morning and lunch hours compared to the afternoon and at night. Furthermore, users walk slightly longer during the weekend compared to weekdays. Access distances are shortest within a 0–100 m radius to the nearest public transportation station. The suggested catchment area radius for shared e-scooters ranges from 128 m to 203 m, based on the 75th percentile of access distances. A policy implication is the importance of planning parking zones for e-scooters very close to public transportation to encourage multimodal trips.http://www.sciencedirect.com/science/article/pii/S2950105923000049E-scooterElectric scooterMicromobilityWalking distanceAccess distance
spellingShingle Boel Berg Wincent
Erik Jenelius
Wilco Burghout
Access distance to e-scooters: Analysis of app use and trip data in Stockholm
Journal of Cycling and Micromobility Research
E-scooter
Electric scooter
Micromobility
Walking distance
Access distance
title Access distance to e-scooters: Analysis of app use and trip data in Stockholm
title_full Access distance to e-scooters: Analysis of app use and trip data in Stockholm
title_fullStr Access distance to e-scooters: Analysis of app use and trip data in Stockholm
title_full_unstemmed Access distance to e-scooters: Analysis of app use and trip data in Stockholm
title_short Access distance to e-scooters: Analysis of app use and trip data in Stockholm
title_sort access distance to e scooters analysis of app use and trip data in stockholm
topic E-scooter
Electric scooter
Micromobility
Walking distance
Access distance
url http://www.sciencedirect.com/science/article/pii/S2950105923000049
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AT erikjenelius accessdistancetoescootersanalysisofappuseandtripdatainstockholm
AT wilcoburghout accessdistancetoescootersanalysisofappuseandtripdatainstockholm