Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los Angeles

We model how docked bikeshare can improve transit accessibility in two Los Angeles neighborhoods. We measure the fraction of study area population within 5- and 10-minute walk/bike commutes from high frequency transit (≤ 10-minute morning peak headway). We show that bikeshare can increase the number...

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Main Authors: James Huang, Marlon G. Boarnet
Format: Article
Language:English
Published: Findings Press 2022-03-01
Series:Findings
Online Access:https://doi.org/10.32866/001c.33140
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author James Huang
Marlon G. Boarnet
author_facet James Huang
Marlon G. Boarnet
author_sort James Huang
collection DOAJ
description We model how docked bikeshare can improve transit accessibility in two Los Angeles neighborhoods. We measure the fraction of study area population within 5- and 10-minute walk/bike commutes from high frequency transit (≤ 10-minute morning peak headway). We show that bikeshare can increase the number of residents within 5-minutes / 10-minutes of high frequency transit by 12% / 13% (deploying 74 docked bikeshare stations) and by 42% / 66% (deploying 296 bikeshare stations.) The results for within the 5-minute travel time are robust to siting specification changes, while the 10-minute results are more sensitive to specification.
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spelling doaj-art-dee41d070dda48a0b9c69dbe9ccb29332025-08-20T02:07:23ZengFindings PressFindings2652-88002022-03-0110.32866/001c.33140Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los AngelesJames HuangMarlon G. BoarnetWe model how docked bikeshare can improve transit accessibility in two Los Angeles neighborhoods. We measure the fraction of study area population within 5- and 10-minute walk/bike commutes from high frequency transit (≤ 10-minute morning peak headway). We show that bikeshare can increase the number of residents within 5-minutes / 10-minutes of high frequency transit by 12% / 13% (deploying 74 docked bikeshare stations) and by 42% / 66% (deploying 296 bikeshare stations.) The results for within the 5-minute travel time are robust to siting specification changes, while the 10-minute results are more sensitive to specification.https://doi.org/10.32866/001c.33140
spellingShingle James Huang
Marlon G. Boarnet
Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los Angeles
Findings
title Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los Angeles
title_full Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los Angeles
title_fullStr Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los Angeles
title_full_unstemmed Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los Angeles
title_short Analyzing the Potential Impact of Docked Bikeshare on Transit First-Last Mile Accessibility in East Los Angeles
title_sort analyzing the potential impact of docked bikeshare on transit first last mile accessibility in east los angeles
url https://doi.org/10.32866/001c.33140
work_keys_str_mv AT jameshuang analyzingthepotentialimpactofdockedbikeshareontransitfirstlastmileaccessibilityineastlosangeles
AT marlongboarnet analyzingthepotentialimpactofdockedbikeshareontransitfirstlastmileaccessibilityineastlosangeles