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http://hdl.handle.net/1942/39678
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DC Field | Value | Language |
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dc.contributor.author | AHMED, Tufail | - |
dc.contributor.author | PIRDAVANI, Ali | - |
dc.contributor.author | JANSSENS, Davy | - |
dc.contributor.author | WETS, Geert | - |
dc.date.accessioned | 2023-03-14T09:12:26Z | - |
dc.date.available | 2023-03-14T09:12:26Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-03-02T15:33:04Z | - |
dc.identifier.citation | Sustainability, 15 (5) (Art N° 4495) | - |
dc.identifier.uri | http://hdl.handle.net/1942/39678 | - |
dc.description.abstract | Vibration from bicycle infrastructure affects the cyclists' comfort and the choice of this transportation mode. This study uses smart portable bicycle lights to measure the vibration and quantify the level of cycling comfort on cycling infrastructure. A total of 28 bicycle streets and paths were selected in the city of Hasselt, Belgium, as the case study area. Six volunteer cyclists were recruited for the vibration sensitivity test of the device before the actual data collection. The results showed no considerable difference in the vibration recorded separately on each tested bicycle surface. The average vibration values vary from 1 to 17.78, indicating that riding comfort varies significantly across different surfaces. Asphalt and concrete roads had the lowest vibration and were the most comfortable in the study area. In contrast, cobblestone-paved bike paths were the least comfortable because of higher vibration. A comfort level map was developed based on the relationship between cycle vibration and subjective perception of comfort level. Twenty cyclists participated in the perception of vibration test. The comfort level is inversely correlated with the vibration. This methodology is adaptable to any other setting. Additionally, practitioners can use it to check and track the quality of the surface of the bicycle infrastructure over time. | - |
dc.description.sponsorship | This research received no external funding The authors thank Irene McAleese, Philip McAleese, and Rachael Irwin for providing SEE.SENSE ACE bicycle lights for data collection. We also thank them for providing the data collected through the device | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | - |
dc.subject.other | cycling comfort | - |
dc.subject.other | infrastructure planning | - |
dc.subject.other | surface pavement quality | - |
dc.subject.other | cycling comfort mapping | - |
dc.subject.other | cycle vibration | - |
dc.title | Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces | - |
dc.type | Journal Contribution | - |
dc.identifier.issue | 5 | - |
dc.identifier.volume | 15 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.bibliographicCitation.artnr | 4495 | - |
dc.identifier.doi | 10.3390/su15054495 | - |
local.provider.type | - | |
local.uhasselt.international | no | - |
item.fullcitation | AHMED, Tufail; PIRDAVANI, Ali; JANSSENS, Davy & WETS, Geert (2023) Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces. In: Sustainability, 15 (5) (Art N° 4495). | - |
item.contributor | AHMED, Tufail | - |
item.contributor | PIRDAVANI, Ali | - |
item.contributor | JANSSENS, Davy | - |
item.contributor | WETS, Geert | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.eissn | 2071-1050 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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sustainability-15-04495.pdf | Published version | 1.98 MB | Adobe PDF | View/Open |
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