Clustering Micromobility Devices based on Speed and Comfort
Pedestrians and micromobility devices are grouped into 4 clusters with increasing speed and decreasing comfort. The Clusters are assigned a Path User Comfort Equivalent (PUCE) factor which can be used in pathway design to adjust volume impacts on pedestrian comfort. Clusters 1 (including skates and...
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| Format: | Article |
| Language: | English |
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Findings Press
2024-09-01
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| Series: | Findings |
| Online Access: | https://doi.org/10.32866/001c.123208 |
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| _version_ | 1850219276871401472 |
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| author | Amir Hassanpour Alex Bigazzi |
| author_facet | Amir Hassanpour Alex Bigazzi |
| author_sort | Amir Hassanpour |
| collection | DOAJ |
| description | Pedestrians and micromobility devices are grouped into 4 clusters with increasing speed and decreasing comfort. The Clusters are assigned a Path User Comfort Equivalent (PUCE) factor which can be used in pathway design to adjust volume impacts on pedestrian comfort. Clusters 1 (including skates and mobility aids), 2 (non-motorized cycles), 3 (most motorized devices), and 4 (moped-style scooters) have PUCE of 1.0, 2.1, 2.8, and 4.0 respectively. Scenario analysis shows that most pedestrians would still feel comfortable with a large shift from Cluster 2 to Cluster 3 (i.e., bicycle electrification), but that increasing device speeds would substantially degrade pedestrian comfort. |
| format | Article |
| id | doaj-art-f313cdfbb6dc421892546e59cd2cae78 |
| institution | OA Journals |
| issn | 2652-8800 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Findings Press |
| record_format | Article |
| series | Findings |
| spelling | doaj-art-f313cdfbb6dc421892546e59cd2cae782025-08-20T02:07:26ZengFindings PressFindings2652-88002024-09-0110.32866/001c.123208Clustering Micromobility Devices based on Speed and ComfortAmir HassanpourAlex BigazziPedestrians and micromobility devices are grouped into 4 clusters with increasing speed and decreasing comfort. The Clusters are assigned a Path User Comfort Equivalent (PUCE) factor which can be used in pathway design to adjust volume impacts on pedestrian comfort. Clusters 1 (including skates and mobility aids), 2 (non-motorized cycles), 3 (most motorized devices), and 4 (moped-style scooters) have PUCE of 1.0, 2.1, 2.8, and 4.0 respectively. Scenario analysis shows that most pedestrians would still feel comfortable with a large shift from Cluster 2 to Cluster 3 (i.e., bicycle electrification), but that increasing device speeds would substantially degrade pedestrian comfort.https://doi.org/10.32866/001c.123208 |
| spellingShingle | Amir Hassanpour Alex Bigazzi Clustering Micromobility Devices based on Speed and Comfort Findings |
| title | Clustering Micromobility Devices based on Speed and Comfort |
| title_full | Clustering Micromobility Devices based on Speed and Comfort |
| title_fullStr | Clustering Micromobility Devices based on Speed and Comfort |
| title_full_unstemmed | Clustering Micromobility Devices based on Speed and Comfort |
| title_short | Clustering Micromobility Devices based on Speed and Comfort |
| title_sort | clustering micromobility devices based on speed and comfort |
| url | https://doi.org/10.32866/001c.123208 |
| work_keys_str_mv | AT amirhassanpour clusteringmicromobilitydevicesbasedonspeedandcomfort AT alexbigazzi clusteringmicromobilitydevicesbasedonspeedandcomfort |