Micromobility Station Placement Optimization for a Rural Setting
Micromobility is an evolving form of transportation modality that uses small human- or electric-powered vehicles to move people short distances. Planners expected that bike sharing, the first form of micromobility, would reduce traffic congestion, cut travel cost, reduce pollution, enable connectivi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/9808922 |
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| _version_ | 1832565211480981504 |
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| author | Taraneh Askarzadeh Raj Bridgelall |
| author_facet | Taraneh Askarzadeh Raj Bridgelall |
| author_sort | Taraneh Askarzadeh |
| collection | DOAJ |
| description | Micromobility is an evolving form of transportation modality that uses small human- or electric-powered vehicles to move people short distances. Planners expected that bike sharing, the first form of micromobility, would reduce traffic congestion, cut travel cost, reduce pollution, enable connectivity with other modes of transport, and promote public health. However, micromobility options also brought new challenges such as the difficulty of placement decisions to encourage adoption and to minimize conflict with other transport modes. Sound deployment decisions depend on the unique environmental characteristics and demographics of a location. Most studies analyzed deployments in high-density urban areas. This research determines the best locations for 5 new bike-sharing stations in Fargo, North Dakota, a small urban area in the rural United States. The workflow combines a geographic information system (GIS), level of traffic stress (LTS) ratings, and location-allocation optimization models. The spatial analysis considered 18 candidate station locations and eliminated those that fell within the 700-meter isochrone walking distance of the 11 existing stations. This case study demonstrates a scalable workflow that planners can repeat to achieve sustainable micromobility deployments by considering the land use, population density, activity points, and characteristics of the available pathways in their unique setting. |
| format | Article |
| id | doaj-art-072fbc367ad74fa4a847ce062705d2fc |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-072fbc367ad74fa4a847ce062705d2fc2025-02-03T01:08:53ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/98089229808922Micromobility Station Placement Optimization for a Rural SettingTaraneh Askarzadeh0Raj Bridgelall1Transportation, Logistics & Finance, College of Business, North Dakota State University, P.O. Box 6050, Fargo, North Dakota 58108-6050, USATransportation, Logistics & Finance, College of Business, North Dakota State University, P.O. Box 6050, Fargo, North Dakota 58108-6050, USAMicromobility is an evolving form of transportation modality that uses small human- or electric-powered vehicles to move people short distances. Planners expected that bike sharing, the first form of micromobility, would reduce traffic congestion, cut travel cost, reduce pollution, enable connectivity with other modes of transport, and promote public health. However, micromobility options also brought new challenges such as the difficulty of placement decisions to encourage adoption and to minimize conflict with other transport modes. Sound deployment decisions depend on the unique environmental characteristics and demographics of a location. Most studies analyzed deployments in high-density urban areas. This research determines the best locations for 5 new bike-sharing stations in Fargo, North Dakota, a small urban area in the rural United States. The workflow combines a geographic information system (GIS), level of traffic stress (LTS) ratings, and location-allocation optimization models. The spatial analysis considered 18 candidate station locations and eliminated those that fell within the 700-meter isochrone walking distance of the 11 existing stations. This case study demonstrates a scalable workflow that planners can repeat to achieve sustainable micromobility deployments by considering the land use, population density, activity points, and characteristics of the available pathways in their unique setting.http://dx.doi.org/10.1155/2021/9808922 |
| spellingShingle | Taraneh Askarzadeh Raj Bridgelall Micromobility Station Placement Optimization for a Rural Setting Journal of Advanced Transportation |
| title | Micromobility Station Placement Optimization for a Rural Setting |
| title_full | Micromobility Station Placement Optimization for a Rural Setting |
| title_fullStr | Micromobility Station Placement Optimization for a Rural Setting |
| title_full_unstemmed | Micromobility Station Placement Optimization for a Rural Setting |
| title_short | Micromobility Station Placement Optimization for a Rural Setting |
| title_sort | micromobility station placement optimization for a rural setting |
| url | http://dx.doi.org/10.1155/2021/9808922 |
| work_keys_str_mv | AT taranehaskarzadeh micromobilitystationplacementoptimizationforaruralsetting AT rajbridgelall micromobilitystationplacementoptimizationforaruralsetting |