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Spatial and temporal analysis of bike-sharing use in Cologne taking into account a public transit disruption
Affiliation:1. Department of Human Geography, University of Toronto Scarborough, 1265 Military Trail, Scarborough, Ontario M1C 1A4, Canada;2. Department of Transport Engineering and Logistics, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Santiago, Chile;3. Center for Sustainable Urban Development (CEDEUS), Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Chile;4. Sustainability Division, Pontificia Universidad Católica de Chile, Vicuña Mackenna 4860, Macul, Chile;5. Departamento de Urbanismo, Facultad de Arquitectura y Urbanismo, Universidad de Chile, Av. Portugal 84, Santiago, Chile;1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, Nanjing 211189, China;2. School of Automobile, Chang’an University, Xi’an, 710064, China.;1. Ural State University of Railway Transport (USURT), ul. Kolmogorova, 66,. Yekaterinburg 620034, Russia;2. Deputy Head of the Production Infrastructure Department of the Moscow Representative Office of the Joint-Stock Company "Federal Cargo Company", JSC"FGK", Masha Poryvaeva str., 34, Moscow 107078, Russia
Abstract:This research analyzes the relationship between bike-sharing and public transit using bike-sharing data collected in Cologne, Germany. The selected system is one of very few in Germany that is organized as a free-floating system, which allows the generation of more detailed data. A construction site in the light rail network causing multiple disruptions in the public transit network offered the possibility to detect changes in bike-sharing usage that occur in the corresponding period. Applying negative binomial regression, spatial and temporal usage patterns are analyzed to identify connections to the public transit network and other factors influencing the usage of bike sharing. The analysis suggests the existence of a spatial relationship between bike-sharing and public transit. Therefore, an intermodal use of both means of transport can be assumed. The short-term changes in the public transit network caused by the construction site only have minor impacts on the usage patterns. Other factors that affect the usage structures could be identified. Proximity to universities as well as the number of certain points of interest nearby, such as food outlets and shops, promote bike-sharing use. Higher temperatures are also positively correlated, while rain reduces usage. The findings of the study can be beneficial to integrate bike-sharing into urban transport systems, especially regarding public transit.
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