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- W2433104644 abstract "We present a simulation methodology for generating the locations of stations in Bicycle-Sharing Systems. We present several methods that are inspired by the literature on spatial point processes. We evaluate how the artificially generated systems compare to existing systems through a case study involving 11 cities worldwide. The method that is found to perform best is a data-driven approach in which we use a dataset of places of interest in the city to ‘rate’ how attractive city areas are for station placement. The presented methods use only non-proprietary data readily available via the Internet." @default.
- W2433104644 created "2016-06-24" @default.
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- W2433104644 date "2016-01-01" @default.
- W2433104644 modified "2023-09-27" @default.
- W2433104644 title "Probabilistic Modelling of Station Locations in Bicycle-Sharing Systems" @default.
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- W2433104644 doi "https://doi.org/10.1007/978-3-319-50230-4_7" @default.
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