Analyzing Geospatial Key Factors and Predicting Bike Activity in Hamburg

Author:

Roussel CédricORCID,Rolwes AlexanderORCID,Böhm Klaus

Publisher

Springer International Publishing

Reference17 articles.

1. Bendler, J., Brandt, T., Neumann, D.: An open door may tempt a saint - data analytics for spatial criminology. In: Proceedings of the 24th European Conference on Information Systems, ECIS 2016, Research Paper 98 (2016)

2. Deutsche Bahn AG 2016. Open-Data-Portal – Deutsche Bahn. https://data.deutschebahn.com. Accesed 30 April 2021

3. Gao, K., Yang, Y., Li, A., Qu, X.: Spatial heterogeneity in distance decay of using bike sharing: an empirical large-scale analysis in Shanghai. Proc. Transp. Res. Part D 94(2021), 102814 (2021)

4. Klemmer, K., Willing, C., Wagner, S., Brandt, T.: Explaining spatio-temporal dynamics in carsharing: a case study of Amsterdam. In: Proceedings of the 22nd Americas Conference on Information Systems, San Diego (2016)

5. Klemmer, K., Brandt, T., Jarvis, S.: Isolating the effect of cycling on local business environments in London. PLoS ONE 13(12), e0209090 (2018)

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