Design of a Forecasting Method for Occupancy Rates in Local Public Transport Based on Data from Automatic Passenger Counting Systems-Reference-Cited by-同舟云学术

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Design of a Forecasting Method for Occupancy Rates in Local Public Transport Based on Data from Automatic Passenger Counting Systems

Published:2023 Issue: Volume: Page:13-28
ISSN:2194-8917
Container-title:Advances in Resilient and Sustainable Transport
language:
Short-container-title:

Author:

Saake Stefan^ORCID,Sommer Carsten^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-28236-2_2

Reference19 articles.

1. Bundes-Klimaschutzgesetz: KSG (2019). https://www.gesetze-im-internet.de/ksg/BJNR251310019.html. Accessed 07 Nov 2022

2. Umweltbundesamt: Treibhausgasminderungsziele Deutschlands (2022). https://www.umweltbundesamt.de/daten/klima/treibhausgasminderungsziele-deutschlands#nationale-treibhausgasminderungsziele. Accessed 11 Nov 2022

3. Aamaas, B., Borken-Kleefeld, J., Peters, G.P.: The climate impact of travel behavior: a German case study with illustrative mitigation options. Environ. Sci. Policy 33, 273–282 (2013)

4. Faulhaber, A.K., et al.: Development of a passenger assistance system to increase the attractiveness of local public transport. Sustainability 14, 4151 (2022)

5. NVV Homepage. https://www.nvv.de/der-nvv/ueber-den-nvv/. Accessed 07 Nov 2022

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