Opening up Macroscopic Transport Modelling: An Open Source Model for Germany

he mitigation of climate change requires major transitions in all energy sectors. Today, transport systems are highly dependent on oil products from fossil fuels in most countries of the world, which demands the near-term implementation of integral transformation pathways. Modelling traditionally supports the analysis of complex systems and corresponding decision-making. The availability of models and corresponding data is crucial in order to enable full transparency and reproducibility – two central guiding principles of science. Open source modelling and open data is desirable in a way that it promotes barrier-free co-development of new approaches towards complex decarbonisation pathways. Currently, freely and openly available modelling frameworks, as well as open data sources are rare in the field of macroscopic transport modelling. Therefore, this work contributes an open source model for the German passenger transport sector in NUTS-3 level resolution. It is oriented towards classical four-step models with specific focus on mode choice, which is formulated in a nested logit model. The modelling framework is quetzal, a transport modelling library for Python. Network data and public transport supply stems from open data sources, whereas transport demand data comes from federal research programs under copyright. These differentiate trips into five different purposes and various modes. The current network depiction allows five modes of transport: Long-distance train, short-distance train, local transport (bus, tram, and underground), car, and non-motorised transport. The inclusion of coach and air transport services is under development. This paper serves as documentation of a new model and general manual for new entrants in macroscopic transport modelling. Moreover, it shall motivate the community to open up their modelling and develop sustainable transport futures jointly.

• Record URL:
  https://aetransport.org/past-etc-papers/conference-papers-2020
• Supplemental Notes:
  • Abstract used by permission of Association for European Transport.
• Corporate Authors:

  Association for European Transport (AET)

  1 Vernon Mews, Vernon Street, West Kensington
  London W14 0RL,    
• Authors:
  • Arnz, Marlin
• Conference:
  • European Transport Conference 2020
  • Date: 2020-9-9 to 2020-9-11
• Publication Date: 2020

Language

• English

Media Info

• Media Type: Digital/other
• Features: Bibliography; Figures; Tables;
• Pagination: 16p
• Monograph Title: European Transport Conference 2020

Subject/Index Terms

• TRT Terms: Computer programs; Data analysis; Logits; Macroscopic traffic flow; Mode choice; Passenger transportation; Public transit; Travel demand; Trip purpose
• Geographic Terms: Germany
• Subject Areas: Data and Information Technology; Passenger Transportation; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01768527
• Record Type: Publication
• Files: TRIS
• Created Date: Mar 26 2021 5:47PM