Intermodal rail freight mode choice variables for short-distance transportation in Switzerland

Mobility Initiative Project

Switzerland is committed to achieving net-zero greenhouse gas emissions by 2050, and the transportation sector has been identified as a significant contributor to CO2 emissions. To reduce transport emissions, promoting environmentally friendly intermodal rail transport is essential. The European modal shift policy promotes medium and long-distance intermodal rail transport (over 300 km). However, Switzerland’s unique geography makes short-distance intermodal rail transport (<300 km) especially important. In order to fully understand the short-distance intermodal rail transport pattern, mode choice variables are critical.

However, existing research suggests that mode choice variables for medium- and long-distance intermodal rail do not adequately explain behavior in short-distance intermodal rail. In addition, mode choice variables have been found to vary widely across countries, leading to conflicting views in existing research. In particular, there is a lack of research on mode choice analysis for intermodal rail transport within Switzerland.

This research aims to fill this gap by using qualitative and quantitative methods to understand how different factors influence mode choice in Switzerland thoroughly. The quantitative analysis tool that will be developed by combining the demand prediction model (RPL) and intermodal rail planning model (MILP), is critical for understanding the interactions between demand-side (shippers, receivers, and forwarders) and supply-side (intermodal operators, railroads, and terminal operators) decisions in multimodal systems. It helps to make informed decisions about intermodal service design, infrastructure development, rail planning, and policymaking.

Intermodal operators such as SBB Cargo can use the research findings to better align intermodal rail transport with customer preferences and market demands. Policymakers must thoroughly understand mode choice variables to shape transportation policies effectively. By analyzing the impact of different policies, policymakers can make informed decisions about shifting freight from road to rail in Switzerland.

Prof. Dr. Stephan Wagner
Full Professor at the Department of Management, Technology, and Economics Head of Dep. of Management, Technology, and Ec.
  • +41 44 632 32 59

ETH Zurich
Professur für Logistikmanagement
Weinbergstr. 56/58
8092 Zurich
Switzerland

Stephan Wagner
Jing Shan

ETH Zurich
Professur für Logistikmanagement
Weinbergstr. 56/58
8092 Zurich
Switzerland

Jing Shuan

Partner

  • Siemens
  • SBB

Roadmap

10.2024 - 09.2026 (24 months)

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