SKM 2023 – scientific programme
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SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 10: Traffic Dynamics, Urban and Regional Systems I
SOE 10.4: Talk
Wednesday, March 29, 2023, 15:45–16:00, ZEU 260
Demand-driven design of bike path networks — •Christoph Steinacker1, David-Maximilian Stroch1, Marc Timme1,2, and Malte Schröder1 — 1Chair for Network Dynamics, Institute of Theoretical Physics & Center for Advancing Electronics Dresden (cfaed), TU Dresden — 2Lakeside Labs, Klagenfurt, Austria
Cycling is crucial for sustainable urban transportation. Promoting cycling critically relies on a sufficiently developed bicycle infrastructure. In general, designing efficient infrastructure networks constitutes a highly complex problem that requires balancing multiple, often opposing, constraints. In particular, bike path networks need to enable both safe and direct travel for all cyclists with an often strongly limited budget and strong competition for limited road space.
Here, we present a framework to create families of efficient bike path networks [1]. We reverse the network formation process and iteratively remove bike paths from an initially complete bike path network. In addition, we continually update cyclists’ route choices, explicitly taking into account the cyclists’ demand and their safety and convenience preferences. In this way, we create a sequence of networks that is always adapted to the current cycling demand.
We illustrate the applicability of this demand-driven planning scheme with empirical infrastructure and demand data. The framework may thus enable us to study properties of the structure of efficient bike path networks across cities and quantify the impact of different demand distributions.
[1] Steinacker et al., Nat. Comput. Sci. 2, 655-664 (2022).