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Updated: Jun 27, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
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Traffic-Weighted Detour Ratio Identifies Inefficient Cycling Routes.

Xinze Qiu1,2, Tianli Gao3, Jingru Yu1

  • 1Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China.

Entropy (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

Dockless bike-sharing offers sustainable urban transport. A new cycling-traffic-weighted detour ratio better identifies inefficient routes than the standard detour ratio, aiding urban planning.

Keywords:
cycling-traffic-weighted detour ratiodockless sharing bikesinfrastructurevehicle traffic

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Area of Science:

  • Urban planning and transportation science.
  • Sustainable mobility and smart city development.

Background:

  • Urban congestion stems from complex travel demands, road networks, and multi-modal transport.
  • Bike-sharing systems, especially dockless models, are vital for sustainable transport, reducing emissions and congestion.
  • Existing metrics like the detour ratio inadequately capture route-level congestion.

Purpose of the Study:

  • To evaluate the effectiveness of the detour ratio in reflecting urban congestion.
  • To investigate the relationship between cycling flow, motor vehicle traffic, and road network structure.
  • To propose an improved metric for identifying inefficient cycling routes.

Main Methods:

  • Utilizing large-scale dockless bike-sharing and taxi trajectory data from Beijing.
  • Quantitatively analyzing the interplay between cycling patterns, vehicular traffic, and urban road topology.
  • Developing and validating a novel cycling-traffic-weighted detour ratio.

Main Results:

  • The standard detour ratio is insufficient for assessing route-level congestion.
  • Significant correlations exist between cycling flow, motor vehicle traffic, and road network characteristics.
  • The proposed cycling-traffic-weighted detour ratio effectively identifies potentially inefficient cycling routes.

Conclusions:

  • Rethinking congestion metrics is crucial for effective urban transport management.
  • Dockless bike-sharing data, combined with traffic data, offers valuable insights for urban planning.
  • The cycling-traffic-weighted detour ratio provides a tool for targeted infrastructure optimization and evidence-based planning.