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The Munich Bikeability Index: A Practical Approach for Measuring Urban Bikeability

Author

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  • Jonas Schmid-Querg

    (Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany)

  • Andreas Keler

    (Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany)

  • Georgios Grigoropoulos

    (Chair of Traffic Engineering and Control, Technical University of Munich (TUM), 80333 Munich, Germany)

Abstract

This research addresses the phenomenon of varying bicycle friendliness in urban areas and considers which elements are necessary to design a city in a bike-friendly manner. It aims to provide a deeper understanding of the term bikeability, in relation to the established term walkability, and methods to create models that measure the degree of bikeability in urban areas. We explain different established models and compare their computational bases. The focus of this paper is to define a computational methodology built within a Geographic Information System (GIS) and a subsequent evaluation based on an investigation area in Munich, Germany. We introduce a bikeability index for specific investigation areas and geovisualize four selected factors of this index. The resulting map views show the road segments of the traffic network where the conditions for biking are adequate, but also those segments which need to be improved.

Suggested Citation

  • Jonas Schmid-Querg & Andreas Keler & Georgios Grigoropoulos, 2021. "The Munich Bikeability Index: A Practical Approach for Measuring Urban Bikeability," Sustainability, MDPI, vol. 13(1), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:1:p:428-:d:475067
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    References listed on IDEAS

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    Cited by:

    1. Seungkyu Ryu & Anthony Chen & Jacqueline Su & Xintao Liu & Jiangbo (Gabe) Yu, 2021. "Considering Space Syntax in Bicycle Traffic Assignment with One or More User Classes," Sustainability, MDPI, vol. 13(19), pages 1-15, October.
    2. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.
    3. Fernando Fonseca & Paulo Ribeiro & Carolina Neiva, 2023. "A Planning Practice Method to Assess the Potential for Cycling and to Design a Bicycle Network in a Starter Cycling City in Portugal," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    4. Renata Żochowska & Marianna Jacyna & Marcin Jacek Kłos & Piotr Soczówka, 2021. "A GIS-Based Method of the Assessment of Spatial Integration of Bike-Sharing Stations," Sustainability, MDPI, vol. 13(7), pages 1-29, April.
    5. David Ziegler & Sebastian Wolff & Ana-Beatrice Agu & Giorgio Cortiana & Muhammad Umair & Flore de Durfort & Esther Neumann & Georg Walther & Jakob Kristiansen & Markus Lienkamp, 2023. "How to Measure Sustainability? An Open-Data Approach," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    6. Tufail Ahmed & Ali Pirdavani & Davy Janssens & Geert Wets, 2023. "Utilizing Intelligent Portable Bicycle Lights to Assess Urban Bicycle Infrastructure Surfaces," Sustainability, MDPI, vol. 15(5), pages 1-22, March.
    7. Bertha Santos & Sílvia Passos & Jorge Gonçalves & Isabel Matias, 2022. "Spatial Multi-Criteria Analysis for Road Segment Cycling Suitability Assessment," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    8. Lorenz Beck & Simge Özdal Oktay, 2023. "Designing a Cycling Dashboard as a Way of Communicating Local Sustainability," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    9. Michael Hardinghaus & Simon Nieland & Marius Lehne & Jan Weschke, 2021. "More than Bike Lanes—A Multifactorial Index of Urban Bikeability," Sustainability, MDPI, vol. 13(21), pages 1-17, October.

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