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Implementing Design and Operational Measures for Sustainable Mobility: Lessons from Zurich

Author

Listed:
  • Monica Menendez

    (Division of Engineering, New York University Abu Dhabi, Abu Dhabi 129188, United Arab Emirates)

  • Lukas Ambühl

    (Institute for Transport Planning and Systems, ETH Zurich, 8092 Zurich, Switzerland)

Abstract

Increasing mobility and urbanization is important for economic prosperity but leads to higher urban traffic congestion, which is associated with many negative externalities. Therefore, cities are in need of integrative solutions that reduce their transportation network’s spatial and environmental footprint, while maintaining the highest transportation efficiency possible. Focusing on a nontraditional and more sustainable cycle of urban transportation, this paper covers an integrated perspective by describing a combination of individual design and operational measures. To do so, a case study of the city of Zurich is presented, which consistently ranks highly across different indicators, from smart city to sustainability. This paper is therefore a qualitative review of different measures that the city has implemented to become more sustainable. The measures are compared with indicators from the existing literature and classify them into three clusters: (i) measures discouraging private motorized transport, (ii) measures encouraging public transport, and (iii) measures encouraging human-powered mobility. The discussion thereof allows us to integrate the different measures to define a sustainable transportation cycle, which potentially serves as a best-practice example.

Suggested Citation

  • Monica Menendez & Lukas Ambühl, 2022. "Implementing Design and Operational Measures for Sustainable Mobility: Lessons from Zurich," Sustainability, MDPI, vol. 14(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:625-:d:719154
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    Citations

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    Cited by:

    1. Julio César dos Santos & Paulo Ribeiro & Ricardo Jorge Silva Bento, 2023. "A Review of the Promotion of Sustainable Mobility of Workers by Industries," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    2. Abdullah H. Al-Nefaie & Theyazn H. H. Aldhyani, 2023. "Predicting CO 2 Emissions from Traffic Vehicles for Sustainable and Smart Environment Using a Deep Learning Model," Sustainability, MDPI, vol. 15(9), pages 1-21, May.
    3. Anja K. Faulhaber & Jens Hegenberg & Sophie Elise Kahnt & Franz Lambrecht & Daniel Leonhäuser & Stefan Saake & Franka Wehr & Ludger Schmidt & Carsten Sommer, 2022. "Development of a Passenger Assistance System to Increase the Attractiveness of Local Public Transport," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    4. Jindong Wang & Jianguo Ying & Shengchuan Jiang, 2022. "An Adaptive Traffic-Calming Measure and Effectiveness Evaluation in a Large Urban Complex of Shanghai, China," Sustainability, MDPI, vol. 14(20), pages 1-10, October.

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