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Crowdsourced Quantification and Visualization of Urban Mobility Space Inequality

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  • Szell, Michael

Abstract

Most cities are car-centric, allocating a privileged amount of urban space to cars at the expense of sustainable mobility like cycling. Simultaneously, privately owned vehicles are vastly underused, wasting valuable opportunities for accommodating more people in a livable urban environment by occupying spacious parking areas. Since a data-driven quantification and visualization of such urban mobility space inequality is lacking, here we explore how crowdsourced data can help to advance its understanding. In particular, we describe how the open-source online platform What the Street!? uses massive user-generated data from OpenStreetMap for the interactive exploration of city-wide mobility spaces. Using polygon packing and graph algorithms, the platform rearranges all parking and mobility spaces of cars, rails, and bicycles of a city to be directly comparable, making mobility space inequality accessible to a broad public. This crowdsourced method confirms a prevalent imbalance between modal share and space allocation in 23 cities worldwide, typically discriminating bicycles. Analyzing the guesses of the platform’s visitors about mobility space distributions, we find that this discrimination is consistently underestimated in the public opinion. Finally, we discuss a visualized scenario in which extensive parking areas are regained through fleets of shared, autonomous vehicles. We outline how such accessible visualization platforms can facilitate urban planners and policy makers to reclaim road and parking space for pushing forward sustainable transport solutions.

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  • Szell, Michael, 2018. "Crowdsourced Quantification and Visualization of Urban Mobility Space Inequality," SocArXiv je5r4, Center for Open Science.
  • Handle: RePEc:osf:socarx:je5r4
    DOI: 10.31219/osf.io/je5r4
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    Cited by:

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    4. Kassens-Noor, Eva & Dake, Dana & Decaminada, Travis & Kotval-K, Zeenat & Qu, Teresa & Wilson, Mark & Pentland, Brian, 2020. "Sociomobility of the 21st century: Autonomous vehicles, planning, and the future city," Transport Policy, Elsevier, vol. 99(C), pages 329-335.
    5. Sebastian Weise & Alexander Wilson & Geoff Vigar, 2020. "Reflections on Deploying Community-Driven Visualisations for Public Engagement in Urban Planning," Urban Planning, Cogitatio Press, vol. 5(2), pages 59-70.
    6. Giulia Reggiani & Trivik Verma & Winnie Daamen & Serge Hoogendoorn, 2023. "A multi-city study on structural characteristics of bicycle networks," Environment and Planning B, , vol. 50(8), pages 2017-2037, October.
    7. Ercüment Aksoy & Nilufer Korkmaz-Yaylagul, 2019. "Assessing Liveable Cities for Older People in an Urban District in Turkey Using the Analytical Hierarchy Process," Urban Planning, Cogitatio Press, vol. 4(2), pages 83-95.
    8. Montaña Jiménez-Espada & Francisco Manuel Martínez García & Rafael González-Escobar, 2022. "Urban Equity as a Challenge for the Southern Europe Historic Cities: Sustainability-Urban Morphology Interrelation through GIS Tools," Land, MDPI, vol. 11(11), pages 1-27, October.
    9. De Gruyter, Chris & Zahraee, Seyed Mojib & Young, William, 2022. "Understanding the allocation and use of street space in areas of high people activity," Journal of Transport Geography, Elsevier, vol. 101(C).
    10. Ajit Singh & Gabriela Christmann, 2020. "Citizen Participation in Digitised Environments in Berlin: Visualising Spatial Knowledge in Urban Planning," Urban Planning, Cogitatio Press, vol. 5(2), pages 71-83.
    11. Johannes Wachs & Mih'aly Fazekas & J'anos Kert'esz, 2019. "Corruption Risk in Contracting Markets: A Network Science Perspective," Papers 1909.08664, arXiv.org.

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