Leveraging the benefits of smart mobility via an integrated data platform

Leveraging the Benefits of Smart Mobility via an Integrated Data Platform

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The Role of Big Data and AI in Sustainable Urban Development

Increasingly abundant big data and artificial intelligence applications are restructuring economic activities and daily life. This is epitomized in the notion of the smart city, and especially visible on our streets, where e-scooters or pool-riding services are added every month and reshape our mobility. It’s a time of experimentation and that may be a good thing. Yet, there are also signs of discontent, raising the question of how big data can be managed and organized in a way that reduces congestion and improves the daily travel routines of millions of citizens, supports the wider public good while also leveraging Israel’s potential as a start-up nation.

This policy paper asks how big data and artificial intelligence method in smart mobility can best be managed to deliver desirable goals such as incubation of further start-ups, less gridlock on streets, and better environmental quality. Given the hype about artificial intelligence and big data, and their potential to shape the technosphere and society, it is surprising how little attention is paid to the important role of governance.

The example of smart mobility in Israel is taken to investigate how integrated data management can multiply the benefits of big data applications, while effectively managing risks.

Results indicate that integrated data platforms offer an opportunity to leverage benefits if three key design principles are followed:

  1. Open (but not necessarily free) data access
  2. Maintaining the privacy, agency and participation of individuals, users, and the public
  3. Tailoring mobility services to meet well-defined goals of public policy
Product details
Date of Publication
September 2020
Publisher
Heinrich Böll Foundation
Number of Pages
43
Licence
Language of publication
English
ISBN / DOI
10.2312/iass.2020.029
Table of contents
  1. Executive Summary
  2. Introduction
  3. The Case for Integrated Data Management
  4. Public Good Provision – Governments
  5. Innovation – Business
  6. Participation and Public Spaces Consumers and Citizens
  7. Characterizing an Integrated Data Platform [IDP]
  8. Measuring Success
  9. Measuring Costs and Risks
  10. Data Quality and Quantity
  11. Services Provided
  12. Desirable Properties
  13. Ownership and Access Rights
  14. Governance Options and Design Solutions
  15. Policy Action Towards Designing an Integrated Data Platform
  16. References
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