Backcasting as a tool for governing transitions beyond technosolutionism: the Torino2050 and ToMove projects
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Date
2024
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Publisher
AESOP
Abstract
The paper addresses the complex and multifaceted issue of how planners, public administrations and scholars can approach high-tech transitions, and more generally the governance of transition to desired futures beyond techno-solutionism. The paper first presents the results of the Torino2050 project, which addressed the issue of governing the transition to autonomous driving. It then discusses how a collaborative backcasting approach will be applied in the recently launched ToMove project, which will test an autonomous public transport shuttle and a robot for last-mile delivery in a quasi-superblock testbed area. The project is promoted by the Municipality of Turin and the authors are involved in setting up a participatory scenario planning process. The project is a useful opportunity to actively involve the public administration in the scenario planning process, taking stock of the lessons learnt in the previous Torino2050 project.
Keywords: scenario-planning, backcasting, autonomous vehicles, public administrations
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CC-BY