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The Transition to Smart Mobility

About The Transition to Smart Mobility

Most contemporary notions of the fairly recent concept ¿smart mobility¿ portray an imminent transition of similar socio-economic consequences as the shift from horses to automobiles did 100 years ago. Present book thus offers an in-depth look at the variables involved in the equation of smart mobility acceptance (1) and envisaged institutional change (2). Both views are embedded in the Multi-Level Perspective. Study 1 develops a structural equation model in SmartPLS. Use cases cover eBikes (N=537), mobility-as-a-service (N=531), and fully automated vehicles (N=558). Based on the results, acceptance relies on five factors: performance expectancy, facilitating conditions, social influence, habit, and hedonic motivation.Study 2 applies the Institutional Role Model (IRM) to better understand system dynamics. Thus, the smart mobility ecosystem is mapped in a structured manner. It identifies nine institutions, as well as four technical and four economic roles. Results of interviews with experts (N=8) support the IRM¿s significance as a vision provider for a new mobility regime. In the end, these two perspectives amalgamate. This opens a sophisticated space for public debate about the commencing transition to smart mobility.

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  • Language:
  • English
  • ISBN:
  • 9783658430009
  • Binding:
  • Paperback
  • Pages:
  • 316
  • Published:
  • October 19, 2023
  • Edition:
  • 23001
  • Dimensions:
  • 148x18x210 mm.
  • Weight:
  • 411 g.
Delivery: 2-4 weeks
Expected delivery: December 15, 2024

Description of The Transition to Smart Mobility

Most contemporary notions of the fairly recent concept ¿smart mobility¿ portray an imminent transition of similar socio-economic consequences as the shift from horses to automobiles did 100 years ago. Present book thus offers an in-depth look at the variables involved in the equation of smart mobility acceptance (1) and envisaged institutional change (2).
Both views are embedded in the Multi-Level Perspective. Study 1 develops a structural equation model in SmartPLS. Use cases cover eBikes (N=537), mobility-as-a-service (N=531), and fully automated vehicles (N=558). Based on the results, acceptance relies on five factors: performance expectancy, facilitating conditions, social influence, habit, and hedonic motivation.Study 2 applies the Institutional Role Model (IRM) to better understand system dynamics. Thus, the smart mobility ecosystem is mapped in a structured manner. It identifies nine institutions, as well as four technical and four economic roles. Results of interviews with experts (N=8) support the IRM¿s significance as a vision provider for a new mobility regime.
In the end, these two perspectives amalgamate. This opens a sophisticated space for public debate about the commencing transition to smart mobility.

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