The Transition to Smart Mobility
- Indbinding:
- Paperback
- Sideantal:
- 316
- Udgivet:
- 20. oktober 2023
- Udgave:
- 23001
- Størrelse:
- 148x18x210 mm.
- Vægt:
- 411 g.
- 8-11 hverdage.
- 15. januar 2025
På lager
Forlænget returret til d. 31. januar 2025
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Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af 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.
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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