The Transition to Smart Mobility: Acceptance and Roles in Future Transportation (Mobilität – Innovation – Transformation)

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. Preface Abstract Contents Abbreviations List of Figures List of Tables 1 Introduction 1.1 The Multi-Level Perspective 1.2 Smart Mobility 1.3 Challenging Automobility 1.3.1 The Importance of a User Perspective 1.3.2 The Importance of an Institutional Perspective 1.3.3 The Enriched MLP of Smart Mobility 1.4 Scope and Design 1.4.1 Research Questions 1.4.2 Dissertation Structure 1.4.3 Use Case Selection 2 The User Perspective 2.1 Theoretical Framework 2.1.1 The Concept of Individual Acceptance 2.1.2 Behavioral Acceptance Modeling 2.1.3 Literature Review 2.1.4 Synthesis for Smart Mobility 2.1.5 The Acceptance Factors of Smart Mobility 2.2 Conceptualization 2.2.1 Model Development 2.2.2 Model Extension 2.2.3 Model Context 2.2.4 Research Model 2.3 Results 2.3.1 Methodology 2.3.2 Data 2.3.3 Descriptive Results 2.3.4 PLS-SEM Results 2.3.5 Model Modification 2.4 Discussion 2.4.1 Factors of Acceptance 2.4.2 Acceptance by Use Cases 2.4.3 Context of Acceptance 2.4.4 Implications for Theory 2.4.5 Implications for Practice 2.4.6 Limitations 3 The Institutional Perspective 3.1 The Institutional Role Model 3.1.1 Theory 3.1.2 Methodology 3.1.3 Application 3.2 Model Development 3.2.1 Initialization 3.2.2 Identification 3.2.3 Matrixation 3.3 Feedback Interviews 3.3.1 Data Collection 3.3.2 Data Evaluation 3.3.3 Results 3.4 Discussion 3.4.1 Model Validation 3.4.2 Implications for IRM Theory 3.4.3 Implications for Smart Mobility 4 Conclusion 4.1 Contribution 4.1.1 Acceptance Research 4.1.2 Cooperations Research 4.1.3 Transition Research 4.1.4 Advancing Smart Mobility 4.2 Excursus: Habermas and Smart Mobility 4.2.1 The New Confusion 4.2.2 The Public Debate as a Workshop on the Future 4.2.3 On Decisions 4.3 Outlook References