Innovations for Metropolitan Areas: Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin / Heidelberg
2020
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Schlagworte: | |
Online-Zugang: | DE-2070s |
Beschreibung: | Description based on publisher supplied metadata and other sources |
Beschreibung: | 1 Online-Ressource (296 pages) |
ISBN: | 9783662608067 |
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505 | 8 | |a Intro -- Foreword: Mobility-Innovationsin Metropolitan Areas -- Preface -- Table of Contents -- List of Contributors -- 1 Introduction Editors -- 1.5 Conclusion -- 1.4 Developing Digital Solutions for the Intelligent City -- 1.2 Promoting Sustainable Behaviour -- 1.1 Developing Sustainable Mobility & -- Logistics -- 1.3 Planning and Managing Sustainable Infrastructure -- I Developing Sustainable Mobility & -- Logistics -- 2 Social Transport. An Efficient Concept for Freight Transportation -- 2.1 Introduction -- 2.2 Status Quo -- 2.2.1 Terminologies -- 2.2.2 Existing Providers and Ideas -- 2.3 Definition -- 2.4 Co‐Creation Workshop -- 2.4.1 Risks -- 2.4.2 Promoting Factors -- 2.4.3 Hindering Factors -- 2.5 Summary and Outlook -- References -- 3 The Importance of Process Data Collection Techniques for Urban Logistics Planning -- 3.1 Introduction -- 3.2 State of Research -- 3.3 City Logistics Process Data -- 3.3.1 Search for Parking Spot -- 3.3.2 Loading and Unloading of Goods -- 3.4 Methodological Approaches for the Collection of Process Data -- 3.4.1 Accompanied Deliveries -- 3.4.2 GPS Data Collection -- 3.4.3 Logistics Tracker -- 3.5 Conclusion -- References -- 4 Off-Peak Delivery as a Cornerstone for Sustainable Urban Logistics: Insights from Germany -- 4.1 Introduction -- 4.2 Defining OPD -- 4.2.1 OPD: Intended Benefits and Possible Disadvantages -- 4.2.2 OPD Examples and Research -- 4.3 "GeNaLog", a Recent OPD Trial in German with Electric Trucks -- 4.4 Conclusions: GeNaLog and Beyond -- References -- 5 Longer Trucks for Climate-Friendly Transports in Metropolitan Regions -- 5.1 CO2e Savings due to Longer Trucks -- 5.2 Distribution Network of Lidl within Metropolitan Regions -- 5.3 Status Quo of Longer Trucks in the European Union -- 5.4 Methodology and Procedures -- 5.5 Potential Savings for Lidl | |
505 | 8 | |a 5.6 Recommendation for Action for Lidl -- 5.7 Conclusion and Outlook -- References -- 6 Electrified Ultralight Vehicles as a Key Element for Door-to-Door Solutions in Urban Areas -- 6.1 Mobility in Metropolitan Areas and its Impacts -- 6.2 Current Situation and Challenges for New Mobility Concepts in Metropolitan Regions in Europe-A Case Study of E‐Scooters -- 6.3 Objectives and Methodology -- 6.4 Findings and Results -- 6.5 Necessity for Further Research -- References -- II Promoting Sustainable Behavior -- 7 The Intention to Adopt Battery Electric Vehicles in Germany: Driven by Consumer Expectancy, Social Influence, Facilitating Conditions and Ecological Norm Orientation -- 7.1 Introduction -- 7.2 The Technology of Battery Electric Vehicles -- 7.3 Influencing Factors on the Adoption Intention -- 7.4 Integrated UTAUT‐NAM Model and Hypothesis Development -- 7.5 Data Collection and Operationalisation -- 7.6 Data Analysis and Results -- 7.7 Discussion -- 7.8 Practical Implications -- References -- 8 Air Taxis as a Mobility Solution for Cities-Empirical Research on Customer Acceptance of Urban Air Mobility -- 8.1 Introduction -- 8.2 Urban Air Mobility -- 8.3 Methodology -- 8.4 Results -- 8.4.1 Results: Noise -- 8.4.2 Results: Need for safety -- 8.4.3 Results: Safety for air taxis with pilots -- 8.4.4 Results: Safety of autonomous air taxis -- 8.4.5 Results: Need for individual mobility -- 8.4.6 Results: Price sensitivity -- 8.4.7 Results: Manufacturer -- 8.4.8 Results: Performance expectation -- 8.4.9 Results: Age and gender -- 8.4.10 Further influencing aspects derived in this study -- 8.5 Discussion -- 8.6 Conclusion -- 9 An Integrated Model of the Theory of Reasoned Action and Technology Acceptance Model to Predict the Consumers' Intentions to Adopt Electric Carsharing in Taiwan -- 9.1 Introduction -- 9.2 Literature Review | |
505 | 8 | |a 9.2.1 Theory of Reasoned Action -- 9.2.2 Technology Acceptance Model -- 9.3 Theoretical Framework and Research Hypotheses -- 9.4 Methodology and Research Design -- 9.5 Data Analysis and Results -- 9.5.1 Confirmatory Factor Analysis -- 9.5.2 Structural Equation Modeling -- 9.6 Conclusions, Implications and Limitations -- References -- 10 Bike-Sharing Systems as Integral Components of Inner-City Mobility Concepts: An Analysis of the Intended User Behaviour of Potential and Actual Bike-Sharing Users -- 10.1 Introduction -- 10.2 Research Objectives -- 10.3 Bike‐Sharing Systems -- 10.4 Findings of Related Research -- 10.5 Methodology -- 10.5.1 Survey Design -- 10.5.2 Data Collection -- 10.6 Survey Results -- 10.6.1 Respondent Demographics -- 10.6.2 Preferred Trip Purposes -- 10.7 Discussion -- 10.8 Implications -- 10.9 Limitations -- 10.10 Conclusion -- References -- 11 Trust in Partially Automated Driving Systems for Trucks: A Quantitative Empirical Study -- 11.1 Introduction -- 11.2 Driver Assistance Systems for Trucks -- 11.3 Trust in Driver Assistance Systems -- 11.4 Methodology -- 11.5 Results -- 11.6 Discussion -- 11.7 Conclusion -- References -- 12 Alternative Ways to Promote Sustainable Consumer Behaviour-Identifying Potentials Based on Spiral Dynamics -- 12.1 Introduction -- 12.2 Spiral Dynamics -- 12.2.1 Background -- 12.2.2 An Overview of SD -- 12.3 SD and Sustainable Consumer Behaviour -- 12.4 Limitation -- 12.5 Conclusion and Recommendations -- References -- 13 Less Meat, Less Heat-The Potential of Social Marketing to Reduce Meat Consumption -- 13.1 Introduction -- 13.2 Research Objectives -- 13.3 Research Design -- 13.3.1 Study 1 -- 13.3.2 Study 2 -- 13.4 Discussion -- 13.5 Conclusion -- References -- III Planning and Managing Sustainable Infrastructure | |
505 | 8 | |a 14 What Makes an Inner City Attractive Today and in the Future?-Analysis of Emotional Hotspots Using the City of Stuttgart as an Example -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Study -- 14.3.1 Research Questions and Study Design -- 14.3.2 Sample and Procedure -- 14.4 Results -- 14.5 Recommendations and Limitations -- References -- 15 Creation of a Scoring-Model to Measure the Attractiveness of Middle-Sized City-Centres for Consumers -- 15.1 Introduction -- 15.2 Factors of Attractiveness -- 15.2.1 Method -- 15.2.2 Results -- 15.3 Creation of the Scoring‐Model -- 15.3.1 Survey -- 15.3.2 Method -- 15.4 The Scoring‐Model -- 15.5 Application of the Model -- 15.6 Usage, Limitations, and Potentials -- 15.7 Conclusion -- References -- 16 Transdisciplinary Living Labs in a Next Generation Cities Context-Ecosystems for Sustainable Innovation and Entrepreneurship -- 16.1 Introduction -- 16.2 Transformation through Innovation -- 16.3 Transdisciplinary Living Labs as the Basis for Creative Stakeholder Interaction -- 16.4 Next Generation Cities as Regional Ecosystems for Sustainable Innovation -- 16.5 Universities as "Hubs" of Ecosystems for Sustainable Innovations -- 16.6 Case Studies -- 16.7 Conclusion and Outlook -- References -- 17 Chances for Social Interaction in Public Space Through a Practice of Commoning -- 17.1 Introduction -- 17.1.1 Chances by Urban Commons -- 17.1.2 Study Area Boeckinger Strasse -- 17.2 Method -- 17.2.1 General Context -- 17.2.2 Semi‐Structured Interviews -- 17.3 Results -- 17.3.1 Interviews -- 17.3.2 Experiment -- 17.4 Discussion -- References -- 18 Financing Sustainable Infrastructures in a Smart Cities' Context-Innovative Concepts, Solutions and Instruments -- 18.1 Introduction: The Challenge of Unsustainable Infrastructure for Metropolitan Areas -- 18.2 Smart Sustainable Cities as Ecosystems for Innovation | |
505 | 8 | |a 18.3 Need for Private Investments in Sustainable, Smart City Infrastructure Against the Background of Increasing Global Risks -- 18.4 Sustainable (Private) Finance-Bridging the Funding Gaps? -- 18.5 Applying Sustainable Finance to Smart City Infrastructure Investments: The Business Case for Sustainable Infrastructure -- 18.6 Case Studies: New Approaches to Making Sustainable Urban Infrastructure Finance Happen -- 18.7 (Policy) Recommendations, Conclusion and Outlook -- 19 Building the City's Business Networks: Using Visualisations for Business Ecosystem Governance -- 19.1 Introduction -- 19.2 Theoretical Background -- 19.2.1 Ecosystems, Networks, and Platforms -- 19.2.2 Visualising Business Ecosystems -- 19.3 Insights from Visualising Urban Ecosystems -- 19.4 Using Visualisations for Business Ecosystem Governance -- 19.5 Conclusion -- References -- IV Developing Digital Solutions for the Intelligent City -- 20 Development of an Eco-Routing App to Support Sustainable Mobility Behaviour -- 20.1 Introduction -- 20.1.1 Transport Challenges Facing European Metropolitan Regions -- 20.2 Aim of the Study, State of Research and Methodological Approach -- 20.2.1 Aim of the Study -- 20.2.2 State of Research -- 20.2.3 Methodological Approach -- 20.3 On Changing Mobility Behaviour in Metropolitan Regions -- 20.3.1 Use Scenarios of Eco‐Route Planners in Metropolitan Regions -- 20.3.2 Calculation of Emission Saving Potentials Using the EmiLa‐App -- 20.3.3 Indirect Effects: Increasing Environmental Awareness and Transferring to Environmental Behaviour -- 20.4 Outlook: The Metropolitan Region as a Pioneer for the Future Design of Mobility Systems Thanks to Changed Mobility Behaviour -- References -- 21 Promoting Objective and Subjective Safety for Cyclists in Metropolitan Areas -- 21.1 Introduction -- 21.2 Cycling Safety Application Vision Zero | |
505 | 8 | |a 21.2.1 Development Process | |
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Datensatz im Suchindex
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adam_txt | |
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author | Planing, Patrick |
author_facet | Planing, Patrick |
author_role | aut |
author_sort | Planing, Patrick |
author_variant | p p pp |
building | Verbundindex |
bvnumber | BV048222874 |
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contents | Intro -- Foreword: Mobility-Innovationsin Metropolitan Areas -- Preface -- Table of Contents -- List of Contributors -- 1 Introduction Editors -- 1.5 Conclusion -- 1.4 Developing Digital Solutions for the Intelligent City -- 1.2 Promoting Sustainable Behaviour -- 1.1 Developing Sustainable Mobility & -- Logistics -- 1.3 Planning and Managing Sustainable Infrastructure -- I Developing Sustainable Mobility & -- Logistics -- 2 Social Transport. An Efficient Concept for Freight Transportation -- 2.1 Introduction -- 2.2 Status Quo -- 2.2.1 Terminologies -- 2.2.2 Existing Providers and Ideas -- 2.3 Definition -- 2.4 Co‐Creation Workshop -- 2.4.1 Risks -- 2.4.2 Promoting Factors -- 2.4.3 Hindering Factors -- 2.5 Summary and Outlook -- References -- 3 The Importance of Process Data Collection Techniques for Urban Logistics Planning -- 3.1 Introduction -- 3.2 State of Research -- 3.3 City Logistics Process Data -- 3.3.1 Search for Parking Spot -- 3.3.2 Loading and Unloading of Goods -- 3.4 Methodological Approaches for the Collection of Process Data -- 3.4.1 Accompanied Deliveries -- 3.4.2 GPS Data Collection -- 3.4.3 Logistics Tracker -- 3.5 Conclusion -- References -- 4 Off-Peak Delivery as a Cornerstone for Sustainable Urban Logistics: Insights from Germany -- 4.1 Introduction -- 4.2 Defining OPD -- 4.2.1 OPD: Intended Benefits and Possible Disadvantages -- 4.2.2 OPD Examples and Research -- 4.3 "GeNaLog", a Recent OPD Trial in German with Electric Trucks -- 4.4 Conclusions: GeNaLog and Beyond -- References -- 5 Longer Trucks for Climate-Friendly Transports in Metropolitan Regions -- 5.1 CO2e Savings due to Longer Trucks -- 5.2 Distribution Network of Lidl within Metropolitan Regions -- 5.3 Status Quo of Longer Trucks in the European Union -- 5.4 Methodology and Procedures -- 5.5 Potential Savings for Lidl 5.6 Recommendation for Action for Lidl -- 5.7 Conclusion and Outlook -- References -- 6 Electrified Ultralight Vehicles as a Key Element for Door-to-Door Solutions in Urban Areas -- 6.1 Mobility in Metropolitan Areas and its Impacts -- 6.2 Current Situation and Challenges for New Mobility Concepts in Metropolitan Regions in Europe-A Case Study of E‐Scooters -- 6.3 Objectives and Methodology -- 6.4 Findings and Results -- 6.5 Necessity for Further Research -- References -- II Promoting Sustainable Behavior -- 7 The Intention to Adopt Battery Electric Vehicles in Germany: Driven by Consumer Expectancy, Social Influence, Facilitating Conditions and Ecological Norm Orientation -- 7.1 Introduction -- 7.2 The Technology of Battery Electric Vehicles -- 7.3 Influencing Factors on the Adoption Intention -- 7.4 Integrated UTAUT‐NAM Model and Hypothesis Development -- 7.5 Data Collection and Operationalisation -- 7.6 Data Analysis and Results -- 7.7 Discussion -- 7.8 Practical Implications -- References -- 8 Air Taxis as a Mobility Solution for Cities-Empirical Research on Customer Acceptance of Urban Air Mobility -- 8.1 Introduction -- 8.2 Urban Air Mobility -- 8.3 Methodology -- 8.4 Results -- 8.4.1 Results: Noise -- 8.4.2 Results: Need for safety -- 8.4.3 Results: Safety for air taxis with pilots -- 8.4.4 Results: Safety of autonomous air taxis -- 8.4.5 Results: Need for individual mobility -- 8.4.6 Results: Price sensitivity -- 8.4.7 Results: Manufacturer -- 8.4.8 Results: Performance expectation -- 8.4.9 Results: Age and gender -- 8.4.10 Further influencing aspects derived in this study -- 8.5 Discussion -- 8.6 Conclusion -- 9 An Integrated Model of the Theory of Reasoned Action and Technology Acceptance Model to Predict the Consumers' Intentions to Adopt Electric Carsharing in Taiwan -- 9.1 Introduction -- 9.2 Literature Review 9.2.1 Theory of Reasoned Action -- 9.2.2 Technology Acceptance Model -- 9.3 Theoretical Framework and Research Hypotheses -- 9.4 Methodology and Research Design -- 9.5 Data Analysis and Results -- 9.5.1 Confirmatory Factor Analysis -- 9.5.2 Structural Equation Modeling -- 9.6 Conclusions, Implications and Limitations -- References -- 10 Bike-Sharing Systems as Integral Components of Inner-City Mobility Concepts: An Analysis of the Intended User Behaviour of Potential and Actual Bike-Sharing Users -- 10.1 Introduction -- 10.2 Research Objectives -- 10.3 Bike‐Sharing Systems -- 10.4 Findings of Related Research -- 10.5 Methodology -- 10.5.1 Survey Design -- 10.5.2 Data Collection -- 10.6 Survey Results -- 10.6.1 Respondent Demographics -- 10.6.2 Preferred Trip Purposes -- 10.7 Discussion -- 10.8 Implications -- 10.9 Limitations -- 10.10 Conclusion -- References -- 11 Trust in Partially Automated Driving Systems for Trucks: A Quantitative Empirical Study -- 11.1 Introduction -- 11.2 Driver Assistance Systems for Trucks -- 11.3 Trust in Driver Assistance Systems -- 11.4 Methodology -- 11.5 Results -- 11.6 Discussion -- 11.7 Conclusion -- References -- 12 Alternative Ways to Promote Sustainable Consumer Behaviour-Identifying Potentials Based on Spiral Dynamics -- 12.1 Introduction -- 12.2 Spiral Dynamics -- 12.2.1 Background -- 12.2.2 An Overview of SD -- 12.3 SD and Sustainable Consumer Behaviour -- 12.4 Limitation -- 12.5 Conclusion and Recommendations -- References -- 13 Less Meat, Less Heat-The Potential of Social Marketing to Reduce Meat Consumption -- 13.1 Introduction -- 13.2 Research Objectives -- 13.3 Research Design -- 13.3.1 Study 1 -- 13.3.2 Study 2 -- 13.4 Discussion -- 13.5 Conclusion -- References -- III Planning and Managing Sustainable Infrastructure 14 What Makes an Inner City Attractive Today and in the Future?-Analysis of Emotional Hotspots Using the City of Stuttgart as an Example -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Study -- 14.3.1 Research Questions and Study Design -- 14.3.2 Sample and Procedure -- 14.4 Results -- 14.5 Recommendations and Limitations -- References -- 15 Creation of a Scoring-Model to Measure the Attractiveness of Middle-Sized City-Centres for Consumers -- 15.1 Introduction -- 15.2 Factors of Attractiveness -- 15.2.1 Method -- 15.2.2 Results -- 15.3 Creation of the Scoring‐Model -- 15.3.1 Survey -- 15.3.2 Method -- 15.4 The Scoring‐Model -- 15.5 Application of the Model -- 15.6 Usage, Limitations, and Potentials -- 15.7 Conclusion -- References -- 16 Transdisciplinary Living Labs in a Next Generation Cities Context-Ecosystems for Sustainable Innovation and Entrepreneurship -- 16.1 Introduction -- 16.2 Transformation through Innovation -- 16.3 Transdisciplinary Living Labs as the Basis for Creative Stakeholder Interaction -- 16.4 Next Generation Cities as Regional Ecosystems for Sustainable Innovation -- 16.5 Universities as "Hubs" of Ecosystems for Sustainable Innovations -- 16.6 Case Studies -- 16.7 Conclusion and Outlook -- References -- 17 Chances for Social Interaction in Public Space Through a Practice of Commoning -- 17.1 Introduction -- 17.1.1 Chances by Urban Commons -- 17.1.2 Study Area Boeckinger Strasse -- 17.2 Method -- 17.2.1 General Context -- 17.2.2 Semi‐Structured Interviews -- 17.3 Results -- 17.3.1 Interviews -- 17.3.2 Experiment -- 17.4 Discussion -- References -- 18 Financing Sustainable Infrastructures in a Smart Cities' Context-Innovative Concepts, Solutions and Instruments -- 18.1 Introduction: The Challenge of Unsustainable Infrastructure for Metropolitan Areas -- 18.2 Smart Sustainable Cities as Ecosystems for Innovation 18.3 Need for Private Investments in Sustainable, Smart City Infrastructure Against the Background of Increasing Global Risks -- 18.4 Sustainable (Private) Finance-Bridging the Funding Gaps? -- 18.5 Applying Sustainable Finance to Smart City Infrastructure Investments: The Business Case for Sustainable Infrastructure -- 18.6 Case Studies: New Approaches to Making Sustainable Urban Infrastructure Finance Happen -- 18.7 (Policy) Recommendations, Conclusion and Outlook -- 19 Building the City's Business Networks: Using Visualisations for Business Ecosystem Governance -- 19.1 Introduction -- 19.2 Theoretical Background -- 19.2.1 Ecosystems, Networks, and Platforms -- 19.2.2 Visualising Business Ecosystems -- 19.3 Insights from Visualising Urban Ecosystems -- 19.4 Using Visualisations for Business Ecosystem Governance -- 19.5 Conclusion -- References -- IV Developing Digital Solutions for the Intelligent City -- 20 Development of an Eco-Routing App to Support Sustainable Mobility Behaviour -- 20.1 Introduction -- 20.1.1 Transport Challenges Facing European Metropolitan Regions -- 20.2 Aim of the Study, State of Research and Methodological Approach -- 20.2.1 Aim of the Study -- 20.2.2 State of Research -- 20.2.3 Methodological Approach -- 20.3 On Changing Mobility Behaviour in Metropolitan Regions -- 20.3.1 Use Scenarios of Eco‐Route Planners in Metropolitan Regions -- 20.3.2 Calculation of Emission Saving Potentials Using the EmiLa‐App -- 20.3.3 Indirect Effects: Increasing Environmental Awareness and Transferring to Environmental Behaviour -- 20.4 Outlook: The Metropolitan Region as a Pioneer for the Future Design of Mobility Systems Thanks to Changed Mobility Behaviour -- References -- 21 Promoting Objective and Subjective Safety for Cyclists in Metropolitan Areas -- 21.1 Introduction -- 21.2 Cycling Safety Application Vision Zero 21.2.1 Development Process |
ctrlnum | (ZDB-30-PQE)EBC6229449 (ZDB-30-PAD)EBC6229449 (ZDB-89-EBL)EBL6229449 (OCoLC)1159174678 (DE-599)BVBBV048222874 |
dewey-full | 388.4 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 388 - Transportation |
dewey-raw | 388.4 |
dewey-search | 388.4 |
dewey-sort | 3388.4 |
dewey-tens | 380 - Commerce, communications, transportation |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
format | Electronic eBook |
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An Efficient Concept for Freight Transportation -- 2.1 Introduction -- 2.2 Status Quo -- 2.2.1 Terminologies -- 2.2.2 Existing Providers and Ideas -- 2.3 Definition -- 2.4 Co‐Creation Workshop -- 2.4.1 Risks -- 2.4.2 Promoting Factors -- 2.4.3 Hindering Factors -- 2.5 Summary and Outlook -- References -- 3 The Importance of Process Data Collection Techniques for Urban Logistics Planning -- 3.1 Introduction -- 3.2 State of Research -- 3.3 City Logistics Process Data -- 3.3.1 Search for Parking Spot -- 3.3.2 Loading and Unloading of Goods -- 3.4 Methodological Approaches for the Collection of Process Data -- 3.4.1 Accompanied Deliveries -- 3.4.2 GPS Data Collection -- 3.4.3 Logistics Tracker -- 3.5 Conclusion -- References -- 4 Off-Peak Delivery as a Cornerstone for Sustainable Urban Logistics: Insights from Germany -- 4.1 Introduction -- 4.2 Defining OPD -- 4.2.1 OPD: Intended Benefits and Possible Disadvantages -- 4.2.2 OPD Examples and Research -- 4.3 "GeNaLog", a Recent OPD Trial in German with Electric Trucks -- 4.4 Conclusions: GeNaLog and Beyond -- References -- 5 Longer Trucks for Climate-Friendly Transports in Metropolitan Regions -- 5.1 CO2e Savings due to Longer Trucks -- 5.2 Distribution Network of Lidl within Metropolitan Regions -- 5.3 Status Quo of Longer Trucks in the European Union -- 5.4 Methodology and Procedures -- 5.5 Potential Savings for Lidl</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">5.6 Recommendation for Action for Lidl -- 5.7 Conclusion and Outlook -- References -- 6 Electrified Ultralight Vehicles as a Key Element for Door-to-Door Solutions in Urban Areas -- 6.1 Mobility in Metropolitan Areas and its Impacts -- 6.2 Current Situation and Challenges for New Mobility Concepts in Metropolitan Regions in Europe-A Case Study of E‐Scooters -- 6.3 Objectives and Methodology -- 6.4 Findings and Results -- 6.5 Necessity for Further Research -- References -- II Promoting Sustainable Behavior -- 7 The Intention to Adopt Battery Electric Vehicles in Germany: Driven by Consumer Expectancy, Social Influence, Facilitating Conditions and Ecological Norm Orientation -- 7.1 Introduction -- 7.2 The Technology of Battery Electric Vehicles -- 7.3 Influencing Factors on the Adoption Intention -- 7.4 Integrated UTAUT‐NAM Model and Hypothesis Development -- 7.5 Data Collection and Operationalisation -- 7.6 Data Analysis and Results -- 7.7 Discussion -- 7.8 Practical Implications -- References -- 8 Air Taxis as a Mobility Solution for Cities-Empirical Research on Customer Acceptance of Urban Air Mobility -- 8.1 Introduction -- 8.2 Urban Air Mobility -- 8.3 Methodology -- 8.4 Results -- 8.4.1 Results: Noise -- 8.4.2 Results: Need for safety -- 8.4.3 Results: Safety for air taxis with pilots -- 8.4.4 Results: Safety of autonomous air taxis -- 8.4.5 Results: Need for individual mobility -- 8.4.6 Results: Price sensitivity -- 8.4.7 Results: Manufacturer -- 8.4.8 Results: Performance expectation -- 8.4.9 Results: Age and gender -- 8.4.10 Further influencing aspects derived in this study -- 8.5 Discussion -- 8.6 Conclusion -- 9 An Integrated Model of the Theory of Reasoned Action and Technology Acceptance Model to Predict the Consumers' Intentions to Adopt Electric Carsharing in Taiwan -- 9.1 Introduction -- 9.2 Literature Review</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">9.2.1 Theory of Reasoned Action -- 9.2.2 Technology Acceptance Model -- 9.3 Theoretical Framework and Research Hypotheses -- 9.4 Methodology and Research Design -- 9.5 Data Analysis and Results -- 9.5.1 Confirmatory Factor Analysis -- 9.5.2 Structural Equation Modeling -- 9.6 Conclusions, Implications and Limitations -- References -- 10 Bike-Sharing Systems as Integral Components of Inner-City Mobility Concepts: An Analysis of the Intended User Behaviour of Potential and Actual Bike-Sharing Users -- 10.1 Introduction -- 10.2 Research Objectives -- 10.3 Bike‐Sharing Systems -- 10.4 Findings of Related Research -- 10.5 Methodology -- 10.5.1 Survey Design -- 10.5.2 Data Collection -- 10.6 Survey Results -- 10.6.1 Respondent Demographics -- 10.6.2 Preferred Trip Purposes -- 10.7 Discussion -- 10.8 Implications -- 10.9 Limitations -- 10.10 Conclusion -- References -- 11 Trust in Partially Automated Driving Systems for Trucks: A Quantitative Empirical Study -- 11.1 Introduction -- 11.2 Driver Assistance Systems for Trucks -- 11.3 Trust in Driver Assistance Systems -- 11.4 Methodology -- 11.5 Results -- 11.6 Discussion -- 11.7 Conclusion -- References -- 12 Alternative Ways to Promote Sustainable Consumer Behaviour-Identifying Potentials Based on Spiral Dynamics -- 12.1 Introduction -- 12.2 Spiral Dynamics -- 12.2.1 Background -- 12.2.2 An Overview of SD -- 12.3 SD and Sustainable Consumer Behaviour -- 12.4 Limitation -- 12.5 Conclusion and Recommendations -- References -- 13 Less Meat, Less Heat-The Potential of Social Marketing to Reduce Meat Consumption -- 13.1 Introduction -- 13.2 Research Objectives -- 13.3 Research Design -- 13.3.1 Study 1 -- 13.3.2 Study 2 -- 13.4 Discussion -- 13.5 Conclusion -- References -- III Planning and Managing Sustainable Infrastructure</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">14 What Makes an Inner City Attractive Today and in the Future?-Analysis of Emotional Hotspots Using the City of Stuttgart as an Example -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Study -- 14.3.1 Research Questions and Study Design -- 14.3.2 Sample and Procedure -- 14.4 Results -- 14.5 Recommendations and Limitations -- References -- 15 Creation of a Scoring-Model to Measure the Attractiveness of Middle-Sized City-Centres for Consumers -- 15.1 Introduction -- 15.2 Factors of Attractiveness -- 15.2.1 Method -- 15.2.2 Results -- 15.3 Creation of the Scoring‐Model -- 15.3.1 Survey -- 15.3.2 Method -- 15.4 The Scoring‐Model -- 15.5 Application of the Model -- 15.6 Usage, Limitations, and Potentials -- 15.7 Conclusion -- References -- 16 Transdisciplinary Living Labs in a Next Generation Cities Context-Ecosystems for Sustainable Innovation and Entrepreneurship -- 16.1 Introduction -- 16.2 Transformation through Innovation -- 16.3 Transdisciplinary Living Labs as the Basis for Creative Stakeholder Interaction -- 16.4 Next Generation Cities as Regional Ecosystems for Sustainable Innovation -- 16.5 Universities as "Hubs" of Ecosystems for Sustainable Innovations -- 16.6 Case Studies -- 16.7 Conclusion and Outlook -- References -- 17 Chances for Social Interaction in Public Space Through a Practice of Commoning -- 17.1 Introduction -- 17.1.1 Chances by Urban Commons -- 17.1.2 Study Area Boeckinger Strasse -- 17.2 Method -- 17.2.1 General Context -- 17.2.2 Semi‐Structured Interviews -- 17.3 Results -- 17.3.1 Interviews -- 17.3.2 Experiment -- 17.4 Discussion -- References -- 18 Financing Sustainable Infrastructures in a Smart Cities' Context-Innovative Concepts, Solutions and Instruments -- 18.1 Introduction: The Challenge of Unsustainable Infrastructure for Metropolitan Areas -- 18.2 Smart Sustainable Cities as Ecosystems for Innovation</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">18.3 Need for Private Investments in Sustainable, Smart City Infrastructure Against the Background of Increasing Global Risks -- 18.4 Sustainable (Private) Finance-Bridging the Funding Gaps? -- 18.5 Applying Sustainable Finance to Smart City Infrastructure Investments: The Business Case for Sustainable Infrastructure -- 18.6 Case Studies: New Approaches to Making Sustainable Urban Infrastructure Finance Happen -- 18.7 (Policy) Recommendations, Conclusion and Outlook -- 19 Building the City's Business Networks: Using Visualisations for Business Ecosystem Governance -- 19.1 Introduction -- 19.2 Theoretical Background -- 19.2.1 Ecosystems, Networks, and Platforms -- 19.2.2 Visualising Business Ecosystems -- 19.3 Insights from Visualising Urban Ecosystems -- 19.4 Using Visualisations for Business Ecosystem Governance -- 19.5 Conclusion -- References -- IV Developing Digital Solutions for the Intelligent City -- 20 Development of an Eco-Routing App to Support Sustainable Mobility Behaviour -- 20.1 Introduction -- 20.1.1 Transport Challenges Facing European Metropolitan Regions -- 20.2 Aim of the Study, State of Research and Methodological Approach -- 20.2.1 Aim of the Study -- 20.2.2 State of Research -- 20.2.3 Methodological Approach -- 20.3 On Changing Mobility Behaviour in Metropolitan Regions -- 20.3.1 Use Scenarios of Eco‐Route Planners in Metropolitan Regions -- 20.3.2 Calculation of Emission Saving Potentials Using the EmiLa‐App -- 20.3.3 Indirect Effects: Increasing Environmental Awareness and Transferring to Environmental Behaviour -- 20.4 Outlook: The Metropolitan Region as a Pioneer for the Future Design of Mobility Systems Thanks to Changed Mobility Behaviour -- References -- 21 Promoting Objective and Subjective Safety for Cyclists 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genre_facet | Aufsatzsammlung |
geographic | Deutschland (DE-588)4011882-4 gnd |
geographic_facet | Deutschland |
id | DE-604.BV048222874 |
illustrated | Not Illustrated |
index_date | 2024-07-03T19:50:37Z |
indexdate | 2024-11-11T11:02:18Z |
institution | BVB |
isbn | 9783662608067 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033603607 |
oclc_num | 1159174678 |
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owner | DE-2070s |
owner_facet | DE-2070s |
physical | 1 Online-Ressource (296 pages) |
psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Springer Berlin / Heidelberg |
record_format | marc |
spelling | Planing, Patrick Verfasser aut Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens Berlin, Heidelberg Springer Berlin / Heidelberg 2020 ©2020 1 Online-Ressource (296 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Intro -- Foreword: Mobility-Innovationsin Metropolitan Areas -- Preface -- Table of Contents -- List of Contributors -- 1 Introduction Editors -- 1.5 Conclusion -- 1.4 Developing Digital Solutions for the Intelligent City -- 1.2 Promoting Sustainable Behaviour -- 1.1 Developing Sustainable Mobility & -- Logistics -- 1.3 Planning and Managing Sustainable Infrastructure -- I Developing Sustainable Mobility & -- Logistics -- 2 Social Transport. An Efficient Concept for Freight Transportation -- 2.1 Introduction -- 2.2 Status Quo -- 2.2.1 Terminologies -- 2.2.2 Existing Providers and Ideas -- 2.3 Definition -- 2.4 Co‐Creation Workshop -- 2.4.1 Risks -- 2.4.2 Promoting Factors -- 2.4.3 Hindering Factors -- 2.5 Summary and Outlook -- References -- 3 The Importance of Process Data Collection Techniques for Urban Logistics Planning -- 3.1 Introduction -- 3.2 State of Research -- 3.3 City Logistics Process Data -- 3.3.1 Search for Parking Spot -- 3.3.2 Loading and Unloading of Goods -- 3.4 Methodological Approaches for the Collection of Process Data -- 3.4.1 Accompanied Deliveries -- 3.4.2 GPS Data Collection -- 3.4.3 Logistics Tracker -- 3.5 Conclusion -- References -- 4 Off-Peak Delivery as a Cornerstone for Sustainable Urban Logistics: Insights from Germany -- 4.1 Introduction -- 4.2 Defining OPD -- 4.2.1 OPD: Intended Benefits and Possible Disadvantages -- 4.2.2 OPD Examples and Research -- 4.3 "GeNaLog", a Recent OPD Trial in German with Electric Trucks -- 4.4 Conclusions: GeNaLog and Beyond -- References -- 5 Longer Trucks for Climate-Friendly Transports in Metropolitan Regions -- 5.1 CO2e Savings due to Longer Trucks -- 5.2 Distribution Network of Lidl within Metropolitan Regions -- 5.3 Status Quo of Longer Trucks in the European Union -- 5.4 Methodology and Procedures -- 5.5 Potential Savings for Lidl 5.6 Recommendation for Action for Lidl -- 5.7 Conclusion and Outlook -- References -- 6 Electrified Ultralight Vehicles as a Key Element for Door-to-Door Solutions in Urban Areas -- 6.1 Mobility in Metropolitan Areas and its Impacts -- 6.2 Current Situation and Challenges for New Mobility Concepts in Metropolitan Regions in Europe-A Case Study of E‐Scooters -- 6.3 Objectives and Methodology -- 6.4 Findings and Results -- 6.5 Necessity for Further Research -- References -- II Promoting Sustainable Behavior -- 7 The Intention to Adopt Battery Electric Vehicles in Germany: Driven by Consumer Expectancy, Social Influence, Facilitating Conditions and Ecological Norm Orientation -- 7.1 Introduction -- 7.2 The Technology of Battery Electric Vehicles -- 7.3 Influencing Factors on the Adoption Intention -- 7.4 Integrated UTAUT‐NAM Model and Hypothesis Development -- 7.5 Data Collection and Operationalisation -- 7.6 Data Analysis and Results -- 7.7 Discussion -- 7.8 Practical Implications -- References -- 8 Air Taxis as a Mobility Solution for Cities-Empirical Research on Customer Acceptance of Urban Air Mobility -- 8.1 Introduction -- 8.2 Urban Air Mobility -- 8.3 Methodology -- 8.4 Results -- 8.4.1 Results: Noise -- 8.4.2 Results: Need for safety -- 8.4.3 Results: Safety for air taxis with pilots -- 8.4.4 Results: Safety of autonomous air taxis -- 8.4.5 Results: Need for individual mobility -- 8.4.6 Results: Price sensitivity -- 8.4.7 Results: Manufacturer -- 8.4.8 Results: Performance expectation -- 8.4.9 Results: Age and gender -- 8.4.10 Further influencing aspects derived in this study -- 8.5 Discussion -- 8.6 Conclusion -- 9 An Integrated Model of the Theory of Reasoned Action and Technology Acceptance Model to Predict the Consumers' Intentions to Adopt Electric Carsharing in Taiwan -- 9.1 Introduction -- 9.2 Literature Review 9.2.1 Theory of Reasoned Action -- 9.2.2 Technology Acceptance Model -- 9.3 Theoretical Framework and Research Hypotheses -- 9.4 Methodology and Research Design -- 9.5 Data Analysis and Results -- 9.5.1 Confirmatory Factor Analysis -- 9.5.2 Structural Equation Modeling -- 9.6 Conclusions, Implications and Limitations -- References -- 10 Bike-Sharing Systems as Integral Components of Inner-City Mobility Concepts: An Analysis of the Intended User Behaviour of Potential and Actual Bike-Sharing Users -- 10.1 Introduction -- 10.2 Research Objectives -- 10.3 Bike‐Sharing Systems -- 10.4 Findings of Related Research -- 10.5 Methodology -- 10.5.1 Survey Design -- 10.5.2 Data Collection -- 10.6 Survey Results -- 10.6.1 Respondent Demographics -- 10.6.2 Preferred Trip Purposes -- 10.7 Discussion -- 10.8 Implications -- 10.9 Limitations -- 10.10 Conclusion -- References -- 11 Trust in Partially Automated Driving Systems for Trucks: A Quantitative Empirical Study -- 11.1 Introduction -- 11.2 Driver Assistance Systems for Trucks -- 11.3 Trust in Driver Assistance Systems -- 11.4 Methodology -- 11.5 Results -- 11.6 Discussion -- 11.7 Conclusion -- References -- 12 Alternative Ways to Promote Sustainable Consumer Behaviour-Identifying Potentials Based on Spiral Dynamics -- 12.1 Introduction -- 12.2 Spiral Dynamics -- 12.2.1 Background -- 12.2.2 An Overview of SD -- 12.3 SD and Sustainable Consumer Behaviour -- 12.4 Limitation -- 12.5 Conclusion and Recommendations -- References -- 13 Less Meat, Less Heat-The Potential of Social Marketing to Reduce Meat Consumption -- 13.1 Introduction -- 13.2 Research Objectives -- 13.3 Research Design -- 13.3.1 Study 1 -- 13.3.2 Study 2 -- 13.4 Discussion -- 13.5 Conclusion -- References -- III Planning and Managing Sustainable Infrastructure 14 What Makes an Inner City Attractive Today and in the Future?-Analysis of Emotional Hotspots Using the City of Stuttgart as an Example -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Study -- 14.3.1 Research Questions and Study Design -- 14.3.2 Sample and Procedure -- 14.4 Results -- 14.5 Recommendations and Limitations -- References -- 15 Creation of a Scoring-Model to Measure the Attractiveness of Middle-Sized City-Centres for Consumers -- 15.1 Introduction -- 15.2 Factors of Attractiveness -- 15.2.1 Method -- 15.2.2 Results -- 15.3 Creation of the Scoring‐Model -- 15.3.1 Survey -- 15.3.2 Method -- 15.4 The Scoring‐Model -- 15.5 Application of the Model -- 15.6 Usage, Limitations, and Potentials -- 15.7 Conclusion -- References -- 16 Transdisciplinary Living Labs in a Next Generation Cities Context-Ecosystems for Sustainable Innovation and Entrepreneurship -- 16.1 Introduction -- 16.2 Transformation through Innovation -- 16.3 Transdisciplinary Living Labs as the Basis for Creative Stakeholder Interaction -- 16.4 Next Generation Cities as Regional Ecosystems for Sustainable Innovation -- 16.5 Universities as "Hubs" of Ecosystems for Sustainable Innovations -- 16.6 Case Studies -- 16.7 Conclusion and Outlook -- References -- 17 Chances for Social Interaction in Public Space Through a Practice of Commoning -- 17.1 Introduction -- 17.1.1 Chances by Urban Commons -- 17.1.2 Study Area Boeckinger Strasse -- 17.2 Method -- 17.2.1 General Context -- 17.2.2 Semi‐Structured Interviews -- 17.3 Results -- 17.3.1 Interviews -- 17.3.2 Experiment -- 17.4 Discussion -- References -- 18 Financing Sustainable Infrastructures in a Smart Cities' Context-Innovative Concepts, Solutions and Instruments -- 18.1 Introduction: The Challenge of Unsustainable Infrastructure for Metropolitan Areas -- 18.2 Smart Sustainable Cities as Ecosystems for Innovation 18.3 Need for Private Investments in Sustainable, Smart City Infrastructure Against the Background of Increasing Global Risks -- 18.4 Sustainable (Private) Finance-Bridging the Funding Gaps? -- 18.5 Applying Sustainable Finance to Smart City Infrastructure Investments: The Business Case for Sustainable Infrastructure -- 18.6 Case Studies: New Approaches to Making Sustainable Urban Infrastructure Finance Happen -- 18.7 (Policy) Recommendations, Conclusion and Outlook -- 19 Building the City's Business Networks: Using Visualisations for Business Ecosystem Governance -- 19.1 Introduction -- 19.2 Theoretical Background -- 19.2.1 Ecosystems, Networks, and Platforms -- 19.2.2 Visualising Business Ecosystems -- 19.3 Insights from Visualising Urban Ecosystems -- 19.4 Using Visualisations for Business Ecosystem Governance -- 19.5 Conclusion -- References -- IV Developing Digital Solutions for the Intelligent City -- 20 Development of an Eco-Routing App to Support Sustainable Mobility Behaviour -- 20.1 Introduction -- 20.1.1 Transport Challenges Facing European Metropolitan Regions -- 20.2 Aim of the Study, State of Research and Methodological Approach -- 20.2.1 Aim of the Study -- 20.2.2 State of Research -- 20.2.3 Methodological Approach -- 20.3 On Changing Mobility Behaviour in Metropolitan Regions -- 20.3.1 Use Scenarios of Eco‐Route Planners in Metropolitan Regions -- 20.3.2 Calculation of Emission Saving Potentials Using the EmiLa‐App -- 20.3.3 Indirect Effects: Increasing Environmental Awareness and Transferring to Environmental Behaviour -- 20.4 Outlook: The Metropolitan Region as a Pioneer for the Future Design of Mobility Systems Thanks to Changed Mobility Behaviour -- References -- 21 Promoting Objective and Subjective Safety for Cyclists in Metropolitan Areas -- 21.1 Introduction -- 21.2 Cycling Safety Application Vision Zero 21.2.1 Development Process Urban transportation Ballungsraum (DE-588)4069106-8 gnd rswk-swf Verkehrspolitik (DE-588)4062955-7 gnd rswk-swf Infrastruktur (DE-588)4026944-9 gnd rswk-swf Smart City (DE-588)1061057097 gnd rswk-swf Verkehrsplanung (DE-588)4062954-5 gnd rswk-swf Stadtverkehr (DE-588)4056783-7 gnd rswk-swf Stadtplanung (DE-588)4056754-0 gnd rswk-swf Stadtentwicklung (DE-588)4056730-8 gnd rswk-swf Infrastrukturplanung (DE-588)4161709-5 gnd rswk-swf Bevölkerungswachstum (DE-588)4129300-9 gnd rswk-swf Metropolregion (DE-588)7532090-3 gnd rswk-swf Nachhaltigkeit (DE-588)4326464-5 gnd rswk-swf Deutschland (DE-588)4011882-4 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Metropolregion (DE-588)7532090-3 s Ballungsraum (DE-588)4069106-8 s Stadtentwicklung (DE-588)4056730-8 s Bevölkerungswachstum (DE-588)4129300-9 s Infrastrukturplanung (DE-588)4161709-5 s Verkehrspolitik (DE-588)4062955-7 s Nachhaltigkeit (DE-588)4326464-5 s Smart City (DE-588)1061057097 s DE-604 Stadtplanung (DE-588)4056754-0 s Stadtverkehr (DE-588)4056783-7 s Infrastruktur (DE-588)4026944-9 s Deutschland (DE-588)4011882-4 g Verkehrsplanung (DE-588)4062954-5 s Müller, Patrick Sonstige oth Dehdari, Payam Sonstige oth Bäumer, Thomas Sonstige oth Erscheint auch als Druck-Ausgabe Planing, Patrick Innovations for Metropolitan Areas Berlin, Heidelberg : Springer Berlin / Heidelberg,c2020 9783662608050 |
spellingShingle | Planing, Patrick Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens Intro -- Foreword: Mobility-Innovationsin Metropolitan Areas -- Preface -- Table of Contents -- List of Contributors -- 1 Introduction Editors -- 1.5 Conclusion -- 1.4 Developing Digital Solutions for the Intelligent City -- 1.2 Promoting Sustainable Behaviour -- 1.1 Developing Sustainable Mobility & -- Logistics -- 1.3 Planning and Managing Sustainable Infrastructure -- I Developing Sustainable Mobility & -- Logistics -- 2 Social Transport. An Efficient Concept for Freight Transportation -- 2.1 Introduction -- 2.2 Status Quo -- 2.2.1 Terminologies -- 2.2.2 Existing Providers and Ideas -- 2.3 Definition -- 2.4 Co‐Creation Workshop -- 2.4.1 Risks -- 2.4.2 Promoting Factors -- 2.4.3 Hindering Factors -- 2.5 Summary and Outlook -- References -- 3 The Importance of Process Data Collection Techniques for Urban Logistics Planning -- 3.1 Introduction -- 3.2 State of Research -- 3.3 City Logistics Process Data -- 3.3.1 Search for Parking Spot -- 3.3.2 Loading and Unloading of Goods -- 3.4 Methodological Approaches for the Collection of Process Data -- 3.4.1 Accompanied Deliveries -- 3.4.2 GPS Data Collection -- 3.4.3 Logistics Tracker -- 3.5 Conclusion -- References -- 4 Off-Peak Delivery as a Cornerstone for Sustainable Urban Logistics: Insights from Germany -- 4.1 Introduction -- 4.2 Defining OPD -- 4.2.1 OPD: Intended Benefits and Possible Disadvantages -- 4.2.2 OPD Examples and Research -- 4.3 "GeNaLog", a Recent OPD Trial in German with Electric Trucks -- 4.4 Conclusions: GeNaLog and Beyond -- References -- 5 Longer Trucks for Climate-Friendly Transports in Metropolitan Regions -- 5.1 CO2e Savings due to Longer Trucks -- 5.2 Distribution Network of Lidl within Metropolitan Regions -- 5.3 Status Quo of Longer Trucks in the European Union -- 5.4 Methodology and Procedures -- 5.5 Potential Savings for Lidl 5.6 Recommendation for Action for Lidl -- 5.7 Conclusion and Outlook -- References -- 6 Electrified Ultralight Vehicles as a Key Element for Door-to-Door Solutions in Urban Areas -- 6.1 Mobility in Metropolitan Areas and its Impacts -- 6.2 Current Situation and Challenges for New Mobility Concepts in Metropolitan Regions in Europe-A Case Study of E‐Scooters -- 6.3 Objectives and Methodology -- 6.4 Findings and Results -- 6.5 Necessity for Further Research -- References -- II Promoting Sustainable Behavior -- 7 The Intention to Adopt Battery Electric Vehicles in Germany: Driven by Consumer Expectancy, Social Influence, Facilitating Conditions and Ecological Norm Orientation -- 7.1 Introduction -- 7.2 The Technology of Battery Electric Vehicles -- 7.3 Influencing Factors on the Adoption Intention -- 7.4 Integrated UTAUT‐NAM Model and Hypothesis Development -- 7.5 Data Collection and Operationalisation -- 7.6 Data Analysis and Results -- 7.7 Discussion -- 7.8 Practical Implications -- References -- 8 Air Taxis as a Mobility Solution for Cities-Empirical Research on Customer Acceptance of Urban Air Mobility -- 8.1 Introduction -- 8.2 Urban Air Mobility -- 8.3 Methodology -- 8.4 Results -- 8.4.1 Results: Noise -- 8.4.2 Results: Need for safety -- 8.4.3 Results: Safety for air taxis with pilots -- 8.4.4 Results: Safety of autonomous air taxis -- 8.4.5 Results: Need for individual mobility -- 8.4.6 Results: Price sensitivity -- 8.4.7 Results: Manufacturer -- 8.4.8 Results: Performance expectation -- 8.4.9 Results: Age and gender -- 8.4.10 Further influencing aspects derived in this study -- 8.5 Discussion -- 8.6 Conclusion -- 9 An Integrated Model of the Theory of Reasoned Action and Technology Acceptance Model to Predict the Consumers' Intentions to Adopt Electric Carsharing in Taiwan -- 9.1 Introduction -- 9.2 Literature Review 9.2.1 Theory of Reasoned Action -- 9.2.2 Technology Acceptance Model -- 9.3 Theoretical Framework and Research Hypotheses -- 9.4 Methodology and Research Design -- 9.5 Data Analysis and Results -- 9.5.1 Confirmatory Factor Analysis -- 9.5.2 Structural Equation Modeling -- 9.6 Conclusions, Implications and Limitations -- References -- 10 Bike-Sharing Systems as Integral Components of Inner-City Mobility Concepts: An Analysis of the Intended User Behaviour of Potential and Actual Bike-Sharing Users -- 10.1 Introduction -- 10.2 Research Objectives -- 10.3 Bike‐Sharing Systems -- 10.4 Findings of Related Research -- 10.5 Methodology -- 10.5.1 Survey Design -- 10.5.2 Data Collection -- 10.6 Survey Results -- 10.6.1 Respondent Demographics -- 10.6.2 Preferred Trip Purposes -- 10.7 Discussion -- 10.8 Implications -- 10.9 Limitations -- 10.10 Conclusion -- References -- 11 Trust in Partially Automated Driving Systems for Trucks: A Quantitative Empirical Study -- 11.1 Introduction -- 11.2 Driver Assistance Systems for Trucks -- 11.3 Trust in Driver Assistance Systems -- 11.4 Methodology -- 11.5 Results -- 11.6 Discussion -- 11.7 Conclusion -- References -- 12 Alternative Ways to Promote Sustainable Consumer Behaviour-Identifying Potentials Based on Spiral Dynamics -- 12.1 Introduction -- 12.2 Spiral Dynamics -- 12.2.1 Background -- 12.2.2 An Overview of SD -- 12.3 SD and Sustainable Consumer Behaviour -- 12.4 Limitation -- 12.5 Conclusion and Recommendations -- References -- 13 Less Meat, Less Heat-The Potential of Social Marketing to Reduce Meat Consumption -- 13.1 Introduction -- 13.2 Research Objectives -- 13.3 Research Design -- 13.3.1 Study 1 -- 13.3.2 Study 2 -- 13.4 Discussion -- 13.5 Conclusion -- References -- III Planning and Managing Sustainable Infrastructure 14 What Makes an Inner City Attractive Today and in the Future?-Analysis of Emotional Hotspots Using the City of Stuttgart as an Example -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Study -- 14.3.1 Research Questions and Study Design -- 14.3.2 Sample and Procedure -- 14.4 Results -- 14.5 Recommendations and Limitations -- References -- 15 Creation of a Scoring-Model to Measure the Attractiveness of Middle-Sized City-Centres for Consumers -- 15.1 Introduction -- 15.2 Factors of Attractiveness -- 15.2.1 Method -- 15.2.2 Results -- 15.3 Creation of the Scoring‐Model -- 15.3.1 Survey -- 15.3.2 Method -- 15.4 The Scoring‐Model -- 15.5 Application of the Model -- 15.6 Usage, Limitations, and Potentials -- 15.7 Conclusion -- References -- 16 Transdisciplinary Living Labs in a Next Generation Cities Context-Ecosystems for Sustainable Innovation and Entrepreneurship -- 16.1 Introduction -- 16.2 Transformation through Innovation -- 16.3 Transdisciplinary Living Labs as the Basis for Creative Stakeholder Interaction -- 16.4 Next Generation Cities as Regional Ecosystems for Sustainable Innovation -- 16.5 Universities as "Hubs" of Ecosystems for Sustainable Innovations -- 16.6 Case Studies -- 16.7 Conclusion and Outlook -- References -- 17 Chances for Social Interaction in Public Space Through a Practice of Commoning -- 17.1 Introduction -- 17.1.1 Chances by Urban Commons -- 17.1.2 Study Area Boeckinger Strasse -- 17.2 Method -- 17.2.1 General Context -- 17.2.2 Semi‐Structured Interviews -- 17.3 Results -- 17.3.1 Interviews -- 17.3.2 Experiment -- 17.4 Discussion -- References -- 18 Financing Sustainable Infrastructures in a Smart Cities' Context-Innovative Concepts, Solutions and Instruments -- 18.1 Introduction: The Challenge of Unsustainable Infrastructure for Metropolitan Areas -- 18.2 Smart Sustainable Cities as Ecosystems for Innovation 18.3 Need for Private Investments in Sustainable, Smart City Infrastructure Against the Background of Increasing Global Risks -- 18.4 Sustainable (Private) Finance-Bridging the Funding Gaps? -- 18.5 Applying Sustainable Finance to Smart City Infrastructure Investments: The Business Case for Sustainable Infrastructure -- 18.6 Case Studies: New Approaches to Making Sustainable Urban Infrastructure Finance Happen -- 18.7 (Policy) Recommendations, Conclusion and Outlook -- 19 Building the City's Business Networks: Using Visualisations for Business Ecosystem Governance -- 19.1 Introduction -- 19.2 Theoretical Background -- 19.2.1 Ecosystems, Networks, and Platforms -- 19.2.2 Visualising Business Ecosystems -- 19.3 Insights from Visualising Urban Ecosystems -- 19.4 Using Visualisations for Business Ecosystem Governance -- 19.5 Conclusion -- References -- IV Developing Digital Solutions for the Intelligent City -- 20 Development of an Eco-Routing App to Support Sustainable Mobility Behaviour -- 20.1 Introduction -- 20.1.1 Transport Challenges Facing European Metropolitan Regions -- 20.2 Aim of the Study, State of Research and Methodological Approach -- 20.2.1 Aim of the Study -- 20.2.2 State of Research -- 20.2.3 Methodological Approach -- 20.3 On Changing Mobility Behaviour in Metropolitan Regions -- 20.3.1 Use Scenarios of Eco‐Route Planners in Metropolitan Regions -- 20.3.2 Calculation of Emission Saving Potentials Using the EmiLa‐App -- 20.3.3 Indirect Effects: Increasing Environmental Awareness and Transferring to Environmental Behaviour -- 20.4 Outlook: The Metropolitan Region as a Pioneer for the Future Design of Mobility Systems Thanks to Changed Mobility Behaviour -- References -- 21 Promoting Objective and Subjective Safety for Cyclists in Metropolitan Areas -- 21.1 Introduction -- 21.2 Cycling Safety Application Vision Zero 21.2.1 Development Process Urban transportation Ballungsraum (DE-588)4069106-8 gnd Verkehrspolitik (DE-588)4062955-7 gnd Infrastruktur (DE-588)4026944-9 gnd Smart City (DE-588)1061057097 gnd Verkehrsplanung (DE-588)4062954-5 gnd Stadtverkehr (DE-588)4056783-7 gnd Stadtplanung (DE-588)4056754-0 gnd Stadtentwicklung (DE-588)4056730-8 gnd Infrastrukturplanung (DE-588)4161709-5 gnd Bevölkerungswachstum (DE-588)4129300-9 gnd Metropolregion (DE-588)7532090-3 gnd Nachhaltigkeit (DE-588)4326464-5 gnd |
subject_GND | (DE-588)4069106-8 (DE-588)4062955-7 (DE-588)4026944-9 (DE-588)1061057097 (DE-588)4062954-5 (DE-588)4056783-7 (DE-588)4056754-0 (DE-588)4056730-8 (DE-588)4161709-5 (DE-588)4129300-9 (DE-588)7532090-3 (DE-588)4326464-5 (DE-588)4011882-4 (DE-588)4143413-4 |
title | Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
title_auth | Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
title_exact_search | Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
title_exact_search_txtP | Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
title_full | Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
title_fullStr | Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
title_full_unstemmed | Innovations for Metropolitan Areas Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
title_short | Innovations for Metropolitan Areas |
title_sort | innovations for metropolitan areas intelligent solutions for mobility logistics and infrastructure designed for citizens |
title_sub | Intelligent Solutions for Mobility, Logistics and Infrastructure Designed for Citizens |
topic | Urban transportation Ballungsraum (DE-588)4069106-8 gnd Verkehrspolitik (DE-588)4062955-7 gnd Infrastruktur (DE-588)4026944-9 gnd Smart City (DE-588)1061057097 gnd Verkehrsplanung (DE-588)4062954-5 gnd Stadtverkehr (DE-588)4056783-7 gnd Stadtplanung (DE-588)4056754-0 gnd Stadtentwicklung (DE-588)4056730-8 gnd Infrastrukturplanung (DE-588)4161709-5 gnd Bevölkerungswachstum (DE-588)4129300-9 gnd Metropolregion (DE-588)7532090-3 gnd Nachhaltigkeit (DE-588)4326464-5 gnd |
topic_facet | Urban transportation Ballungsraum Verkehrspolitik Infrastruktur Smart City Verkehrsplanung Stadtverkehr Stadtplanung Stadtentwicklung Infrastrukturplanung Bevölkerungswachstum Metropolregion Nachhaltigkeit Deutschland Aufsatzsammlung |
work_keys_str_mv | AT planingpatrick innovationsformetropolitanareasintelligentsolutionsformobilitylogisticsandinfrastructuredesignedforcitizens AT mullerpatrick innovationsformetropolitanareasintelligentsolutionsformobilitylogisticsandinfrastructuredesignedforcitizens AT dehdaripayam innovationsformetropolitanareasintelligentsolutionsformobilitylogisticsandinfrastructuredesignedforcitizens AT baumerthomas innovationsformetropolitanareasintelligentsolutionsformobilitylogisticsandinfrastructuredesignedforcitizens |