Drivers and Barriers for Integrated Mobility Services

Social Sciences

• Service Industries 100%
• Public Transport 46%
• Actors 38%
• Ecosystems 19%
• Legislation 15%
• Organizations 15%
• Urban Areas 15%
• Enterprises 15%
• Motor Vehicles 15%
• Research 11%
• Micro Level 11%
• Meso Level 11%
• Macro Level 11%
• Economic and Social Development 7%
• Experience 7%
• Problem 7%
• Consumers 7%
• Transport 7%
• Government 7%
• Travel 7%
• Alternatives 7%
• Vehicle 7%
• Group 3%
• Civil Society 3%
• Authority 3%
• Measures 3%
• Change 3%
• Capacity 3%
• Management 3%
• Implementation 3%
• Combine 3%
• Literature 3%
• State 3%
• Sustainability 3%
• Boundaries 3%
• Subsidy 3%
• Introduction 3%
• Economic Growth 3%
• Sharing Economy 3%
• Car Sharing 3%
• Acceptance 3%
• Incentive 3%
• Profits 3%
• Action Plan 3%
• City Center 3%
• Willingness-to-Pay 3%
• Public Interest 3%
• Means of Transport 3%

Economics, Econometrics and Finance

• Institution 44%
• Benefits 22%
• Regulation 22%
• Legislation 22%
• Taxation 22%
• Metropolitan Area 22%
• Infrastructure 22%
• Aviation Employees 11%
• Sustainability 11%
• Profit 11%
• Payment System 11%
• Subsidy 11%
• Economics 11%
• Consumption 11%
• Incentives 11%
• Ownership 11%
• Institutional Theory 11%
• Willingness to Pay 11%
• Behavioral Economics 11%
• Central City 11%
• Financing Policy 11%

Computer Science

• Service 100%
• Roles 26%
• Service Offering 8%
• Business Ecosystem 8%
• Local Authority 4%
• User 4%
• Programs 4%
• Public Institution 4%
• Rapid Development 4%
• Related Question 4%
• Social Inclusion 4%
• Personal Preference 4%
• Attractiveness 4%
• Physical Infrastructure 4%
• Business Opportunity 4%
• Level Authority 4%
• Integrated Service 4%
• Party Organization 4%
• Transportation Mode 4%
• Government Level 4%
• Medium Organization 4%
• Data Availability 4%
• personalized service 4%
• Data Standardization 4%
• Status Quo Bias 4%
• Utilization Rate 4%
• Service Integrator 4%