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Strategic Analysis of the Global Demand-Responsive Transit (DRT) Market, Forecast to 2030

Strategic Analysis of the Global Demand-Responsive Transit (DRT) Market, Forecast to 2030

Traditional public transit modes have remained unchanged over decades and inherent flaws have remained unaddressed. The fixed-route and fixed-schedule model works efficiently on high-density routes but routes with lower demand and density along with demand at odd hours are not as efficiently catered to by traditional public transit. While alternate modes of single-occupancy transport, such as taxis, private hire vehicles, chauffeur-driven vehicles, and others have evolved, these are much more expensive as compared to public transit as they offer greater levels of convenience. Demand-responsive single-occupancy modes such as app-based taxis and ride hailing vehicles have further increased convenience levels. Even as single-occupancy mobility modes continue to transform and offer new business models, shared mobility is increasingly being hailed as the need of the hour. Congestion, pollution, parking, and overdependence on conventional fuel are a few of the urban mobility issues that need immediate attention. Efficient shared mobility that offers convenience along with increasing utilization of assets and the overall efficacy of the model would be instrumental in revolutionizing the mobility market.

With different mobility modes evolving efficiently over time, there is a pressing need for shared mobility modes such as public transit to transform its operating models. Special jitney and shuttle services have been able to capture a part of the demand but these have remained restricted to institutional and organizational use. The emergence of demand-responsive shuttles and buses has defined a new growth paradigm for shared mobility. These shuttles, which offer the convenience of private transportation at price points similar to public transport, operate similar to e-hailing taxi apps. The service providers have an app interface that passengers can use to hail a shuttle. Using algorithms and data analytics, these shuttles group passengers travelling in the same direction and take the shortest route possible to the destination.

The demand-responsive shuttle transit model was first introduced in Finland and was called Kutsuplus. Since 2013, a number of service providers have entered the market with regions such as North America, Asia Pacific, and Europe being the hotspots. Though still at a nascent stage of development, the market holds immense potential as passengers become more accepting of shared mobility modes and governments and cities take a number of measures to introduce efficient mobility options that are aligned with the concept of smart cities. Government mandates on issues such as bans on highly polluting commercial vehicles in city centers, electric vehicles, and congestion are expected to be the key drivers for the market. In the long term, the advent of autonomous shuttles is further expected to increase efficiency of the model at much lower costs.


  • Executive Summary
    • Key Findings
    • Evolution of Public Bus Transit Systems
    • Understanding the Evolving Bus Systems
    • Demand-Responsive Transit-Market Overview
    • Demand-Responsive Shuttles-Market Size Overview
    • DRT Pricing and Costing
    • Investments in the DRT Market
    • DRT Use Cases
    • Snapshot of Key Markets
      • Table Demand-Responsive Shuttle Market: Key Participants, Global, 2017
    • Major Participants Shaping the Market
    • Global Demand-Responsive Shuttle Market-Key Participants
    • Current Market Scenario
    • Engaging Key Stakeholders to Enable Success of Demand Responsive Shuttle Services
    • DRT-Future Vehicle Design
    • Key Findings and Future Outlook
    • Associated Multimedia
  • Research Scope, Objectives, Background, and Methodology
    • Research Scope
    • Geographic Definitions and Research Timeline
    • Research Aims and Objectives
    • Key Questions this Study will Answer
    • Research Background
    • Research Methodology
  • Definitions and Segmentation
    • Demand-Responsive Transit-Market Overview
    • Demand-Responsive Transit-Market Definitions
  • Introduction to the Demand-Responsive Shuttle Market
    • Characteristics of Traditional Bus Transit Models
    • Factors Impacting Transition to a Demand-Responsive Transit Model
    • Evolution towards Demand-Responsive Transit
    • Demand-Responsive Shuttle-How they Fit into Transport Systems
    • Average Fare Comparison-Public Transport v/s DRT v/s Taxis
    • The Concept of Demand-Responsive Transit
    • Demand-Responsive Transit Segments-Fixed Model
    • Demand-Responsive Transit Segments-Dynamic Model
    • Pricing Models
    • Cost Comparison-Fixed Route v/s Dynamic Route
    • Cost Analysis-Sam Trans's Case Study
  • Market Landscape
    • Stakeholder and Player Ecosystem
    • Demand-Responsive Shuttle Market-Key Participant Groups
    • Global Demand-Responsive Shuttle Market-Key Participants
    • Key Developments Catalyzing the Market
    • Company Snapshot-Chariot
    • Company Snapshot-Shuttl
    • Company Snapshot-Tuup's On-Demand Mobility App, Kyyti
    • VTA Flex
    • Beeline
    • Company Snapshot-TransLoc, BestMile, and RideCell
    • OEMs' DRT Strategies
    • Implications of the Demand-Responsive Shuttle Transit Model
    • Diversifying Customer Base
  • Global and Regional Analysis of the Demand-Responsive Shuttle Market
    • Demand-Responsive Shuttle Market-Global Snapshot
      • Table Demand-Responsive Shuttle Market: Fleet Size, Global, 2016-2030
    • DRT Market North America-Frost & Sullivan Scenario
      • Table Demand-Responsive Shuttle Market: Fleet Size and Total Number of Rides, NA, 2016-2030
    • DRT Market Europe-Frost & Sullivan Scenario
      • Table Demand-Responsive Shuttle Market: Fleet Size and Total Number of Rides, Europe, 2016-2030
    • DRT Market Asia Pacific-Frost & Sullivan Scenario
      • Table Demand-Responsive Shuttle Market: Fleet Size and Total Number of Rides, APAC, 2016-2030
    • DRT Market Latin America-Frost & Sullivan Scenario
      • Table Demand-Responsive Shuttle Market: Fleet Size and Total Number of Rides, Latin America, 2016-2030
    • DRT Market Africa-Frost & Sullivan Scenario
      • Table Demand-Responsive Shuttle Market: Fleet Size and Total Number of Rides, Africa, 2016-2030
    • DRT as a Percent of Shared Vehicles-Frost & Sullivan Scenario
      • Table Demand-Responsive Shuttle Market: Fleet Size and Penetration Rate, Global, 2016-2030
  • Drivers and Restraints-Demand-Responsive Shuttle Market
    • Key Themes Defining Demand-Responsive Shuttle Transit
    • Market Drivers
    • Drivers Explained
    • Market Restraints
    • Restraints Explained
  • Impact of Technology
    • Data Analytics in DRT
    • Technology Trends-Electric Shuttles
    • Autonomous Technology as Catalyst for Demand-Responsive Transit
    • Operating Model of Demand-Responsive Autonomous Shuttle Transit
    • Case Study-BestMile
    • DRT-Future Vehicle Design
    • Autonomous Shuttle Pilots-Global Snapshot
  • Growth Opportunities and Companies to Action
    • Growth Opportunity-Building the case for Demand-Responsive Shuttles
    • Strategic Imperatives for Success and Growth
  • Conclusions and Future Outlook
    • Key Conclusions and Future Outlook
    • The Last Word-3 Big Predictions
  • Appendix
    • Global Footprint of Demand-Responsive Shuttle Services
    • Abbreviations and Acronyms Used
    • Market Engineering Methodology

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