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Expected Success of Shared Mobility and Implications on Vehicle Ownership, Forecast to 2022

出版商 Frost & Sullivan 商品編碼 918947
出版日期 內容資訊 英文 52 Pages
商品交期: 最快1-2個工作天內
共享移動的成功預測與私人汽車擁有數的影響:至2022年的預測) Expected Success of Shared Mobility and Implications on Vehicle Ownership, Forecast to 2022
出版日期: 2019年12月03日內容資訊: 英文 52 Pages

本報告提供北美各國的私人汽車擁有數的估計值、預測值,及MaaS (行動「即服務」) 及共享移動服務的成功預測相關分析,兩個公司的相關性和共通的影響要素,產業相關人員今後應致力處理的課題等資訊彙整,為您概述為以下內容。


  • 分析概要:私人汽車擁有數趨勢預測
  • 分析概要:MaaS (Mobility as a Service)的普及預測
  • 分析概要與未來展望
  • 分析範圍、目的
  • 推動市場要素:私人汽車持有趨勢
  • 阻礙市場要素:私人汽車持有趨勢
  • 私人汽車擁有數的預測值
  • 未來的私人汽車擁有數的變動預測
  • 共享移動服務的成功預測
  • 私人汽車擁有數:西雅圖、達拉斯、底特律的情況
  • 共享移動服務的成功預測:西雅圖、達拉斯、底特律的情況

成長機會及推薦行動 (C2A)

  • 汽車廠商 (OEM) 和MaaS供應商
  • MaaS市場成長機會
  • 新行動服務的成長、促使成長的策略性課題


  • 未來的私人汽車擁有數的變動預測:概要
  • 共享移動服務的成功預測:概要



Product Code: 9AB2/C3

Predicting Success of MaaS in North America

The Expected Success of Shared Mobility and Implications on Vehicle Ownership takes a holistic approach to determining the success of new shared mobility platforms in specific urban areas as well as the implications on personal vehicle ownership. First, the study analyzes key market drivers and restraints, interpreting factors such as declining vehicle sales, competition from new ridehailing entrants, and proliferation of shared mobility services. This in addition to statistics around urbanization, declining public transit 'ridership', and investment from major tech players and OEMs guides the analysis of key variables.

From these variables, such as total cost of vehicle ownership, access to public transportation, mobility service offerings, congestions/traffic patterns, and urban sprawl/city size, we create various scores for select geographies. The cost and convenience score, congestion score, mobility score, and public incentive score help to frame how the variables influence personal vehicle ownership. Applying these variables to the cities of Seattle, Dallas, and Detroit explains why consumers may or may not choose to relinquish a personal vehicle.

While the likelihood to own a personal vehicle strongly influences the success of shared mobility platforms, it is important to dig deeper to uncover other factors that may determine how new mobility services will fare in select geographies. With that in mind, we analyze variables such as population density, tech saturation, parking cost/availability, urban design, and access to public transportation to create scores for select geographies. This includes the entrance score, pedestrian friendliness score, accessibility score, and public incentive score to understand if mobility services are likely to thrive in the aforementioned cities.

Once scores have been calculated from both quantitative and qualitative information, analysis and interpretation of both the success of mobility services and likelihood of personal vehicle ownership specific geographies becomes understandable. By taking an average of all scores, it is possible to compare geographies on the same scale. As such, this study serves as a framework to interpret success of shared mobility services and likelihood of personal vehicle ownership across cities in the US.

This model grows as new information is gathered, demographics, services, regulation, initiatives and variables change. The flexibility provided by this study can help guide future analysis of the topics researched in various urban settings. New mobility and powertrain innovations are certain to change consumer ownership and transit habits. Urban infrastructure development will cause some cities to be more attractive for public transit ridership, personal vehicle ownership, and mobility service adoption. With this in mind, the weight assigned to various scores can be easily adapted with societal changes.

Table of Contents

Executive Summary

  • Key Findings-Personal Vehicle Ownership
  • Key Findings-Mobility-as-a-Service Adoption
  • Key Findings and Future Outlook
  • Research Scope and Objectives
  • Market Drivers-Vehicle Ownership
  • Vehicle Ownership Drivers Explained
  • Market Restraints-Vehicle Ownership
  • Vehicle Ownership Restraints Explained
  • Market Drivers-MaaS
  • MaaS Drivers Explained
  • Market Restraints-MaaS
  • MaaS Restraints Explained
  • Market Trends Discussion (2018-2022)
  • Predicting Vehicle Ownership
  • Predicting Vehicle Ownership (continued)
  • Criteria and Variables
  • Criteria and Variables (continued)
  • Likelihood to Forego Personal Vehicle Ownership
  • Predicting the Success of Shared Mobility Services
  • Predicting the Success of Shared Mobility Services (continued)
  • Criteria and Variables
  • Criteria and Variables (continued)
  • Predicted Success of Shared Mobility
  • Vehicle Ownership Profile-Seattle
  • Vehicle Ownership Profile-Dallas
  • Vehicle Ownership Profile-Detroit
  • Success of Shared Mobility Profile-Seattle
  • Success of Shared Mobility Profile-Dallas
  • Success of Shared Mobility Profile-Detroit

Growth Opportunities and Companies to Action

  • OEMs and MaaS Providers
  • MaaS Growth Opportunities
  • Strategic Imperatives for Success and Growth of New Mobility Services

Key Conclusions

  • Likelihood to Forego Vehicle Ownership Summary
  • Success of Shared Mobility Summary
  • Legal Disclaimer


  • List of Exhibits

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