封面
市場調查報告書
商品編碼
1630573

共享出行資料智慧平台基準

Benchmarking Shared Mobility Data Intelligence Platforms

出版日期: | 出版商: Frost & Sullivan | 英文 76 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

資料共用和標準化對於解決方案的廣泛採用至關重要

城市正在朝向更永續、更有效率的模式發展。重點是透過採用太陽能和風能等可再生能源以及推廣使用電動車來減少碳排放。此外,城市設計正在向行人友善轉變,包括更寬的人行道、自行車道和更多的綠地。城市希望大幅擴大其永續交通方式的佔有率,特別是在旅行方面。數位化城市可以透過採用先進技術和整合所有交通途徑來提高流動性。資料標準化等措施將使整個行動生態系統的資料共用變得更加容易。

過去幾年,共享出行市場一直穩定成長。 Frost & Sullivan預測,到2030年終,全球整體共享旅遊市場將成長至約4,400萬輛,其中叫車和共乘單車將佔85%以上。

除了大量車輛帶來的挑戰之外,還需要有效管理車隊以實現更好的供需管理。另一個問題是城市面臨的安全問題,尤其是Scooter的安全問題。許多事故的發生都是因為滑板Scooter停放不當或安裝在路邊。出於安全原因,巴黎、馬德里、蒙特婁和墨爾本等城市已禁止使用滑板Scooter。

有許多城市交通管理解決方案,包括基於交通管理位置的智慧(例如,行程、車輛、運動、變化分析、距離分析)和道路分析解決方案(例如,提供有關事件、收費、隧道、危險、法規、定價報告的解決方案)。該研究重點關注提供共享行動智慧以幫助城市更好地管理共用汽車的新興企業(成立於 2010 年後)。

研究的主要參與者包括 Fluctuo、Vianova、Populus、Blue Systems 和 Nivel。然而,這並不是該領域解決方案提供者的詳盡清單。研究期間為2020年至2030年,以2023年為基準年。

目錄

戰略問題

  • 成長為何變得越來越艱難?
  • The Strategic Imperative 8(TM)
  • 三大策略挑戰對共享出行資料智慧新興企業的影響

成長機會分析

  • 分析範圍
  • 成長指標
  • 成長動力
  • 成長阻礙因素
  • 城市交通相關人員的演變
  • 不斷發展的共享行動資料智慧解決方案
  • 解決方案成功因素 -資料
  • 這些解決方案的成功因素 - 曲線資料規格 (CDS)
  • 叫車服務如何影響城市
  • 微型交通共享對城市的影響
  • 汽車共享如何影響城市
  • 值得關注的新興企業比較分析
  • 共享行動資料智慧解決方案:未來前景如何

成長機會分析

  • 公司概況
  • City Dive 概覽
  • Delta概況
  • 橋樑概況
  • 案例研究1:VeloVision
  • 案例研究2
  • 關鍵要點

成長機會分析

  • 公司簡介
  • 情報資料平台
  • 資料產品
  • 案例研究1:布里斯班市議會
  • 案例研究2:柏林市
  • 案例研究3:巴黎市
  • 關鍵要點

成長機會分析

  • 公司簡介
  • Solution Suite
  • 案例研究1:西雅圖市
  • 案例研究2:慕尼黑市
  • 關鍵要點

成長機會分析

  • 公司概況
  • 移動管理器概述
  • 曲線管理器
  • 執法經理
  • 行動資料中心
  • 案例研究1:倫敦交通局 (TfL)
  • 案例研究2:洛杉磯交通局
  • 案例研究3:聖何塞
  • 關鍵要點

成長機會分析

  • 公司概況
  • 穩壓器分析
  • 停車應用程式和任務管理器很差
  • 案例研究1:卑爾根市
  • 關鍵要點

成長機會宇宙

  • 成長機會 1:地理與產品擴張
  • 成長機會二:城市作業系統
  • 成長機會三:自動駕駛汽車整合

後續步驟Next steps

  • 成長機會的益處和影響
  • 行動項目和後續步驟
  • 附件列表
  • 免責聲明
簡介目錄
Product Code: MHA5-44

Data Sharing and Standardization Vital for Solution Uptake

Cities are evolving toward a more sustainable and efficient model. A focus area is reducing carbon emissions by adopting renewable energy sources like solar and wind power and promoting electric vehicles. In addition, there is a shift toward pedestrian-friendly urban design, with wider sidewalks, bike lanes, and increased green spaces. Cities want to increase the sustainable modal share significantly, especially in terms of mobility. Digitally enabled cities can improve mobility by implementing advanced technologies or integrating all transport options. Initiatives such as data standardization will make sharing data across the mobility ecosystem easier.

The shared mobility market has been growing steadily in the past few years. Frost & Sullivan expects the overall global fleet of the shared mobility market to increase to about 44 million vehicles by the end of 2030, of which the ride-hailing and bike-sharing fleets account for over 85%.

Besides the challenge presented by the large vehicle volume, there is a need to efficiently manage them to enable better supply and demand management. Another problem is the issue of safety that cities face, particularly with kick scooters. Many accidents have occurred because kick scooters are improperly parked or people are riding them on the curb. Cities like Paris, Madrid, Montreal, and Melbourne have banned kick scooters due to safety reasons.

Many urban mobility management solutions exist, including traffic management location-based intelligence (e.g., trip, vehicle, movement, congestion, and distance analysis) and road analytics solutions (e.g., solutions that provide reports on events, tolling, tunnels, hazards, rules, or pricing). This study focuses on start-ups (companies founded post-2010) that offer shared mobility intelligence for cities to help them better manage shared fleets.

This research's main participants are Fluctuo, Vianova, Populus, Blue Systems, and Nivel. However, this selection is not an exhaustive list of solution providers in this space. The study period is 2020 to 2030, with 2023 as the base year.

Table of Contents

Strategic Imperatives

  • Why is it Increasingly Difficult to Grow?
  • The Strategic Imperative 8™
  • The Impact of the Top 3 Strategic Imperatives on Shared Mobility Data Intelligence Start-ups

Growth Opportunity Analysis

  • Scope of Analysis
  • Growth Metrics
  • Growth Drivers
  • Growth Restraints
  • City Mobility Stakeholder Evolution
  • Shared Mobility Data Intelligence Solutions-Evolution
  • Success Factor for These Solutions-MDS
  • Success Factor for These Solutions-Curb Data Specification (CDS)
  • The Impact of Ride-hailing Vehicles on Cities
  • The Impact of Micromobility Sharing on Cities
  • The Impact of Carsharing Vehicles on Cities
  • Comparative Analysis of Notable Start-ups
  • Shared Mobility Data Intelligence Solutions: The Way Forward

Growth Opportunity Analysis

  • Company Overview
  • City Dive Overview
  • Delta Overview
  • Bridge Overview
  • Case Study 1: VeloVision
  • Case Study 2
  • Key Takeaways

Growth Opportunity Analysis

  • Company Overview
  • Intelligence Data Platform
  • Data Products
  • Case Study 1: Brisbane City Council
  • Case Study 2: Berlin City
  • Case Study 3: Paris City
  • Key Takeaways

Growth Opportunity Analysis

  • Company Overview
  • Solution Suite
  • Case Study 1: Seattle City
  • Case Study 2: Munich City
  • Key Takeaways

Growth Opportunity Analysis

  • Company Overview
  • Mobility Manager Overview
  • Curb Manager
  • Enforcement Manager
  • Mobility Data Hub
  • Case Study 1: London Transport for London (TfL)
  • Case Study 2: LADOT
  • Case Study 3: San Jose
  • Key Takeaways

Growth Opportunity Analysis

  • Company Overview
  • Regulator Analytics
  • Poor Parking App and Task Manager
  • Case Study 1: Bergen City
  • Key Takeaways

Growth Opportunity Universe

  • Growth Opportunity 1: Geographic and Product Expansion
  • Growth Opportunity 2: City Operating Systems
  • Growth Opportunity 3: Integration of Autonomous Vehicles

Next Steps

  • Benefits and Impacts of Growth Opportunities
  • Action Items & Next Steps
  • List of Exhibits
  • Legal Disclaimer