德勤：2023出行即服务研究报告（英文版）（31页）.pdf

1、Make MobilityMake Mobility-asas-a a-Service workService work 01 Make Mobility-as-a-Service(MaaS)work An artificial intelligence-grounded blueprint Make Mobility-as-a-Service work November 2023 Make MobilityMake Mobility-asas-a a-Service workService work 02 Executive summary The last decade has witne

2、ssed how Mobility-as-a-Service(MaaS)has become more important when talking about urban mobility.The premise of streamlining diverse services into a cohesive solution with significant societal and environmental implications has attracted lots of attention from players all over the world.But despite t

3、he potential that MaaS presents,substantial challenges hinder its broad implementation and the successful establishment of profitable ecosystems.The following point of view was developed with the goal of developing a better understanding on MaaS ecosystems and their journey toward profitability and

4、is split into two main chapters.The first part presents an AI-grounded analysis of MaaS ecosystems,which was conducted via an iterative process using a customized Natural Language Processing(NLP)approach to analyze key constructs and variables of ecosystem-building activities within the MaaS sector.

5、Natural language inference was applied to 26,288 selected text snippets between 2015 and 2022.Then,certain ecosystems could be analyzed and trends in the industry identified to better understand what MaaS orchestrators have achieved to date,how the establishment of ecosystems has evolved,and how suc

6、cessful practices differentiate themselves from the rest.Key takeaways include the use of asset collaboration to expand offerings and improve customer experience without heavy capital investments,and the implementation of integrated customer solutions,acting as a one-stop-shop,to boost user engageme