Mauricio Orozco-Fontalvo , André Soares Lopes , David Vale , Filipe Moura
{"title":"IMPReSS:对 MaaS 系统进行分类的综合方法","authors":"Mauricio Orozco-Fontalvo , André Soares Lopes , David Vale , Filipe Moura","doi":"10.1016/j.tranpol.2024.07.005","DOIUrl":null,"url":null,"abstract":"<div><p>Mobility as a Service (MaaS) has the potential to improve urban mobility by reducing car ownership and promoting multimodal transport through a single mobility app that provides trip planners, booking, ticketing, and payment for different modes and bundles. However, not all existing MaaS (or potential MaaS) systems provide a fully integrated system. Several authors have proposed different methodologies to assess MaaS integration. However, these approaches have some limitations regarding the scalability or characterization of the systems, making it hard to compare between them, as the current approaches are all incremental. In this work, we propose a new method called IMPReSS, a binary coding approach that assesses several dimensions of MaaS: Information, Multimodality, Payment, Reservation, Subscription, and Societal goals. It allows proper classification and comparison of different systems, using the societal goals as a cornerstone for its evaluation. Also, we propose a complementary scoring system based on the IMPReSS topology. This qualitative and quantitative methodology will allow practitioners and researchers to characterize, identify, and adequately assess transportation services and their potential to become a fully integrated MaaS system. Our results show that mature MaaS systems with public authorities involved, and some often excluded from MaaS discussion systems are ranked higher, while some wrongly called MaaS apps are ranked at the bottom. In summary, it assesses systems from a different and flexible perspective.</p></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"155 ","pages":"Pages 234-241"},"PeriodicalIF":6.3000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0967070X24002014/pdfft?md5=dcab71d3b7cc8053fc7d6f367a10fb6e&pid=1-s2.0-S0967070X24002014-main.pdf","citationCount":"0","resultStr":"{\"title\":\"IMPReSS: A comprehensive method to classify MaaS systems\",\"authors\":\"Mauricio Orozco-Fontalvo , André Soares Lopes , David Vale , Filipe Moura\",\"doi\":\"10.1016/j.tranpol.2024.07.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Mobility as a Service (MaaS) has the potential to improve urban mobility by reducing car ownership and promoting multimodal transport through a single mobility app that provides trip planners, booking, ticketing, and payment for different modes and bundles. However, not all existing MaaS (or potential MaaS) systems provide a fully integrated system. Several authors have proposed different methodologies to assess MaaS integration. However, these approaches have some limitations regarding the scalability or characterization of the systems, making it hard to compare between them, as the current approaches are all incremental. In this work, we propose a new method called IMPReSS, a binary coding approach that assesses several dimensions of MaaS: Information, Multimodality, Payment, Reservation, Subscription, and Societal goals. It allows proper classification and comparison of different systems, using the societal goals as a cornerstone for its evaluation. Also, we propose a complementary scoring system based on the IMPReSS topology. This qualitative and quantitative methodology will allow practitioners and researchers to characterize, identify, and adequately assess transportation services and their potential to become a fully integrated MaaS system. Our results show that mature MaaS systems with public authorities involved, and some often excluded from MaaS discussion systems are ranked higher, while some wrongly called MaaS apps are ranked at the bottom. In summary, it assesses systems from a different and flexible perspective.</p></div>\",\"PeriodicalId\":48378,\"journal\":{\"name\":\"Transport Policy\",\"volume\":\"155 \",\"pages\":\"Pages 234-241\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0967070X24002014/pdfft?md5=dcab71d3b7cc8053fc7d6f367a10fb6e&pid=1-s2.0-S0967070X24002014-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport Policy\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0967070X24002014\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X24002014","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
IMPReSS: A comprehensive method to classify MaaS systems
Mobility as a Service (MaaS) has the potential to improve urban mobility by reducing car ownership and promoting multimodal transport through a single mobility app that provides trip planners, booking, ticketing, and payment for different modes and bundles. However, not all existing MaaS (or potential MaaS) systems provide a fully integrated system. Several authors have proposed different methodologies to assess MaaS integration. However, these approaches have some limitations regarding the scalability or characterization of the systems, making it hard to compare between them, as the current approaches are all incremental. In this work, we propose a new method called IMPReSS, a binary coding approach that assesses several dimensions of MaaS: Information, Multimodality, Payment, Reservation, Subscription, and Societal goals. It allows proper classification and comparison of different systems, using the societal goals as a cornerstone for its evaluation. Also, we propose a complementary scoring system based on the IMPReSS topology. This qualitative and quantitative methodology will allow practitioners and researchers to characterize, identify, and adequately assess transportation services and their potential to become a fully integrated MaaS system. Our results show that mature MaaS systems with public authorities involved, and some often excluded from MaaS discussion systems are ranked higher, while some wrongly called MaaS apps are ranked at the bottom. In summary, it assesses systems from a different and flexible perspective.
期刊介绍:
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.