Towards transport futures using mobile data analytics : Stakeholder identification in the city of Stockholm

University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

Abstract: The use of big data in urban transport planning is unstoppably gaining momentum and with the help of strategic business partnerships and technological advancements (e.g. transport apps, mobile device location tracking, data processing) the new mobility models are evolving towards an integrated and multimodal urban mobility: Mobility as a Service (MaaS). From the generation of data by Telecom companies to transport end users, a broad range of stakeholders are involved in the data market. This tighter with the call for sustainable alternatives in passenger traffic highlights that business relations are complex, and that businesses in this data market also have long-range transport objectives. This Master Thesis develops a stakeholder analysis of the network of actors related to mobile data and users. It explores the city of Stockholm as case study to identify who are the market players (i.e. companies) and what are their respective roles and business models. Based on sectoral expertise interviews and literature and website review, a three-cluster organization of data suppliers, data facilitators and data end users set the structure to evaluate stakeholder relationships. Data trading opens a debate on which Telecoms not only address raw data processing methods but also reach less accurate mobility outcomes (e.g. trips per person, OD matrices, travel distance, average speed), or, on the other hand, which delegate the added-value service to third parties. The analyzed actor network outstands frictions between the public and private sector and, certainly, when processed data steps on the transport industry (e.g. PT operators, infrastructure managers, private service operators (Uber), passengers). This is an institutional barrier that prevents a full MaaS implementation in the Stockholm region. The challenge resides on revising actor network gaps (i.e. new roles of MaaS Operators or Collecting Agents) and easy flow data transactions to encourage integrated modal choice in transport apps offerings. Despite exiting MaaS initiatives (e.g. UbiGo) in Stockholm and little research in data-based stakeholders, this is a first approximation of a stakeholder map to an immature and innovative research area with great potential in the future.

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