This dataset contains a set of semi-structured interviews with (motor) insurers, insurance stakeholders, and stakeholders in transport or law working closely with insurers. The interviews, across multiple countries, were based on semi-structured questions around how current and future mobility developments and innovations - Electric Vehicles, Autonomous Vehicles, Mobility Data, Micro-Mobility and Shared Mobility - affect insures, and how insurers in turn affect these shifts in our mobility. Questions were asked about the most important mobility challenges that insurers witnessed; how these mobility developments affect them from a underwriting, busines, legal, claims and pricing perspective; how insurers are adapting to these development (in terms of collaborations, lobby, learning, etc.); and whether insurers should have an explicit role to play in the mobility transition. Interviewees (N=52) either consented writtenly through Oxfords consent form (stored) or verbally (on record) to be quoted anonymously. Those who did not agree explicitly to anonymous quotation have been excluded from data archiving (n=13). Data thus comprises of 39 transcripts in Word format (totalling less than 3MB) with insurers or stakeholders in transport or law working closely with (motor) insurers in the United Kingdom, Netherlands or Germany. We've further included 1 semi-structured questionairre in Word format to reference the semi-structured questions asked to stakeholders; a data table with an anonymized overview of the interviewees in Excel format; and an blank consent form shared with interviewees. All transcripts have been through a round of anonymisation: removal of any direct (names, companies, age, profesional history) and indirect indentifiers (references to people/meetings, etc), with stronger anonymisation the more unique the organisation (as more identifiable). At any time, use of quotes should be anonymously attributed to general branch/sector!This project studies the role of insurance in the transition of road transport: a systemic transformation of our mobility following changes and innovations in technology, user practices, policy, knowledge and business models. From an insurance perspective four developments stand out. (1) The growing availability of mobility data from increasingly real-time sensor data from vehicles, infrastructure, cameras, etc. (2) The automation and increasing connectivity of vehicles that shift liability from drivers and operators to automated and connected driving systems. (3) The electrification of vehicles, which adds new (fire) risks and cost calculations. And (4) the new (shared) forms of mobility that emerge around e-scooters, (private) car-sharing and ride-hailing services. There is a need to govern these trends as they come with new opportunities and risks to transport climate emission targets, road-safety, urban planning and accessibility. There is also a need to understand how insurers respond to these innovations that affect their whole business: from their risk analyses, product development and liability all the way to a potential shrinking of the overall market. These two needs are closely interrelated. The disciplines that study the insurance aspects of these developments, like law, transport and underwriting, typically do so with the goal to improve and optimize insurance assessments, products and premiums. Missing from this work is the insight from critical security studies (CSS) that insurance acts as a form of governance. For example, people who cannot afford or are rejected for insurance are legally excluded from driving a car in most developed countries. Similarly, insurers actively use premiums to guide 'risky' people, often young drivers, to drive more carefully. Insurance thus helps direct mobility, which implies that there is a direct link between how insurance is organized internally and how these aforementioned trends are governed socially. CSS offers this insight based on its study of the role that security plays in society. A core argument in CSS is that how people do security or insurance, not just whether people are secure or insured, is important because such acts and decisions inherently have discriminatory effects: they differentiate between those with and without protection and distribute resources accordingly. CSS thus asks why certain technologies, activities or behaviours are considered risky at certain times and places. This is an important question, because the four developments offer an opportunity to understand how insurers observe, learn and adapt their old routines to these new developments. Developments on which they have no or little data, statistical models, terms and conditions or claims handling processes.

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