Smart Mobility Ecosystems and Services
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ItemDelivery Drones - Just a Hype? Towards Autonomous Air Mobility Services at Scale( 2023-01-03)While hype often arises around emerging technologies, delivery drones have received a significant share of attention in recent years. A variety of applications for drone networks formed, from delivering medical goods to drone-delivered pizza. Nevertheless, high expectations did not yet result in a widespread deployment of drones to improve logistic networks. We conducted semi-structured interviews with drone and aviation experts to derive a taxonomy of challenges for autonomous drone operations and gain practical insight into promising solution approaches that could transform the current hype into sound business models. Our findings comprise a multitude of operational, technical, social and legal issues that have not been identified in literature. Societal adaption and the development and interaction with AI-based systems pose a major challenge to provide autonomous air mobility services in the near future.
ItemUtilizing Fleet Data: Towards Designing a Connected Fleet Management System for the Effective Use of Multi-Brand Car Data( 2023-01-03)The connected car has recently evolved from a theoretical concept to reality. Especially in professionally managed fleets, car connectivity promises additional benefits in terms of costs, environment, and maintenance. However, many fleet managers are unaware of using connected car data and still associate telematics with retrofitting each vehicle. Thus, we aim to develop a connected fleet management system to increase fleet operations’ efficiency and effectiveness by utilizing multi-brand data from car manufacturers’ backend shared by data marketplaces. Thereby, we follow a design science research approach using inputs from the existing body of knowledge and the practical problem domain. Drawing on the theory of effective use, we propose meta-requirements and tentative design principles and instantiate them in a prototype artifact.
ItemLessons from the Regulation of E-scooters through the MDS Standard: Policy Lessons for Connected Vehicles( 2023-01-03)Connected vehicles generate new data streams that present promising opportunities for policymakers to monitor and learn from events and behavior. To explore what we can learn from how public entities leverage ubiquitous data streams for policy development and enforcement, we draw on a case study of the standard Mobility Data Specification (MDS) and its use by cities to regulate E-scooter operators. Our findings suggest that (1) the richness of real-time data changes the speed of policy revision, (2) data access enables moving some micro-decisions to the edge, and (3) policy will be formulated as fixed or flexible with different amendment rules.