A Four-Dimensional Planning Framework for Drone-Enabled Mobility Systems: Integrating Goods, Information, Sensing, and Human Mobility
Unmanned aerial vehicles (UAVs) are increasingly considered as enabling technologies for last-mile delivery, emergency medical response, and smart-city applications. However, drone-based logistics, emergency communication, sensing activities, and future aerial mobility are often addressed as separate research domains. This article proposes a four-dimensional planning framework for drone-enabled mobility, integrating goods, information, sensing, and human mobility within a unified conceptual structure. The framework is developed through a literature-informed conceptual analysis and previous applied research experiences related to drone-assisted logistics and emergency communication. Goods mobility includes parcel delivery, medical logistics, emergency supply transport, and hybrid operational models involving trucks, public transport, depots, and micro-hubs. Information mobility refers to the use of drones as mobile communication tools for emergency warnings, citizen interaction, drone-to-infrastructure communication, and infomobility services. Sensing mobility concerns traffic monitoring, environmental observation, disaster mapping, crowd monitoring, and infrastructure inspection. Human mobility is considered as an emerging extension related to urban air mobility (UAM), electric vertical take-off and landing (eVTOL) systems, and low-altitude aerial corridors. Cross-cutting issues such as energy autonomy, solar-assisted drones, multimodal integration, safety, communication, regulation, sustainability, and public acceptance are discussed. The proposed framework provides a structured basis for assessing drones as components of sustainable, resilient, and multimodal mobility systems.
Authors
- Antonio Pratelli (ORCID: https://orcid.org/0000-0003-1477-4608)
- Dorothée Conte (ORCID: https://orcid.org/0009-0003-3240-1749)
- Lorenzo Brocchini (ORCID: https://orcid.org/0000-0002-3752-6853)
- Alessandro Farina
- Chenxi Wang
Institutions
- University of Pisa (IT)
Publication Details
- Journal
- Drones
- Published
- 2026-08-27
- DOI
- https://doi.org/10.3390/drones10090654
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00