Transforming Healthcare Delivery with Advanced Air Mobility: A Rural Study with GIS-Based Optimization

Raj Bridgelall () and Denver Tolliver
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Raj Bridgelall: Transportation, Logistics & Finance, College of Business, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USA
Denver Tolliver: Upper Great Plains Transportation Institute, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USA

Sustainability, 2024, vol. 16, issue 13, 1-22

Abstract: The efficient and timely delivery of pharmaceuticals is critical, particularly in regions with dispersed populations and challenging logistics. Inclement weather often disrupts ground transport, complicating the consistent supply of essential medications. Advanced air mobility (AAM), particularly through the use of drones, presents a promising solution to these logistical challenges by enabling smaller, more frequent deliveries to low density populated places and bypassing traditional transport constraints. This study evaluates the potential benefits of AAM for pharmaceutical transport in North Dakota (ND). The authors developed a comprehensive GIS and optimization framework to identify optimal locations for logistical centers and routes for drone and truck transport. The study introduces a person-years-saved (PYS) metric to rank the potential for AAM deployments to foster healthcare improvements in underserved communities. Moreover, the study found that drone trips were significantly more cost-effective and efficient than truck trips, with trucks being 2.3 times more expensive and having a 2.8 times higher underutilization rate. The study concludes with recommendations for regulatory support and future research to validate and expand the application of AAM in pharmaceutical logistics, contributing to improved healthcare delivery and operational efficiency in often overlooked rural populations. These insights provide a foundation for the practical implementation of AAM technologies, emphasizing their potential to revolutionize pharmaceutical logistics in challenging environments.

Keywords: air logistics; autonomous aircraft; GIS; route optimization; supply chain risk management; Vertiports; underutilized airports; multimodal logistical center (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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