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

被引:1
作者
Bridgelall, Raj [1 ]
Tolliver, Denver [2 ]
机构
[1] North Dakota State Univ, Coll Business, Transportat Logist & Finance, POB 6050, Fargo, ND 58108 USA
[2] North Dakota State Univ, Upper Great Plains Transportat Inst, POB 6050, Fargo, ND 58108 USA
关键词
air logistics; autonomous aircraft; GIS; route optimization; supply chain risk management; Vertiports; underutilized airports; multimodal logistical center;
D O I
10.3390/su16135709
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:22
相关论文
共 38 条
[21]  
Kwon S., 2023, Springer Handbook of Automation, P1289
[22]  
Leslie A., 2023, ANAL OPERATIONAL COS
[23]   Demand analysis in urban air mobility: A literature review [J].
Long, Qi ;
Ma, Jun ;
Jiang, Feifeng ;
Webster, Christopher John .
JOURNAL OF AIR TRANSPORT MANAGEMENT, 2023, 112
[24]  
Maheswari R., 2021, Journal of Physics: Conference Series, DOI 10.1088/1742-6596/1964/6/062112
[25]   AAM/goods delivery: main enablers for BVLOS routine operations within environment at low and medium risk [J].
Menichino, Aniello ;
Di Vito, Vittorio ;
Ariante, Gennaro ;
Del Core, Giuseppe .
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2023, 95 (10) :1578-1587
[26]   Autonomous Advanced Aerial Mobility-An End-to-End Autonomy Framework for UAVs and Beyond [J].
Mishra, Sakshi ;
Palanisamy, Praveen .
IEEE ACCESS, 2023, 11 :136318-136349
[27]  
Nalini M., 2024, Artificial Intelligence for Autonomous Vehicles, P131
[28]   Vertical Takeoff and Landing for Distribution of Parcels to Hospitals: A Case Study about Industry 5.0 Application in Israel's Healthcare Arena [J].
Naor, Michael ;
Pinto, Gavriel David ;
Davidov, Pini ;
Cohen, Yuval ;
Izchaki, Linor ;
Hadieh, Mukarram ;
Ghaith, Malak .
SUSTAINABILITY, 2024, 16 (11)
[29]  
NDMA North Dakota Medical Association, 2018, ABOUT US
[30]  
NDTD, North Dakota Airports