Drone-Assisted Last-Mile Delivery Under Windy Conditions: Zero Pollution Solutions

As cities expand and the global push for zero pollution intensifies, sustainable last-mile delivery (LMD) systems are essential to minimizing environmental and health impacts. This study addresses the need for more sustainable LMD by examining the integration of wind conditions into drone-assisted deliveries, focusing on their effects on air and noise pollution in urban areas. We extend the flying sidekick traveling salesman problem (FSTSP) by incorporating meteorological factors, specifically wind, to assess drone delivery efficiency in varying conditions. Our results show that while drones significantly reduce greenhouse gas emissions compared to traditional delivery vehicles, their contribution to noise pollution remains a concern. This research highlights the environmental advantages of using drones, particularly in reducing CO2 emissions, while also emphasizing the need for further investigation into mitigating their noise impact. By evaluating the trade-offs between air and noise pollution, this study provides insights into developing more sustainable, health-conscious delivery models that contribute to smart city initiatives. The findings inform policy, urban planning, and logistics strategies aimed at achieving zero pollution goals and improving urban livability.

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Publication Details

Journal
Smart Cities
Published
2024-11-10
DOI
https://doi.org/10.3390/smartcities7060134
Citations
6
Primary Topic
Transportation and Mobility Innovations
Type
article
Field-Weighted Citation Impact
1.22

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article

Drone-Assisted Last-Mile Delivery Under Windy Conditions: Zero Pollution Solutions

Şeyda Serdarasan, Özlem Gürel
6 citations
Smart Cities
Transportation and Mobility Innovations
1.22
article

Drone-Assisted Last-Mile Delivery Under Windy Conditions: Zero Pollution Solutions

Şeyda Serdarasan, Özlem Gürel
article en
6 citations

Abstract

As cities expand and the global push for zero pollution intensifies, sustainable last-mile delivery (LMD) systems are essential to minimizing environmental and health impacts. This study addresses the need for more sustainable LMD by examining the integration of wind conditions into drone-assisted deliveries, focusing on their effects on air and noise pollution in urban areas. We extend the flying sidekick traveling salesman problem (FSTSP) by incorporating meteorological factors, specifically wind, to assess drone delivery efficiency in varying conditions. Our results show that while drones significantly reduce greenhouse gas emissions compared to traditional delivery vehicles, their contribution to noise pollution remains a concern. This research highlights the environmental advantages of using drones, particularly in reducing CO2 emissions, while also emphasizing the need for further investigation into mitigating their noise impact. By evaluating the trade-offs between air and noise pollution, this study provides insights into developing more sustainable, health-conscious delivery models that contribute to smart city initiatives. The findings inform policy, urban planning, and logistics strategies aimed at achieving zero pollution goals and improving urban livability.

Smart CitiesVol. 7(6)
Istanbul Technical University (TR)
Istanbul Teknik Üniversitesi
Sustainable cities and communities
Openalex Percentile: Top 21%
Transportation and Mobility Innovations
1.22
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Drone-Assisted Last-Mile Delivery Under Windy Conditions: Zero Pollution Solutions — Şeyda Serdarasan, Özlem Gürel · Smart Cities (2024) | TGRS Research Map | TGRS