The purpose of this dataset is to enable the replication and interpretation of the simulation research results presented in the article
Michał Kłodawski, The use of UAVs in Last-Mile Logistics: opportunities, constraints and potential benefits of Autonomous Drone Delivery Systems (ADDS).

The dataset supports the analysis of last-mile parcel delivery systems with the use of unmanned aerial vehicles (UAVs), with particular attention to demand distribution, parcel-locker locations, wind conditions, UAV speed changes, energy consumption and CO2 emissions.

The dataset includes:
- spatial data describing network nodes and links,
- residential building locations,
- parcel-locker locations,
- parcel demand assigned to buildings and parcel lockers,
- model parameters used in the simulation study,
- wind data used to analyse the influence of wind conditions on UAV operations,
- simulation results for UAV speed under no-wind and wind conditions,
- aggregated comparison of energy consumption and CO2 emissions for different delivery modes.

The dataset was created as part of the E-Laas project (Energy optimal urban logistics As A Service).
Project implemented as part of the call ERA-NET Cofund Urban Accessibility and Connectivity (ENUAC China Call) organized by JPI Urban Europe and the National Natural Science Foundation of China (NSFC). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875022.
 E-Laas project is carried out in an international consortium. Project coordinator in Europe: Chalmers University of Technology (Sweden), project coordinator in China: Shanghai University (China), consortium members: Tsinghua University (China), Warsaw University of Technology (Poland), cooperation partners: Stockholms stad, Trafikkontoret (Sweden), ParkUnload (Spain), Metropolis GZM (Poland), Shanghai Urban-Rural Construction and Transportation Department (China), Volvo Group Trucks Technology and Operations (Sweden).
- The Chinese part of the project is funded by National Natural Science Foundation of China.
- The Swedish part of the project is funded by Swedish Energy Agency.
- The Polish part of the project is funded by the National Science Centre, Poland (project no. 2022/04/Y/ST8/00134). The value of the co-financing is PLN 878,107.00. Project duration 27/04/2023 - 26/04/2026 (36 months).