The purpose of this dataset is to enable the replication and interpretation of the simulation research results presented in the article: Kłodawski, M., Lewczuk, K., & Gao, J. (2025). Last-Mile Delivery Energy Consumption: Insights from a Simulation-Based Analysis. In Q. Xiaobo, W. Zhang, Y. Liu, & Y. Yiping (Eds.), Proceedings of the 14th Asia-Pacific Conference on Transportation and the Environment (APTE 2025), pp. 176-187. Atlantis Press. https://doi.org/10.2991/978-94-6463-972-8_17 The article presents a simulation-based analysis of energy consumption in last-mile delivery systems. The analysed variants include:- courier-to-customer delivery,- courier-to-parcel-locker delivery with customers collecting packages,- courier-to-parcel-locker delivery with drones assigned to parcel lockers,- courier-to-parcel-locker delivery with drones operating in the whole service area. The dataset contains input data and simulation output tables used to analyse delivery time, distance, energy consumption and CO2 emissions for the considered last-mile delivery variants. 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).