Dataset for Method for Delivery Planning in Urban Areas with Environmental Aspects

The purpose of this dataset is to enable the replication of the research results presented in the article: Michał Lasota, Aleksandra Zabielska, Marianna Jacyna, Piotr Gołębiowski, Renata Żochowska, Mariusz Wasiak. Method for Delivery Planning in Urban Areas with Environmental Aspects. Sustainability 2024, 16(4), 1571. https://doi.org/10.3390/su16041571 - published online: 2024-02-13, which a method of large-criteria decision-making support was developed in the field of urban supply planning, taking into account the minimization of harmful compound emissions.

Dataset contains:

Readme.txt: description of the dataset

InputData.xlsx: Contains the input data in the model. The data is presented in three tables.

OutputOptimization.xlsx: Contains the output optimization data. The data is prsented in four tables.

OutputSummary.xlsx: Contains contains the final results of the aggregated variable.

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).

本数据集旨在复现论文《考虑环境维度的城市区域配送规划方法》的研究成果，该论文作者为Michał Lasota、Aleksandra Zabielska、Marianna Jacyna、Piotr Gołębiowski、Renata Żochowska、Mariusz Wasiak，发表于《Sustainability》2024年第16卷第4期第1571页，在线发表时间为2024年2月13日，DOI链接为https://doi.org/10.3390/su16041571。本研究针对城市配送规划领域，提出了一种兼顾有害污染物排放最小化的多准则决策支持方法。

本数据集包含以下文件：
1. Readme.txt：数据集说明文档
2. InputData.xlsx：模型输入数据文件，内含三张数据表
3. OutputOptimization.xlsx：优化输出数据文件，内含四张数据表
4. OutputSummary.xlsx：聚合变量最终结果文件

本数据集依托E-LaaS（Energy optimal urban logistics As A Service，能源优化型城市物流即服务）项目创建。该项目隶属于由JPI Urban Europe与中国国家自然科学基金委员会（NSFC）联合发起的ERA-NET Cofund城市可达性与联通性计划（ENUAC中国征集项目），并获得欧盟“地平线2020”研究与创新计划资助，资助协议编号为875022。

E-LaaS项目由国际合作联合体共同开展：欧洲区项目协调方为瑞典查尔姆斯理工大学，中国区项目协调方为上海大学；合作成员包括中国清华大学、波兰华沙理工大学；合作伙伴包括瑞典斯德哥尔摩市、瑞典交通管理局（Trafikkontoret）、西班牙ParkUnload公司、波兰Metropolis GZM机构、中国上海市城乡建设和交通委员会，以及瑞典沃尔沃集团卡车技术与运营事业部。

项目资助详情如下：
- 中国区项目由中国国家自然科学基金委员会资助
- 瑞典区项目由瑞典能源署资助
- 波兰区项目由波兰国家科学中心资助（项目编号：2022/04/Y/ST8/00134），配套资助金额为878107.00波兰兹罗提
项目执行周期为2023年4月27日至2026年4月26日，共计36个月。