KEP Logistics Model_Landkreis-Hildesheim

This data set is a logistics model that quantifies the shipment volumes of almost 10,000 recipients in the rural towns of Schulenburg, Nordstemmen and Sarstedt in Hildesheim district based on logistical KEP broadcast data from Q4 2019 and Q1 2020 and establishes a source-target relationship with the three largest resident CEP service providers. Information on the expected shipment quantities per target coordinate is aggregated on a daily basis and is target address specific. The dataset contains the following fields: _tourID [Integer]: Individual identification number of a delivery _DCDistrictC1 [String]: District of the KEP company’s distribution centre with the largest distribution volume in charge of supply _DCDistrictC2 [String]: Locality of the distribution centre of the CEP company responsible for supplying the second largest distribution volume _DCDistrictC3 [String]: Locality of the distribution centre of the CEP company responsible for supplying the third largest distribution volume _DCZipC1 [Integer]: Postal code of the distribution centre of the CEP company with the largest distribution volume in charge of supply _DCZipC2 [Integer]: Postal code of the distribution centre of the CEP company responsible for supply with the second largest distribution volume _DCZipC3 [Integer]: Postal code of the distribution centre responsible for supplying the CEP company with the third largest distribution volume _DCLatC1 [decimal degree]: Latitude of the KEP company’s distribution centre with the largest distribution volume in charge of supply _DCLatC2 [decimal degree]: Latitude of the distribution centre of the CEP company responsible for supplying the second largest distribution volume _DCLatC3 [decimal degree]: Latitude of the distribution centre of the CEP company responsible for supplying the third largest distribution volume _DCLongC1 [decimal degree]: Longitude of the KEP company’s distribution centre with the largest distribution volume in charge of supply _DCLongC2 [decimal degree]: Longitude of the distribution centre of the CEP company responsible for supplying the second largest distribution volume _DCLongC3 [decimal degree]: Longitude of the distribution centre of the CEP company responsible for supplying the third largest distribution volume _shareC1 [Doube]: Percentage share of C1 distribution infrastructure in total distribution volume _shareC2 [Doube]: Percentage share of C2 distribution infrastructure in total distribution volume _shareC3 [Doube]: Percentage of C3 distribution infrastructure in total distribution volume _recipientDistrict [String]: Locality of the delivery recipient _recipientType [String]: Classification of the delivery recipient by building category _recipientZip [Integer]: Postal code of the consignee _recipientLat [decimal degree]: Latitude of the consignee _recipientLong [decimal degree]: Longitude of the consignee _deliveryRate [Double]: Daily delivery frequency per target coordinate and day in parcel quantities The data comes from the mFUND project “Data Modeling for the Use of Autonomous Minibuses in Rural Areas for Combined Transport of Persons and Goods” (Combinom), which deals with data availability for simulation-based mapping and analysis of combined transports in rural areas. Kombinom is funded by the Federal Ministry of Transport and Digital Infrastructure as part of the innovation initiative mFUND. As part of mFUND, the BMVI has been supporting research and development projects on data-based digital applications for mobility 4.0 since 2016. In addition to the financial support, the mFUND supports the networking between actors from politics, business and research as well as access to the data portal mCLOUD with various event formats. More information can be found at www.mfund.de.