URBANE Thessaloniki LL MASS-GT input data

These datasets are used to generate parcel demand and delivery tours in the Thessaloniki LL. The detailed description can be found below.

Data name

File type

Description

Used by

Network Data

Zones

Shape file

Centroids representing the zonal network of the study area

Parcel demand, Parcel market,

Parcel scheduling

Parcel nodes

Shape file

Point vector showing the depot locations of the courier companies in the network

Parcel demand, Parcel market,

Parcel scheduling

Duration matrix

.csv text

Duration matrix (in seconds) between each combination of the zone

Parcel demand, Parcel market,

Parcel scheduling

Distance matrix

.csv text

Distance matrix (in metres) between each combination of the zone

Parcel demand, Parcel market,

Parcel scheduling

Supply Data

Locker network

.csv text

Locations of the lockers in the network

Parcel market

Departure times of parcels

.csv text

Cumulative probability distribution of departure times (one full day) for the parcel tours

Parcel scheduling

Demand Data

Sociodemographic characteristics

.csv text

Population characteristics in the study area

Parcel demand

Courier market shares

.csv text

Market shares of the courier companies in the network

Parcel demand

Network data

Zones: Represent the centroids of different zones within the study area, serving as the fundamental units for modelling and analysis in parcel demand, market, and scheduling modules.

Parcel nodes: Identify the locations of courier company depots within the network, essential for determining starting points for parcel deliveries in demand, market, and scheduling modules.

Duration matrix: A matrix that provides the travel time in seconds between each pair of zones, crucial for determining travel times in demand generation, market analysis, and scheduling.

Distance matrix: Like the duration matrix but provides the distance in metres between each pair of zones, used for the same purposes as the duration matrix.

Supply data

Locker network: Indicates the positions of lockers available in the network, used primarily in the parcel market module to analyse delivery locker network.

Departure times of parcels: Represent the cumulative probability distribution of parcel departure times throughout a day, used in the parcel scheduling module to simulate the timing of parcel dispatches.

Demand data

Sociodemographic characteristics: Provide information on the population characteristics within the study area, which is used to generate parcel demand based on population distribution and behaviours. These include sociodemographic characteristics of the population such as income and household structure such as number of households and people in the study area.

Courier market shares: Show the market share distribution among different courier companies, impacting the demand module by determining how parcels are allocated among various couriers.