Abstract
The major geographical dataset is the SA Road Network in Geocentric Datum of Australia 2020 (GDA2020).The simulation is based on the Truck Movement by Local Government Area (LGA dataset(https://datahub.freightaustralia.gov.au/insights/truck-movements-by-lga). This dataset is visualised by National Freight Data Hub (NFDH) with data provided by Transport Certification Australia (TCA) which captures data from 1 July 2019 to 30 June 2020, comprising 16,604,358 observations of trucking between 518 LGAs in Australia. The simulation is conducted based on this observational data, according to the departure and destination coordinating and the truck type. The maximum range data for different truck types is obtained from EV truck brochures by Ms Marceline Overduin from various leading manufacturers.According to the truck movement by LGA data, Figure 1 illustrates the inbound (with the state as destination without considering the origin) and outbound (with the state as origin without considering destination) data.It shows that SA is the fourth largest trucking state in Australia. The annual inbound and outbound truck number for SA is 0.986 million and 1.022 million respectively. This is approximately 40% of Queensland,23% of VIC and 13% of NSW data.
| Original language | English |
|---|---|
| Place of Publication | Adelaide, South Australia |
| Publisher | Government of South Australia, Department for Energy and Mining |
| Commissioning body | Department for Energy and Mining, Government of South Australia |
| Number of pages | 27 |
| Publication status | Published - 2023 |
| Externally published | Yes |
Keywords
- renewable energy
- recharge stations
- geographical dataset
- SA Road Network in Geocentric Datum of Australia 2020 (GDA2020)
- Local Government Area (LGA)
- truck movement
- trucking observations
- Australia
