Digital boundaries of this dataset are for Australia’s Working Zones (WZs), which was derived by ITEE (eResearch Group), University of Queensland. Statistical local areas (SLAs) were aggregated up to form WZ boundaries using “SLA_code” and “WZ_code” in the table of SLA_WZ_classification.xlsx downloaded from BITRE website. The following variable was derived by BITRE: - 2006 data on share of employed residents working in the same WZ as live

aviation_statistics domestic_aviation_activity regional_aviation_activity transport_economics transport_planning

BITRE variable of Statistical Local Area in Australia (2006). The following variable was derived by BITRE using 2006 census: 2006 data on share of employed residents working in the same SLA as live.

This data was sourced from the Bureau of Infrastructure, Transport and Regional Economics and shows baseline modal share projections for total urban travel, 1945 - 2030. From: Traffic and congestion cost trends for Australian capital cities, information sheet 74.

Data used to profuece Figure BLT5 in Built environment, SoE 2016. See; https://soe.environment.gov.au/theme/built-environment/topic/2016/increased-traffic#built-environment-figure-BLT5

For more information see http://bitre.gov.au/publications/2015/is_074.aspx

Townsville Airport Passenger Numbers sourced from Bureau of Infrastructure and Transport Research Economics (BITRE)

Domestic freight by transport mode – total bulk and non-bulk. Measures of domestic freight moved by mode are provided in tonne kilometres, where data are available. Source: • Bureau of Infrastructure, Transport and Regional Economics (BITRE) estimates • BITRE 2015, Traffic and congestion cost trends for Australian capital cities Information Sheet 74, Canberra • BITRE 2017, TrainLine 5, Statistical Report, Canberra • Australian Bureau of Statistics (ABS) 2015b, Survey of Motor Vehicle Use, Australia, ABS cat. no. 9208.0, Canberra

Domestic freight by transport mode – total bulk and non-bulk. Measures of domestic freight moved by mode are provided in tonne kilometres, where data are available. Source: • Bureau of …Show full descriptionDomestic freight by transport mode – total bulk and non-bulk. Measures of domestic freight moved by mode are provided in tonne kilometres, where data are available. Source: • Bureau of Infrastructure, Transport and Regional Economics (BITRE) estimates • BITRE 2015, Traffic and congestion cost trends for Australian capital cities Information Sheet 74, Canberra • BITRE 2017, TrainLine 5, Statistical Report, Canberra • Australian Bureau of Statistics (ABS) 2015b, Survey of Motor Vehicle Use, Australia, ABS cat. no. 9208.0, Canberra

airport_traffic domestic_passengers international_passengers

Cheapest available return fare based on a departure date of the last Thursday of the month with a return date two weeks after the departure date. Data collected by the BITRE from airline web sites …Show full descriptionCheapest available return fare based on a departure date of the last Thursday of the month with a return date two weeks after the departure date. Data collected by the BITRE from airline web sites three weeks prior to departure date.

Billions of passenger kilometres travelled in Australian capital cities, combined light and heavy rail, financial years 1990-91 to 2013-2014. This data was sourced from the Bureau of Infrastructure, Transport and Regional Economics. For more information see https://bitre.gov.au/publications/2015/files/BITRE_yearbook_2015_full_report.pdf

Figure BLT26 in Built environment. See https://soe.environment.gov.au/theme/built-environment/topic/2016/livability-transport#built-environment-figure-BLT26

Bureau of Infrastructure, Transport and Regional Economics data containing upper baseline projections of avoidable social costs of congestion, for the period 1990 to 2030

For more information see http://bitre.gov.au/publications/2015/files/is_074.pdf

Data used to produce Figure BLT6 in Built environment, SoE 2016. See https://soe.environment.gov.au/theme/built-environment/topic/2016/increased-traffic#built-environment-figure-BLT6

The average commuting distance in kilometres by place of residence by major cities 2011. This information provided by the Bureau of Infrastructure, Transport and Regional Economics (BITRE). Further information can be found at www.bitre.gov.au. Australia’s commuting distance:cities and regions.\r \r Figure BLT30 in Built environment. See; https://soe.environment.gov.au/theme/built-environment/topic/2016/livability-transport#built-environment-figure-BLT30

This data was sourced from the Bureau of Infrastructure, Transport and Regional Economics. For more information see https://bitre.gov.au/publications/2015/files/BITRE_yearbook_2015_full_report.pdf

Dataset used to produce Figure BLT25 in Built environment. See; https://soe.environment.gov.au/theme/built-environment/topic/2016/livability-transport#built-environment-figure-BLT25

Billions of passenger kms. This data was sourced from the Bureau of Infrastructure, Transport and Regional Economics displaying public transport in billions of kilometres by year.

For more information see http://bitre.gov.au/publications/2014/is_059.aspx.

Figure BLT33 in Built environment. See; https://soe.environment.gov.au/theme/built-environment/topic/2016/livability-transport#built-environment-figure-BLT33

This data is based on national emissions estimates released in the Bureau of Infrastructure, Transport, and Regional Economics (BITRE) Australian Infrastructure Statistics-Yearbook 2014, https://bitre.gov.au/publications/2014/yearbook_2014.aspx.

Units are as a percentage of emission levels. The word 'metropolitan' refers to the eight capital cities: Sydney, Melbourne, Brisbane, Adelaide, Perth, Hobart, Darwin and Canberra.

Data used to produce figure ATM41 of the 2016 SoE. See https://soe.environment.gov.au/theme/ambient-air-quality/topic/2016/management-sources-pollution#ambient-air-quality-figure-ATM41

Abstract This publication is the fourth in an annual series that uses vehicle telematics data to provide measures of traffic congestion for freight vehicles for selected routes across Australia’s five mainland state capital cities—Sydney, Melbourne, Brisbane, Adelaide and Perth. The selected routes comprise the major motorways, highways and arterial roads within each city that service both passenger and freight vehicles. This release includes measures for 71 routes. The estimates presented in this report cover calendar year 2022, and include comparisons with 2021 traffic congestion levels. This is the first year since the initial report, in 2019, where none of Australia’s capital cities experienced major lockdowns as part of the COVID-19 pandemic, and city-wide congestion levels have more or less returned to pre-pandemic levels. In particular, city-wide vehicle congestion, as measured by the mean excess time index, increased (worsened) in Sydney, Melbourne and, to a lesser extent, Adelaide between 2021 and 2022, but decreased (improved) in Brisbane and Perth. Many individual motorway routes exhibit increased congestion at morning and afternoon peaks in 2022, compared to 2020 and 2021. On some routes measured congestion is still lower than the pre-pandemic results in 2019. On other routes, congestion peaks exceed 2019 levels. Copies of the data displayed in the report are available here and on data.gov.au. Currency Calendar year 2022. Date modified: 30 June 2022 Modification frequency: Annually Data Extent Spatial Extent

West Bounding Longitude : 60.879271° South Bounding Latitude : -69.477778° East Bounding Longitude : 167.964895° North Bounding Latitude : -9.512017°

Temporal Extent From 1 January 2022 to 31 December 2022 Source Information Heavy vehicle median speed is provided by the Bureau of Infrastructure and Transport Research Economics. Road segments are OpenStreetMap data and are licensed under the Open Database 1.0 License. See www.openstreetmap.org for details about the project.

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Lineage Statement BITRE used freight telematics data to collate speeds experienced by freight vehicles on individual road segments. A sample of heavy vehicles was used to calculate median travel time for each road segment. Open Street Map (OSM) road segments were used. The methodology used to process the data is available in the BITRE github repository and on the National Freight Data Hub data catalogue. A snapshot of the OSM data was taken in the January of the following year of analysis as it is the best representation of Australian roads as they were in that year. Only road types/segments of "primary", "primary_link", "motorway", "motorway_link", "trunk" and "trunk_link" are associated with congestion statistics and are included the geoJSON files.' Data Dictionary All Layers

Attribute Name Description

osm_id Open Street Map unique feature identifier

type Road segment type as idenitifed in the Open Street Map

name Road segment name

hour or weekday or month Hour of the day or day of the week or month of the year for which median speed was determined

median_speed Median speed of heavy vehicles

Detailed descriptions of these attributes and the abbreviations and values used, including the methodology used to determine heavy vehicle median speed, sample size etc, can be found here. Point of Contact Organisation Name: Bureau of Infrastructure and Transport Research Economics Email address: telematics@infrastructure.gov.au Online Resource: Freight vehicle congestion in Australia's five major cities – 2022

TrainLine is a collaborative report between the Australasian Railway Association (ARA) and BITRE. It is a further development of the previous rail freight performance publications series.

The report provides an overview of freight, urban and non-urban passenger rail. Traffic levels; infrastructure and rolling stock provision; and railway performance are considered.

Abstract This publication is the fourth in an annual series that uses vehicle telematics data to provide measures of traffic congestion for freight vehicles for selected routes across Australia’s five mainland state capital cities—Sydney, Melbourne, Brisbane, Adelaide and Perth. The selected routes comprise the major motorways, highways and arterial roads within each city that service both passenger and freight vehicles. This release includes measures for 71 routes. The estimates presented in this report cover calendar year 2022, and include comparisons with 2021 traffic congestion levels. This is the first year since the initial report, in 2019, where none of Australia’s capital cities experienced major lockdowns as part of the COVID-19 pandemic, and city-wide congestion levels have more or less returned to pre-pandemic levels. In particular, city-wide vehicle congestion, as measured by the mean excess time index, increased (worsened) in Sydney, Melbourne and, to a lesser extent, Adelaide between 2021 and 2022, but decreased (improved) in Brisbane and Perth. Many individual motorway routes exhibit increased congestion at morning and afternoon peaks in 2022, compared to 2020 and 2021. On some routes measured congestion is still lower than the pre-pandemic results in 2019. On other routes, congestion peaks exceed 2019 levels. Copies of the data displayed in the report are available here and on data.gov.au. Currency Calendar year 2022. Date modified: 30 June 2022 Modification frequency: Annually Data Extent Spatial Extent

West Bounding Longitude : 60.879271° South Bounding Latitude : -69.477778° East Bounding Longitude : 167.964895° North Bounding Latitude : -9.512017°

Temporal Extent From 1 January 2022 to 31 December 2022 Source Information Heavy vehicle median speed is provided by the Bureau of Infrastructure and Transport Research Economics. Road segments are OpenStreetMap data and are licensed under the Open Database 1.0 License. See www.openstreetmap.org for details about the project.

Map Server

Metadata

Public listing

Lineage Statement BITRE used freight telematics data to collate speeds experienced by freight vehicles on individual road segments. A sample of heavy vehicles was used to calculate median travel time for each road segment. Open Street Map (OSM) road segments were used. The methodology used to process the data is available in the BITRE github repository and on the National Freight Data Hub data catalogue. A snapshot of the OSM data was taken in the January of the following year of analysis as it is the best representation of Australian roads as they were in that year. Only road types/segments of "primary", "primary_link", "motorway", "motorway_link", "trunk" and "trunk_link" are associated with congestion statistics and are included the geoJSON files.' Data Dictionary All Layers

Attribute Name Description

osm_id Open Street Map unique feature identifier

type Road segment type as idenitifed in the Open Street Map

name Road segment name

hour or weekday or month Hour of the day or day of the week or month of the year for which median speed was determined

median_speed Median speed of heavy vehicles

Detailed descriptions of these attributes and the abbreviations and values used, including the methodology used to determine heavy vehicle median speed, sample size etc, can be found here. Point of Contact Organisation Name: Bureau of Infrastructure and Transport Research Economics Email address: telematics@infrastructure.gov.au Online Resource: Freight vehicle congestion in Australia's five major cities – 2022

This report analyses the total domestic freight task of rail, road and coastal shipping operators within Australia. Domestic freight task is measured in billion tonne kilometres (BTK) per financial year. BTK represents the number of billion tonnes of freight moved by a vehicle, multiplied by the number of kilometres travelled. The data excludes freight carried by airfreight or pipeline operators. Data for this report is sourced from the Bureau of Infrastructure, Transport and Research Economics (BITRE).

Data to produce graph in Marine Chapter of 2016 State of the Environment Report. Compiled by Bureau of Infrastructure Transport and Regional Economics from Lloyds List Intelligence data. See http://b…Show full descriptionData to produce graph in Marine Chapter of 2016 State of the Environment Report. Compiled by Bureau of Infrastructure Transport and Regional Economics from Lloyds List Intelligence data. See http://bitre.gov.au/publications/2015/yearbook_2015.aspx for details Data used to produce figure MAR17 SoE2016. See; https://soe.environment.gov.au/theme/marine-environment/topic/2016/marine-vessel-activity#marine-environment-figure-17