{"help": "https://data.gov.au/data/api/3/action/help_show?name=package_show", "success": true, "result": {"author": "Bureau of Infrastructure and Transport Research Economics", "author_email": null, "contact_point": "bitre@infrastructure.gov.au", "creator_user_id": "bd48346f-b308-421b-b45b-092b2aafb2fc", "duplicate_score": 1, "geospatial_topic": [], "id": "444dc49a-780a-4c2a-840a-0a38cc4be635", "isopen": false, "language": "English", "license_id": "cc-by", "license_title": "Creative Commons Attribution 3.0 Australia", "license_url": "http://creativecommons.org/licenses/by/3.0/au/", "maintainer": null, "maintainer_email": null, "metadata_created": "2021-09-10T00:58:20.250110", "metadata_modified": "2025-05-21T00:27:09.758463", "name": "freight-vehicle-congestion-in-australia-s-5-major-cities", "notes": "These files provide more detailed outputs from BITRE's 'Freight vehicle congestion in Australia\u2019s five major cities - 2019' publication (see: https://www.bitre.gov.au/publications/2021/freight-vehicle-congestion-australias-five-major-cities-2019), which reported freight vehicle telematics based measures of traffic congestion for freight vehicles on 53 selected routes across Australia\u2019s five mainland state capital cities\u2014Sydney, 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.\r\n\r\nDisclaimers: https://www.infrastructure.gov.au/disclaimers.", "num_resources": 5, "num_tags": 4, "organization": {"id": "f69258fd-cea9-4d43-be76-c320fb1f0938", "name": "bureauofinfrastructuretransportandregionaleconomics", "title": "Bureau of Infrastructure and Transport Research Economics", "type": "organization", "description": "The Bureau of Infrastructure and Transport Research Economics (BITRE) provides economic analysis, research and statistics on infrastructure, transport, and cities issues to inform both Australian Government policy development and wider community understanding. This includes confronting the challenges faced by the Australian Freight and Logistics Network, spanning Road, Rail, Air and Sea freight via the initiation of a National Freight Data Hub (https://datahub.freightaustralia.gov.au/)", "image_url": "2020-10-20-224926.500634NEWBITRE-logo-stacked.gif", "created": "2013-05-12T08:12:24.994457", "is_organization": true, "approval_status": "approved", "state": "active"}, "original_harvest_source": {"site_url": "https://data.gov.au/data/dataset/", "href": "https://data.gov.au/data/dataset/freight-vehicle-congestion-in-australia-s-5-major-cities", "title": "data.gov.au"}, "owner_org": "f69258fd-cea9-4d43-be76-c320fb1f0938", "private": false, "spatial": "{\"type\": \"Point\",\"coordinates\": [137.13828,-28.61389]}", "spatial_coverage": "All Australia", "state": "active", "temporal_coverage_from": "2019-01-01 00:00:00", "title": "Freight Vehicle Congestion in Australia's 5 Major Cities", "type": "dataset", "unpublished": false, "url": null, "version": null, "groups": [{"description": "Developing policy to regulate road, rail and air transportation systems. Planning and managing schemes for the movement of people or freight. Monitoring the safety of vehicles and their operators. Providing resources for the development of transport infrastructure.\r\n\r\nIncludes components listed at http://agift.naa.gov.au/000015.htm", "display_name": "Transport", "id": "29fe1336-5109-464d-b6f1-743b8dd772c6", "image_display_url": "", "name": "transport", "title": "Transport"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2021-12-16T23:22:16.758535", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "There are four files containing the data displayed in the BITRE Congestion Report, three csv files and one geojson. The file containing route parameters can be found at the github repository at github.com/bitre-telematics/congestion.\r\nThe three files are:\r\nroute_metrics.csv: Containing summary data on each route, with the fields\r\n  route_name - name of route in report\r\n  min median travel time - the lowest median travel time (by hour) for the route\r\n  max median travel time - the highest median traveltime (by hour) for the route\r\n  Peak time to best ratio - The ratio of longest to shortest median time\r\n  min iq travel time - the interquartile range width for the hour in which is was most narrow\r\n  max iq travel time - the interquartile range width for the hour in which is was most wide\r\n  Peak iq to best ratio - the ratio of the widest to most narrow iq ranges\r\n  min median travel hour - the hour of day (from 0 to 23) when median travel times were least\r\n  max median travel hour - the hour of day (from 0 to 23) when median travel times were greatest\r\n  min iq travel hour - the hour of day for which the iq range was narrowest\r\n  max iq travel hour - the hour of day for which the iq range was greatest\r\n  total obvs - the number of vehicle observations used to calculate all time\r\n  Mean excess time ratio - the arithmetic mean of the ratio, by hour, of travel times to the best travel time\r\n  Mean excess time ratio - weighted - the arithmetic mean of the ratio, by hour, of travel times to the best travel time, weighted by observations in that   hour - hour of the day (from 0 to 23)\r\n  Mean excess iq ratio - the arithmetic mean of the ratio, by hour, of iq ranges to the best iq range\r\n  Mean excess iq ratio - weighted - the arithmetic mean of the ratio, by hour, of iq ranges to the best iq range, weighted by observations in that hour\r\n  distance - the length of the route in metres\r\n\r\nroute_times.csv: Containing data for each hour, as graphed in the report, with the fields\r\n  route_name - name of route\r\n  hour - hour of the day (from 0 to 23)\r\n  LQ_est - the travel time at the lowest quartile of speeds (that is the upper quartile of travel times) in seconds\r\n  med_est - the travel time at the median travel speeds in seconds\r\n  UQ_est - the travel time at the upper quartile of speeds (that is the lower quartile of travel times) in seconds\r\n  LQ_est_char, med_est_char, UQ_est_char - the above but in human readable format\r\n  n_obvs - the number of vehicle observations used to caculate the speeds for that hour\r\n\r\nsegment_summary.csv: containing summaries of the segments and their speeds used to calculate travel times\r\n  route_name - the name of the route this data was generated for\r\n  osm_id - an Open Street Map unqiue indentifier, valid at least at time of publication. A segment may appear in more than one route.\r\n  hour - hour of day (from 0 to 23)\r\n  n_obvs - the number of vehicle observations available for that hour and segment. This may be 0 in some cases in which case alternate methods were used to assume a distribution of speeds\r\n  speed_limit - the speed limit. This report assumes all vehicles obey the speed limit. This was taken from OpenStreetMap where available and assumed based on road class and observed speed in others.\r\n  UQ - the upper quartile of speed (kph)\r\n  median - the median speed (kph)\r\n  LQ - the lower quartile of speed (sph)\r\n  distance - the distance traversed on this segment by the route - a segment may be used for different lengths on different routes\r\n\r\nThe file geometries.geojson contains only whole route geometries. Individual segments can be obtained from OpenStreetMap.", "format": "ZIP", "hash": "", "id": "74b970cf-6616-4fe4-8cfb-a8a6fbc7ed42", "last_modified": "2021-12-16T00:00:00", "metadata_modified": "2023-06-09T00:24:31.980400", "mimetype": "application/zip", "mimetype_inner": null, "name": "2019 Congestion Report Data", "package_id": "444dc49a-780a-4c2a-840a-0a38cc4be635", "position": 0, "resource_type": null, "size": 5001793, "state": "active", "url": "https://data.gov.au/data/dataset/444dc49a-780a-4c2a-840a-0a38cc4be635/resource/74b970cf-6616-4fe4-8cfb-a8a6fbc7ed42/download/2019-congestion-report-data.zip", "url_type": "upload", "wms_layer": "", "zip_extract": false}, {"cache_last_updated": null, "cache_url": null, "ckan_url": "https://data.gov.au", "created": "2021-12-16T23:15:58.688940", "datastore_active": true, "datastore_contains_all_records_of_source_file": true, "description": "There are five files containing the data displayed in the BITRE Congestion Report, three csv files and one geojson. The file containing route parameters can be found at the github repository at github.com/bitre-telematics/congestion.\r\nThe five files are:\r\nroute_metrics.csv: Containing summary data on each route, with the fields\r\n  route_name - name of route in report\r\n  min median travel time - the lowest median travel time (by hour) for the route\r\n  max median travel time - the highest median traveltime (by hour) for the route\r\n  Peak time to best ratio - The ratio of longest to shortest median time\r\n  min iq travel time - the interquartile range width for the hour in which is was most narrow\r\n  max iq travel time - the interquartile range width for the hour in which is was most wide\r\n  Peak iq to best ratio - the ratio of the widest to most narrow iq ranges\r\n  min median travel hour - the hour of day (from 0 to 23) when median travel times were least\r\n  max median travel hour - the hour of day (from 0 to 23) when median travel times were greatest\r\n  min iq travel hour - the hour of day for which the iq range was narrowest\r\n  max iq travel hour - the hour of day for which the iq range was greatest\r\n  total obvs - the number of vehicle observations used to calculate all time\r\n  Mean excess time ratio - the arithmetic mean of the ratio, by hour, of travel times to the best travel time\r\n  Mean excess time ratio - weighted - the arithmetic mean of the ratio, by hour, of travel times to the best travel time, weighted by observations in that   hour - hour of the day (from 0 to 23)\r\n  Mean excess iq ratio - the arithmetic mean of the ratio, by hour, of iq ranges to the best iq range\r\n  Mean excess iq ratio - weighted - the arithmetic mean of the ratio, by hour, of iq ranges to the best iq range, weighted by observations in that hour\r\n  distance - the length of the route in metres\r\n\r\nroute_times.csv: Containing data for each hour, as graphed in the report, with the fields\r\n  route_name - name of route\r\n  hour - hour of the day (from 0 to 23)\r\n  LQ_est - the travel time at the lowest quartile of speeds (that is the upper quartile of travel times) in seconds\r\n  med_est - the travel time at the median travel speeds in seconds\r\n  UQ_est - the travel time at the upper quartile of speeds (that is the lower quartile of travel times) in seconds\r\n  LQ_est_char, med_est_char, UQ_est_char - the above but in human readable format\r\n  n_obvs - the number of vehicle observations used to caculate the speeds for that hour\r\n\r\nsegment_summary.csv: containing summaries of the segments and their speeds used to calculate travel times\r\n  route_name - the name of the route this data was generated for\r\n  osm_id - an Open Street Map unqiue indentifier, valid at least at time of publication. A segment may appear in more than one route.\r\n  hour - hour of day (from 0 to 23)\r\n  n_obvs - the number of vehicle observations available for that hour and segment. This may be 0 in some cases in which case alternate methods were used to assume a distribution of speeds\r\n  speed_limit - the speed limit. This report assumes all vehicles obey the speed limit. This was taken from OpenStreetMap where available and assumed based on road class and observed speed in others.\r\n  UQ - the upper quartile of speed (kph)\r\n  median - the median speed (kph)\r\n  LQ - the lower quartile of speed (sph)\r\n  distance - the distance traversed on this segment by the route - a segment may be used for different lengths on different routes\r\n\r\nThe file geometries.csv contains only whole route geometries. Individual segments can be obtained from OpenStreetMap.\r\n\r\ncity_wide_indices_2020.csv: contains index values for the 5 cities, indexed to year 2019\r\n  mean_excess_time - the mean of the METR (as in route_metrics.csv) weighted by the product of total observations and the distance of the trip\r\n  mean_uncert_odw - the mean of the MEUR (as in route_metrics.csv) weighted by the product of total observations and the distance of the trip\r\n  mean_excess_time_odw_hw - the mean of the METR - weighted (as in route_metrics.csv) weighted by the product of total observations and the distance of the trip\r\n  mean_uncert_odw_hw - the mean of the MEUR - weighted (as in route_metrics.csv) weighted by the product of total observations and the distance of the trip\r\n  year - the year of the observation", "format": "CSV", "hash": "2c8129db154be863553deb7152f1402e", "id": "ce8ddaeb-587f-4412-b63d-f5a000aafab0", "ignore_hash": false, "last_modified": "2021-12-16T00:00:00", "metadata_modified": "2023-06-09T00:24:31.980528", "mimetype": "application/zip", "mimetype_inner": null, "name": "2020 Congestion Report Data", "original_url": "https://data.gov.au/data/dataset/444dc49a-780a-4c2a-840a-0a38cc4be635/resource/ce8ddaeb-587f-4412-b63d-f5a000aafab0/download/congestion_2020.zip", "package_id": "444dc49a-780a-4c2a-840a-0a38cc4be635", "position": 1, "resource_id": "ce8ddaeb-587f-4412-b63d-f5a000aafab0", "resource_type": null, "set_url_type": false, "size": 4938320, "state": "active", "task_created": "2023-06-09 00:23:46.639370", "url": "https://data.gov.au/data/dataset/444dc49a-780a-4c2a-840a-0a38cc4be635/resource/ce8ddaeb-587f-4412-b63d-f5a000aafab0/download/congestion_2020.zip", "url_type": "upload", "wms_layer": "", "zip_extract": false}, {"cache_last_updated": null, "cache_url": null, "created": "2022-06-24T02:28:11.182452", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "", "format": ".csv", "hash": "", "id": "6485a719-baf7-467a-86b0-2cd270768b30", "last_modified": "2022-06-24T00:00:00", "metadata_modified": "2023-06-09T00:24:31.980631", "mimetype": "application/zip", "mimetype_inner": null, "name": "2021 Congestion Report Data", "package_id": "444dc49a-780a-4c2a-840a-0a38cc4be635", "position": 2, "resource_type": null, "size": 6118671, "state": "active", "url": "https://data.gov.au/data/dataset/444dc49a-780a-4c2a-840a-0a38cc4be635/resource/6485a719-baf7-467a-86b0-2cd270768b30/download/congestion_2021.zip", "url_type": "upload", "zip_extract": false}, {"cache_last_updated": null, "cache_url": null, "created": "2023-05-16T05:29:54.702799", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "", "format": "ZIP", "hash": "", "id": "674e10d7-74a2-4802-8b3a-98f7d802a3b3", "last_modified": "2023-05-16T00:00:00", "metadata_modified": "2025-02-26T23:20:07.328670", "mimetype": "application/zip", "mimetype_inner": null, "name": "2022 Congestion Report Data.zip", "package_id": "444dc49a-780a-4c2a-840a-0a38cc4be635", "position": 3, "resource_type": null, "size": 248691, "state": "active", "url": "https://data.gov.au/data/dataset/444dc49a-780a-4c2a-840a-0a38cc4be635/resource/674e10d7-74a2-4802-8b3a-98f7d802a3b3/download/2022-congestion-report-data.zip", "url_type": "upload", "zip_extract": false}, {"cache_last_updated": null, "cache_url": null, "created": "2023-06-09T00:23:46.261943", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "A data annex including 18 routes not included in the 2019 and 2020 routes, and 2 not included in any reports from 2019 to 2022", "format": "ZIP", "hash": "", "id": "84c3cfb3-98e0-44ac-bf82-43754f1077ab", "last_modified": "2023-06-09T00:00:00", "metadata_modified": "2023-06-09T00:24:31.980830", "mimetype": "application/zip", "mimetype_inner": null, "name": "", "package_id": "444dc49a-780a-4c2a-840a-0a38cc4be635", "position": 4, "resource_type": null, "size": 149624, "state": "active", "url": "https://data.gov.au/data/dataset/444dc49a-780a-4c2a-840a-0a38cc4be635/resource/84c3cfb3-98e0-44ac-bf82-43754f1077ab/download/data-annex-2019-2022.zip", "url_type": "upload", "zip_extract": false}], "tags": [{"display_name": "BITRE", "id": "5447529b-824d-49a9-ac0f-2e460e42fc36", "name": "BITRE", "state": "active", "vocabulary_id": null}, {"display_name": "Transportation and Freight Services not elsewhere classified", "id": "341e0bf5-f408-4169-ab33-fcd73b1334bd", "name": "Transportation and Freight Services not elsewhere classified", "state": "active", "vocabulary_id": null}, {"display_name": "congestion", "id": "89c4e777-8fd2-4194-812c-cc906944b2be", "name": "congestion", "state": "active", "vocabulary_id": null}, {"display_name": "freight vehicle congestion", "id": "2d193258-b231-446e-8297-70447e51e9c8", "name": "freight vehicle congestion", "state": "active", "vocabulary_id": null}], "relationships_as_subject": [], "relationships_as_object": []}}