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Outer Urban Public Transport Maps for Greater Sydney
This data is part of the strategic transport modelling undertaken for Outer Urban Public Transport Maps, which was released in October 2018. The Outer Urban Public Transport Maps showcases through interactive maps, the comparative public transport network performance for Greater Sydney. The following resources are available, links have been provided that direct you to the current source of data. Walking access to medium- to high-frequency public transport This layer presents the proportion of people within walking distance to high-medium frequency public transport stops/stations in 2017. Walking distance is defined as 800 metres for heavy rail, and 400 metres for all other modes. High-frequency public transport is defined as having at least four services per hour during AM peak. This analysis was performed using 2017 timetables. Public transport travel times to Sydney CBD This layer presents travel times, by public transport during AM peak, to a series of destinations. This analysis was performed using 2017 public transport timetables. The layers represents the geographical extent of the inner, middle, and outer sectors used to perform the analysis in the report. Public transport service frequency This layer presents public transport stop frequency during weekday AM peak (8-9am) and weekday off peak (11am-12am). This analysis was performed using 2017 public transport timetables.
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Infrastructure Australia - (Outer Urban PT) Percentage of population within walking distance to high-medium frequency public transport
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This is part of analysis from [Outer Urban Public Transport](https://www.infrastructureaustralia.gov.au/publications/outer-urban-public-transport-improving-accessibility-lower-density-areas), which was released in October 2018. This layer presents the proportion of people within walking distance to high-medium frequency public transport stops/stations in 2017. Walking distance is defined as 800 metres for heavy rail, and 400 metres for all other modes. High-frequency public transport is defined as having at least four services per hour during AM peak. This analysis was performed using 2017 timetables. See pages 80-81 of the report for a detailed explanation of methodology.
Infrastructure Australia - (Outer Urban PT) Inner, middle and outer sector boundaries
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This is part of analysis from [Outer Urban Public Transport](https://www.infrastructureaustralia.gov.au/publications/outer-urban-public-transport-improving-accessibility-lower-density-areas), which was released in October 2018. This layer represents the geographical extent of the inner, middle, and outer sectors used to perform the analysis in the report.
Urban Transport Crowding Maps
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This data is part of the strategic transport modelling undertaken for Urban Transport Crowding and Congestion, a supplementary report of the Australian Infrastructure Audit 2019. The report looks at historical data from 2016, and also provides a projection of what crowding on buses and suburban trains could look like in 2031, if infrastructure investment do not keep up with the pace of demand. Network performance in Sydney, the Hunter and Illawarra showcases their findings as interactive maps. The following resources are available, links will be provided that lead you directly to the current source of data. Crowding on buses * Crowding on buses during 2016 AM peak * Crowding on buses (projected) during 2031 AM peak * Crowding on buses during 2016 PM peak * Crowding on buses (projected) during 2031 PM peak Crowding on suburban trains * Crowding on suburban trains during 2016 AM peak * Crowding on suburban trains (projected) during 2031 AM peak * Crowding on suburban trains during 2016 PM peak * Crowding on suburban trains (projected) during 2031 PM peak
Infrastructure Australia - (Outer Urban PT) Public transport services per hour during 2017 weekend off peak
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This is part of analysis from [Outer Urban Public Transport](https://www.infrastructureaustralia.gov.au/publications/outer-urban-public-transport-improving-accessibility-lower-density-areas), which was released in October 2018. This layer presents public transport stop frequency during weekend off peak (11am-12pm). This analysis was performed using 2017 public transport timetables. See pages 80-81 of the report for a detailed explanation of methodology.
Strategic Measure Aggregated Sidewalk Construction Data
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This dataset shows new sidewalk added to the City of Austin's network by calendar year. Data in this table is limited to the full purpose jurisdiction of the City of Austin as of publication date. Sidewalk construction comes from many sources, including but not limited to the City of Austin, counties, state agencies, and private developers. Existing data does not support separating out city and non-city construction. This dataset supports the SD23 performance measure M.C.6a: Percent of missing sidewalks completed. Detailed sidewalk segment data is available in the dataset Strategic Measure_Sidewalk Segment Data. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/Percentage-of-Missing-Sidewalk-Network-Completed/ffkw-wkiv/
Strategic Measure Sidewalk Segment Data
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This dataset shows detailed data for sidewalk network segments within the full purpose jurisdiction of the City of Austin. It includes constructed ('Existing') and planned ('Absent') sidewalk segments for the network as described in the Sidewalk Master Plan adopted by the Austin City Council in June 2016. Data in this dataset may change in the future following sidewalk plan updates, which may change the composition of the planned sidewalk network. This dataset supports two SD23 performance measures: M.C.6a and HE.C.5. Data showing calendar year construction can be found in the dataset Strategic Measure_Aggregated Sidewalk Construction Data.
Strategic Measure Active Transport Construction Data
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This dataset contains segment-level data for construction of sidewalks and urban trails within the full purpose jurisdiction of the City of Austin beginning in calendar year 2017. This dataset supports SD23 performance measure HE.C.5: Number and percentage of linear miles of newly constructed sidewalks and urban trails that lie within census tracts with no low levels of leisure-time physical activity among adults aged 18 years or older. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/22ei-wafp More detailed data for urban trail segments can be found in the dataset Strategic Measure_Urban Trails Segment Data. More details data for sidewalk segments can be found in the dataset Strategic Measure_Sidewalk Segment Data.
Strategic Measure Sidewalk Condition Data Aggregated
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This dataset contains data about the conditions of sidewalks maintained by the City of Austin Public Works Department, aggregated by fiscal year. It does not include sidewalks maintained by private parties or other government entities. This dataset is used to support related measures in the City of Austin's Strategic Directions 2023 dashboard. This network currently contains about 2700 miles of sidewalks, of which 616 miles have been assessed. Condition assessment is a manual process, requiring people to walk the sidewalks, measure their conditions, and record observations and measurements in a cloud database that is tied to a map of the sidewalks. This dataset describes conditions as of the FY2019 assessment, which includes all high priority and very high priority sidewalks as described in the City of Austin Sidewalk Plan adopted in June 2016. Lower priority sidewalks are present in the dataset, but without an assessment of their condition. Assessment of the remaining part of the network should be completed by the conclusion of calendar year 2021. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/t3ve-rx4s
Strategic Measures Commute to work by City of Austin employees
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This dataset supports measure M.A.3 of SD 2023. The source of the data is the Listening to the Workforce Survey, an annual survey conducted by the City of Austin of it's employees. Each row represents the overall average mode split among City of Austin employees based on the responses to the survey. This dataset can be used to understand the trend in predicted and actual average travel time. View more details and insights related to this measure on the story page : https://data.austintexas.gov/stories/s/39pk-y8ma