Outer Urban Public Transport Maps for Greater Sydney
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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.
On-street Car Parking Sensor Data - 2012
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The City of Melbourne has installed in-ground parking bay sensors in most CBD parking bays. These sensors record when a vehicle arrives and when it departs. Each record also includes the parking restriction for the bay and whether the vehicle has overstayed that restriction. This is the data for the 2012 calendar year. Known data issues: 1. There are 1,139,275 records that have the text ‘OLD’ at the end of the restriction in the field named ‘Sign’. This has been investigated and determined the text refers to one of two things, either: · At the time of the parking event the restriction that has been captured is correct but when the data was extracted from the server (July 2017) the restriction had since changed. · (Or) The particular sensor has since been replaced. 2. There are a number of records that have a negative value in the duration in field ‘seconds’. This occurs due to a sensor detecting an arrival time being after the departure time. 3. There are a number of records where the arrival and departure times have not been recorded. If the time has not been recorded the time is calculated from midnight of the arrival day to either midnight of the departure day or to the departure time. Download: Download compressed CSV (1.51GB, 52.5 million rows)