This dataset presents the footprint of Spatial Network Analysis for Multimodal Urban Transport Systems (SNAMUTS) indicators by area. The data spans the year of 2021 and is aggregated to Statistical Area Level 1 (SA1) geographic areas from the 2021 Australian Statistical Geography Standard (ASGS). SNAMUTS Australia is a multiple indicator tool to assess public transport network performance and land use-transport integration in Australia's five largest metropolitan areas (Adelaide, Brisbane, Melbourne, Perth, Sydney), at SA1 level and for specified activity nodes in the census years 2011, 2016 and 2021. SNAMUTS is a decision-making support tool designed to inform strategies for public transport infrastructure and service improvements, land use intensification and overall metropolitan strategic planning. It also allows for timeline and city-to-city comparisons on public transport performance and accessibility indicators between about 30 cities on four continents. SNAMUTS has been developed and refined with funding from the Australian Research Council (DP110104884), the European Science Foundation (COST TU1002), the Cities of Melbourne, Manningham and Perth, internal support through RMIT University, Curtin University and University of Melbourne, the Sustainable Built Environment National Research Centre (SBENRC), AURIN and in-kind support by the University of Porto, Goudappel Coffeng, University of Amsterdam, University of Gothenburg, Norwegian University of Life Sciences, Western Norway University of Applied Sciences, Concordia University and University of Westminster. These are known as the eight key SNAMUTS indicators, they include: - Transfer intensity (degree centrality) - Ease of movement (closeness centrality), - Geographical reach of public transport journeys (30-minute contour catchment) - Spatial concentration of public transport journey paths (betweenness centrality and transfer propensity) - Flexibility of movement (nodal connectivity) - Future-proofness of the network (nodal resilience) - A composite index for overall public transport accessibility. It is based on public transport network and timetable information available publicly through transport agencies (Adelaide Metro, Translink, PTV, Transperth, TfNSW) and ABS census data (usual residential population and journey-to-work destinations) for the three years (2011, 2016, 2021). This data can be viewed in conjunction with the corresponding routes dataset: "SNAMUTS - Route Segment (Polyline) 2021". For more information, please refer to the SNAMUTS website. A full list of SNAMUTS publications can be found at http://www.snamuts.com/publications.html.

This dataset presents the footprint of Spatial Network Analysis for Multimodal Urban Transport Systems (SNAMUTS) indicators by area. The data spans the year of 2011 and is aggregated to Statistical Area Level 1 (SA1) geographic areas from the 2011 Australian Statistical Geography Standard (ASGS). SNAMUTS Australia is a multiple indicator tool to assess public transport network performance and land use-transport integration in Australia's five largest metropolitan areas (Adelaide, Brisbane, Melbourne, Perth, Sydney), at SA1 level and for specified activity nodes in the census years 2011, 2016 and 2021. SNAMUTS is a decision-making support tool designed to inform strategies for public transport infrastructure and service improvements, land use intensification and overall metropolitan strategic planning. It also allows for timeline and city-to-city comparisons on public transport performance and accessibility indicators between about 30 cities on four continents. SNAMUTS has been developed and refined with funding from the Australian Research Council (DP110104884), the European Science Foundation (COST TU1002), the Cities of Melbourne, Manningham and Perth, internal support through RMIT University, Curtin University and University of Melbourne, the Sustainable Built Environment National Research Centre (SBENRC), AURIN and in-kind support by the University of Porto, Goudappel Coffeng, University of Amsterdam, University of Gothenburg, Norwegian University of Life Sciences, Western Norway University of Applied Sciences, Concordia University and University of Westminster. These are known as the eight key SNAMUTS indicators, they include: - Transfer intensity (degree centrality) - Ease of movement (closeness centrality), - Geographical reach of public transport journeys (30-minute contour catchment) - Spatial concentration of public transport journey paths (betweenness centrality and transfer propensity) - Flexibility of movement (nodal connectivity) - Future-proofness of the network (nodal resilience) - A composite index for overall public transport accessibility. It is based on public transport network and timetable information available publicly through transport agencies (Adelaide Metro, Translink, PTV, Transperth, TfNSW) and ABS census data (usual residential population and journey-to-work destinations) for the three years (2011, 2016, 2021). This data can be viewed in conjunction with the corresponding routes dataset: "SNAMUTS - Route Segment (Polyline) 2011". For more information, please refer to the SNAMUTS website. A full list of SNAMUTS publications can be found at http://www.snamuts.com/publications.html.

This dataset estimates human mobility through origin destination (OD) movement flow among the Statistical Area 2 (SA2) regions in New South Wales (NSW), connected by public transport (PT) networks. The SA2 regions of New South Wales connected by Sydney trains (T1-T9) and Metro services (Metro North West line) have been used to evaluate OD movement flows. The passenger OD movement data among different stations (or the station-based OD flow) are first estimated using a statistical estimation methodology. The stations-based OD flow data are then translated into region-based OD matrices using the state-of-art method. For more information please see the original metadata file here. Human mobility data is a key ingredient in various areas and domains of research including epidemiology, policy and administration, criminology, transportation, logistics and supply chains, environmental management and, pollution and contamination. High quality human mobility data provided by telecommunication companies collected from call data records (CDRs) is available at prohibitive cost with restrictive licensing, keeping it out of reach for the majority of research community. On the other hand, there is an abundance of high-quality public data, reporting different aspects of mobility. Examples are the public transport patronage and information about the usage of the Australian road network. These datasets are collected by different organisations and government departments and are presented in various formats. For instance, data may be collected at different spatial (e.g. at state or postcode levels) and temporal scales and be presented in the form of passenger counts or aggregated movement flows. This dataset addresses the general lack of national scale comprehensive human mobility dataset in Australia by transforming available mobility data into a consistent format that is suitable for analysis in a broad range of research areas. Merging the various individual datasets into Australia's first comprehensive, national-scale human mobility data asset drastically improves the quality and coverage of existing datasets. The Mobility Australia project received investment (https://doi.org/10.47486/DP702) from the Australian Research Data Commons (ARDC). The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS). The original data tables were structured in a matrix-like format. AURIN employed a methodology to merge diverse datasets into a comprehensive one, categorising based on transportation types (e.g., trains, buses, rails, ferries), years (e.g., 2019, 2020, 2021, etc.), and temporal scales (e.g., weekly, monthly, yearly). Subsequently, AURIN spatially enabled the original data by employing the 2021 edition of the Australian Statistical Geography Standard (ASGS). The flow between origin and destination pairs is visually represented using line geometry.

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