This dataset contains a line network representing pedestrian walking routes throughout the City of Melbourne. It features links to additional land subdivisions and incorporates additional elements/attributes. The network has been created with the intent to assist interested stakeholder in multiple modelling tasks including catchment analysis and route analysis. The network emulates pedestrian behaviour, by allowing free movement in low traffic areas while penalising busy crossings with traffic lights. The network also connects to the City of Melbourne property layer through property centroids and connectors for all the different properties in the dataset. The download is a zip file containing compressed .json files. Please see the metadata attached for further information.

This dataset contains a simplified network representation of bike paths across City of Melbourne. The dataset can be used to create a digital bicycle network with route modelling capabilities that integrated existing bicycle infrastructure. The network has been created to be used with ArcGIS network analyst. The resulting network was connected to the City of Melbourne property layer through centroids created for this project: The network can assist in multiple modelling tasks including catchment analysis and route analysis. The download is a zip file containing compressed .json files Please see the metadata attached for further information.

This dataset contains a simplified network representation of bike paths across City of Melbourne. The dataset can be used to create a digital bicycle network with route modelling capabilities that integrated existing bicycle infrastructure. The network has been created to be used with ArcGIS network analyst. The resulting network was connected to the City of Melbourne property layer through centroids created for this project: The network can assist in multiple modelling tasks including catchment analysis and route analysis. The download is a zip file containing compressed .json files Please see the metadata attached for further information.

This dataset contains hourly pedestrian counts since 2009 from pedestrian sensor devices located across the city. The data is updated on a monthly basis and can be used to determine variations in pedestrian activity throughout the day. The sensor_id column can be used to merge the data with the Pedestrian Counting System - Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting pedestrian counts over time. Importants notes about this dataset:• Where no pedestrians have passed underneath a sensor during an hour, a count of zero will be shown for the sensor for that hour.• Directional readings are not included, though we hope to make this available later in the year. Directional readings are provided in the Pedestrian Counting System – Past Hour (counts per minute) dataset. The Pedestrian Counting System helps to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation. Related datasets:Pedestrian Counting System – Past Hour (counts per minute)Pedestrian Counting System - Sensor Locations

This dataset contains status, location and directional information for each pedestrian sensor device installed throughout the city. The sensor_id column can be used to merge the data with related datasets. Since the inauguration of the Pedestrian Counting System in 2009, some sensor devices have been removed or relocated. This may be for various reasons such as construction works. Others may be inactive due to a temporary issue. This is detailed in the notes column. Any changes to sensor locations are important to consider when analysing and interpreting historical pedestrian counting data. Sensors are typically installed under an awning or on a street pole to form a counting zone on the footpath below. They record bi-directional pedestrian movements through the zone, 24 hours, every day. Locations are selected based on three criteria – retail and event activity, regular pedestrian use and the egress and entry flow to these areas. The system records movements, not images, so no individual information is collected. New sensor devices have been recently installed, with more to come in the near future as part of the city’s commitment to expanding the system. Status field: This field indicates if the sensor is expected to be active and is manually maintained as needed. A pedestrian sensor with an active value ('A') may be unavailable in some situations. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation. Related datasets: Pedestrian Counting System – 2009 to Present (counts per hour)Pedestrian Counting System – Past Hour (counts per minute)

This dataset contains hourly pedestrian counts since 2009 from pedestrian sensor devices located across the city. The data is updated on a monthly basis and can be used to determine variations in pedestrian activity throughout the day.The sensor_id column can be used to merge the data with the Pedestrian Counting System - Sensor Locations dataset which details the location, status and directional readings of sensors. Any changes to sensor locations are important to consider when analysing and interpreting pedestrian counts over time.Importants notes about this dataset:• Where no pedestrians have passed underneath a sensor during an hour, a count of zero will be shown for the sensor for that hour.• Directional readings are not included, though we hope to make this available later in the year. Directional readings are provided in the Pedestrian Counting System – Past Hour (counts per minute) dataset.The Pedestrian Counting System helps to understand how people use different city locations at different times of day to better inform decision-making and plan for the future. A representation of pedestrian volume which compares each location on any given day and time can be found in our Online Visualisation.Related datasets:Pedestrian Counting System – Past Hour (counts per minute)Pedestrian Counting System - Sensor Locations

이 데이터는 충청남도 아산시의 횡단보도에 대한 정보를 담고 있습니다. 횡단보도의 신호등유무,보도턱낮춤유무, 장애인시설유무, 횡단보도폭, 횡단보도길이, 횡단보도방식, 관리기관 등의 정보를 포함합니다.

이 데이터는 충청남도 아산시의 횡단보도에 대한 정보를 담고 있습니다. 횡단보도의 신호등유무,보도턱낮춤유무, 장애인시설유무, 횡단보도폭, 횡단보도길이, 횡단보도방식, 관리기관 등의 정보를 포함합니다.

This dataset contains data about the conditions of sidewalks maintained by the City of Austin Public Works Department. It does not include sidewalks maintained by private parties or other government entities. 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 Master 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 FY2021. View more details and insights related to this data set on the story page: https://data.austintexas.gov/stories/s/t3ve-rx4s