Rationale: The physical safety and security of homelessness people is under threat, especially for the vulnerable group including children, youth, and women of homelessness (Australia Human Rights Commision 2018). Besides, according to Family & Community Services Housing (2013, p.7) NSW Police Force and medical treatment should be provided to meet the safety and security needs of the homelessness. Limitations: Limitations as mentioned in the above parent indicator Data Sources, Frequency, Geography Extend & Data Collection: As mentioned in the above parent indicator Method of Analysis: Safety Index = Proportion of safety support (POI) within 30 minutes of SA3 to Total number of safety support POI in Greater Sydney / Proportion of homelessness people within 30 minutes of SA3 to Total number of homelessness people in Greater Sydney Unit: Number
4. Demonstrating Application Basic Need Index for homelessness population is developed by measuring the relative availability of basic needs facilities across Greater Sydney. First Step: Data Mining – Scraping Points of Interests (POI)s The relative availability of basic needs facilities is measured by scraping the POIs from the Open Street Map using the OSMnx library in Python. Metadata of the scraped POIs consist of the types of POIs (key-value pairs), latitude and longitude, respectively. The metadata was saved in the geo package and XML Graph format —[Images of Scraped Data is attached on Appendix].
Second Step: Data Cleaning – extracting relevant POIs The raw data that was scraped from the Open Street Map was further cleaned using the description and names tags of metadata to retain the relevant POIs. Food Index is composed of affordable local stores and groceries, such as convenience stores, local greengrocers, local farms, and seafood POIs. Accommodation Index is composed of social shelters facilities POIs. Humanity Index is composed of NGOs, Charity Organisations and Second Hand Shops. Safety Index is composed of Public hospitals, police stations, and Clinic POIs. Then, these extracted POIs were converted from polygons to points using pyproj library.
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