Urban anti-disaster toughness threshold detection method and system based on position big data

The invention provides an urban anti-disaster toughness threshold detection method and system based on position big data, and the method comprises the steps: taking historical or real-time positioning request data as input, extracting a human activity stable region range of a target city, and extracting all rainfall events of the city based on the range; extracting a human activity behavior response of each grid in a human activity stable area range, extracting a city scale human activity response, judging whether a rainfall event triggers a city anti-disaster toughness threshold value or not, if yes, marking the rainfall event as Y0, and if not, marking the rainfall event as non-Y0; and according to the rainfall characteristic difference between the Y0 event and the non-Y0 event, calculating an anti-disaster toughness threshold value sensed by the public, and if a certain rainfall event process exceeds the anti-disaster toughness threshold value of the city, sending out alarm information. By applying the inv