[Objectives]　This　study　aims　to　investigate　the　disturbances　in　crowd　stay　behavior　under　extreme　weather　conditions,　reflecting　their　overall　impact　on　human　dynamics.　The　findings　can　support　efforts　to　enhance　urban　resilience,　reduce　disaster-related　losses,　and　maintain　urban　order　and　stability.　[Methods]　A　quantitative　method　was　developed　to　measure　the　degree　of　disturbance　in　stay　behavior　at　the　individual　level　based　on　the　concept　of　similarity.　At　the　group　level,　a　quantitative　disturbance　measurement　method　grounded　in　the　Z-Score　principle　was　constructed.　The　effectiveness　of　these　methods　was　validated　using　anonymized　mobile　location　data　collected　during　a　heavy　rainfall　event　in　Quanzhou　in　July　2022.　The　dataset　covers　the　week　of　the　event　and　the　subsequent　week.　[Results]　The　findings　indicate　that:　(1)　The　proposed　method　effectively　quantifies　spatiotemporal　disturbances　in　crowd　stay　behavior,　demonstrating　its　reliability;　(2)　At　the　individual　level,　the　method　successfully　reveals　different　types　of　impacts　on　individuals　and　their　spatiotemporal　distribution　characteristics.　Case　study　data　show　that　individuals　residing　in　the　city　center　are　more　susceptible　to　the　combined　effects　of　heavy　rainfall　on　both　their　geographic　locations　and　daily　activity　schedules.　In　contrast,　individuals　in　suburban　and　exurban　areas　experience　some　alterations　in　their　stay　locations　but　generally　maintain　consistent　daily　routines　and　time　schedules;　(3)　At　the　group　level,　the　method　effectively　captures　the　temporal　disturbance　patterns　and　geographic　distribution　of　disruptions　caused　by　heavy　rainfall.　Additionally,　different　regions　exhibit　varying　resilience　characteristics　and　recovery　speeds　in　stay　behaviors.　Case　study　data　indicate　that,　on　the　day　of　the　heavy　rainfall　event,　the　affected　population＇s　residential　areas　covered　68.71%　of　the　city＇s　built-up　area.　The　number　of　long-term　stay　behaviors　increased　significantly　on　the　eve　of　the　heavy　rainfall,　with　a　maximum　change　of　9.82%.　On　the　morning　of　the　event,　short-term　stay　behaviors　significantly　decreased,　while　in　the　afternoon,　they　increased　sharply,　with　a　maximum　change　of　21.48%.　[Conclusions]　The　proposed　methods　quantitatively　assess　the　influence　of　extreme　weather　conditions　on　crowd　stay　behavior　at　both　individual　and　group　levels.　These　findings　provide　a　solid　foundation　for　emergency　management　agencies　to　evaluate　disaster　risks　and　develop　effective　response　and　management　strategies.　©　2025　Science　Press.　All　rights　reserved.