A　multi-criteria　integrated　time-satisfaction-based　maximal　covering　location　model　of　urban　emergency　shelter　locations　for　earthquake　disaster　was　developed　to　identify　shelter　locations　and　evacuee　distributions.　First,　considering　the　various　conditions　of　an　integrated　considering　options　for　urban　emergency　shelter　locations　for　earthquake　disaster,　the　TOPSIS　method　was　used　for　the　multiple　criteria　decision-making　and　comprehensive　evaluation　of　the　possible　options.　Secondly,　after　investigation　on　the　time-satisfaction　function　of　the　supported　units,　a　multi-criteria　integrated　time-satisfaction-based　maximal　covering　location　model　based　on　the　maximal　covering　location　model　and　the　partial　covering　idea　was　built.　The　optimal　objective　of　the　model　was　to　maximize　the　satisfaction　of　both　the　support　department　and　the　supported　units.　Finally,　a　hybrid　intelligent　algorithm　based　on　the　genetic　algorithm　and　particle　swarm　optimization　was　provided　to　solve　the　model.　The　computational　results　proved　the　effectiveness　of　the　algorithm.