A　new　emergency　evacuation　car-following　model　(EECM)　is　proposed.　The　model　aims　to　capture　the　main　characteristics　of　traffic　flow　and　driver　behavior　under　an　emergency　evacuation,　and　it　is　developed　on　the　basis　of　minimum　safety　distances　with　parts　of　the　drivers＇　abnormal　behavior　in　a　panic　emergency　situation.　A　thorough　questionnaire　survey　is　undertaken　among　drivers　of　different　ages.　Based　on　the　results　from　the　survey,　a　safety-distance　car-following　model　is　formulated　by　taking　into　account　two　new　parameters:　A　differential　distributing　coefficient　and　a　driver＇s　experiential　decision　coefficient,　which　are　used　to　reflect　variations　of　driving　behaviors　under　an　emergency　evacuation　situation　when　compared　with　regular　conditions.　The　formulation　and　derivation　of　the　new　model,　as　well　as　its　properties　and　applicability　are　discussed.　A　case　study　is　presented　to　compare　the　car-following　trajectories　using　observed　data　under　regular　peak-hour　traffic　conditions　and　theoretical　EECM　results.　The　results　indicate　the　consistency　of　the　analysis　of　assumptions　on　the　EECM　and　observations.