The　rapid　increase　in　the　number　of　cars　has　caused　many　problems,　such　as　＂cruising　for　parking＂　and　＂illegal　parking＂.　In　this　study,　we　conducted　several　on-street　parking　surveys　in　Beijing＇s　business　districts.　A　parking　location　choice　model　and　decision　rules　for　the　cruising　process　are　established.　A　multi-agent　based　on-street　parking　simulation　was　constructed　to　explore　the　effects　of　time-varying　parking　prices　on　parking　demand.　It　is　concluded　that　demand-driven　dynamic　parking　pricing　can　effectively　regulate　the　distribution　of　parking　demand　and　ensure　the　utilization　of　parking　facilities　within　the　desirable　range　in　business　districts.　A　lower　desirable　range　and　higher　price　change　for　the　price　adjustment　can　cause　larger　fluctuations　in　parking　demand,　fewer　time　intervals　within　the　desirable　range,　and　more　price　adjustment　times.　A　higher　desirable　range　and　higher　price　change　can　result　in　longer　cruising　and　driving　times,　and　lower　driving　speeds.　Considering　the　effectiveness　and　operating　costs　of　the　pricing　schemes,　it　is　recommended　that　the　suitable　range　for　parking　occupancy　rate　is　60%-80%　and　the　price　change　is　2　Yuan/h.　The　price　adjustment　threshold　can　be　set　based　on　the　scale　of　the　regional　road　network.　The　proposed　dynamic　parking　pricing　strategy　can　balance　the　distribution　of　the　parking　demand　and　reduce　parking　and　traffic　problems.　The　research　conclusions　can　also　provide　a　reference　for　the　formulation　of　dynamic　parking　pricing　strategies.