By　means　of　on-site　and　network　investigation,　we　collected　data　relevant　to　residents　of　communities,　point　of　interest　(POI)　data,　and　land-use　data　of　Fuzhou.　We　set　traffic　walking　time　and　leisure　walking　time　as　an　independent　variable,　built　environment　as　dependent　variable,　and　gender,　age,　education　level　and　income　level　as　control　variables.　Six　linear　regression　models　were　established　using　Statistical　Product　and　Service　Solutions　(SPSS).　The　results　showed　that　in　the　5D　(i.e.,　Density,　Diversity,　Design,　Destination　and　Distance)　elements　of　the　built　environment,　the　density　was　negatively　correlated　with　the　traffic　walking　time,　whereas　other　elements　were　positively　correlated　with　the　walking　time,　but　the　degree　of　influence　was　different.　©　2019　by　the　authors.