Research Article

Travel Behavior Analysis Using 2016 Qingdao’s Household Traffic Surveys and Baidu Electric Map API Data

Table 2

Online-survey samples.

OD NumberFamily IDPersonal IDOriginDestinationPurposeTrip mode
LongitudeLatitudeDeparture timeLongitudeLatitudeArrival timeBusCarTaxiWalkSubwayBikeCommuting Bus

1238120.437836.10077:30120.414436.13147:55WorkNoYesNoNoNoNoNo
1338120.414436.085717:30120.379636.087517:45Shopping or F&BNoYesNoNoNoNoNo
1438120.379636.087518:15120.437836.100718:30HomeNoYesNoNoNoNoNo
1539120.437836.10077:20120.437736.10087:25SchoolNoNoNoYesNoNoNo
1639120.437736.100816:00120.437836.100716:05HomeNoNoNoYesNoNoNo
14310120.437836.10077:30120.433536.12257:50WorkYesNoNoNoNoNoNo
15310120.433536.122517:00120.437836.100717:40HomeYesNoNoNoNoNoNo
16411120.398836.08137:10120.411836.12078:10WorkYesNoNoNoNoNoNo
17411120.411836.120718:00120.398836.081319:10HomeYesNoNoNoNoNoNo
18412120.398836.08137:10120.397636. 10277:56WorkNoNoNoNoYesNoNo
19412120.397636.102720:00120.398836.081320:40HomeNoNoNoNoYesNoNo