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

Table 1

Traffic survey content.

6 categories	16 classification	Survey time	Scope and source of investigation
Mobile phone data	Mobile phone data	Aug-Oct,2015	All citizens in Qingdao
Household survey	online-survey	/Apl-,2016	38740 families in Qingdao
	Face-to-face	/Apl,2016	2500 questionnaires
Public transport survey	Rail traffic survey	/Apl-/Apl,2016	10 stations of M3
	Bus survey	/Sep-/Sep,2015	Bus card data of 334 lines, one week’s GPS data of 5387 buses
	Taxi survey	/Apl-/Apl,2015	All taxis in Qingdao
Traffic flow survey	Check line survey	/Apl-/Apl,2016	70 roads of 5 check lines
	Important intersections	/Apl-/Apl,2016	293 intersections
	Speed survey	/Sep-/Sep,2015	One week’s GPS data of buses
Exit-Entry survey	Traffic volume survey of external passenger hub	Dec,2015	Airport, Railway stations and Coach stations
	Volume survey of highways	Sep,2015	All highways of Qingdao
	Volume survey of expressway entrances	Sep,2015	Expressway entrances in Qingdao
Other surveys	Land use status	Sep-Dec,2015	Urban and Rural Planning Bureau
	Population-employment	Sep-Dec,2015	Statistical Bureau
	Hotel distribution	Sep-Dec,2015	Tourism Bureau
	Car ownership distribution	Sep-Dec,2015	Traffic Police detachment