为弥补传统居民出行调查中存在被调查者对出行时间预估不准和出行距离难以计算的弊端，基于地图开发，设计了网络调查问卷，以获取居民出行起讫点（Origin-Destination，简称OD） 和出行方式。根据起讫点进行坐标匹配，在时间最短的原则下，通过百度地图应用程序编程接口（Application Programming Interface，简称API） 进行最佳出行路线推测，并融合居民调查数据得到一次出行的完整出行链，对获取的出行链数据进行不同出行方式和出行目的的居民出行特征分析。研究结果表明：（1） 平均出行距离、平均出行时间等总体指标与青岛市第3 次交通出行调查（2016） 中通过公交IC 卡计算的结果基本一致，但在具体的分布上有差异；（2） 公交车出行的平均出行时间是小汽车的2.5倍，不能满足乘坐公交加步行的时间要控制在开私家车时间的1.5倍之内的深圳公交提速“1.5”战略；（3） 非常发性的事务类出行，如单位业务、个人事务，平均出行距离要显著大于通勤类出行，如上班、就学。

In order to make up the shortcomings of the traditional resident trip survey such as the inaccurate estimation of trip time and difficulty in calculating trip distance, the network questionnaire was designed to obtain the residents′ origins-destinations(OD) and trip modes based on the map application. By matching origin and destination points with coordinate, under the principle of the shortest trip time, the complete trip chains predicted from the Baidu Map application programming interface (API) were obtained through integrating resident survey data. On the basis of the trip chain data, the resident trip characteristics of different trip modes and purposes were analyzed. The results show that: (1)the average trip distance and time are basically the same with the results calculated by bus IC card in the Third Traffic Survey of Qingdao (2016), but in the specific distributions they are different; (2)the average trip time of bus trip is 2.5 times as long as that of car trip, it can′t satisfy the Shenzhen Bus Speed Increase Strategy in which the time of taking bus is 1.5 times as long as that of using private car; (3)the average trip distance of infrequent trips, such as business and personal affairs, is significantly longer than that of commuter trip, such as going to work and attending school.