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Practitioner survey and measurement error in manual bicycle and pedestrian count programs

机译:手动自行车和行人计数程序中的从业人员调查和测量错误

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Manual bicycle and pedestrian count programs that involve community volunteers can be a low-cost means to collect nonmotorized traffic data while providing opportunity for public involvement. The purposes of this study were to investigate why communities are performing manual counts and estimate the degree of measurement error associated with conducting manual counts. An online questionnaire was sent to transportation specialists across the United States. There were 92 responses received from 25 states. Eleven communities were contacted for phone interviews. Information about community volunteers, scheduling and logistics, data collection techniques, and reasons for conducting manual counts were summarized. Some of the reasons cited by the survey respondents for conducting manual counts seem unrealistic and possibly flawed. Measurement error was assessed through a controlled field experiment with 25 counters at five intersections. Lower measurement error rates were observed when using a four-movement data collection technique compared to a more complicated 12-movement technique; however, the differences were not statistically significant. The overall median absolute percent error for the 12-movement technique was 27% and 7% for bicyclists and pedestrians, respectively. The field experiment showed no consistent increases in measurement error when counters were assigned to collect additional information, such as sex of traveler or whether bicyclists wore helmets.
机译:涉及社区志愿者的手动自行车和行人计数程序可能是一种低成本的方法,可以收集非机动车交通数据,同时为公众提供机会。这项研究的目的是调查为什么社区要进行人工计数并估计与进行人工计数相关的测量误差的程度。在线问卷已发送给美国各地的运输专家。从25个州收到了92份回复。联系了11个社区进行电话采访。总结了有关社区志愿者,日程安排和后勤,数据收集技术以及进行人工计数的原因的信息。被调查者引用的进行人工盘点的某些原因似乎是不现实的,并且可能存在缺陷。通过在五个交叉点有25个计数器的受控现场实验评估了测量误差。与使用更复杂的12动技术相比,使用四动数据收集技术时观察到的测量错误率更低;但是,差异在统计上并不显着。 12运动技术的整体绝对中位数绝对误差对骑自行车的人和行人分别为27%和7%。现场实验表明,分配计数器来收集其他信息(例如旅行者的性别或骑自行车的人是否戴头盔)时,测量误差不会持续增加。

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