An empirical comparison of four technology-mediated travel survey methods

作     者：Hamid Sait Behrang Assemi Mahmoud Mesbah Luis Ferreira 

作者机构：School of Civil EngineeringThe University of QueenslandBrisbaneQLD 4072Australia 

出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报（英文版）)

年 卷 期：2017年第4卷第1期

页      面：80-87页

学科分类：12[管理学] 08[工学] 0810[工学-信息与通信工程] 120203[管理学-旅游管理] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0813[工学-建筑学] 0835[工学-软件工程] 0814[工学-土木工程] 081002[工学-信号与信息处理] 0823[工学-交通运输工程] 

基　　金：partially supported by grant DE130100205 from the Australian Research Council 

主　　题：Travel survey Smartphone Global positioning system (GPS)Travel behaviour Tracking Advanced Travel Logging Application for Smartphones II (ATLAS II) 

摘      要：The increasing demana for advanced modelling methods, which can reflect complex travel activities of individuals, requires enhanced travel data collection methods. The introduction of GPS-assisted data collection methods has provided an alternative to the conventional methods of travel data collection. GPS-assisted data collection methods improve the accu- racy of data collection and enable capturing more details of individuals＇ travel behaviour. Recent technological advancements in smartphone-based positioning technologies and communication facilities have opened up new opportunities to apply smartphones as the media of GPS-assisted data collection. Although, different GPS-assisted methods have been employed recently, their performance has not been widely evaluated in real-world experi- ments compared to traditional data collection methods. Accordingly, this paper evaluates the performance of three GPS-assisted methods, namely handheld GPS tracking, smart- phone-based GPS tracking and smartphone-based prompted-recall data collection methods, in conjunction with the web-based data collection to shed light on different aspects of GPS- assisted data collection methods. These methods are compared in terms of the quality and accuracy of the collected data, the demographic attributes of participants and the specifi- cations of labelled trips. The results show that an appropriate employment of smartphones enhances the accuracy of data collection. It is also found that putting an extra burden on participants during a travel data collection survey results in lower trip-rates and poor data quality. Finally, it is found that the application of smartphone-assisted data collection methods help reporting non-motorised trips more accurately.