Comprehensive data validation of a combined weekly time use and travel survey

被引:9
作者
Aschauer, Florian [1 ]
Hossinger, Reinhard [1 ]
Jara-Diaz, Sergio [2 ,3 ]
Schmid, Basil [4 ]
Axhausen, Kay [4 ]
Gerike, Regine [5 ]
机构
[1] Univ Nat Resources & Life Sci, Inst Transport Studies, Vienna, Austria
[2] Univ Chile, Dept Civil Engn, Santiago, Chile
[3] Inst Sistemas Complejos Ingn ISCI, Santiago, Chile
[4] Swiss Fed Inst Technol, Inst Transport Planning & Syst IVT, Zurich, Switzerland
[5] Tech Univ Dresden, Chair Integrated Transport Planning & Traff Engn, Dresden, Germany
基金
奥地利科学基金会;
关键词
Data quality; Data validation; Item-nonresponse; Mobility behaviour; Survey quality; Travel survey methods; SURVEY DESIGN; MOBILITY; EXPENDITURE; QUALITY; ERROR; DIARY;
D O I
10.1016/j.tra.2021.08.011
中图分类号
F [经济];
学科分类号
02 ;
摘要
A well-known problem in Household Travel Surveys (HTS) is item-nonresponse, which occurs when complete trips are not reported or only partial information for trips is given. This article presents a comprehensive data validation effort (data completion and correction through immediate call-backs of the survey participants) on travel and non-travel information as part of a one-week Mobility-Activity-Expenditure Diary Survey. Validation recovered 2.5 percent reporting days of mobile persons with complete information on trips and increased the number of trips of pre-existing mobile reporting days by 3.5 percent. The characteristics of these trips confirm and extend the findings from item-nonresponse studies without validation: The majority of the new trips begin in the afternoon; they are mainly short and irregular; the most important trip purposes are home, work, shopping, and leisure. 37 percent of the new trips generated completely new tours; females seem to under-report less than men do. The analysis of the information on the time use (activities) between trips showed that the data was recorded with high accuracy and completeness even before validation. This study confirms typical item-nonresponse patterns and provides a solution for their mitigation through direct follow-up validation. The validation effort increased the time and cost of fieldwork by 12 percent.
引用
收藏
页码:66 / 82
页数:17
相关论文
共 41 条
[1]  
Ampt E. S., 2006, MIXED METHOD DATA CO
[2]  
[Anonymous], 1995, Survey Methods for Transport Planning
[3]  
Armoogum J., 2014, Survey Harmonisation with New Technologies Improvement (SHANTI)
[4]   Reporting quality of travel and non-travel activities: A comparison of three different survey formats [J].
Aschauer, Florian ;
Hoessinger, Reinhard ;
Schmid, Basil ;
Gerike, Regine .
TRANSPORT SURVEY METHODS IN THE ERA OF BIG DATA: FACING THE CHALLENGES, 2018, 32 :309-318
[5]   Time use, mobility and expenditure: an innovative survey design for understanding individuals' trade-off processes [J].
Aschauer, Florian ;
Roesel, Inka ;
Hoessinger, Reinhard ;
Kreis, Heinz Brian ;
Gerike, Regine .
TRANSPORTATION, 2019, 46 (02) :307-339
[6]  
Aschauer F, 2018, EUR J TRANSP INFRAST, V18, P4
[7]  
Ashley D., 2009, RECENT INFORM REPORT, V32nd
[8]   Combining web and face-to-face in travel surveys: comparability challenges? [J].
Bayart, Caroline ;
Bonnel, Patrick .
TRANSPORTATION, 2012, 39 (06) :1147-1171
[9]   Workshop Synthesis: Comparing and combining survey modes [J].
Bonnel, Patrick ;
Bayart, Caroline ;
Smith, Brett .
TRANSPORT SURVEY METHODS: EMBRACING BEHAVIOURAL AND TECHNOLOGICAL CHANGES, 2015, 11 :108-117
[10]   Comparative analysis of global positioning system-based and travel survey-based data [J].
Bricka, Stacey ;
Bhat, Chandra R. .
TRAVEL SURVEY METHODS, INFORMATION TECHNOLOGY, AND GEOSPATIAL DATA, 2006, (1972) :9-20