Bridging Questionnaire Survey and GPS data for Assessing Person Trip Behavior in Time-series: A Case Study in Dawei Special Economic Zone, Myanmar

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Satomi Kimijima
Masahiko Nagai


Dawei is one of the newly emerging Special Economic Zones in Myanmar where rapid socio-environmental changes are caused along with constructions of ports and road links. Evaluation of local impacts associated with such socio-environmental changes from a person trip perspective is very important. Ways of obtaining trip data can be shifted from conventional questionnaire survey to GPS survey by loggers and mobile phones in future; however, bridging two data is necessary to trace trip behavior in time-series. The objectives of this paper are to: (a) convert and visualize questionnaire-based person trip data, (b) compare the questionnaire and GPS data sets associated with trip parameters, and (c) assess trip changes in 2005, 2010 and 2015. Totally, 345 individual respondents were selected through random stratification to assess one-day trip using a questionnaire and GPS survey for each. Conversion of non-spatial trip information from questionnaires was conducted by using GIS. The results show that differences of two data sets in the number of trips, distance and duration are 25.3%, 34.9% and 38.0%, respectively. Trip distance was yearly increased. The study concluded that questionnaire data can be associated with GPS data and its visualization helps understanding underlying tendencies behind the paper-based information.



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[1] A. Min and T. Kudo, “Newly Emerging Industrial Development Nodes in Myanmar : Ports, Roads, Industrial Zones along Economic Corridors,” Emerg. Econ. Corridors Mekong Reg, vol. 8, pp. 187–230, 2012.

[2] M. ISHIDA, “Special Economic Zones and Economic Corridors,” Economic Research Institute for ASEAN and East Asia (ERIA), Working Paper d019, 2009.

[3] “Mobile Action,” Mobile Action Technology - i-gotU Official Site. [Online]. Available:

[4] A. Witayangkurn, T. Horanont, N. Ono, S. Yoshihide, and R. Shibasaki, “Trip Reconstruction and Transportation Mode Extraction on Low Data Rate GPS Data from Mobile Phone,” in International Conference on Computers in Urban Planning and Urban Management (CUPUM 2013), 2013, vol. 5

[5] G. Andrienko, N. Andrienko, and S. Wrobel, “Visual Analytics Tools for Analysis of Movement Data,” SIGKDD Explor. Newsl., vol. 9, no. 2, pp. 38–46, Dec. 2007.

[6] S. Srinivasan and P. Rogers, “Travel behavior of low-income residents: studying two contrasting locations in the city of Chennai, India,” Journal of Transport Geography, vol. 13, no. 3, pp. 265–274, Sep. 2005.