Person trip monitoring and LC/LU changes for extracting local interactions under rapid socio-economic changes : a case study of Dawei, Myanmar | |
| Author | Kimijima, Satomi |
| Call Number | AIT Diss. no.RS-18-03 |
| Subject(s) | Global Positioning System Economics--Sociological aspects--Myanmar--Dawei Land use--Myanmar--Dawei |
| Note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | Understanding person trip patterns provides knowledge about impacts of a rapid socio- economic transformation at the local level. As trip pattern represents local livelihood such as socio-economic activities, local impacts associated with rapid socio-economic changes can be illustrated from the person trip perspective. Developments in GPS technology contributes to providing a better understanding of the interaction between the surrounding environment and localities and further dynamic monitoring. The higher accurate data also helps to investigate the data quality of traditional trip survey data. However, trip data collection still faces various limitations including poor feasibility, financial status, and data handling capacity in the rural context. Additionally, an integration of both datasets for better time-series analysis cannot be made due to differences in the data formats. Thus, this study assesses a long-term trip data by integrating both questionnaire and GPS travel data for extracting local interactions under rapid socio-economic changes such as Land-Cover and Land-Use changes in a rural area. It is a very critical element even in Southeast Asia where increases in investments and development of infrastructures have been massively expanded. The research used a face-to-face questionnaire and GPS logger-based method of data collection. The obtained trip-related information and personal profile from a questionnaire were in the year of2005, 2010, and 2015. These three years covered the following periods- before project initiation, after project initiation and latest project status, respectively. Simultaneously, one-day trip data from the same respondents was acquired by applying GPS loggers. Conversion of the questionnaire-based person trip information into spatiotemporal information was carried out with use of online web map service. These person trip data were verified by the GPS log data. As one of the applications, the trip distance was associated with urban area expansion. Urban area was extracted from a time-series of remote sensing Landsat imagery taken between 1989 to 2013 based on human visual interpretation. Accordingly, the relationship between the trip distance and the urban area was assessed. To illustrate the proposed approach, a case study was conducted in Dawei Special Economic Zone, Dawei, Myanmar. The results showed the average differences between the two datasets as 25.1%, 33.3% and 36.0% by trip frequency, travel distance and travel time, respectively. The results revealed that the questionnaire-based trip data could be seamlessly associated with GPS-based trip data and diverse trip patterns were found for different social groups in the stage of urban formation. In addition, the high relation was found between the travel distance and urban area. Seamless integration of trip dataset and its visualization provides an understanding of change of rural activities, which can be used for monitoring rural sustainability and its challenges in the future with the background of the accelerated project development in the areas. Accumulated data further enables to measure the ruralsustainability associated with the rapid developments. |
| Year | 2018 |
| Type | Dissertation |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing (RS) |
| Chairperson(s) | Nagai, Masahiko |
| Examination Committee(s) | Tripathi, Nitin Kumar;Kusakabe, Kyoko;Apichon Witayangkurn;How, Phua Mui |
| Scholarship Donor(s) | Grene Project-AIT Fellowship |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2018 |