Building occupancy mapping by multi-sources spatial data integration with building construction laws and regulations : a case study of Bangkok | |
| Author | Chomchanok Arunplod |
| Call Number | AIT Diss. no.RS-17-05 |
| Subject(s) | Spatial systems--Bangkok Building construction-Bangkok |
| Note | A dissertation submitted in partialfulfillmentof the requirements for the degree of Doctor of Philosophy in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Series Statement | Dissertation ; no. RS-17-05 |
| Abstract | Classifying building occupancy types helps build inventory databases, which are essentialin various application like urban planning, resources management, disaster management, and so forth. For example, these databases are used to estimate disaster loss and vulnerable to disaster. Often, building shapeis gatheredvia remote sensing data, which can help determine the shape of buildings. However, tobe helpful, such records require detailedbuilding information,occupancytypes,to meet the user data requirement. Collecting this information is time-consuming and costly, especially in developing countries with limited resources, such as Thailand. This study offers a potential solution to these hurdles, using a combination of building construction laws and regulations on building occupancy and geospatial data to develop a new methodology for developing a database of building occupancy classification data. This research addressthe applicability of using both spatial information and GIS functions and laws and regulations for building occupancy classification in Bangkok. The results reveal that this method is usefulin classifying urban building occupancy;the four classes of building occupancy were identifiedin the eastern Bangkok metropolitan area with more than 79% accuracy and without a traditional data training procedure. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Dissertation ; no. RS-17-05 |
| 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) | Honda, Kiyoshi ;Pennung Warnitchai ; |
| Scholarship Donor(s) | Royal Thai Government ;Asian Institute of Technology Fellowship; |
| Degree | Thesis (Ph. D.) - Asian Institute of Technology, 2017 |