Assessment of land use efficiency in the Bangkok metropolitan region using sustainable development goals (SDG's) | |
| Author | Krishna, Aketi Sai |
| Call Number | AIT Thesis no.RS-22-06 |
| Subject(s) | Sustainable Development Goals (Project) Sustainable development--Thailand--Bangkok Land use--Thailand--Bangkok |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | This thesis aims to study about the assessment of Sustainable Development Goal indicator 11.3.1 and 15.1.1 for the BMR in present and future scenarios by analysing the BMR land use data which is acquired from the Thailand Land development Department (LDD). Initially the spatial and temporal analysis were performed on the LDD data. Then harmonization process performed on the data on the basis of latest LDD land use classification hierarchy to have a semantic land use hierarchy over the years which will be further helpful in the semantic spatial temporal analysis across the years. Then prepared harmonized land use data is utilized for the calculation of SDG’s indicator. SDG 11.3.1 of BMR region from year 2007 to 2019 is 1.3 which resembles that the land consumption rate occurs at faster than the population growth and the secondary indicator ,Built area capita shows that built-up area for each person is increased from 250 {u1D45A}2/persons to 258 {u1D45A}2/person’s and change in total built-up area is increased up to12.20% in between 2007 to 2019.The gradual rise in population evolution and built up area capita in region shows that urban sprawling .This expansions are due to various reasons like lack of developable land in core areas, policy restrictions. SDG 15.1.1 is referred as the proportion of forest area to total land area is decreased from 0.88% to 0.77% in the period from 2007 to 2019. Further, simulated the land use projection of BMR in year 2035 and 2050 by using LCM Based on the projected values, SDG 11.3.1 for years 2035 and 2050 were shown as 4.77 and 2.39 which implies that the land consumption rate occurs at even quicker rate that population growth and built-up area capita is increasing from 334 {u1D45A}2/ person to 361 {u1D45A}2/person. According to analysis, inclining of population and the built-up area per person implies the outwards growth of urbanization. Due to uneven expansion of urban areas around the region develops the unbalanced urbanization. Simulated SDG 15.1.1for the projected years 2035 and 2050shows percentage of forest area to the land extent in BMR region is declining from 0.68% to 0.57% from the year 2035 to 2050 which shows that the forest extent in the region is decreasing and the alteration of forests areas is increasing in the region. |
| Year | 2022 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
| Chairperson(s) | Virdis, Salvatore G.P.; |
| Examination Committee(s) | Sarawut Ninsawat;Vilas.Nitivattananon;Mazumdar, Chitrini; |
| Scholarship Donor(s) | AIT Fellowship; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2022 |