An integrated geospatial modeling of coastal city growth in Thailand | |
| Author | Kritsana Kityuttachai |
| Call Number | AIT Diss. no.RS-16-01 |
| Subject(s) | Geographic information systems--Thailand Geospatial data-Thailand |
| 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 | Land use and land cover change are a major variable of global change that affects ecological systems.In response to rapid growth and urban sprawl, the main cities of developing regions often have many tall buildings for both residence and commercial functions. However, cities in coastal areas are particularly difficult in terms of planning, due to the constraint of the area along the beach, which is limited and extremely expensive. Hua Hin city provides an excellent example of an area where urbanization has flourished due to tourism. This study focuses on how the dynamic urban either horizontal or vertical expansion of the seaside city of Hua Hin is constrained by the coast, thus making sustainability for this popular tourist destination—managing and planning for its local inhabitants, its visitors, and its sites—an issue. The main objective of this study is to (1) explore the dynamics of urban horizontal expansion including land use conversion parameters. (2) model the urban vertical expansion (3) find the physical and socio-economic factors which influencing the urban growth in vertical and horizontal direction using AHP. The study examined the association of land use types and land use changes by integrating Geo-Information technology, a statistic model, AHP and CA-Markov analysis for sustainable land use planning. The study identified that the land use types and land use changes from the year 1999 to 2008 have changed as a result of increased mobility; this trend, in turn, has everything to do with urban horizontal expansion. The changing sequences of land use type have developed from forest area to agriculture, from agriculture to grassland, then to bare land and built-up areas. Coastal urban growth has, for a decade, been expanding horizontally from a downtown center along the beach to the western area around the golf course, the southern area along the beach, the southwest grassland area, and then the northern area near the airport. The result for the vertical expansion could explain that the price of the land is also an important factor in driving the direction of urban expansion, as well as influencing the rapidity of urban growth. The highest prices for land belong to the area along the beach. From the empirical study, the urban or the built-up area would be expanded to the cheaper land price and its function will be for residents. In contrast, the expensive price area near the beach will be changed from a residential area to a commercial, recreational or touristic area because of its accessibility. Many hotels, resorts, guesthouses and entertainment establishments are located in this area because tourists wish to relax near the beach with a nice atmosphere, where it is a calm and convenient to get to. The low slope is another factor that affects the horizontal expansion, as the residential area could not be constructed on the steep slope and the legislation did not allow people to construct residences on the hill or mountain. The result for the vertical expansion could illustrate the local modeling of the urban growth expansion especially the narrow coastal area along the sea by using the model parameters for the physical factors to force expansion and settlement. The road distance is the most influence factor to force the urban expansion and its growth because the accessibility is very important for the long and narrow area. Meanwhile the price of the land is also important factor to drive the direction of the urban expansion as well as to influence the rapid of urban growth. The relationship of horizontal and vertical expansion could be defined by using the inversing index of the land price and the average of high rise of the building height and its horizontal area. If the area is too narrow, then the urban will growth in the vertical because the price of the land is also variant to the limited space especially the area along the beach. The influencing factors which affected this urban growth model comprises the limited of physical factor, rapid economic factor as well as the social factors who drive this dynamic change of the urban growth either horizontal and vertical expansion. AHP-based analysis has provided the influencing social parameters for both urban horizontal and vertical expansion. The recreation city and heritage site were most important factors to drive the urban expansion. It is interesting to find that tourism and investment opportunities were found to be less important than these. The study found that the decision factors which affect the Hua Hin urbanization of this seaside city is due to the perception of recreation city, heritage site, accessibility, tourism promotion, and business opportunity respectively. The trend has demonstrated urban expansion both horizontally and vertically and need to be planned by introducing policy guidelines as the area is already very densely populated. However, it concluded that the factors which tourist decide to travel to Hua Hin Seaside city is from tourism policy and its promotion to support the local business, the famous recreation city itself influence tourist to visit this city, As the safety city –Hua Hin can pull tourists to visit because the tourist can be confidence for the safety of this place, While business opportunity and the accessibility are the few influences to let tourists are interested in this city meanwhile they are some economic and social factor to let the investors come to invest to the city as they feel confidence to have the good chance to invest to the expanding city. |
| Year | 2016 |
| 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) | Tripathi, Nitin Kumar; |
| Examination Committee(s) | Taravudh Tipdecho;Garg, Pradeep Kumar;Shrestha, Rajendra; |
| Scholarship Donor(s) | Silpakorn University Talingchan, Thailand; |
| Degree | Thesis (Ph.D.) - Asian Institute of Technology, 2016 |