Application of Spatial Calculating Analysis Model for Land Use Conversion in Colombo Urban Fringe (original) (raw)

Potential of Urban Land Management Using Geographic Information Systems – A Study of Thimbirigasyaya Ward, Colombo

With the population growth and associated high levels of urbanization, sustainable urban development has become a critical issue in Sri Lanka. A land information management tool was developed for the Thimbirigasyaya ward of the Colombo Municipal Council (CMC) Sri Lanka using a Geographic Information System incorporating multi layer analysis. The layers incorporated contained the spatial distribution of land parcels, buildings along with zoning details established by the Urban Development Authority. This paper presents the potential of the GIS based system for rational land parcel management by considering various scenario with respect to the presently available zoning, zoning regulations combining with land parcel and building information. Potential use of GIS for Land Management in the Colombo city including real estate development and also drainage improvement is discussed. Proposals are made for the decision makers to take into consideration when executing responsible action. In the analysis it was identified that the Primary Residential Zone meant for high rises is mostly of low rises and there is a significant potential for development. Overlay operations enable a manager to identify amalgamation options to suit the land development policy of the UDA. The tool also demonstrates the identification of old buildings that may be worthy of demolition to make room for planned development. The tool also enabled the identification of main user types within identified zones so that a decision maker could propose better economic use of land through means of relocation. This casestudy presents not only the importance of land clearance management but also the vast potential for policy making and rational management.

GIS Applications in Land Use and Land Development of a City

2013

Since liberalization was introduced in the year 1991, Indian cities have been experiencing an accelerated pace of growth. This has created opportunities for technocrats and planners alike to guide and develop the process of planned development and management of cities. Efficient urban information system is a vital pre-requisite for planned development as the ever increasing demands in urban planning and management call for co-ordinate application of Geographic Information System (GIS), for sustainable development of urban areas. The availability of satellite images from Google earth has revolutionized the process of thematic mapping and spatial data base creation, specially, in the context of urban and regional planning. Technologies such as GIS have emerged as a powerful tool in integrating and analyzing the various thematic layers along with attribute information to create various planning scenarios for decision making. The ability of GIS to store, manage and manipulate large amou...

SPATIAL SIMULATION BASED ON GEOGRAPHIC INFORMATION SYSTEM (GIS) AND CELLULAR AUTOMATA (CA) FOR LAND USE CHANGE MODELING IN SINGARAJA CITY AND ITS SURROUNDING AREA

Nyoman Arto Suprapto, 2016

Singaraja is the second largest city after Denpasar in Bali. The magnitude of the potential of the region both trade and services, agriculture and tourism in Buleleng Regency has given a very broad impact not only on the economy but also the use of land. Economic development in the city of Singaraja cause some effects such as population growth, an increasing number of facilities (social, economic, health, and others), as well as changes in land use. Changes in land use have a serious impact on the environment in the city of Singaraja. The development of urban areas of Singaraja has given the excesses of increasing the land conversion. Suburb dominated by wetland agriculture has now turned into buildings to meet the needs of shelter, trade and services as well as urban utilities. This study was conducted by mean to determine how changes in land use from agricultural land into build up land during twelve years (period of 2002-2014) and the prediction of land use within the next 12 years (period of 2020 and 2026). Prediction of land use changes will be done using spatial simulation method which is integrating Cellular Automata (CA) and Geographic Information Systems (GIS) which analyzed based on land requirement, the driving variable of land use changes (population and road) and the inhabiting variable of land use change (slope steepness and rivers).

LAND USE SCANNER: An integrated GIS based model for long term projections of land use in urban and rural areas

Journal of Geographical Systems, 1999

This paper describes the structure of the LAND USE SCANNER model, a GIS based model developed to generate spatial forecasts for various types of land use for a large number of grids. The model basically allocates land according to bid prices for various types of land use. The possibility of government intervention in land use is taken into account among others by adding aggregate constraints. The model includes all relevant land use types such as residential, industrial, agricultural, natural areas and water. The model is driven by sectoral models providing forecasts of aggregate land use in various land use categories. An application of the first version of the model is given for the Netherlands with some 200,000 grid cells. Further developments and refinements of the model are planned for the near future.

Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler

Geographies

Land-use change is a predictable and principal driving force of potential environmental changes on all spatial and temporal scales. A land-use change model is a tool that supports the analysis of the sources and consequences of land-use dynamics. This study aims to assess the spatiotemporal land-use changes that occurred during 1990–2020 in the municipal council limits of Batticaloa. A land change modeler has been used as an innovative land planning and decision support system in this study. The main satellite data were retrieved from Landsat in 1990, 2000, 2010, and 2020. For classification, the supervised classification method was employed, particularly with the medium resolution satellite images. Land-use classes were analyzed by the machine learning algorithm in theland change modeler. The Markov chain method was also used to predict future land-use changes. The results of the study reveal that only one land-use type, homestead, has gradually increased, from 12.1% to 34.1%, duri...

Land use change simulation based on land price spatial model in Tembelang, Indonesia Land use change simulation based on land price spatial model in Tembelang, Indonesia

IOP Conference Series: Earth and Environmental Science, 2018

The construction of the toll gate interchange in Tembelang district, Jombang, has resulted in the increased land price in the area. This is because the area is getting more accessible, that led to new developments and land use changes. Areas with good infrastructure tend to have high land prices because it is more desirable, therefore land prices can be used as an approach in analysing land use change. Spatial modelling is done with Spatial Regression and produces land price maps classified as 0-200000 (low), 200000.0001-410000 (medium), and 410000.0001-1059240.75 (high) with an area of 1210.16 Ha, 1158.20 Ha, 1080.02 Ha. The price of the land is in units of Indonesian Rupiah (IDR) per square meter. From land pricing class, arranged potential for land use change by applying Query Builder. Land use change from non-built land to built-up land was simulated in high and medium land pricing class and predicted conversion for high land price 725.42 Ha and 901.04 for the medium land price. This research can be used as a recommendation to spatial arrangement and to anticipate land conversion that is not in accordance with its allocation in planning documents.