APPLICATION OF GEOGRAPHIC INFORMATION SYSTEM (GIS) AND ANALYTIC HIERARCHY PROCESS (AHP) TECHNIQUE TO STUDY LAND USE CHANGES IN PENDANG, KEDAH

2021 ◽  
Vol 19 (16) ◽  
Author(s):  
Abdul Ghapar Othman ◽  
Kausar Hj Ali ◽  
Wan Mohammad Fazil Asli
Keyword(s):  
Land Use ◽  
Rural Communities ◽  
Land Use Planning ◽  
Rural Areas ◽  
Urban Areas ◽  
Agricultural Land ◽  
Growth Parameters ◽  
Land Use Changes ◽  
Small Towns ◽  
Urban Land Use

Urbanization process has a significant impact on land use planning. It not only affects major cities but also extends to small towns in rural areas where it has a significant role in providing urban services to rural communities. The expansion of urban areas also resulted in the loss of many agricultural lands as well as forests that are rich in natural resources. In both instances, the land use composition is substantially affected. This study uses a "mixed method approach" combining GIS spatial analysis and AHP technique to study land use changes, identify land use growth parameters, determine land use growth suitability areas and identify the direction of urban land use development. The study area is the town of Pendang, which is the main administrative centre for Pendang District, Kedah. The main findings of the study show that changes were not that significant during the period between 2005 to 2012. However, significant land use changes occurred during the period of 2012 to 2020, especially in agricultural land use, vacant land and even water bodies. These land use changes have contributed to the increase in built-up areas. The direction of development is seen heading north, south and southwest of the study area. Accessibility is a major factor influencing the growth of land use and development direction in the study area.

scholarly journals URBANIZATION AND LAND USE CHANGES IN RURAL TOWN: GUAR CEMPEDAK, KEDAH

2021 ◽  
Vol 19 ◽  
Author(s):  
Abdul Ghapar Othman ◽  
Kausar Hj. Ali ◽  
Izuandi Yin ◽  
Mou Leong Tan ◽  
Nurul Hanisah Mohd Jizan
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Agricultural Land ◽  
Growth Parameters ◽  
Land Use Changes ◽  
Small Towns ◽  
Significant Loss ◽  
Physical Factors ◽  
Land Uses ◽  
Rural Settlements

The change in land uses in rural areas is often associated with urbanization process. However, urbanization and industrialization also caused dramatic changes in the land use of rural areas and small towns, where a significant loss of agricultural land and an increase in the construction of rural settlements have led to transformation from non-built-up to built-up land uses. Factors influencing this transformation are many, ranging from physical, economic, social and environmental reasons. This paper intends to study land use changes from 2006 to 2020, determine land use growth parameters, and establish whether the identified physical factors conform to the land use growth and changes in Guar Cempedak, Kedah by applying the technique of overlay, AHP and fishnet using GIS. Findings of the study show that there were significant land use changes during the period of 2006 to 2014, where commercial, institution and public facilities and transportation experienced significant increase, while non-built land uses such as forest, lost more than 90% of its area to other land uses. Distance to transport network and distance to commercial activities identified as the main influencing factors, have been found to be consistent with the result of intensity analysis on land use changes in this small town.

scholarly journals LAND USE CHANGES IN RURAL TOWN: A CASE STUDY OF KUALA NERANG, KEDAH

2020 ◽  
Vol 18 (11) ◽  
Author(s):  
Abdul Ghapar Othman ◽  
Nurul Hanisah Jizan
Keyword(s):  
Land Use ◽  
Rural Areas ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Gis Applications ◽  
Rural Town ◽  
Urban And Rural Areas

Urbanization is the process of transforming a characteristically rural society into an urban one. The urban population is growing at an increasing rate while the rural population is declining, giving rise to imbalances in the development between urban and rural areas. The government’s strategy is to distribute the development to the major settlement centres in the rural areas, which are experiencing the same effects of urbanization as the urban areas in terms of changes to the use of land, especially the reduction of agricultural land and the increase in built-up areas. This study used the method of overlay in GIS applications to investigate land use changes, the speed of urban expansion and direction of development that has taken place from the period 2001 to 2018 in the town of Kuala Nerang, Kedah. This town has undergone a change in its status from a main settlement centre to a district administrative centre. Agricultural lands, which were targeted for development in the rural areas, have been converted into built-up areas. The speed of urban expansion has been slow, although some areas have recorded a higher rate. The development is moving towards the west along the main road connecting the major towns in this part of the state. The functions of the district administrative centre have influenced land use changes.

scholarly journals Urban land use planning within the system of sustainable urban development management

2019 ◽  
Vol 110 ◽  
pp. 02001 ◽  
Author(s):  
Boris Bondarev ◽  
Sergey Nosov ◽  
Oleg Antipov ◽  
Lusine Papikian
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Land Use Planning ◽  
Urban Areas ◽  
Agricultural Land ◽  
Urban Land ◽  
Urban Land Use ◽  
Sustainable Urban Development ◽  
Development Management ◽  
Forest Lands

Agricultural and forest lands near settlements are main reserve for expansion of urban areas. Thus, among 148.5 thousand hectares of lands added to Moscow city territory in 2012, 72.2 thousand hectares or 48% were occupied by agricultural and forest lands. Urban areas are characterized by excessively high intensity of land use, land depletion, deterioration in environmental quality and decline in sustainability of urban development. The paper presents the results of analysis of urban land use planning system in the interests of sustainable development of urban territories. The object of the study is the land that is part of Moscow, which is planned to be developed in the coming decades. The authors propose an algorithm for urban development of such areas, which takes into account the quality of land. Design calculations for areas under development were carried out for Shchapovskoye settlement in New Moscow as an example. In addition, the paper covers aspects of land management when developing agricultural land within cities. The authors developed a classification of agricultural land according to a criterion of “suitability for urban development”. The suggested classification has been applied to achieve the objectives of planning urban land use development, determining the order of construction on agricultural lands within the system of sustainable urban development management.

IMPACTS OF URBAN LAND USE ON CRIME PATTERNS THROUGH GIS APPLICATION

2013 ◽  
Vol 11 (2) ◽  
Author(s):  
Ahmad Nazri Muhamad Ludin ◽  
Norsiah Abd. Aziz ◽  
Nooraini Hj Yusoff ◽  
Wan Juliyana Wan Abd Razak
Keyword(s):  
Land Use ◽  
Drug Abuse ◽  
Land Use Planning ◽  
Urban Areas ◽  
Spatial Relationship ◽  
Police Department ◽  
Strong Relationship ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Use Patterns

Land use planning plays a crucial role in creating a balance between the needs of society, physical development and the ecosystem. However, most often poor planning and displacement of land uses particularly in urban areas contribute to social ills such as drug abuse and criminal activities. This research explains the spatial relationship of drug abuse and other criminal activities on urban land use planning and their implications on the society at large. Spatial statistics was used to show patterns, trends and spatial relationships of crimes and land use planning. Data on crime incidents were obtained from the Royal Malaysia Police Department whilst cases of drug abuse were collected from the National Anti-Drug Agency (AADK). Analysis of the data together with digital land use maps produced by Arnpang Jaya Municipal Council, showed the distribution of crime incidents and drug abuse in the area. Findings of the study also indicated that, there was a strong relationship between petty crimes, drng abuse and land use patterns. These criminal activities tend to concentrate in residential and commercial areas of the study area.

scholarly journals Analyses of Nocturnal Temperature Cooling-Rate Response to Historical Local-Scale Urban Land-Use/Land Cover Change

2011 ◽  
Vol 50 (9) ◽  
pp. 1872-1883 ◽  
Author(s):  
Winston T. L. Chow ◽  
Bohumil M. Svoma
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Cooling Rate ◽  
Rural Areas ◽  
Urban Areas ◽  
Local Scale ◽  
Urban Land Use ◽  
Cooling Rates ◽  
Near Surface ◽  
Over Time

AbstractUrbanization affects near-surface climates by increasing city temperatures relative to rural temperatures [i.e., the urban heat island (UHI) effect]. This effect is usually measured as the relative temperature difference between urban areas and a rural location. Use of this measure is potentially problematic, however, mainly because of unclear “rural” definitions across different cities. An alternative metric is proposed—surface temperature cooling/warming rates—that directly measures how variations in land-use and land cover (LULC) affect temperatures for a specific urban area. In this study, the impact of local-scale (<1 km2), historical LULC change was examined on near-surface nocturnal meteorological station temperatures sited within metropolitan Phoenix, Arizona, for 1) urban versus rural areas, 2) areas that underwent rural-to-urban transition over a 20-yr period, and 3) different seasons. Temperature data were analyzed during ideal synoptic conditions of clear and calm weather that do not inhibit surface cooling and that also qualified with respect to measured near-surface wind impacts. Results indicated that 1) urban areas generally observed lower cooling-rate magnitudes than did rural areas, 2) urbanization significantly reduced cooling rates over time, and 3) mean cooling-rate magnitudes were typically larger in summer than in winter. Significant variations in mean nocturnal urban wind speeds were also observed over time, suggesting a possible UHI-induced circulation system that may have influenced local-scale station cooling rates.

scholarly journals Spatio-Temporal Variation Analysis of Landscape Pattern Response to Land Use Change from 1985 to 2015 in Xuzhou City, China

2018 ◽  
Vol 10 (11) ◽  
pp. 4287 ◽  
Author(s):  
Yantao Xi ◽  
Nguyen Thinh ◽  
Cheng Li
Keyword(s):  
Land Use ◽  
Landscape Pattern ◽  
Urban Areas ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Local Level ◽  
Land Use Changes ◽  
Landscape Patterns ◽  
Rapid Urbanization ◽  
Barren Land

Rapid urbanization has dramatically spurred economic development since the 1980s, especially in China, but has had negative impacts on natural resources since it is an irreversible process. Thus, timely monitoring and quantitative analysis of the changes in land use over time and identification of landscape pattern variation related to growth modes in different periods are essential. This study aimed to inspect spatiotemporal characteristics of landscape pattern responses to land use changes in Xuzhou, China durfing the period of 1985–2015. In this context, we propose a new spectral index, called the Normalized Difference Enhanced Urban Index (NDEUI), which combines Nighttime light from the Defense Meteorological Satellite Program/Operational Linescan System with annual maximum Enhanced Vegetation Index to reduce the detection confusion between urban areas and barren land. The NDEUI-assisted random forests algorithm was implemented to obtain the land use/land cover maps of Xuzhou in 1985, 1995, 2005, and 2015, respectively. Four different periods (1985–1995, 1995–2005, 2005–2015, and 1985–2015) were chosen for the change analysis of land use and landscape patterns. The results indicate that the urban area has increased by about 30.65%, 10.54%, 68.77%, and 143.75% during the four periods at the main expense of agricultural land, respectively. The spatial trend maps revealed that continuous transition from other land use types into urban land has occurred in a dual-core development mode throughout the urbanization process. We quantified the patch complexity, aggregation, connectivity, and diversity of the landscape, employing a number of landscape metrics to represent the changes in landscape patterns at both the class and landscape levels. The results show that with respect to the four aspects of landscape patterns, there were considerable differences among the four years, mainly owing to the increasing dominance of urbanized land. Spatiotemporal variation in landscape patterns was examined based on 900 × 900 m sub-grids. Combined with the land use changes and spatiotemporal variations in landscape patterns, urban growth mainly occurred in a leapfrog mode along both sides of the roads during the period of 1985 to 1995, and then shifted into edge-expansion mode during the period of 1995 to 2005, and the edge-expansion and leapfrog modes coexisted in the period from 2005 to 2015. The high value spatiotemporal information generated using remote sensing and geographic information system in this study could assist urban planners and policymakers to better understand urban dynamics and evaluate their spatiotemporal and environmental impacts at the local level to enable sustainable urban planning in the future.

scholarly journals Study on Land-use Changes and Their Impacts on Air Pollution in Chengdu

Atmosphere ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 42 ◽  
Author(s):  
Wei Sun ◽  
Zhihong Liu ◽  
Yang Zhang ◽  
Weixin Xu ◽  
Xiaotong Lv ◽  
...  
Keyword(s):  
Land Use ◽  
Wind Speed ◽  
Correlation Coefficient ◽  
Urban Areas ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Simulation Results ◽  
The City ◽  
Better Than

The expansion of urban areas and the increase in the number of buildings and urbanization characteristics, such as roads, affect the meteorological environment in urban areas, resulting in weakened pollutant dispersion. First, this paper uses GIS (geographic information system) spatial analysis technology and landscape ecology analysis methods to analyze the dynamic changes in land cover and landscape patterns in Chengdu as a result of urban development. Second, the most appropriate WRF (Weather Research and Forecasting) model parameterization scheme is selected and screened. Land-use data from different development stages in the city are included in the model, and the wind speed and temperature results simulated using new and old land-use data (1980 and 2015) are evaluated and compared. Finally, the results of the numerical simulations by the WRF-Chem air quality model using new and old land-use data are coupled with 0.25° × 0.25°-resolution MEIC (Multi-resolution Emission Inventory for China) emission source data from Tsinghua University. The results of the sensitivity experiments using the WRF-Chem model for the city under different development conditions and during different periods are discussed. The meteorological conditions and pollution sources remained unchanged as the land-use data changed, which revealed the impact of urban land-use changes on the simulation results of PM2.5 atmospheric pollutants. The results show the following. (1) From 1980 to 2015, the land-use changes in Chengdu were obvious, and cultivated land exhibited the greatest changes, followed by forestland. Under the influence of urban land-use dynamics and human activities, both the richness and evenness of the landscape in Chengdu increased. (2) The microphysical scheme WSM3 (WRF Single–Moment 3 class) and land-surface scheme SLAB (5-layer diffusion scheme) were the most suitable for simulating temperatures and wind speeds in the WRF model. The wind speed and temperature simulation results using the 2015 land-use data were better than those using the 1980 land-use data when assessed according to the coincidence index and correlation coefficient. (3) The WRF-Chem simulation results obtained for PM2.5 using the 2015 land-use data were better than those obtained using the 1980 land-use data in terms of the correlation coefficient and standard deviation. The concentration of PM2.5 in urban areas was higher than that in the suburbs, and the concentration of PM2.5 was lower on Longquan Mountain in Chengdu than in the surrounding areas.

scholarly journals Land Use Development of Vineyards in Goriška Brda, Slovenia

2017 ◽  
Vol 45 (2) ◽  
pp. 611-622 ◽  
Author(s):  
Alenka FIKFAK ◽  
Velibor SPALEVIC ◽  
Saja KOSANOVIC ◽  
Svetislav G. POPOVIC ◽  
Mladen DJUROVIC ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Rural Areas ◽  
Cultural Landscape ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Land Development ◽  
Chemical Properties ◽  
Cross Tabulation ◽  
The Cross

Land development analyses play a fundamental role in understanding how land use change shapes the land, depending on continuously changing social, economic, and environmental factors that reflect the interests in space. It is especially important to follow land use changes in rural areas due to their role in food security, environmental hazards, cultural landscape preservation, etc. Continuous analyses and monitoring of land use changes allow for the identification and prevention of negative trends in land use (over intensification, land fragmentation, etc.) that might affect biodiversity, change physical and chemical properties of soil, causing soil degradation, change the spatial balance, stability and natural equilibrium in the rural area. The use of the cross-tabulation matrix methodology was suggested for land use change analyses. The methodology, when the cross-tabulation matrix elements are correctly interpreted, allows us to gain as much insight as possible in the process of land use change. This approach enabled a detailed analysis of vineyards in Goriška brda, Slovenia. It was found that the existing methodology fails to analyse the location of change. For this reason, additional analyses of spatial distribution of change and of the locations where changes in space occur were suggested. The study demonstrated that the land use category of vineyards changes systematically, although seemingly randomly. By comparing land use categories over several time periods, the study determined that the size and speed of change varied across different time intervals. The identified land use changes were assessed in the context of their high pressure on agricultural land. The results of the analyses showed different trends shaping the typical agrarian landscape in Goriška brda.

Urban Land Use Changes by the Integration of Remote Sensing, GIS, and Dynamics Modeling

2013 ◽  
Vol 726-731 ◽  
pp. 4645-4649
Author(s):  
Jia Hua Zhang ◽  
Cui Hao ◽  
Feng Mei Yao
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Areas ◽  
Logistic Model ◽  
Land Use Changes ◽  
Urban Land ◽  
Urban Land Use ◽  
Ratio Test ◽  
Multinomial Logistic Model ◽  
The Impact

We developed an approach to assess urban land use changes that incorporates socio-economic and environmental factors with multinomial logistic model, remote sensing data and GIS, and to quantify the impact of macro variables on land use of urban areas for the years 1990, 2000 and 2010 in Binhai New Area, China. The Markov transition matrix was designed to integrate with multinomial logistic model to illustrate and visualize the predicted land use surface. The multinomial logistic model was evaluated by means of Likelihood ratio test and Pseudo R-Square and showed a relatively good simulation. The prediction map of 2010 showed accurate rates 78.54%, 57.25% and 70.38%, respectively.

scholarly journals Flood Risk Index for Land-Use Changes: Case Study of Pakpanang River Basin

2020 ◽  
Vol 24 (5) ◽  
pp. 25-40
Author(s):  
Chonlatid Kittikhun ◽  
Sitang Pilailar ◽  
Suwatana Chittaladakorn ◽  
Eakawat Jhonpadit
Keyword(s):  
Land Use ◽  
River Basin ◽  
Land Use Planning ◽  
Flood Risk ◽  
Urban Areas ◽  
Risk Index ◽  
Land Use Changes ◽  
Flood Depth ◽  
Arc Gis

Flood Risk Index (FRI) is the multi-criteria linked with the factors of vulnerability; exposure, susceptibility, and resilience. In order to establish local FRI, crucial local information have to be accumulated. However, under the limitation of land-use data, particular techniques were applied in this study. CA Markov model was used to analyze the past missing land-use data and, also forecast the future land-use of Pakpanang river basin under conditions of plan and without plan. The ratio changes of forest, agriculture, wetland and water, and urban areas were considered. Then, the result of LULC spatial-temporal changes was then applied to Hec-HMS and Hec-Ras , with Arc GIS extension of Hec-GeoHMS and Hec-GeoRas software, in order to evaluate the flood hydrographs and flood severity in three municipalities corresponding to 100-year return period rainfall. Afterward, the FRI of Pakpanang, Chianyai, and Hua-sai, which ranges from 0 to 1, were evaluated by using the modified FRI equations. It was found that sensitivity analysis in the area of forest on flood depth and inundation areas is incoherent. Nevertheless, without land-use planning, the changes in these three cities cause higher flood risk, where Chianyai is the riskiest as the FRIE is 0.58. Further consideration of FRIE and FRIP proportion that reveals the FRI deviation indicates that to reduce flood risk, Chianyai would need the most resources and highest effort comparison to Pakpanang and Hua-sai.

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