scholarly journals Dinamika Perencanaan Tata Guna Lahan di Kabupaten Kediri

2020 ◽  
Vol 006 (03) ◽  
pp. 431-438
Author(s):  
Ninda Adisti Putri
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Land Use Planning ◽  
Rapid Development ◽  
Accuracy Rate ◽  
Industrial Land ◽  
Planning Policy ◽  
New Methods ◽  
Spatial Plan

The imbalance between the needs with sufficient land, meanwhile, needs to be compared with land requirements. Kediri Regency has the potential for rapid development. This is a challenge to the existing land use planning policy in Kediri Regency. This study aims to predict the dynamics of land use change in Kediri Regency until 2030. The prediction model was built using the Cellular Automata approach based on an analysis of land use change trends from 2009 to 2018 taking into account the weight of the driving factors obtained using the AHP method. The results of modeling validation show an accuracy rate of 96.26%. The result is that in 2030 there will be a significant increase in the use of industrial land and warehousing of 331.56 Ha and settlements of 3650.94 Ha in Kediri Regency. But there are still mismatches between the dynamics of the regional spatial plan to be a challenge going forward in order to achieve the goals of the expected development. Modeling using Cellular Automata can be applied as an alternative to new methods in spatial policy evaluation.

scholarly journals ARAHAN PENGENDALIAN PERUBAHAN PENGGUNAAN LAHAN MENGGUNAKAN MARKOV - CELLULAR AUTOMATA DI KABUPATEN CIANJUR

2017 ◽  
Vol 18 (4) ◽  
pp. 211
Author(s):  
Rani Yudarwati ◽  
Santun R.P Sitorus ◽  
Khursatul Munibah
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Environmental Sustainability ◽  
Land Use Changes ◽  
Landuse Change ◽  
The Past ◽  
Land Use Scenario ◽  
Environment Sustainability ◽  
Spatial Plan

Controlling the rate of land use change is necessary due to maintaining environment sustainability.  One of the efforts is studying the changes that occur in the past few years. These changes can be studied by Markov - Cellular Automata model.Cianjur is one of the regency that has a high risk of landslide hazard, so it is necessary to control land use change in order to realize environmental sustainability in accordance with the spatial plan of Cianjur regency (RTRW). The purpose of this study was to see land use changes that occurred and evaluated with the spatial plan (RTRW) and also to conduct controlling scenarios of land use changes. The analysis showed that Cianjur regency has drastically decreased in forest area up to 10,3% and landuse inconsistencyof 10,4%. The prediction results showed that landuse change without intervention would dramatically increase inconsistency up to 20,5%. Land use scenario of restoring forest could reduce inconsistency up to 16,6%.

Dampak Pembangunan Industri Terhadap Perubahan Penggunaan Tanah dan Kesesuaiannya dengan Tata Ruang (Studi di Kabupaten Semarang Provinsi Jawa Tengah)

Tunas Agraria ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 184-207
Author(s):  
Febsy Niandyti ◽  
Yendi Sufyandi ◽  
Westi Utami
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Industrial Development ◽  
Agricultural Land ◽  
Great Influence ◽  
Industrial Land ◽  
Industrial Land Use ◽  
Spatial Approach ◽  
The Impact ◽  
Spatial Plan

Abstract: The industry has a great influence on the economy of Semarang Regency by becoming the largest contributor to Gross Regional Domestic Product (GRDP). The rapid industrial development from 2011-2017 has an impact on the decrease of agricultural land area, besides that industrial development has implication on land use mismatch of Spatial Plan. This study describes the results of descriptive qualitative analysis with spatial approach from the impact of industrial development on land use change and land use suitability for industry in 2017 against Spatial Plan. The analysis shows that, first, the impact of industrial development on land use change in Semarang regency in 2011-2017 resulted in the amount of agricultural land decreased by 253,32 Ha. The biggest land use change occurred on industrial land use that is 146,10 Ha (28,84%). Second, the use of land for industry in 2017 of 288,05 Ha has been in accordance with the spatial plan is in accordance with the industrial designation area, while the land with an area of 202,02 Ha is used for industries that are not in accordance with the industrial designation area. Keywords: Land Use Change, The Industry, The Suitability of The Spatial Plans Intisari: Industri telah memberikan pengaruh terhadap perekonomian Kabupaten Semarang dengan menjadi penyumbang terbesar pada Produk Domestik Regional Bruto (PDRB). Pesatnya perkembangan industri dari tahun 2011-2017 berdampak pada penurunan luas tanah pertanian, disamping itu perkembangan industri tersebut berimplikasi pada ketidaksesuaian penggunaan tanah tehadap Rencana Tata Ruang Wilayah (RTRW). Kajian ini menjelaskan mengenai hasil analisis secara deskriptif kualitatif dengan pendekatan keruangan dari dampak pembangunan industri terhadap perubahan penggunaan tanah serta kesesuaian penggunaan tanah untuk industri tahun 2017 terhadap RTRW. Hasil analisis menunjukkan bahwa pertama, dampak pembangunan industri terhadap perubahan penggunaan tanah di Kabupaten Semarang tahun 2011-2017 mengakibatkan jumlah luas tanah pertanian mengalami penurunan sebesar 253,32 Ha. Perubahan penggunaan tanah terbesar terjadi pada penggunaan tanah untuk industri yaitu seluas 146,10 Ha (28,84%). Kedua, penggunaan tanah untuk industri tahun 2017 seluas 288,05 Ha telah sesuai dengan RTRW yaitu sesuai dengan kawasan peruntukan industri, sedangkan tanah dengan luas 202,02 Ha digunakan untuk industri yang tidak sesuai dengan kawasan peruntukan industri. Kata Kunci: perubahan penggunaan tanah, industri, kesesuaian RTRW

scholarly journals A Multitarget Land Use Change Simulation Model Based on Cellular Automata and Its Application

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Jun Yang ◽  
Fei Chen ◽  
Jianchao Xi ◽  
Peng Xie ◽  
Chuang Li
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Simulation Model ◽  
Land Use Planning ◽  
Driving Mechanism ◽  
Mutual Transformation ◽  
Land Resource ◽  
Simulation Accuracy ◽  
Model Based

Based on the analysis of the existing land use change simulation model, combined with macroland use change driving factors and microlocal land use competition, and through the application of Python language integrated technical approaches such as CA, GIS, AHP, and Markov, a multitarget land use change simulation model based on cellular automata(CA) is established. This model was applied to conduct scenario simulation of land use/cover change of the Jinzhou New District, based on 1:10000 map scale land use, planning, topography, statistics, and other data collected in the year of 1988, 2003, and 2012. The simulation results indicate the following: (1) this model can simulate the mutual transformation of multiple land use types in a relatively satisfactory way; it takes land use system as a whole and simultaneously takes the land use demand in the macrolevel and the land use suitability in the local scale into account; and (2) the simulation accuracy of the model reaches 72%, presenting higher creditability. The model is capable of providing auxiliary decision-making support for coastal regions with the analysis of the land use change driving mechanism, prediction of land use change tendencies, and establishment of land resource sustainable utilization policies.

A GIS-Based Irregular Cellular Automata Model of Land-Use Change

2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Data ◽  
Cellular Automata Model ◽  
Population Growth Rates ◽  
Asynchronous Development ◽  
Canadian City ◽  
Ca Model ◽  
Developing Area

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.

scholarly journals Multi-Scenario Prediction of Intra-Urban Land Use Change Using a Cellular Automata-Random Forest Model

2021 ◽  
Vol 10 (8) ◽  
pp. 503
Author(s):  
Hang Liu ◽  
Riken Homma ◽  
Qiang Liu ◽  
Congying Fang
Keyword(s):  
Land Use ◽  
Random Forest ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Land ◽  
Urban Land Use ◽  
Random Forest Model ◽  
Growth Trend ◽  
Related Factors ◽  
Forest Model

The simulation of future land use can provide decision support for urban planners and decision makers, which is important for sustainable urban development. Using a cellular automata-random forest model, we considered two scenarios to predict intra-land use changes in Kumamoto City from 2018 to 2030: an unconstrained development scenario, and a planning-constrained development scenario that considers disaster-related factors. The random forest was used to calculate the transition probabilities and the importance of driving factors, and cellular automata were used for future land use prediction. The results show that disaster-related factors greatly influence land vacancy, while urban planning factors are more important for medium high-rise residential, commercial, and public facilities. Under the unconstrained development scenario, urban land use tends towards spatially disordered growth in the total amount of steady growth, with the largest increase in low-rise residential areas. Under the planning-constrained development scenario that considers disaster-related factors, the urban land area will continue to grow, albeit slowly and with a compact growth trend. This study provides planners with information on the relevant trends in different scenarios of land use change in Kumamoto City. Furthermore, it provides a reference for Kumamoto City’s future post-disaster recovery and reconstruction planning.

scholarly journals Multi-Temporal Built-Up Grids of Brazilian Cities: How Trends and Dynamic Modelling Could Help on Resilience Challenges?

2021 ◽  
Vol 13 (2) ◽  
pp. 748
Author(s):  
Iana Rufino ◽  
Slobodan Djordjević ◽  
Higor Costa de Brito ◽  
Priscila Barros Ramalho Alves
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Cellular Automata ◽  
Land Use Change ◽  
Spatial Pattern ◽  
Urban Growth ◽  
Spatial Information ◽  
Dynamic Modelling ◽  
Urban Models ◽  
Extreme Hazards

The northeastern Brazilian region has been vulnerable to hydrometeorological extremes, especially droughts, for centuries. A combination of natural climate variability (most of the area is semi-arid) and water governance problems increases extreme events’ impacts, especially in urban areas. Spatial analysis and visualisation of possible land-use change (LUC) zones and trends (urban growth vectors) can be useful for planning actions or decision-making policies for sustainable development. The Global Human Settlement Layer (GHSL) produces global spatial information, evidence-based analytics, and knowledge describing Earth’s human presence. In this work, the GHSL built-up grids for selected Brazilian cities were used to generate urban models using GIS (geographic information system) technologies and cellular automata for spatial pattern simulations of urban growth. In this work, six Brazilian cities were selected to generate urban models using GIS technologies and cellular automata for spatial pattern simulations of urban sprawl. The main goal was to provide predictive scenarios for water management (including simulations) and urban planning in a region highly susceptible to extreme hazards, such as floods and droughts. The northeastern Brazilian cities’ analysis raises more significant challenges because of the lack of land-use change field data. Findings and conclusions show the potential of dynamic modelling to predict scenarios and support water sensitive urban planning, increasing cities’ coping capacity for extreme hazards.

scholarly journals Study on the Urban Fringe Based on the Expansion–Shrinking Dynamic Pattern

2021 ◽  
Vol 13 (10) ◽  
pp. 5718
Author(s):  
Changqing Sui ◽  
Wei Lu
Keyword(s):  
Land Use ◽  
Urban Planning ◽  
Land Use Planning ◽  
Urban Landscape ◽  
Rapid Development ◽  
Urban Expansion ◽  
Urban Fringe ◽  
Spatial Form ◽  
Architectural Form ◽  
Ecological Protection

The urban fringe, as a part of an urban spatial form, plays a considerably major role in urban expansion and shrinking. After decades of rapid development, Chinese cities have advanced from a simple expansion stage to an expansion–shrinking-coexistence stage. In urban shrinking and expansion, the urban fringe shows different characteristics and requirements for specific aspects such as urban planning, land use, urban landscape, ecological protection, and architectural form, thereby forming expanding and shrinking urban fringes. A comprehensive study of expanding and shrinking urban fringes and their patterns is theoretically significant for urban planning, land use, planning management, and ecological civilisation construction.

scholarly journals A Cellular Automata Model for Integrated Simulation of Land Use and Transport Interactions

2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Land Use Change ◽  
Urban Studies ◽  
Particle Swarm Algorithm ◽  
Cellular Automata Model ◽  
Integrated Simulation ◽  
The Road ◽  
Ca Model ◽  
The City

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.

scholarly journals ANALISIS PERUBAHAN PENGGUNAAN LAHAN MENJADI LAHAN TERBANGUN PASCA PERPINDAHAN IBUKOTA KABUPATEN SUKABUMI DI WILAYAH TELUK PALABUHANRATU

2019 ◽  
Vol 21 (3) ◽  
pp. 407
Author(s):  
Yuda Pringgo Bayusukmara ◽  
Baba Barus ◽  
Akhmad Fauzi
Keyword(s):  
Land Use ◽  
Markov Chain ◽  
Land Use Change ◽  
Landsat Imagery ◽  
Beach Sand ◽  
Bay Area ◽  
Future Situation ◽  
Type Of Land Use ◽  
Key Variables ◽  
Spatial Plan

The determination of the Capital of Sukabumi Regency had implications on Palabuhanratu Bay area in terms of the physical area marked by the change of land use. This research was begun by analyzing land use change using Landsat imagery. Markov Chain and CA-Markov Chain method were used to predict land use change. Prospective Structural Analysis assume that the future is different from the past and is not imposed, but can be built. MICMAC method were used to determine key variables in influencing the change of land use into built-area. The results showed that in the period of post-relocation, the built-up area had a significant increase than the period of pre-relocation. The prediction results of 2030 indicate the type of land use which had a significant decrease from 2016-2030 were beach sand and waterbodies. The type of land use which had higher increase was built-up area and shrub. The key variables that influence the change of land use into built-up area in Palabuhanratu Bay area in the present situation are distance to the city center, Regional Spatial Plan policy, and slope. In future situation, variables such as distance to cities, Regional Spatial Plan policy, and the proportion of paddy field would be the key variables in influencing the change of land use into built-up area.

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