scholarly journals Integrasi Analisis Spasial dan Statistik untuk Identifikasi Pola dan Faktor Determinan Perkembangan Kota Yogyakarta.

2021 ◽  
Vol 35 (2) ◽  
Author(s):  
Bowo Susilo ◽  
Mirza Rizal Afani ◽  
Safira Ihdanisa Hidayah
Keyword(s):  
Land Use ◽  
Statistical Analysis ◽  
Spatial Analysis ◽  
Urban Growth ◽  
Transportation Network ◽  
Ring Road ◽  
Special Analysis ◽  
Local Roads ◽  
Main Determinants ◽  
Determinant Factor

Abstrak Analisis spasial  adalah metode analisis yang mempunyai ciri spesifik karenanya banyak digunakan dalam berbagai bidang kajian. Perkembangan kota adalah salah satunya. Penelitian ini bertujuan untuk mengidentifikasi pola perkembangan kota dan faktor determinannya menggunakan integrasi analisis spasial dan statistik. Area di dalam jalan lingkar Yogyakarta dipilih sebagai daerah penelitian. Peta penggunaan lahan tahun 1993 dan 2014 digunakan sebagai data utama. Kombinasi analisis spasial dan statistik digunakan untuk mengidentifikasi faktor determinan perkembangan kota. Pertambahan lahan terbangun digunakan sebagai indikator perkembangan kota. Hasil penelitian menunjukkan, selama periode kajian, lahan terbangun bertambah kurang lebih 766,35 hektar. Secara umum pola perkembangan kota adalah merata namun ada kecenderung lebih intensif di bagian Timur Laut daerah penelitian. Hasil analisis terhadap tujuh variabel yang diduga berhubungan dengan perkembang kota, menunjukkan hanya 2 variabel yang mempunyai signifikan dan dapat disebut sebagai determinan perkembangan kota. Variabel tersebut adalah jarak terhadap jalan lingkar Yogyakarta (ring road) dan jarak terhadap jalan lokal.  Abstract : Spatial analysis is often termed as special analysis therefore widely used in various studies. The study of urban growth is one among them. Identifying the pattern of urban growth and its determinant factors was the objective of this research. The study was located in the inner area of the ring road of Yogyakarta. Multitemporal land use data i.e. 1993 and 2014 were used as main data in this study. Spatial analysis was utilized to identify the distribution as well as the pattern of urban growth. A combination of spatial and statistical analysis was used to identify the determinant factor of urban growth. This study shows that during 199 and 2014, about 766,4 hectares of non-built-up land in the study area had been converted into built-up land. The pattern of urban growth was dispersed in general but the direction tends to the northeast of the study area. Transportation network, particularly the ring road and local roads were considered as the main determinants of urban growth.     

scholarly journals Evaluasi Alih Fungsi Lahan Pertanian Menjadi Lahan Industri di Kabupaten Kendal Tahun 2014 - 2018

2020 ◽  
Vol 3 (1) ◽  
pp. 71
Author(s):  
Fitrian Adiyaksa ◽  
Prijono Nugroho Djojomartono, Ph.D.
Keyword(s):  
Land Use ◽  
Statistical Analysis ◽  
Spatial Analysis ◽  
Data Collection ◽  
Land Use Change ◽  
Agricultural Land ◽  
Industrial Park ◽  
Industry Location ◽  
The Government ◽  
Spatial Plan

Kendal Regency is an agrarian area with a percentage of agricultural land 54.57% of the total land area of 1,002.23 km2. With the government programs of construction of the Kendal Industrial Park (Kendal Industrial Park) which was built on an area of 2,700 hectares. Most of the land used for development of the Kendal Industrial Area is agricultural land. The purpose of this study was evaluated about the suitability of land use change from agricultural land into industrial land in Kendal Regency in period of 2014 to 2018 with the Kendal Regency Regional Spatial Plan in 2011 - 2031. The research method was quantitative. The method of data collection in this study was census about industry location permit and land use change permit in Kendal Regency from 2014 to.d. 2018. The data collection technique in this research was documents review about secondary data from related institutions. Data analysis techniques in this study were divided into spatial analysis and statistical analysis. The spatial analysis technique used Geographic Information System (GIS) concept, and used overlay method on digital maps. Statistical analysis used to produce information in tables and graphs. The results of this study indicate about the growth in period 2014 to 2018, the number of land use permits increase to 134 permits devide by 34 industry location permit with covering area about 732,792 m2 and 100 land use change permit with covering area equal 690,303 m2. In addition, about 91.18% of industrial location permits and 62% of land use change permits from agriculture into industries in accordance with the Kendal Regional Spatial Plan between 2011 to 2031.

scholarly journals Optimization of a Novel Urban Growth Simulation Model Integrating an Artificial Fish Swarm Algorithm and Cellular Automata for a Smart City

2021 ◽  
Vol 13 (4) ◽  
pp. 2338
Author(s):  
Xinxin Huang ◽  
Gang Xu ◽  
Fengtao Xiao
Keyword(s):  
Land Use ◽  
Sustainable Development ◽  
Urban Growth ◽  
Smart City ◽  
Urban Land ◽  
Urban Land Use ◽  
Growth Simulation ◽  
Artificial Fish Swarm Algorithm ◽  
Artificial Fish Swarm ◽  
Ca Model

As one of the 17 Sustainable Development Goals, it is sensible to analysis historical urban land use characteristics and project the potentials of urban sustainable development for a smart city. The cellular automaton (CA) model is the widely applied in simulating urban growth, but the optimum parameters of variables driving urban growth in the model remains to be continued to improve. We propose a novel model integrating an artificial fish swarm algorithm (AFSA) and CA for optimizing parameters of variables in the urban growth model and make a comparison between AFSA-CA and other five models, which is used to study a 40-year urban land growth of Wuhan. We found that the urban growth types from 1995 to 2015 appeared relatively consistent, mainly including infilling, edge-expansion and distant-leap types in Wuhan, which a certain range of urban land growth on the periphery of the central area. Additionally, although the genetic algorithms (GA)-CA model and the AFSA-CA model among the six models due to the distance variables, the parameter value of the GA-CA model is −15.5409 according to the fact that the population (POP) variable should be positively. As a result, the AFSA-CA model regardless of the initial parameter setting is superior to the GA-CA model and the GA-CA model is superior to all the other models. Finally, it is projected that the potentials of urban growth in Wuhan for 2025 and 2035 under three scenarios (natural urban land growth without any restrictions (NULG), sustainable urban land growth with cropland protection and ecological security (SULG), and economic urban land growth with sustainable development and economic development in the core area (EULG)) focus mainly on existing urban land and some new town centers based on AFSA-CA urban growth simulation model. An increasingly precise simulation can determine the potential increase area and quantity of urban land, providing a basis to judge the layout of urban land use for urban planners.

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 A Novel Efficiency Measure Model for Industrial Land Use Based on Subvector Data Envelope Analysis and Spatial Analysis Method

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Chen ◽  
Rui He ◽  
Qun Wu
Keyword(s):  
Land Use ◽  
Spatial Analysis ◽  
Spatial Autocorrelation ◽  
Industrial Development ◽  
Efficiency Measure ◽  
Industrial Land ◽  
Envelope Analysis ◽  
Land Use Efficiency ◽  
Industrial Land Use ◽  
Use Efficiency

With the rapid and unbalanced development of industry, a large amount of cultivated land is converted into industrial land with lower efficiency. The existing research is extensively concerned with industrial land use and industrial development in isolation, but little attention has been paid to the relationship between them. To help address this gap, the paper creates a new efficiency measure method for industrial land use combining Subvector Data Envelope Analysis (DEA) with spatial analysis approach. The proposed model has been verified by using the industrial land use data of 30 Chinese provinces from 2001 to 2013. The spatial autocorrelation relationship between industrial development and industrial land use efficiency is explored. Furthermore, this paper examines the effects of industrial development on industrial land use efficiency by spatial panel data model. The results indicate that the industrial land use efficiency and the industrial development level in the provinces of eastern region are higher than those of the western region. The spatial distribution of industrial land use efficiency shows remarkable positive spatial autocorrelation. However, the level of industrial development has obvious negative spatial autocorrelation since 2009. The improvement of industrial development has a significant positive impact on the industrial land use efficiency.

scholarly journals Urban Growth and Land-Use Structure in Two Mediterranean Regions

SAGE Open ◽  
2014 ◽  
Vol 4 (4) ◽  
pp. 215824401456119 ◽  
Author(s):  
Luca Salvati ◽  
Margherita Carlucci
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Land Use Structure ◽  
Mediterranean Regions

scholarly journals Modeling Past, Present, and Future Urban Growth Impacts on Primary Agricultural Land in Greater Irbid Municipality, Jordan Using SLEUTH (1972–2050)

2021 ◽  
Vol 10 (4) ◽  
pp. 212
Author(s):  
Rana N. Jawarneh
Keyword(s):  
Land Use ◽  
Growth Model ◽  
Urban Growth ◽  
Agricultural Land ◽  
Urban Land Use ◽  
Agricultural Area ◽  
Grand Challenge ◽  
Negative Consequences ◽  
Urban Growth Model ◽  
Rate Of Increase

Urban expansion and loss of primarily agricultural land are two of the challenges facing Jordan. Located in the most productive agricultural area of Jordan, Greater Irbid Municipality (GIM) uncontrolled urban growth has posed a grand challenge in both sustaining its prime croplands and developing comprehensive planning strategies. This study investigated the loss of agricultural land for urban growth in GIM from 1972–2050 and denoted the negative consequences of the amalgamation process of 2001 on farmland loss. The aim is to unfold and track historical land use/cover changes and forecast these changes to the future using a modified SLEUTH-3r urban growth model. The accuracy of prediction results was assessed in three different sites between 2015 and 2020. In 43 years the built-up area increased from 29.2 km2 in 1972 to 71 km2 in 2015. By 2050, the built-up urban area would increase to 107 km2. The overall rate of increase, however, showed a decline across the study period, with the periods of 1990–2000 and 2000–2015 having the highest rate of built-up areas expansion at 68.6 and 41.4%, respectively. While the agricultural area increased from 178 km2 in 1972 to 207 km2 in 2000, it decreased to 195 km2 in 2015 and would continue to decrease to 188 km2 by 2050. The district-level analysis shows that from 2000–2015, the majority of districts exhibited an urban increase at twice the rate of 1990–2000. The results of the net change analysis of agriculture show that between 1990 and 2000, 9 districts exhibited a positive gain in agricultural land while the rest of the districts showed a negative loss of agricultural land. From 2000 to 2015, the four districts of Naser, Nozha, Rawdah, and Hashmyah completely lost their agricultural areas for urbanization. By 2050, Idoon and Boshra districts will likely lose more than half of their high-quality agricultural land. This study seeks to utilize a spatially explicit urban growth model to support sustainable planning policies for urban land use through forecasting. The implications from this study confirm the worldwide urbanization impacts on losing the most productive agricultural land in the outskirts and consequences on food production and food security. The study calls for urgent actions to adopt a compact growth policy with no new land added for development as what is available now exceeds what is needed by 2050 to accommodate urban growth in GIM.

Water—An Element of Land-Use and Urban Growth Policies

1976 ◽  
Vol 102 (1) ◽  
pp. 81-94
Author(s):  
William R. Walker ◽  
William E. Cox
Keyword(s):  
Land Use ◽  
Urban Growth

scholarly journals A New Heuristic Method for Transportation Network and Land Use Problem

2016 ◽  
Vol 8 (3) ◽  
pp. 94 ◽  
Author(s):  
Mouhamadou A.M.T. Bald ◽  
Babacar M. Ndiaye
Keyword(s):  
Land Use ◽  
Transportation Network ◽  
Heuristic Method ◽  
Optimization Techniques ◽  
Geographical Information ◽  
Mixed Integer ◽  
Individual Agent ◽  
The Road ◽  
Agent Simulation ◽  
Network Costs

Our paper deals with the Transportation Network and Land Use (TNLU) problem.  It consists in finding, simultaneously, the best location of urban area activities, as well as of the road network design that may minimize the moving cost in the network, and the network costs. We propose a new mixed integer programming formulation of the problem, and a new heuristic method for the resolution of TNLU. Then, we give a methodology to find locations or relocations of some Dakar region amenities (home, shop, work and leisure places), that may reduce travel time or travel distance. The proposed methodology mixes multi-agent simulation with combinatorial optimization techniques; that is individual agent strategies versus global optimization using Geographical Information System. Numerical results which show the effectiveness of the method,  and simulations based on the scenario of Dakar city are given.

Sign in / Sign up

Export Citation Format

Share Document