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Geoplanning : Journal of Geomatics and Planning
Published by Universitas Diponegoro
ISSN : -     EISSN : 23556544     DOI : -
Core Subject : Science,
Earth & Planetary Sciences
Geoplanning, Journal of Geomatics and Planning (E-ISSN: 2355-6544), is an open access journal (e-journal) focusing on the scientific works in the field of applied geomatics technologies for urban and regional planning including GIS, Remote Sensing and Satellite Image Processing. This journal is published every six months in April and October (2 issues per year), and developed by the Geomatics and Planning Laboratory, Department of Urban and Regional Planning, Diponegoro University
Arjuna Subject : -
Articles 181 Documents
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Three Decades of River Bank Erosion and Accretion Appraisal Along Bank Line Shifting Trend in A Transboundary River, Teesta Floodplain of Bangladesh Parvej, Masud; Masum, Kazi Mohammad; Fahim, Md. Sahinur Islam; Redowan, Mohammad
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.1-16

Abstract

As the world's largest delta, Bangladesh possesses distinctive geomorphology dominated by transboundary rivers, making it vulnerable to climatic hazards such as river erosion that causes severe loss of land and other resources. Using four Landsat imageries of 1991, 2001, 2011 and 2021 the current study analyzed the amount and trend of river erosion and accretion on the Teesta Floodplain of Bangladesh for three decades. Findings indicate that the Teesta River experiences severe bank erosion and accretion regularly, causing bank line shifting and thus significant affecting the land-use/land-cover (LULC) change of the area. Between 1991 and 2021, approximately 194 square kilometers of land were eroded, while an equivalent area of land was accreted. Approximately 1072 km2 of agricultural land was converted into other categories, with the settlement area gradually increasing. This trend of changes shows that agricultural land and water-bodies will reduce in the next two decades while barren land and settlement areas will increase. The agricultural lands and barren lands have a greater chance of being occupied by settlement areas. At the same time, crop production patterns will move to those crops that require less water due to the reduction of water-bodies. Reduced flow during the dry season and massive discharge during the monsoon from India's Gajoldoba barrage caused massive siltation and erosion. Comprehensive river management and restoration with an intergovernmental treaty or understanding between India and Bangladesh is required to resolve this crisis in the long run.
Comparative Study for Understanding the Spatial Growth Pattern of Pune and Jaipur City from 1990 to 2020 Lohiya, Puja Rouhit; Sheladiya, Kaushikkumar Prafulbhai; Patel, Chetan R
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.135-150

Abstract

Understanding the urban form, conducting spatial change analysis of an urban area using time-series data, and identifying urban growth drivers play a crucial part in framing policies for sustainable planning practices. In this research, an inverse S-curve function is employed to examine Urban Land Densities (ULD) derived from concentric divisions of urban regions in Pune and Jaipur. The inverse S-curve quantitatively describes variations in Urban Land Density (ULD) from the urban center to the outskirts. Consequently, the parameters identified during the curve-fitting process offer information about the urban form of the cities, shedding light on their rate of expansion, level of compactness, and the nature of sprawl. Built-up area is determined from the Landsat datasets for the years 1991, 1996, 2001, 2006, 2011,2016, and 2021. The analysis confirmed that Pune revealed an increase in sprawling, expansive, and low-density development. As a city that has grown linearly, Jaipur has experienced more constrained growth than Pune. Additionally, the fitted ULD equation provided an accurately fitted radius for Jaipur, but not for Pune, highlighting the equation's shortcomings. The direction analysis and understanding of the change in the slopes of the S curve further led to identifying growth drivers, broadly classified into proximity, government intervention, socioeconomic, and physical factors. The study can help achieve future research objectives in simulating and modeling urban growth and creating policies to deal with related problems.
Optimizing GISTARU: Evaluating a GIS-Based Platform’s Contribution to Indonesian Spatial Planning for Smart City Development Rachmawati, Rini; Ghiffari, Rizki Adriadi; Wijdani, Ach Firyal; Qonita, Maryam; Tania, Novirene; Pigawati, Bitta
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.57-70

Abstract

GISTARU (Geographic Information System for Spatial Planning) is a web-based and GIS-based information system in Indonesia that makes it easy for the public to access spatial information. In GISTARU, there are an Online Spatial Plan (RTR Online) and an Interactive Detailed Spatial Plan (RDTR) application. This research aims to; Identify and analyze the use of the Online Spatial Plan (RTR Online) website and Interactive Detailed Spatial Planning (RDTR Interactive) application in GISTARU and as well as identify the requirements for developing the website and application. In addition, the research outcomes are analyzed in terms of their contribution to the development of smart cities. Data was collected through in-depth interviews and website searches related to GISTARU, RTR Online, and RDTR Interactive at the national, provincial, and district or city levels. In-depth interview analysis is carried out through selected cases. The results showed that most regions in Indonesia have an integrated spatial pattern with GISTARU. However, there were inconsistencies in the RTR Online and RDTR Interactive data entry in GISTARU. In the meantime, relatively few spatial structure data are integrated with RTR Online. The Interactive Detailed Spatial Plan application is now operational in the majority of Indonesian provinces. The only province in which all regions have implemented interactive RDTR is DKI Jakarta. This Geographic Information System for Spatial Planning is very useful for achieving the goal of smart cities, particularly related to public services in the smart governance dimension.
Assessment of Random Forest and Neural Network for Improving Land Use/ Land Cover Mapping from LIDAR Data and RGB Image: A Case Study of Magaga-El-Menia Governorate, Egypt Taha, Lamyaa Gamal EL-Deen; Mandouh, Asmaa Ahmed
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.17-30

Abstract

The goals of this article are to improve classification of land use/land cover information using LIDAR data and RGB images, as well as to compare the performance of various supervised machine learning classifiers (random forest and neural network) for extracting land use/land cover information. The 3D coordinates are first transferred to a high-resolution raster via interpolation. Height and intensity raster grids are formed. Second, various raster maps - a normalized digital surface model (nDSM), the difference of returns, and the LiDAR intensity image -are combined to create a multi-channel image. Five scenarios with different combinations were created. Finally, on the five separate datasets, several classifications based on random forest and neural network classifiers were performed. The classification findings were subjected to a quantitative accuracy check. A comparison of these five methodologies has been conducted. Following that, morphological operations were used to eliminate noise. The results revealed also that the fourth approach is the best followed by the third approach then the last approach then the second approach followed by the first approach. It was discovered that random forest classification outperforms neural network classification in terms of classification accuracy.
Assessing Smart Growth Implementation and Its Impact on Urban Sprawl: A Content and GIS-Based Analysis Krisnaputri, Nilam Atsirina; Pramitasari, Angrenggani; Sembiring, Elsa Try Julita; Aditantri, Rahmatyas; Rahmi, Lela Alifah; Prathivi, Maria Dini Gilang
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.151-166

Abstract

Smart growth (SG) is a set of policies and regulations implemented to mitigate the expansion of urban sprawl. SG is a planning approach that prioritizes creating compact, mixed-use, and high-density urban areas to foster sustainable regional development. Nevertheless, it is important to note that both theoretically and practically SG is still undergoing refinement to ensure its suitability and applicability within the context of land control regulations in each location. The Bodetabek region in Indonesia is seeing rapid growth. Nevertheless, amidst this exponential expansion, the extent to which the local government has embraced SG concepts in its regional development remains uncertain. The primary aim of this study is to assess the extent to which SG concepts have been implemented in the domain of urban planning within the Bodetabek region. The methods of this paper are divided into several stages. Firstly, an examination is conducted to determine the extent to which SG concepts have been incorporated into the planning policy of the Bodetabek area. Subsequently, an assessment is made of the urban sprawl that has occurred in the Bodetabek area for 20 years. Lastly, an analysis is performed to investigate the pattern of urban expansion in the Bodetabek. The findings in this research show that the SG idea has been implemented in the Bodetabek region. The correlation between the proportion of SG content in Bodetabek local laws and land cover changes is evident. There is an inverse relationship between the proportion of SG content in local legislation and the extent of urban development in the Bodetabek area. Naturally, these findings provide preliminary evidence or indicators that can serve as a reminder of the potential of SG to curb urban sprawl, effectively aligning with established theoretical frameworks.
Comparison of Land Cover Change Prediction Models: A Case Study in Kedungkandang District, Malang City Hariyanto, Annisa Dira; Yudono, Adipandang; Wicaksono, Agus Dwi
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.85-98

Abstract

The infrastructure of Malang City is currently being directed towards the eastern and southeastern parts, Kedungkandang District. Infrastructure plays an important role in the aspect of land cover change, which raises the complexity of the emergence of urban forms and dynamics. This study compares three models, Artificial Neural Network (ANN), Logistic Regression (LR), and Multi-Criteria Evaluation (MCE), to predict changes in land cover in the Kedungkandang District using the Cellular Automata (CA) approach. The prediction results indicate that the ANN and MCE models have the highest overall Kappa values (prediction accuracy), while the ANN and LR models have the highest location-specific Kappa values. However, overall, the ANN model demonstrates the highest accuracy and performance among the other two models. This research makes a significant contribution to urban planning by highlighting the importance of using machine learning-based technology to predict land cover changes in Malang City, particularly in the Kedungkandang District. Stakeholders can leverage this technology to design more effective and sustainable infrastructure policies and implement preventive measures to mitigate the negative impacts of uncontrolled urban growth.
The Impact of Urban Green Space on The Urban Heat Island Phenomenon – A Study Case in East Jakarta, Indonesia Rizki, Amalia Rakhmawati; Tumuyu, Sri Setiawati; Rushayati, Siti Badriyah
Geoplanning: Journal of Geomatics and Planning Vol 11, No 1 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.1.31-42

Abstract

The urban heat island (UHI) phenomenon has grown disastrous in many major cities across the world, including Jakarta. The more cities worldwide that suffer this scenario, the faster global warming will occur, making it a global concern that has to be given priority. The goal of this study was to determine the distribution of UHI in each region and how land use planning may mitigate it. East Jakarta was found to have the highest UHI in Jakarta. The method of this study used spatial analysis, which consists of land surface temperature (LST) and normalized vegetation difference index (NDVI) using GIS. The analysis results showed that the area with the highest LST and the widest coverage of UHI in East Jakarta is in Cakung where the temperature has increased to 4oC, while the area with the lowest LST and the narrowest coverage of the UHI area is Cipayung. Meanwhile, Cipayung has the most urban green space and urban forest, making up roughly 5.6% and 1.96% of its area, while Matraman has the least, making up 1.09% of its area without any urban forest. Therefore, there are no areas in East Jakarta that meet the requirements of 10% urban forest and 30% green space. However, the region with the lowest UHI distribution is Cipayung, which has the greenest urban area. It shows how the presence of urban forests, affects the distribution of UHI in metropolitan areas.
Modelling Groundwater Vulnerability to Contamination using DRASTIC Model through Geospatial Techniques over Northern Kwazulu-Natal, South Africa Mabogo, Nomonde Shantel Tshiwela; Odera, Patroba Achola
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.111-122

Abstract

This study models groundwater vulnerability to contamination in three northern district municipalities (Amajuba, Zululand and Umkhanyakude) in KwaZulu Natal province in South Africa using GIS-based DRASTIC model. The method considers seven parameters: depth to water table (D), recharge (R), aquifer media (A), soil media (S), topography (T), impact of the vadose zone (I), and hydraulic conductivity (C). DRASTIC parameter maps are generated in ArcGIS environment and relevant weights assigned. A weighted overlay analysis is then employed to generate the groundwater vulnerability map for the study area. Finally, the groundwater vulnerability map is combined with land use/cover to obtain groundwater pollution risk map. Results indicate that 22, 45, 21 and 12% of the total area are under low, moderate, high, and very high groundwater contamination vulnerable zones, respectively. Low, moderate, high, and very high groundwater pollution risk are found in 23, 40, 27 and 10% of the total area, respectively. These results can be used by environmental managers, spatial planers and other policy makers in formulating integrated and sustainable development plans to ensure optimal groundwater exploitation and conservation in the northern KwaZulu Natal region.
Investigating the Relationship between Resilience and the Situation of Risk in the Face of Natural Disasters Raeisian, Meysam; Ilanloo, Maryam; Ebrahimi, Leila
Geoplanning: Journal of Geomatics and Planning Vol 10, No 2 (2023)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.10.2.83-96

Abstract

Creating cities resilient in multiple dimensions could be appropriate and economic thanks to strengthening town structure to alter crises and natural and unnatural hazards. Therefore, the aim of this study is to investigate the connection between the resilience in the city of Sari and the risk situation towards natural disasters. Data analysis with geographic information system (GIS), Decision making trial and evaluation laboratory (DEMATEL), and analytic network process (ANP) is carried out. The variables studied to explain the resilience of the city of Sari are the conditions of open spaces, incompatible land uses, land bed, building resistance, access, property, density, which are evaluated in the presented paradigm. After collecting the scores and multiplying the scores by the coefficients obtained from the statistical procedures of an urban resilience model, the final computation of urban resilience in Sari was performed. The results show that its value has been calculated as 5.44398, which shows that there is an urgent need to develop programs and reform structures to increase the level of resilience in this urban area. One of the effective factors in urban resilience is the high level of social participation in crisis, which is necessary in this area. It is suggested to create educational programs in the community, so that they can maximize the level of communication and participation of employees.
Urban Sprawl Symptoms in Bandar Lampung Suburban Area, Indonesia Ansar, Zulqadri; de Vries, Walter Timo
Geoplanning: Journal of Geomatics and Planning Vol 11, No 2 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.2.205-222

Abstract

This research investigates the phenomenon of urban sprawl in a medium-sized metropolitan area, specifically Bandar Lampung. It identifies the primary characteristics of urban sprawl and its impact on suburban development. The goal is to pinpoint the symptoms of urban sprawl through its spatial patterns, which may form systemically or sporadically, and predict their occurrence. The underlying theory is that urban sprawl symptoms can be observed in the rapid population growth and land use change in suburban areas. Using statistical and spatial analysis (Geographic Information System), we studied the population growth rate and land use alterations in Bandar Lampung and its suburbs over the past decade. Our study reveals that the population in the suburbs is growing faster than in the city. Over a decade, there has been a land use change to 1255 ha of built-up land. This change is strongly associated with the development of public infrastructure and road networks. We recommend implementing smart growth strategies to manage urban sprawl in medium-sized cities in Indonesia. Additionally, we provide a critical review of the causal relationships driving urban sprawl and its widespread impacts

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