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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 7 Documents
 1 
Search results for , issue "Vol 11, No 2 (2024)" : 7 Documents clear
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
Agroforestry-Silvopastoral Systems Suitability for the Plateau Landforms: Devrekani Plateau (Northern Turkiye) Duran, Celalettin
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.11.2.139-148

Abstract

The Devrekani Plateau, located in the Kure Mountains massif (Kastamonu-Türkiye), is a geomorphological unit with flat areas ranging between 1000 and 1300 meters in altitude. Agriculture, animal husbandry, and forestry activities are standard on the plateau. Due to environmental constraints, versatile, holistic, and sustainable land use plans are needed in such high areas. This study examines land use patterns compatible with natural environmental conditions for the Plateau Landforms. Agroforestry-silvopastoral systems where agriculture, pasture, forest lands, and recreational functions are applied together have been evaluated in the study area. Criteria that have a high relationship with land use have been identified. Using Geographic Information Systems, weighted overlay analysis was carried out with factor maps regarding Lithology, Slope, Elevation, and Actual Land Use. The model output reveals that the regions between agriculture and forest are the most suitable for the agroforestry-silvopastoral systems (outside urban areas) and recreation. The most suitable areas for mixed land use plans on the plateau are generally karst areas with sparse vegetation, located above 1200 meters, and having a 6-12% slope. The lower border of these areas is agricultural areas with flat or nearly flat slopes, commonly formed by alluviums. The upper limit consists of forest areas with steep slopes surrounded by high hills. Implementing agroforestry-silvopastoral land use models on plateau landforms can be an effective strategy for sustainable environmental management and land use.
Informal Settlement Characterization and Socio-Economic Vulnerability Assessment in Kolkata Metropolitan City, India Banerjee, Shravani; Diksha, Diksha; Prasad, Alisha; Kumar, Amit
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.11.2.121-138

Abstract

The study investigates the physical, social, and economic environment of the Kolkata Metropolitan Area (KMA) to elucidate the living conditions of informal settlements and its influence on the local environment using geoinformatics and multi-criteria decision making-analytical hierarchical process (MCDM-AHP). The informal settlements were delineated using high-resolution Google Earth imagery and generic ontology informal settlements. knowledge considering building characteristics, building density, locations of the dwelling units, and their characteristics. The study exhibits that most informal settlements were concentrated in the wards located in the eastern and central parts of the city. The neighborhood land-use functions of the major informal settlements indicated that the informal settlements were highly influenced by green space (R2=0.97), followed by water bodies (R2=0.74), unplanned settlement (R2=0.68) and planned settlement (R2=0.67) in KMA. In addition, the informal settlements were closely associated with very low relief zones (3m to 13m) followed by moderate relief zones (13-23m). The municipal ward-level analysis of the physical-socio-economic health conditions exhibited that most of the areas located in the low vulnerable zones (53.71 km2; primarily in southern, and eastern periphery), followed by very highly vulnerable zones (43.09 km2; primarily in central and northern parts). The study provides an insight into urban areas with special reference to informal settlements and necessitates the implication of effective policy for poverty alleviation. This study encourages the availability of real-time data that can improve mitigation activities in the event of a health disaster, such as SARS COVID-19 through methods for qualitative investigation of disadvantaged locations in Kolkata. 
Traffic Noise Absorption and Propagation in A Three-Dimensional Spatial Environment Wickramathilaka, Nevil Vidyamanee; Ujang, Uznir; Azri, Suhaibah; Choon, Tan Liat; Rupasinghe, Attygalage Ranjith
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.11.2.149-164

Abstract

The impact of noise barriers on noise propagation is vital for traffic noise calculations and visualizations. Noise barriers create a major noise reduction. Green belts are the most common type of noise barrier to mitigate road traffic noise. The width, height, and surface area of leaves a green belt, as well as the noise absorption coefficient of leaves, are vital for noise absorption. This review aims to compare the characteristics and performance of green belts barriers built for traffic noise reduction. Individual tree canopies play the main role in absorbing noise in green belts. Therefore, identifying the canopy's properties is important. The side scan and nadir scan from the LiDAR survey were used to detect the tree canopy points cloud. The voxel-based, convex hull, and concave hull methods are used to visualize tree canopies in three-dimensional (3D). Concave hull provides an extract fitting surface than convex hull visualization. However, these hull surfaces do not provide accurate estimation of surface area of leaves. Further, voxel-based horizontal layers through the voxel-based profiling describes a significant method to calculate surface area of leaves in tree canopies. Establishing green belts as barriers is more cost-effective, making the former better for developing countries.
Groundwater Nitrate Modeling in Tehran Metropolis Using Artificial Neural Network and Kriging Methods Nickbeen, Fatemeh; Salmanmahiny, Abdolrassoul
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.11.2.177-188

Abstract

This study examined the relationship between groundwater quality and land use in Tehran. For this purpose, the possible relationship between the types of land uses and the concentration of nitrate in groundwater parameters was modelled using a Multi-Layer Perceptron (MLP) artificial neural network in geographic information system (GIS). The optimal network model was selected based on the mean root mean square error (RMSE) and correlation coefficient. Interpolation through Kriging was also performed to compare its results with those of the predicted model derived from an artificial neural network. The results showed that the neural network has a high capability for predicting and modelling groundwater nitrate concentration compared to the Kriging method. The high accuracy (RMSE: 0.003) of the neural network makes it a useful tool in relevant management issues. Our results of network sensitivity analysis were similar to scientific findings regarding the factors influencing the formation of nitrate in groundwater. Model outputs in the form of maps, tables, and graphs allowed the study of the role of each variable and the extent of its impact on groundwater quality. Performing various simulations and modelling of groundwater pollution provides an effective benchmark towards optimizing the management, control, planning, and decision-making in urban areas and can lead to economic and environmental savings.
Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed Jumadi, J; Danardono, Danardono; Priyono, Kuswaji Dwi; Roziaty, Efri; Masruroh, Heni; Rohman, Arif; Amin, Choirul; Hadibasyir, Hamim Zaky; Fikriyah, Vidya N.; Nawaz, Muhammad; Sattar, Farha; Lotfata, Aynaz
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.11.2.189-204

Abstract

Indonesia is experiencing a rise in natural disasters due to its geographical position within a tropical region, with the Upper Solo River watershed exhibiting a heightened risk of flooding. This region has already suffered numerous floods due to excessive precipitation and insufficient drainage. Susceptibility, hazard, and risk studies have been conducted to investigate this phenomenon but have been limited to specific regions within the catchment area. This study aims to construct a GIS-based flood risk model using Open-Access Spatial Data (OASD) based on diverse physical characteristics, urbanization levels, and population. We used several OASD, including SRTM, Sentinel 2 MSI, GPM v6, NASA-USDA Enhanced SMAP Global Soil Moisture Data, GHS-SMOD R2023A - Global Human Settlement Layers, and GHSL: Global Population Surfaces 1975-2030 (P2023A). The model integrates the risk parameters to identify flood risk using a weighted overlay in ArcGIS. The results demonstrate spatial heterogeneity in flood risk throughout the watershed. The result also reveals that Surakarta City, with a high proportion of its area in the 'High' (57.3%) and 'Very High' (29.54%) risk categories, is at the highest risk of flooding within the watershed. The study enhances understanding of this topic by comprehensively evaluating flood hazards, vulnerabilities, and risks. It highlights the significance of utilizing low-cost OASD to improve flood preparedness and response strategies.
Statistical Analysis of Short-Term Shoreline Change Behavior Along The Southern Cilacap Coasts of Indonesia Mutaqin, Bachtiar W.; Munandar, Ariko V.; Jatmiko, Jatmiko; Harini, Rika; Purnama, Ig.L. Setyawan
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.11.2.165-176

Abstract

There is a threat of extreme waves and a moderate risk level of coastal erosion in Bunton Village. Based on the preliminary assessment, there is huge erosion of the shoreline and visible changes in the shoreline temporally. However, there is no statistical data on short-term shoreline change behavior in this area. Hence, this research aims to analyze statistically the short-term shoreline change behavior to understand the conditions and phenomena that occur on the coast of Bunton Village. Landsat images spanning the years 2002 to 2022, with recording intervals of 5 years each, were used to identify the shoreline data, which was later analyzed using the Digital Shoreline Analysis System (DSAS). Statistical analyses of short-term shoreline change behavior were obtained using the End Point Rate (EPR) and Net Shoreline Movement (NSM) approaches. Over a 20-year period, the Bunton coastal area experiences dynamic changes that are primarily due to erosion, with an average distance change of -255.5 meters and an average speed of -14.6 meters per year (very high erosion). The existence of the electric steam power plant (ESPP) in Adipala, which built a breakwater in 2012, has been proven to increase the erosion process. Shoreline change in this area can affect various landuses and tourism activities as well as trigger environmental problems in the Bunton coastal area.

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