scholarly journals Spatio-Temporal Dynamics of Municipal Planning, a case study of Barahathawa Municipality, Nepal

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Kedar Dahal ◽  
Krishna P. Timilsina
Keyword(s):  
Urban Growth ◽  
Agricultural Land ◽  
Temporal Dynamics ◽  
Transportation Network ◽  
Urban Expansion ◽  
Infrastructure Development ◽  
Rural Settlements ◽  
Goods And Services ◽  
Spatial And Temporal Dynamics ◽  
Spatio Temporal

The Rapid transformation of rural settlements into municipalities in Nepal has brought significant changes in land use and urban expansion patterns mostly through the conversion of agricultural land into the built-up area. The issue is studied taking a case of rapidly growing town Barahathawa Municipality of Sarlahi District. After the declaration of the municipality, several new roads have been opened and upgraded; and the municipality has well-connected to the national transportation network. After promulgated the Constitution of Nepal 2015 and elected local bodies, the municipality budget has been increased significantly as a result of increasing municipal investment in socio-economic and physical infrastructure development and environmental protection which have attracted people, goods, and services creating the zone of influence. One of the changes found in the municipality is the increasing built-up area and expansion of urban growth through the decreasing agricultural land. Urban growth has been observed taking place around the Barahathawa Bazaar and main roadsides. The built-up area in Barahathawa municipality has remarkably increased by 184% with the decrease of shrub and agricultural land within 10 years. Implications of such spatial and temporal dynamics have been a core issue of urban planning in most of the newly declared municipalities in Nepal

scholarly journals Dimensions of land use change and implications in spatial planning of emerging town Bedkot municipality, Kanchanpur district, Nepal

2020 ◽  
Vol 13 ◽  
pp. 185-200
Author(s):  
Kedar Dahal ◽  
Krishna Prasad Timalsina
Keyword(s):  
Land Use ◽  
Transportation Network ◽  
Urban Expansion ◽  
Development Planning ◽  
Infrastructure Development ◽  
Rural Settlements ◽  
Goods And Services ◽  
Agriculture Land ◽  
Spatial Changes ◽  
Spatial Dimensions

Rapid transformation of rural settlements into municipalities in Nepal has brought significant changes in land use and urban expansion patterns mostly through the conversion of agriculture land into the built up area. The issue is studied taking a case of rapidly growing Tarai town of Bedkot Municipality of Kanchanpur District. This study is based on field interaction, observation, and available data review. After the declaration of Bedkot as a municipality, several new roads have been opened and upgraded; and the municipality is well connected to the national transportation network. After promulgated the Constitution of Nepal, 2015 and activated the elected local body, the municipality budget has been increased significantly as a result of increasing municipal investment on socio-economic and physical infrastructure development and environmental protection which have attracted people, goods and services creating it as the zone of influence of the surroundings. Rapid spatial changes have been observed with inflow of population in the municipality. One of the changes found is the increasing built-up area by 3.6 percent and expansion of urban area through decreasing the agriculture land by 3.5 percent. Urban growth has been observed taking place along the highway corridor clustering at nodal junctions and some other potential locations. Implications of such spatial dimensions have been core issue of urban development planning in most of the newly declared municipalities in Nepal.

Urban Sprawl and the Quantification of Spatial Dispersion

2013 ◽  
pp. 129-142 ◽  
Author(s):  
Federico Martellozzo ◽  
Keith C. Clarke
Keyword(s):  
Urban Sprawl ◽  
Urban Growth ◽  
Urban Form ◽  
Spatial Dispersion ◽  
Temporal Dynamics ◽  
Urban Expansion ◽  
Natural Land ◽  
Spatio Temporal ◽  
Environment Agency ◽  
Over Time

The uncontrolled spread of cities into their surrounding rural and natural land is an issue of high popular interest and has been the topic of considerable research. Urban sprawl remains controversial, even though among scholars there are still no unambiguous definitions of sprawled zones--their spatial form and their causative factors--nor about the urban processes and dynamics involved. In order to create such a definition, the authors describe the spatio-temporal patterns of urban form in a study area noted for sprawl, focusing on measures that can detect the degree of urban spatial dispersion over time (Batty 2002). The data used is a fusion of archived thematic maps, classified satellite imagery, census data, and forecast maps of future urban scenarios. The area investigated was the northeastern province of Pordenone in Italy, which is particularly relevant and curious because despite being a small city, it was assessed in 2002 as one of the most explicative examples of sprawl in Europe by the European Environment Agency. The authors analyzed urban growth mainly through the evolution of urban patterns over time, hence sprawl is considered as a specific case of growth that drives urban expansion from denser and compact extent to an unorganized and fragmented pattern. How the spatio-temporal dynamics of urban growth are quantified is crucial for urban planners, as knowledge of amounts and rates allows more efficient selection and application of policy and could help researchers to better understand urban sprawl’s etiology.

scholarly journals Peri-Urbanization and Rurbanization in Leiria City: the Importance of a Planning Framework

2018 ◽  
Vol 10 (7) ◽  
pp. 2501 ◽  
Author(s):  
José Barros ◽  
Alexandre Tavares ◽  
Mário Monteiro ◽  
Pedro Santos
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Temporal Dynamics ◽  
Urban Expansion ◽  
Land Use Changes ◽  
Planning Framework ◽  
Spatial And Temporal Dynamics ◽  
Central Portugal ◽  
The Stability ◽  
The City

The objective of this study is to evaluate the spatial and temporal dynamics of land use in the city of Leiria, which is located in central Portugal, and its relation to the planning framework. The analysis is based on land-use change recognition in the period 1958–2011, calculation of the stability grade indicator, the losses and gains between classes, and the rate of artificialization. The results show an increase of the artificial areas, namely in continuous and discontinuous urban fabric, contrasting with a continuous decrease of the agricultural land-use classes, giving origin to peri-urbanization and rurbanization processes. We can also observe a large fragmentation of the landscape in the city of Leiria, representing rapid urban expansion that is fundamentally related to the increase of residential and industrial areas, and afterwards, tertiary growth. This study also demonstrated the relation of a land-use and planning framework that works as a driving force for land-use changes. This underlines the importance of strategic regional planning instruments in managing urban sprawl and the artificialization processes of medium-sized cities.

Spatial and temporal dynamics of Pacific capelin Mallotus catervarius in the Gulf of Alaska: implications for ecosystem-based fisheries management

2020 ◽  
Vol 637 ◽  
pp. 117-140 ◽  
Author(s):  
DW McGowan ◽  
ED Goldstein ◽  
ML Arimitsu ◽  
AL Deary ◽  
O Ormseth ◽  
...  
Keyword(s):  
Temporal Dynamics ◽  
Marine Ecosystem ◽  
Gulf Of Alaska ◽  
Data Series ◽  
Limited Information ◽  
Important Species ◽  
Multiple Data ◽  
Spatial And Temporal Dynamics ◽  
Spawning Areas ◽  
Spatio Temporal

Pacific capelin Mallotus catervarius are planktivorous small pelagic fish that serve an intermediate trophic role in marine food webs. Due to the lack of a directed fishery or monitoring of capelin in the Northeast Pacific, limited information is available on their distribution and abundance, and how spatio-temporal fluctuations in capelin density affect their availability as prey. To provide information on life history, spatial patterns, and population dynamics of capelin in the Gulf of Alaska (GOA), we modeled distributions of spawning habitat and larval dispersal, and synthesized spatially indexed data from multiple independent sources from 1996 to 2016. Potential capelin spawning areas were broadly distributed across the GOA. Models of larval drift show the GOA’s advective circulation patterns disperse capelin larvae over the continental shelf and upper slope, indicating potential connections between spawning areas and observed offshore distributions that are influenced by the location and timing of spawning. Spatial overlap in composite distributions of larval and age-1+ fish was used to identify core areas where capelin consistently occur and concentrate. Capelin primarily occupy shelf waters near the Kodiak Archipelago, and are patchily distributed across the GOA shelf and inshore waters. Interannual variations in abundance along with spatio-temporal differences in density indicate that the availability of capelin to predators and monitoring surveys is highly variable in the GOA. We demonstrate that the limitations of individual data series can be compensated for by integrating multiple data sources to monitor fluctuations in distributions and abundance trends of an ecologically important species across a large marine ecosystem.

scholarly journals Modeling of Urban Growth Using Cellular Automata and GIS Case of Benslimane in Morocco

2020 ◽  
Author(s):  
BENCHELHA MOHAMED ◽  
Benzha Fatiha ◽  
Rhinane Hassan ◽  
BENCHELHA SAID ◽  
BENCHELHA TAOUFIK ◽  
...  
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Urban Growth ◽  
Urban Expansion ◽  
Confusion Matrix ◽  
Spatial Transformation ◽  
Urban Growth Modeling ◽  
Main Component Analysis ◽  
Spatio Temporal ◽  
Main Component

In this study, our goal was to research land-use change by combining spatio–temporal land use/land cover monitoring (LULC (1989–2019) and urban growth modeling (1999–2039) in Benslimane, Morocco, to determine the effect of urban growth on different groups based on cellular automata (CA) and geospatial methods. A further goal was to test the reliability of the AC algorithm for urban expansion modeling. To do this, four years of satellite data were used at the same time as population density, downtown distance, slope, and ground road distance. The LULC satellite reported a rise of 3.8 km2 (318% variation) during 1989–2019. Spatial transformation analysis reveals a good classification similarity ranging from 89% to 91% with the main component analysis (PCA) technique. The statistical accuracy between the satellite scale and the replicated built region of 2019 gave 97.23 %t of the confusion matrix overall accuracy, and the region under the receiver operational characteristics (ROC) curve to 0.94, suggesting the model's high accuracy. Although the constructed area remains low relative to the total area of the municipality's territory, the LULC project shows that the urban area will extend to 5,044 km2 in 2019, principally in the western and southwestern sections. In 2019–2039, urban development is expected to lead to a transformation of the other class (loss of 1,364 km2), followed by vegetation cover (loss of 0.345 km2). In spatial modeling and statistical calculations, the GDAL and NumPy Python 3.8 libraries were successful.

Spatiotemporal Pattern Analysis of Rapid Urban Expansion Using GIS and Remote Sensing

2010 ◽  
Vol 1 (2) ◽  
pp. 55-70 ◽  
Author(s):  
Hyun Joong Kim
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Growth ◽  
Urban Areas ◽  
Temporal Dynamics ◽  
Urban Expansion ◽  
Local Scale ◽  
Spatiotemporal Pattern ◽  
Land Use Land Cover ◽  
Modeling Studies

Rapidly growing urban areas tend to reveal distinctive spatial and temporal variations of land use/land cover in a locally urbanized environment. In this article, the author analyzes urban growth phenomena at a local scale by employing Geographic Information Systems, remotely sensed image data from 1984, 1994, and 2004, and landscape shape index. Since spatial patterns of land use/land cover changes in small urban areas are not fully examined by the current GIS-based modeling studies or simulation applications, the major objective of this research is to identify and examine the spatial and temporal dynamics of land use changes of urban growth at a local scale. Analytical results demonstrate that sizes, locations, and shapes of new developments are spatio-temporally associated with their landscape variations and major transportation arteries. The key findings from this study contribute to GIS-based urban growth modeling studies and urban planning practices for local communities.

scholarly journals Spatio-Temporal Dynamics of Landuse/Land Cover Around NTPC Using High Resolution Satellite Imagery

2020 ◽  
pp. 101-109
Keyword(s):  
Rapid Growth ◽  
Agricultural Land ◽  
Environmental Changes ◽  
Temporal Dynamics ◽  
Geographical Area ◽  
Considerable Change ◽  
Central Component ◽  
Land Resource ◽  
Spatio Temporal ◽  
Level I

Land is becoming scarce resource due to population growth and industrialization. Rapid growth of human activities can also be attributed as one of the reasons. Thus, it becomes an important task to regulate land resource for sustainable development and environmental protection. LULC change studies have become a central component in current strategies for managing and planning land resources and monitoring environmental changes. In this paper an attempt has been made to bring out spatio-temporal dynamics of LULC patterns of NTPCRamagundam and its surrounding environment by using multi-temporal satellite data of Landsat-4, IRS P6 LISS-III and IRS 2 LISS-IV and GIS techniques for the years 1984, 2005, 2011, 2015, 2018. The methodology includes base map preparation having features like Road (SH), Rail, Canal, River, Stream, Tanks, Forest boundary and other administrative boundaries from SOI topo sheet and the features digitized are updated on satellite images. Interpretation of study area for LULC feature extraction on satellite imageries of respective years is carried with Nrsc’s standard LULC classification system. Change detection statistics can be generated out of 5 LULC thematic layers obtained and analysed specially with respect to NTPC environs. Results from this study shows the percentage of geographical area occupied by built-up land, agricultural land, forests, wasteland and waterbodies of level-I LULC features were 10.27%, 60.68%, 6.61%, 11.81%, 10.63% respectively in 1984 and were changed into 21.41%, 48.51%, 5.97%, 12.77%, 11.34% respectively in 2018. This analysis shows a rapid growth in built-up land and fall in agricultural land between 1984 and 2018. There is a considerable change in the remaining features from 1984 and 2018.

scholarly journals SPATIO-TEMPORAL ANALYSIS AND MODELING OF URBAN GROWTH OF BIRATNAGAR CITY, NEPAL

2019 ◽  
Vol IV-5/W2 ◽  
pp. 97-102
Author(s):  
S. Shrestha
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Growth ◽  
Urban Expansion ◽  
Urban Change ◽  
Support Vector ◽  
Land Use Land Cover ◽  
Spatial Metrics ◽  
Land Cover Map ◽  
Spatio Temporal

Abstract. Increasing land use land cover changes, especially urban growth has put a negative impact on biodiversity and ecological process. As a consequences, they are creating a major impact on the global climate change. There is a recent concern on the necessity of exploring the cause of urban growth with its prediction in future and consequences caused by this for sustainable development. This can be achieved by using multitemporal remote sensing imagery analysis, spatial metrics, and modeling. In this study, spatio-temporal urban change analysis and modeling were performed for Biratnagar City and its surrounding area in Nepal. Land use land cover map of 2004, 2010, and 2016 were prepared using Landsat TM imagery using supervised classification based on support vector machine classifier. Urban change dynamics, in term of quantity, and pattern was measured and analyzed using selected spatial metrics and using Shannon’s entropy index. The result showed that there is increasing trend of urban sprawl and showed infill characteristics of urban expansion. Projected land use land cover map of 2020 was modeled using cellular automata-based approach. The predictive power of the model was validated using kappa statistics. Spatial distribution of urban expansion in projected land use land cover map showed that there is increasing threat of urban expansion on agricultural land.

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