Land use dynamics in peri-urban areas and their implications on the urban growth and form: the case of Dar es Salaam, Tanzania

2005 ◽  
Vol 29 (1) ◽  
pp. 113-135 ◽  
Author(s):  
Wilbard Jackson Kombe
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Urban Areas ◽  
Dar Es Salaam ◽  
Land Use Dynamics

scholarly journals Land Use Dynamics and Variations in Sprawl across Municipalities in the Bamenda Urban-scape from 1996-2018

2020 ◽  
Vol 13 (4) ◽  
pp. 224
Author(s):  
Fombe Lawrence F. ◽  
Acha Mildred E.
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Urban Areas ◽  
Agricultural Land ◽  
Pearson Correlation ◽  
Town Planning ◽  
Land Values ◽  
Landsat Images ◽  
Land Use Dynamics ◽  
Spatiotemporal Analyses

Worldwide urban areas are having increasing influence over the surrounding landscape. Peri-urban regions of the world are facing challenges which results from sprawl with increasing problems of social segregation, wasted land and greater distance to work. This study seeks to examine the trends in land use dynamics, urban sprawl and associated development implications in the Bamenda Municipalities from 1996 to 2018. The study made use of the survey, historical and correlational research designs. The purposive and snowball techniques were used to collect data. Spatiotemporal analyses were carried out on Landsat Images for 1996, 2008, and 2018 obtained from Earth Explorer, Erdas Image 2014 and changes detected from the maps digitized. The SPSS version 21 and MS Excel 2016 were used to analyze quantitative and qualitative data. The former employed the Pearson correlation analysis. Analysis of land use/land cover change detection reveals that built-up area has increased significantly from 1996 to 2018 at the detriment of forest, wetland and agricultural land at different rates within each municipality. These changes have led to invasion of risk zones, high land values, uncoordinated, uncontrolled and unplanned urban growth. The study suggests that proactive planning, use of GIS to monitor land use activities, effective implementation of existing town planning norms and building regulations, are invaluable strategies to sustainably manage urban growth in Bamenda.

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 Land use and urban growth

1980 ◽  
Author(s):  
Φίλιππος Βαρελής
Keyword(s):  
Land Use ◽  
Real Estate ◽  
South America ◽  
Urban Growth ◽  
Urban Areas ◽  
Urban Land Use ◽  
Land Economics ◽  
North And South America ◽  
North And South ◽  
Economics Research

The main concern of the author has been with the use of land and urban growth as it relates to profit making investment while at the same time struggling to preserve a standard of quality in development and re-development. The author could not list all the probable land problems of the next two decades in North and South America; and if he could, there would be no space within this book to do so. The geographical diversity which characterises the United States will alter the importance of various problems from region to region and state to state. It was possible in this book however, to suggest the broadest examples of land problems and urban growth likely to sharpen during the next few decades, and to suggest some of the more important lines of work. The author's ten years of experience in Real Estate Investment in North and South America and years of study in various universities and numerous interviews as well as discussions with experts revealed that the most important land problems for the near future lie in the field of urban land use and urban growth. More than two-thirds of physical property is now found in urban areas, and most of the net future investment will occur there together with population growth. The author through his land experience found it difficult to contrast present land use and land arrangements with any sort of ideal, yet, the judgment may be offered that the present diverges more from the ideal in urban areas than in any other land use situation. He has looked for the point of leverage at which public policy might improve circumstances and free private energies to contribute to, not work against, the broader public interests. The author found that a greater share of all future land economics research will be directed toward the city. Each major land use problem requires land economics research; the greatest need lies with urban, suburban and metropolitan areas. By and large, very little economic land research has been directed toward cities. Many valuable studies should be made by city planners, political scientists and sociologists. Comparable to the many improvements of rural land use there has been little or nothing done for urban areas. The author felt that during the next several decades the older parts of virtually all cities will have to be re-built, other parts of the same cities must have their value and productivity maintained by group action; therefore, vast new additions will take place around its boundaries. Theobjective of all this is a pleasant, productive and prosperous city to live in. The impending changes within and around cities willinvolve substantial physical conversion of land. One major field of research will be directed toward the design of the most efficient and livable urban areas. Landscape architects, transportation and utility engineers and other specialists may make the major contribution in this direction. Even on this matter of physical layout the land economist should have something to contribute. He should be particularly concerned with avoidance of the massive waste of land which characterises urban areas today. A consideration of improvements on or to land leads rather directly into the matter of intensity of land use. Land is improved in order to be used more fully, or more intensively; and more intensive use usually recmires improvements in order to be effective. However, intensity and improvements are not invariably and directly correlated, and in any event intensity is a decree of use, whereas improvements are a form of investment in land which in turn leads to real estate profit. 4 The author directs his book "Real Estate as an Investment" in Appendix "Al", for further references.

scholarly journals Modelling dynamics of land use and ecosystem services changes in the Luanhe River Basin in China

2021 ◽  
Author(s):  
Jiren Xu ◽  
Brian Barrett ◽  
Fabrice Renaud
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
River Basin ◽  
Urban Growth ◽  
Water Bodies ◽  
Future Scenarios ◽  
Luanhe River Basin ◽  
Potential Index ◽  
Land Use Dynamics ◽  
Ecosystem Disservices

<p>Quantifying land use dynamics is central to evaluate changes in terrestrial and aquatic ecosystems. It also allows for understanding how ecosystem services (ES) and ecosystem disservices (EDS) are affected by human interventions in the landscape. Finally, it can lead to the development of improved future land use management strategies for the achievement of the Sustainable Development Goals (SDGs). The Luanhe River Basin (LRB) is the most afforested river basin in North China and provides multiple ecosystem services which are related to several SDGs (e.g. SDG 6: Clean Water and Sanitation, 7: Affordable and Clean Energy, and 13: Climate Action). In this study, four scenarios: Trend, Expansion, Sustainability, and Conservation were developed based on different socioeconomic development and environmental protection targets as well as local plans and policies. Local stakeholders were consulted to develop these scenarios and to explore land use dynamics of the LRB and major challenges that the river basin may face by 2030. Land use change was modelled with CLUMondo and ES and EDS were characterised using capacity matrices. The ecosystem services potential index (ESPI) and ecosystem disservices potential index (EDSPI) was calculated, and ES and EDS hotspots and coldspots were identified. The study found that forests and water bodies provided the highest overall ES capacity, while the lowest scores were recorded for built-up and unused land areas. Built-up land and cropland provided the highest overall EDS capacity, while the lowest EDS scores were for water bodies. The forests and water bodies, which were widespread in the upper-middle reaches of the basin, were hotspots of provisioning services, regulating services, cultural services and ecological integrity, while the hotspots of EDS were concentrated in the built-up land areas and the croplands, which were mainly distributed in the downstream of the LRB. Modelling results indicated that the LRB was likely to experience agricultural (crop and livestock) intensification and urban growth under all four future scenarios. The cropland intensity and the urban growth rate were much higher under the historical trend (Trend) scenario compared to those with more planning interventions (Expansion, Sustainability, and Conservation scenarios). The most significant increase of livestock density in grassland was projected under the Expansion scenario. Unless the forest area and biodiversity conservation targets are implemented (Conservation scenarios), the forest areas are projected to decrease under three scenarios by 2030. The ESPI of all the ES declined from 1980 to 2018 and would continue to decline until 2030 without sustainable and conservation development strategies. Compared with the EDSPI in 1980, the EDSPI under all future scenarios in 2030 was projected to increase. This study calls for establishing and implementing sustainable environmental protection policies as well as cross-regional and trans-provincial eco-compensation schemes for minimising trade-offs in ES. The methodological framework and findings of this study can guide regional sustainable development and rational utilisation of land resources in the LRB and other comparable river basins, and will be valuable for policy and planning purposes to the pursuance of SDGs at the sub-national scale.</p>

scholarly journals Modeling Urban Growth and Land Use Transition Using SLEUTH Model: The Case of Dilla City, Ethiopia

2020 ◽  
Author(s):  
Yanit Mekonnen ◽  
Abel Hailu
Keyword(s):  
Land Use ◽  
Urban Development ◽  
Urban Sprawl ◽  
Urban Growth ◽  
Urban Areas ◽  
Input Image ◽  
Urban Transport ◽  
Growth Trend ◽  
Land Use Transition ◽  
Sleuth Model

Abstract Urban growth / urban sprawl are the extension of a residential region into the surrounding area. The negative face of urban development is urban sprawl, criticizing the cause of environmental deterioration, growing inequality and diminishing the viability of aesthetic and urban areas. An effective and efficient planning of urban development and changes in land use and its effects on the environment needs, among other important details, details on development trends and patterns. Over the years, several models of urban growth have been developed and used to predict trends of growth. SLEUTH models are used to simulate and predict urban growth and land use transition for 2020-2050 in the City of Dilla (Ethiopia) in the analysis of Geographic Information System (GIS). The word SLEUTH was derived from the model's input image specifications: slope, land cover, exclusion, urban, transport, and Hill shade. Input data preparation used a cumulative time series dataset of 30 years, i.e. 1989, 1999, 2009 and 2019, such as historical topographical maps and satellite imagery. The SLEUTH model uses the parameters of the best fit growth rule by narrowing coefficients in the calibration mode and passing them down to forecast potential urban growth trends, creating different probability maps and LULC maps. The models generated future urban growth pattern predicted in the 31 years' from 2019, there will be nearly 41.14% urban rise in 2020, 52.95% in 2030, 59.91% in 2040 and 64.30% in 2050. In general, the extension of the urban growth trend introduces new spreading centers that are indicative of urban growth.

scholarly journals Assessment of Urban Growth Patterns using Spatio-temporal Data and Analysis

2019 ◽  
Vol 7 (5) ◽  
Author(s):  
Said Masoud Bakhit ◽  
Sbai Abdelkader
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Spatial Modeling ◽  
Urban Areas ◽  
Growth Patterns ◽  
Temporal Data ◽  
Spatial Trend ◽  
Growth Trends ◽  
Critical Issues ◽  
Spatio Temporal

Modeling urban growth trends has become one of the critical issues in the last decades. This study aims to evaluate spatio-temporal urban growth trends using spatial modeling. For this purpose, four land-use maps were used to visualize historical urban growth trends in Seremban, Malaysia. Land Change Modeller (LCM) was used to evaluate the spatial trend of Land-use and land-cover (LULC) in Seremban. The results of the study confirm that urban areas in Seremban hugely increased from 1984 to 2010. The main reasons to increase urban areas are that economic and population growth in Malaysia in general and Seremban in particular. This study confirms that the LCM model is one of the effective spatial techniques that should be taken into account in urban planning studies.

scholarly journals SPATIOTEMPORAL LAND USE CHANGE ANALYSIS AND FUTURE URBAN GROWTH SIMULATION USING REMOTE SENSING: A CASE STUDY OF ANTALYA

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 657-662
Author(s):  
N. Aslan ◽  
D. Koc-San
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Urban Growth ◽  
Urban Areas ◽  
Learning Algorithm ◽  
Urban Expansion ◽  
Atmospheric Correction ◽  
Landsat 8 ◽  
Land Use Pattern ◽  
Use Pattern

Abstract. The objectives of this study are: to create land-use maps by 5-year interval from 1995 to 2015, to analyse the land use change and urban development, and to estimate future land-use pattern and urban growth for the years: 2030, 2045 and 2060. Antalya, which is the 5th biggest city of Turkey, was selected as study area. In this study, there are basically three stages: (i) preprocessing and preparing additional bands, (ii) spatiotemporal land use detection using image classification and (iii) land use simulation using urban growth models. Firstly, atmospheric correction was applied to the Landsat 5 TM and Landsat 8 OLI images and land-cover indices, ASTER Global Digital Elevation Model (GDEM), and Nighttime data were prepared to use them as additional bands during the classification process. Secondly, Landsat images were classified using Random Forest (RF) machine-learning algorithm. Thirdly, urban simulations were performed for the years 2005, 2010, and 2015 and land-use pattern and urban growth was estimated for the years 2030, 2045 and 2060. The RF classification accuracies range from 84.44% to 92.82%. The urban areas increased from 49.56 km2 to 96.25 km2 from 1995 to 2015. The simulation accuracies were computed above 80%. According to the 2030, 2045 and 2060 simulation results, the urban areas were computed as 133.61 km2, 148.27 km2 and 156.85 km2, respectively. As a result, it was seen that the urban area of Antalya has almost doubled between the years 1995–2015 and the urban expansion is expected to continue increasing up to 1960.

Carbon Emissions and Sequestrations in Urban Landscapes and their Various and Changing Land and Water Covers

2020 ◽  
Author(s):  
Jessica Page ◽  
Elisie Jonsson ◽  
Zahra Kalantari ◽  
Georgia Destouni
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Urban Areas ◽  
Ghg Emissions ◽  
Water Bodies ◽  
Urban Region ◽  
Land Uses ◽  
Stockholm County ◽  
Carbon Neutrality ◽  
Sequestration Potential

<p>In order to meet the dual challenges of providing for a growing global population and mitigating climate change effects, it is necessary to consider how urban areas can grow while achieving carbon neutrality, which is a complex and difficult task. It requires increased understanding of carbon dynamics in the coupled urban social-ecological systems, including process-level understanding and distinction of natural and human-perturbed carbon exchanges and their interactions. A better understanding of these complex systems and processes could, for example, facilitate enhanced use of nature-based solutions (NBS) to help mitigate and offset the greenhouse gas (GHG) emissions of urban regions. This paper addresses part of this challenge, aiming to further understanding of the complex interactions between urban growth and GHG emissions implied by associated land use changes, including the influence of water bodies within the urban region on the carbon source-sink dynamics.</p><p> </p><p>The study involves a comprehensive analysis of the land-use related GHG emissions and removals (through carbon sequestration) in the urban region of Stockholm County in Sweden, which is currently experiencing large urban growth and rapid population growth. Stockholm County includes large urban areas, forested areas (both old and young preserved natural forests and managed forestry), farmlands, some wetlands, and a number of smaller towns and semi-urban areas. Geographically, much of the county is located on the Stockholm Archipelago – a series of islands in the Baltic Sea – and the remainder is dominated by many lakes, including Lake Mälaren, which is Sweden’s third largest lake and the main water supply for the capital city Stockholm. The water coverage prevailing in the county allows for investigation of its effects in combination and relation to the variable and changing urban and other land cover distribution on the regional GHG emissions and sequestrations. These effects may be considerable and are addressed in this study.</p><p> </p><p>Results include an inventory of existing and planned land uses in Stockholm County, and the GHG emissions or sequestration potentials associated with each of these. The land uses include urban and semi-urban areas, different types of natural and cultivated vegetation, agriculture, forestry, water bodies and wetlands. The study provides a map of Stockholm County’s GHG emission and sequestration potential, which is further analysed to advance our understanding of how future development in the county can be shaped to effectively minimize urban GHG emissions and maximize carbon sequestrations. The inclusion of water bodies in this GHG inventory proved to be particularly interesting; while lakes and other water bodies are often considered as ‘blue’ nature-based solutions (NBS) for maintaining and providing a number of ecosystem services in urban regions, our results indicate the lakes in Stockholm County as considerable sources of GHG emissions. The contribution of inland waters to the regional GHG emissions emphasizes the need and importance of improving rather than deteriorating the regional carbon sequestration potential in the urbanization process. This can be achieved by using and enhancing other types of NBS, such as rehabilitation of green areas like forests, in order to achieve carbon neutrality in this urban region.</p>

Sign in / Sign up

Export Citation Format

Share Document