Characterizing growth types and analyzing growth density distribution in response to urban growth patterns in peri-urban areas of Lianyungang City

Abstract. The fastest urbanization is occurring in the Global South which includes many developing nations in Asia. However, a rapid and unplanned urban growth could threaten the sustainability of the process. A key step towards a sustainable urban development is to better understand interdependencies amongst urban growth patterns, infrastructure and socio-economic indicators. Here we chose Bangkok, Thailand as a megacity case study to assess the spatio-temporal urban growth dynamics and specifically its dependency with road density at intra-city scales. The SLEUTH urban growth model is further applied for predicting future expansion over the next decade and to assess the future intra-city expansion. Urban expansion patterns for Bangkok were generated for 1987 and 2017 using Landsat derived urban land-cover maps. Open Street Map (OSM) is used to generate a 2017 road density map. The urban expansion (1987–2017) was observed to follow a radially outward expanding pattern inland, with the logarithmic urban expansion rate having an inverted concave trend with road density. The rising/falling limbs then indicated an increase/decrease of urban expansion for which a road density “turning point” is readily identified and further used to develop a road density-based zoning map that highlights the different intra-city urban expansion rates. The SLEUTH predicted urban growth till year 2027 which also showed expansion outward from existing urban areas. The future expansion trend is also consistent with the turning point trend. This study showed that such spatial-temporal analysis of urban expansion coupled with SLEUTH can be useful for investigating likely outcomes of city development plans.

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Revealing patterns of greenspace in urban areas resulting from three urban growth types

Physics and Chemistry of the Earth Parts A/B/C ◽

10.1016/j.pce.2019.02.013 ◽

2019 ◽

Vol 110 ◽

pp. 14-20 ◽

Cited By ~ 1

Author(s):

Yuguo Qian ◽

Yingyun Chen ◽

Cong Lin ◽

Weimin Wang ◽

Weiqi Zhou

Keyword(s):

Urban Growth ◽

Urban Areas ◽

Growth Types

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

Asian Journal of Applied Sciences ◽

10.24203/ajas.v7i5.5975 ◽

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.

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Monitoring Metropolitan Growth Dynamics for Achieving Sustainable Urbanization (SDG 11.3) in Kolkata Metropolitan Area, India

Remote Sensing ◽

10.3390/rs13214423 ◽

2021 ◽

Vol 13 (21) ◽

pp. 4423

Author(s):

Sk Mithun ◽

Mehebub Sahana ◽

Subrata Chattopadhyay ◽

Brian Alan Johnson ◽

Khaled Mohamed Khedher ◽

...

Keyword(s):

Metropolitan Area ◽

Urban Sprawl ◽

Urban Growth ◽

Urban Areas ◽

Metropolitan Areas ◽

Urban Expansion ◽

Growth Dynamics ◽

Growth Patterns ◽

Support Vector ◽

Sustainable Urbanization

The mass accumulation of population in the larger cities of India has led to accelerated and unprecedented peripheral urban expansion over the last few decades. This rapid peripheral growth is characterized by an uncontrolled, low density, fragmented and haphazard patchwork of development popularly known as urban sprawl. The Kolkata Metropolitan Area (KMA) has been one of the fastest-growing metropolitan areas in India and is experiencing rampant suburbanization and peripheral expansion. Hence, understanding urban growth and its dynamics in these rapidly changing environments is critical for city planners and resource managers. Furthermore, understanding urban expansion and urban growth patterns are essential for achieving inclusive and sustainable urbanization as defined by the United Nations in the Sustainable Development Goals (e.g., SDGs, 11.3). The present research attempts to quantify and model the urban growth dynamics of large and diverse metropolitan areas with a distinct methodology considering the case of KMA. In the study, land use and land cover (LULC) maps of KMA were prepared for three different years (i.e., for 1996, 2006, and 2016) through the classification of Landsat imagery using a support vector machine (SVM) classification approach. Then, change detection analysis, landscape metrics, a concentric zone approach, and Shannon’s entropy approach were applied for spatiotemporal assessment and quantification of urban growth in KMA. The achieved classification accuracies were found to be 89.75%, 92.00%, and 92.75%, with corresponding Kappa values of 0.879, 0.904, and 0.912 for 1996, 2006, and 2016, respectively. It is concluded that KMA has been experiencing typical urban sprawl. The peri-urban areas (i.e., KMA-rural) are growing rapidly, and are characterized by leapfrogging and fragmented built-up area development, compared to the central KMA (i.e., KMA-urban), which has become more compact in recent years.

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Three-Fold Urban Expansion in Saudi Arabia from 1992 to 2013 Observed Using Calibrated DMSP-OLS Night-Time Lights Imagery

Remote Sensing ◽

10.3390/rs11192266 ◽

2019 ◽

Vol 11 (19) ◽

pp. 2266 ◽

Cited By ~ 2

Author(s):

Mohammed Alahmadi ◽

Peter M. Atkinson

Keyword(s):

Saudi Arabia ◽

Urban Growth ◽

Urban Areas ◽

Urban Expansion ◽

Urban Morphology ◽

Growth Patterns ◽

Sensor Data ◽

Spatial And Temporal Patterns ◽

Night Time ◽

Time Dynamics

Although Saudi Arabia has experienced very high rates of urbanization, little interest has been given to investigating national and provincial trends in urbanization in space and time. Night-time lights satellite sensor data are considered as a suitable source of imagery for mapping urban areas across large regions. This study uses night-time lights data to analyze the spatial and temporal patterns and dynamics of urban growth in Saudi Arabia between 1992 and 2013 at the national and provincial levels. A hybrid method was applied to ensure the continuity and consistency of the Defense Meteorological Satellite Program (DMSP) Operational Line-Scan System (OLS) of stable night-time (SNT) data through time. As a result of spatial variation in the character of urban areas across Saudi Arabia, different thresholds were used to derive urban areas from the imagery. The extracted urban morphology was assessed using socio-economic data and finer resolution imagery, and accuracy assessment revealed excellent agreement. Based on the rigorous stepwise calibration analysis undertaken here, urban areas in Saudi Arabia were found to have increased three-fold between 1992 and 2013, with most of the increase concentrated in three provinces (Makkah, Riyadh and Eastern). In addition, significant variation was observed in urbanization at the provincial level. The observed high rates of urban growth are aligned with the prosperity and socio-economic development of Saudi Arabia over the last 40 years. The research shows that DMSP-OLS SNT data can provide a valuable source of information for mapping the space–time dynamics of urban growth across very large areas. Such data are required by urban and regional planners, as well as policy makers, for characterizing urban growth patterns, interpreting the drivers of such dynamics and for forecasting future growth, as well as achieving sustainable development management.

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Taking Implementation Seriously in the Evaluation of Urban Growth Management Strategies: “Safeguarding the Future” of the Antwerp City-Region

Land ◽

10.3390/land10020159 ◽

2021 ◽

Vol 10 (2) ◽

pp. 159

Author(s):

Clemens de Olde ◽

Stijn Oosterlynck

Keyword(s):

Urban Growth ◽

Urban Areas ◽

Growth Management ◽

Management Strategies ◽

Housing Prices ◽

Policy Formulation ◽

Land Values ◽

Implementation Phase ◽

The Future ◽

Urban Growth Management

Contemporary evaluations of urban growth management (UGM) strategies often take the shape of quantitative measurements of land values and housing prices. In this paper, we argue that it is of key importance that these evaluations also analyse the policy formulation and implementation phases of growth management strategies. It is in these phases that the institutions and discourses are (trans)formed in which UGM strategies are embedded. This will enable us to better understand the conditions for growth management policies’ success or failure. We illustrate this point empirically with the case of demarcating urban areas in the region of Flanders, Belgium. Using the Policy Arrangement Approach, the institutional dynamics and discursive meanings in this growth instrument’s formulation and implementation phase are unravelled. More specifically, we explain how the Flemish strategic spatial planning vision of restraining sprawl was transformed into one of accommodating growth in the demarcation of the Antwerp Metropolitan Area, epitomised by two different meanings of the phrase “safeguarding the future.” In conclusion, we argue that, in Antwerp, the demarcation never solidified into a stable policy arrangement, rendering it largely ineffective. We end by formulating three recommendations to contribute to future attempts at managing urban growth in Flanders.

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Using Land Cover, Population, and Night Light Data for Assessing Local Temperature Differences in Mainz, Germany

Journal of Applied Meteorology and Climatology ◽

10.1175/jamc-d-14-0124.1 ◽

2015 ◽

Vol 54 (3) ◽

pp. 658-670 ◽

Cited By ~ 10

Author(s):

Jenny Lindén ◽

Jan Esper ◽

Björn Holmer

Keyword(s):

Twentieth Century ◽

Light Intensity ◽

Central Europe ◽

Urban Growth ◽

Urban Areas ◽

Surface Coverage ◽

Daily Maximum ◽

Source Areas ◽

Maximum Temperatures ◽

The City

AbstractUrban areas are believed to affect temperature readings, thereby biasing the estimation of twentieth-century warming at regional to global scales. The precise effect of changes in the surroundings of meteorological stations, particularly gradual changes due to urban growth, is difficult to determine. In this paper, data from 10 temperature stations within 15 km of the city of Mainz (Germany) over a period of 842 days are examined to assess the connection between temperature and the properties of the station surroundings, considering (i) built/paved area surface coverage, (ii) population, and (iii) night light intensity. These properties were examined in circles with increasing radii from the stations to identify the most influential source areas. Daily maximum temperatures Tmax, as well as daily average temperatures, are shown to be significantly influenced by elevation and were adjusted before the analysis of anthropogenic surroundings, whereas daily minimum temperatures Tmin were not. Significant correlations (p < 0.1) between temperature and all examined properties of station surroundings up to 1000 m are found, but the effects are diminished at larger distance. Other factors, such as slope and topographic position (e.g., hollows), were important, especially to Tmin. Therefore, properties of station surroundings up to 1000 m from the stations are most suitable for the assessment of potential urban influence on Tmax and Tmin in the temperate zone of central Europe.

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Modeling spatial variations of urban growth patterns in Chinese cities: The case of Nanjing

Landscape and Urban Planning ◽

10.1016/j.landurbplan.2008.11.010 ◽

2009 ◽

Vol 91 (2) ◽

pp. 51-64 ◽

Cited By ~ 190

Author(s):

Jun Luo ◽

Y.H. Dennis Wei

Keyword(s):

Urban Growth ◽

Spatial Variations ◽

Growth Patterns ◽

Chinese Cities

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Avaliação geoespacial da expansão do aglomerado urbano Crajubar utilizando inteligência geográfica

Revista Brasileira de Geografia Física ◽

10.26848/rbgf.v13.1.p423-433 ◽

2020 ◽

Vol 13 (1) ◽

pp. 423

Author(s):

Rudá Peixoto Teles ◽

Maria Lucineide Gomes da Silva ◽

Antonio Junior Alves Ribeiro

Keyword(s):

Population Growth ◽

Urban Growth ◽

Urban Areas ◽

Google Earth ◽

Spatial Expansion ◽

Northeast Region ◽

Government Institutions ◽

Economic Information ◽

Infrastructure Health ◽

Official Information

Na região Nordeste do Brasil existe uma gama de aglomerações urbanas, dentre as quais se destaca a conurbação urbana, conhecida como Crajubar, localizada na Região Metropolitana do Cariri (RMC), no sul do Ceará, onde existe uma percepção de ausência de limites urbanos entre os três municípios: Crato, Juazeiro do Norte e Barbalha. Assim, este trabalho busca compreender a dinâmica da expansão do Crajubar, por meio de técnicas de Geoprocessamento. Para tanto, utilizou-se arquivos vetoriais da delimitação territorial com mancha urbana do ano de 2005 e imagens orbitais dos satélites GeoEye do ano de 2018. Para o processamento dos dados foi utilizado o software QGIS. O Google Earth foi usado para identificar estabelecimentos responsáveis por atraírem crescimento urbano para o seu entorno, ainda foram utilizadas informações oficiais de crescimento populacional e informações econômicas geradas pelos órgãos oficiais. Como resultados, geraram-se arquivos vetoriais com duas manchas urbanas da região, sendo uma de 2005 e outra de 2018, as quais apresentam a conurbação dos três municípios para as duas situações. A partir do mapa gerado, construiu-se o entendimento dos fatores que impulsionam a expansão espacial urbana do Crajubar, tais como serviços públicos nas áreas de infraestrutura, saúde e educação. Evaluation of expansion of Crajubar urban agglomerate using geomatics A B S T R A C TIn the Northeast region of Brazil there is a range of urban agglomerations, among which the urban conurbation known as Crajubar. It is located in the metropolitan area of Cariri (MAC), in the south of Ceará, where there is a perception of the absence of urban boundaries between the three towns: Crato, Juazeiro do Norte and Barbalha. This work tries to understand the dynamics of the expansion of Crajubar, using Geoprocessing techniques. It was used shapefiles of the territorial delimitation with urban area of the year of 2005 and GeoEye satellites images of the year of 2018. The QGIS software was used for data processing. The Google Earth was used to identify companies and institutions responsible for attracting urban growth for the around their area, official information on population growth and economic information generated by government institutions was also used. As a result, shapefiles were generated with two urban areas in the region, one of area in 2005 and another area in 2018, where each one presents the conurbation of the three towns for both situations. From the generated map, the understanding of the factors that have influenced the urban spatial expansion of Crajubar was constructed, such as public services of infrastructure, health and education.Keywords: Urbanization, Population Growth, Geoprocessing.

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

Journal of Sustainable Development ◽

10.5539/jsd.v13n4p224 ◽

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.

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