scholarly journals Analysis of Relationship Between Urban Sprawl and its Driving Factors: A Case of Small and Medium Town in Sri Lanka

FARU Journal ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
E. P. P. Manesha ◽  
Amila Jayasinghe
Keyword(s):  
Sri Lanka ◽  
Urban Sprawl ◽  
Driving Factors

Driving Factors of Urban Sprawl in the Romanian Plain. Regional and Temporal Modelling Using Logistic Regression

2021 ◽  
pp. 1-25
Author(s):  
Ines Grigorescu ◽  
Gheorghe Kucsicsa ◽  
Bianca Mitrică ◽  
Irena Mocanu ◽  
Monica Dumitrașcu
Keyword(s):  
Logistic Regression ◽  
Urban Sprawl ◽  
Driving Factors ◽  
Temporal Modelling

scholarly journals Urban Watercourses in Peril: Implications of Phthalic Acid Esters on Aquatic Ecosystems Caused by Urban Sprawl

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 519 ◽  
Author(s):  
Mahesh Jayaweera ◽  
Gimhani Danushika ◽  
Nilanthi Bandara ◽  
Janith Dissanayake ◽  
Buddhika Gunawardana ◽  
...  
Keyword(s):  
Sri Lanka ◽  
Urban Sprawl ◽  
Phthalic Acid ◽  
Phthalic Acid Esters ◽  
Aquatic Life ◽  
Factors Affecting ◽  
Household Products ◽  
Butyl Phthalate ◽  
Acid Esters

Urban sprawl worldwide warrants the use of large quantities of industrial and household products containing phthalic acid esters (PAEs) resulting in adverse impacts on the quality of aquatic life in urban watercourses. The presence of six PAEs (dimethyl phthalate (DMP), diethyl phthalate (DEP), di(n-butyl) phthalate (DBP), benzyl butyl phthalate (BBP), bis(2-ethylhexyl) phthalate (DEHP), and di(n-octyl) phthalate (DnOP)) in 22 shallow urban watercourses in Colombo and suburbs of Sri Lanka was investigated. The average concentrations of DEP, DBP, BBP, and DEHP in all watercourses varied between 2.5–265.0, 1.0–32.0, 61–108, and 12–165 µg/L, respectively. DMP and DnOP were below the limits of quantification (DMP-0.5 µg/L, DnOP-1.0 µg/L) for all watercourses. DEHP was the most abundant PAE in many watercourses. The significant factors affecting the ubiquitous presence of PAEs in watercourses are the inherent properties of each PAE, presence of industrial and household products with great potential for the migration of PAEs in the sub-catchments, and quality of the receiving water. The contamination levels of PAEs in most of the watercourses are alarmingly high, as evidenced by higher concentrations of DEHP and DBP than those of Canadian permissible levels for the protection of aquatic life (16 and 19 µg/L). This study was the first effort in Sri Lanka to investigate the presence of PAEs in urban watercourses.

scholarly journals Assessment of Urban Sprawl and Its Impacts on Rural Landmasses of Colombo District: A Study Based on Remote Sensing and GIS Techniques

2020 ◽  
Vol 30 (1-2) ◽  
pp. 139-154
Author(s):  
B. Antalyn ◽  
V. P. A. Weerasinghe
Keyword(s):  
Sri Lanka ◽  
Urban Sprawl ◽  
Urban Areas ◽  
Threshold Value ◽  
Shannon’S Entropy ◽  
Sustainable Urban Development ◽  
Resource Utilisation ◽  
Landsat 8 ◽  
Shannon's Entropy ◽  
Investment Programme

Urban sprawl is one of the significant issues faced by cities in Sri Lanka today. Urban sprawl is unplanned and uneven pattern of growth, driven by a multitude of processes and leading to inefficient resource utilisation. This study evaluates urban sprawl and its impact on rural land masses of Colombo district, Sri Lanka in 1997, 2009 and 2018 using Shannon’s entropy values. Maximum likelihood supervised classification was applied for Landsat 8 OLI/TIRS (Operational Land Imager/Thermal Infrared Sensor 2018) and Landsat 5 TM (Thematic Mapper 1997, 2009) satellite images to get the build- up areas and then the Shannon’s entropy values using GIS were assessed. Calculated built-up areas were 98.97 (14.6 %), 178.76 (26.38%), 276.80 (40.85%) km2 and Shannon’s entropy values were 0.928, 1.009 and 1.059 for the years 1997, 2009 and 2018, respectively. Since Shannon’s entropy is an efficient indicator to measure urban sprawl, it is observed that Colombo district continues to sprawl from 1997 to 2018. The analysis of the results further showed that rapid increase of built-up area resulted in decrease in vegetation and agricultural areas. Calculated relative entropy values were 0.83, 0.91 and 0.95 for consecutive years, which has an increasing trend and exceeded the threshold value of 0.5 indicating a higher level of urban sprawl in Colombo district. Developed maps show that since 1997, the city has experienced pronounced urban sprawl along the main roads of Colombo district consuming rural lands at a faster pace as population shifts from urban areas. Prioritised policies in Government’s public investment programme 2017–2020 for sustainable urban development may help concentrate growth within targeted areas and restrain sprawling development in rural settings of Colombo district. Further, similar studies are encouraged to check the effectiveness of applying policies.

scholarly journals A Geo-Spatial Analysis for Characterising Urban Sprawl Patterns in the Batticaloa Municipal Council, Sri Lanka

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 636
Author(s):  
Mathanraj Seevarethnam ◽  
Noradila Rusli ◽  
Gabriel Hoh Teck Ling ◽  
Ismail Said
Keyword(s):  
Sri Lanka ◽  
Urban Sprawl ◽  
Urban Areas ◽  
Population Data ◽  
Sustainable Land Use ◽  
Gis And Remote Sensing ◽  
Municipal Council ◽  
Sensing Technology ◽  
Landsat Satellite ◽  
Classification Tool

Urban sprawl related to rapid urbanisation in developed and developing nations affects sustainable land use. In Sri Lanka, urban areas have mostly expanded in a rather spontaneous, unplanned manner (based on the current settlers’ subjective movement) rather than conforming to the local government’s development plan. This growth inevitably leads to uncontrolled urban sprawl in many Sri Lankan cities, including Batticaloa. So far, Sri Lanka’s planners or researchers have not yet tackled the sprawling developments in this city. Understanding the different forms and patterns of urban sprawl is the key to address sprawling growth. This study aims to identify the characteristics of urban sprawl in the Batticaloa municipal council using Geographic Information System (GIS) and remote sensing technology. Landsat satellite images for the years 2000, 2010, and 2020 as well as 2002, 2011, and 2019 population data were used and analysed using ArcGIS’ maximum likelihood classification tool and the density function, respectively, to delineate the characteristics of urban sprawl. The results revealed that low-density development, leapfrog development, commercial ribbon development, and scattered growth are the influencing characteristics of urban sprawl in the Batticaloa municipality. These characteristics were found mainly in the urban edge of the city and have led to urban sprawl. The finding provides knowledge into recognising the characteristics of urban sprawl with empirical evidence. It affords a clear direction for future studies of urban sprawl in rapidly growing cities that are numerous in Sri Lanka, and the identified characteristics of urban sprawl can be useful in minimising future sprawl. This result can be a tool for future urban planning and management in the Batticaloa municipality.

scholarly journals Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China

Land ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1275
Author(s):  
Xin Zhang ◽  
Jinghu Pan
Keyword(s):  
Urban Sprawl ◽  
Northwest China ◽  
Driving Factors ◽  
Spatiotemporal Pattern ◽  
Evolutionary Trend ◽  
Factors Affecting ◽  
Spatial Cohesion ◽  
Global Concern ◽  
Regional Product ◽  
Derived Data

Urban sprawl is a complex phenomenon related to abnormal urbanization, and it has become a key issue of global concern. This study aimed to measure urban sprawl in China and explore its spatiotemporal patterns and driving factors. Based on 343 Chinese cities at the prefecture level and above, remote sensing-derived data from 2000 to 2017 were used to calculate the urban sprawl index (USI). The evolutionary trend and spatiotemporal pattern of urban sprawl in China were then analyzed using trend analysis and exploratory spatiotemporal data analysis, and Geodetector was applied to investigate the factors driving the changes. The results show the following. ① Moderate or high urban sprawl development occurred in China from 2000 to 2017. In terms of spatial distribution, the USI was high in northwest China and low in southeast China. ② The local spatial stability of the USI gradually decreased from southeast to northwest and northeast. USI had strong spatial dependence. No significant spatiotemporal transitions in urban sprawl were observed, and the spatial pattern was stable with strong spatial cohesion. ③ The gross regional product (GRP) of the tertiary industry, the total GRP, and investment in real estate development have been the most important factors affecting sprawl in cities at the prefecture level and above in China.

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