Publication

State of Sri Lankan Cities 2018 report presents the first comprehensive assessment of Sri Lanka's recent urban development. It is a key output of the ambitious 21 month State of Sri Lankan Cities Project, which includes both a report and an urban database to support sustainable urban development in Sri Lanka.

The report includes 10 chapters of data and analysis, to provide detailed sectoral assessments of Sri Lanka's cities and present an integrated policy analysis. In doing so, it aims to support evidence-based urban policy and planning to drive the social and economic development of the country's urban centres.

The report draws on methodologies developed by UN-Habitat in other State of Cities Reports to examine the 'state' of Sri Lanka's major cities and highlight overall trends in the country's urban development. It uses recent satellite images to establish land use and urban expansion patterns, and also draws on statistical data, surveys and city workshops to engage local stakeholders. The assessment centres on a detailed analysis of the country's 9 Provincial Capitals, including Anuradhapura (North Central Province), Badulla (Uva Province), Jaffna (Northern Province), Kandy (Central Province), Kurunegala (North Western Province), Ratnapura (Sabaragamuwa Province), Trincomalee (Eastern Province), and Colombo, the capital of the Western Province and of the country.

The report outlines a vision of a better urban future for all Sri Lankans, drawing on the United Nations Sustainable Development Goals and New Urban Agenda, as well as key Government of Sri Lanka strategic documents. This future vision of Sri Lankan cities includes 5 key tenets, competitiveness, inclusivity, resilience, safety and sustainability, which frame the analysis in the following chapters.

An integrated policy matrix is outlined at the end of the report. It is envisaged that the matrix will provide a roadmap to aid policy makers to identify cross-sectoral policies, which work across multiple sectors to remove constraints and achieve a better urban future for all Sri Lankans.

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Distribution of undeserved settlements in Colombo MC in 2017

Low income residentials of Colombo Municipal Council has catagorised in to three sections (Shanty, Slum and Low income high Rises). 

Data Source of this layer is Urban Development Authority. 

 

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Distribution of undeserved settlements in Kandy MC

State of Sri Lankan cities created this spatial layers. Five major clusters have been identified.

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Waste Wise Cities Newsletter

UBS is pleased to share with you the 5th issue of the Waste Wise Cities Newsletter, which focuses on SDG indicator 11.6.1. and how it can be used to support cities in improving their waste management systems.

 

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Database Module – I

Database Module – I

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Database Module – II

Database Module – II

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Spatial Data Uploading Process to SOSLC data base

Skills required to  handle Geo Spatial data and Geo Server

·Proper knowledge of geospatial data and with a good understanding of attribute data linked to geographic information.

·Good understanding of data layers (Point/Line/Poligons) and layer types (Vector/ Raster).

·Creating data layers using Arc map/ Q GIS/ google earth or any other third party open source apps.

·Knowledge about Mobile softwares which can be used to improve city level information.

·Proper understanding about co-ordinate systems.

·Ability to work with Geo Server (adding layer, store creation, data publishing, style loading).

·Creating style using Q GIS (.SLD file format) and other standard tools.

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Executive summary (SOSLC report 2018)

The state of Sri Lankan cities 2018 (SoSLC) report includes 10 chapters of data and analysis, to provide detailed sectoral assessment of Sri Lanka’s cities and present and integrated policy analysis. 

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Way forward (SOSLC report 2018)

This road map for Sri Lankan cities details possible future policy and programme directions to promote social and economic development in the country’s urban centres. 

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Methodology (SOSLC report 2018)

Methodology of creating land use maps, data extraction from medium high resolution satellite images, population estimates and the methodology of creating spatial data for Bellanwila Attidiya wetland is elaborated. 

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Maps (SOSLC report 2018)

There are main 3 types of maps in this section. They are urban expansion maps, Land use maps and derived maps. Created accurate land use 2017 maps are based on, Secondary data (survey dept.), field verification (openstreetmap) and UDA maps.

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City profiles (SOSLC report 2018)

The section includes a summarized overview on each provincial capital city with an elaborative data set. The data includes primary, secondary and spatial data extractions respectively to each city. 

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Colombo Municipal area

Colombo Municipal Council covers an area of 4361 hectares. 

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Map of Distribution of Grama Niladhari Divisions in Colombo Administrative Limits

The ethnic / sex / age composition in the Colombo Municipal Council area, detailed for each of its 54 Grama Niladhari Divisions.

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Map of Colombo City's pipe borne water lines

Data from Water Supply and Drainage Board. This map includes the pipe borne water distribution lines and pipe diameter, including the year the pipelines were installed.

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Forecasted sea level rise and impacts on land use in Colombo City for next 100 years

Colombo city is situated in the coastal region, and very vulnerable to sea levels rise caused by climate change. The data presented here are based on forecasts by the United Nations Intergovernmental Panel on Climate Change (IPCC). The impact area is specified separately with its land use.

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Map of Sewerage Network and Pumping Stations

This section contains information on the distribution of sewerage pipelines, pumping stations and sea outfalls. Source of information: Colombo Municipal Council. Note: There is a slight shift in the layers due to the angle difference in the data source. Needs to be viewed keeping this in mind.

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Map of Bus routes and their starting - ending points in Colombo City

It contains accurate information about the bus routes, bus route numbers and starting and end points. This set of information was created under the SoSLC project, using data from the routemaster.lk web page.