Shaoqing Wang
Chef de projet mobilité et déplacements, Egis
Published on May 05, 2020

Reading time : 2 min

New mobility patterns emerging in Sri Lanka

How is Colombo in Sri Lanka planning to measure the effects of its new transport policy on the way in which its inhabitants and transport users get around? We look at a case study.

Mobilités au Sri Lanka

- Crédits : GregMontani - Pixabay

The Colombo metropolitan area is the most dynamic region in Sri Lanka. With more than 6 million inhabitants, it is home to 55% of the country's population. Today 10 million trips take place every day in the city region, 8 million of which using motorized transport. Among the modes of mobility, public transport is the most used (51%), yet the public transport network today is only made up of buses and trains, relying predominantly on buses (48%).

The natural evolution of travel behaviour is tending towards individual modes, to the detriment of public transport. Between now and 2038, the modal share of public transport is forecasted to drop from 51% to 40%.

The Colombo metropolitan region’s development goals have led to the emergence of a series of ambitious projects: Port City, LRT lines, railway line modernization, the Elevated Highway, waterway transport, etc. If these projects were to be implemented, the Colombo metropolitan region would see twice as many journeys in 2038 as today. With the implementation of new modes of public transport (LRT and river transport), a significant modal shift from individual modes to public transport can be observed between the baseline situation and the 2038 target situation. The number of passenger-kilometres travelled on public transport increases by 41% between the baseline and target situations.

Working in a consortium with Arep under the coordination of the French Development Agency. Egis has carried out a study examining changes in travel behaviour in the Colombo metropolitan region resulting from the new urban strategy. This study develops a comprehensive methodology and assesses not only mobility demand but also modal shift and ridership. A 4-stage multimodal model was used to estimate mobility demand and measure the different performance indicators. Our approach cross-references different analytical frameworks (geographical, sociological, economic) and requires good knowledge of territorial specificities.

Read the full study (French)

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