Hong Kong MTR

How data sharing can help ease your commute

Erich Gerber calls on the Hong Kong government to open up transport data for public use, as examples elsewhere have shown that technology and analytics can promote the reliability and efficiency of public transport networks

PUBLISHED : Thursday, 29 June, 2017, 12:48pm
UPDATED : Thursday, 29 June, 2017, 7:18pm

The Hong Kong government has long established that the public transit system has “railway as its backbone”, with MTR train services covering not only urban Hong Kong, but extending across Kowloon and into the New Territories. The MTR is also supported by franchised bus services in addition to trams and minibuses.

Despite this wide variety of choices, Hong Kong’s public transport network is still being challenged with long waiting times, breakdowns and congested train stations during peak hours. The rail operator also faces the pressure of ensuring its operation runs smoothly – or it risks financial repercussions for the disruptions, such as following the two-hour service disruption on the Kwun Tong Line in April.

Four hours to get to work in 1971, now takes 25 minutes on the MTR

So how can technology, data analytics and data sharing help make the public transport network more efficient?

According to a report by McKinsey & Company, the collection and strategic use of information can improve forecasting and help nudge behaviour to improve the reliability of transport infrastructure and increase efficiency and utilisation. The report cites as an example a 21km fast lane in Israel, between Tel Aviv and Ben Gurion airport. The lane uses a toll system that calculates fees based on traffic at the time of travel, using real-time pattern recognition to count cars on the road to measure congestion. If traffic density is high, tolls are high.

Holland, too, is benefiting from the application of big data analysis. Dutch Railways is the principal passenger rail operator in the Netherlands, which gives them access to a huge amount of data. In the past, each type of train had its own IT environment. But Dutch Railways had a vision to integrate all this data. Using streaming analytics, in-memory computing and integration, Dutch Railways is now able to provide real-time information about train services and maintenance scheduling.

The clear conclusion is that digitising infrastructure networks can improve forecasting, promote reliability and increase efficiency.

Maintaining top quality service is crucial for the MTR

At a smart-transport conference in February, experts agreed that the Hong Kong government has been slow in opening up transport data for public use. They urged the government to put pressure on transport operators and users alike to share their data.

The sharing of such information among all stakeholders will speed up the development of practical solutions to reduce congestion, improve efficiency and overcome inconveniences to commuters.

Erich Gerber is general manager, Asia Pacific and Japan, at TIBCO Software Inc