In a country with 17,000+ islands and vast land borders, it is difficult to measure immigration at all entry points to the country. Roaming MPD-based indicators was used to measure cross-border tourism, so that the decision-makers of the state would have reliable statistics. With the help of Positium, the Indonesian Ministry of Tourism developed a system to count tourists in these excluded border areas and support sustainable development with the help of accurate data. The results guided investments into areas that were previously considered periphery. The data collection continued throughout the COVID-19 pandemic, providing a continuous source of visitor arrival data, covering official and informal travel into the country.
The Kose-Mäo road planning project was conducted in 2008-2009 to study the use of highway E263 in Estonia. Project was issued by the Road Administration, with consulting by Ramboll Estonia and Ramboll Finland, and MPD analysis by Positium. Using a variety of methods, the origins and destinations, traffic volumes and alternative transport corridors were investigated to predict the feasibility of the new highway section, as well as a CBA and EIA. The study was conducted parallel to a traditional traffic study using the roadside surveying method.
MPD enabled the planners to study seasonality, road user mobility, and traffic statistics from parallel traffic corridors. The project utilised 1 year of MPD, involving 800M movement vectors. As a result of the project, a preliminary road design project of Kose-Võõbu and Võõbu-Mäo sections was proposed, with 25 km of new alignment and two alternative transport corridors.
The 18th Asian Games, held in 2018, attracted visitors to Indonesia both locally and from abroad. That year, mobile positioning data was used for the first time to analyse the impact Asian Games had on tourism. The traditional way of measuring the impact with surveys has several drawbacks. MPD, however, allows measuring event tourism at a precise level and comparing it to benchmark levels and the general nature of tourism in the area. This novel approach in event statistics provided results in just two weeks after the event had ended.
In 2019, a new data-driven bus route network was launched in Tartu. This city in South Estonia has made it its mission to create a smart city for the citizens through harnessing the benefits of big data analytics. To make this vision a reality, the city government partnered with Positium and WSP Finland to create a brand-new bus route network that would satisfy the real needs of people living in Tartu.
The BuildERS project aims to identify vulnerable groups and find innovative ways to help these groups in disaster situations, thus building the resilience of communities. Positium has been working with the Estonian Rescue Board and the University of Tartu on finding solutions to improve responses during disasters, such as volcanic eruptions, storms, or cyber attacks. The aim of our sub-project was to find out if and how MPD can be used for disaster management in Estonia and Indonesia.
When the COVID-19 emergency situation was established in Estonia by a government decision on March 12, 2020, several movement restrictions were imposed and the public debated whether there must be a data-driven decision-making process, relying on mobile operator data. Three mobile network operators, Positium and the Statistics Estonia were tasked by the Estonian government to provide essential mobility information – how has people’s mobility changed during the emergency situation? Based on the work, decisions were taken on how to improve mobility restriction enforcement in some areas.
The City of Tallinn required mobility data in order to plan several developments in the outer areas of one of its districts, North Tallinn. Based on mobile location data, Positium mapped the entire network of mobility between the sub districts and travel to work outside the districts. Mobile location data provided a look of the whole city over an extended period of time, previously not available or hard to get.
The Ministry of Economy and Innovation of Lithuania recently presented an innovative project that lets different stakeholders of the tourism sector access data about which tourism destinations travellers visit during their stay in the country, how long they stay in a particular place, and more. The public authority Lithuania Travel led the project to ensure that access to this data helps the public and private sectors improve services for tourists, support businesses to discover new sources of revenue and income, and inform their marketing efforts.
In 2008, due to the financial crisis, the Estonian government was forced to make drastic budget cuts. One of the areas affected was the production of official statistics. The quarterly cross-border surveys that the country relied on at the time for estimating international arrivals were put on hold. One of the institutions affected by these changes was Eesti Pank, the central bank of Estonia, which is responsible for producing external sector statistics, among other official data. Since there was a demand for a high-quality and efficient data source for tourism statistics, at a reasonable cost, Eesti Pank acted quickly. They began to explore options for alternative data sources to fulfil their obligation of producing a time series of inbound and outbound travel statistics as part of their calculation for the balance of payments.
At the South-Eastern-most corner of Estonia, there lives a people whose mystical language, enchanting leelo and ancient traditions are protected under the UNESCO World Heritage label. Combined with the breath-taking landscape, South Estonia’s rich cultural heritage attracts visitors from all over the world. But how do we know that?