Research in Finland

From OpenStreetMap Wiki
Jump to navigation Jump to search

Research in Finland related to OSM is diverse.

Directly related research

  • "Using geovisual reasoning to improve home location inference from cyclists’ GPS traces: towards understanding the demographic representativeness of mobile sports tracking application data" Bergman, Cecilia and Oksanen, Juha - 05/2017 - [1]
    Mobile sports tracking application data has become an attractive data source for cities seeking to understand patterns of active transportation and physical activity. However, to evaluate and enhance its usability, novel approaches are needed to better understand biases caused by non-random sampling. By investigating the definition of cyclists’ home locations ... this paper provides a basis for future comparison of spatially aggregated home location data and population registry data. Ultimately, the aim is to understand the demographic representativeness of the tracking data, as well as the usability of population data in calibrating ... Using an interactive visual interface we compare two different rule-based home detection methods ... over 80% of the home locations were correctly detected using an approach based on the maximum number of tracks combined with temporal thresholds. The results emphasise the importance of understanding the characteristics of the data, and tuning the methods accordingly. Adjusting the temporal thresholds, removing tracks that represent mass events, and including information of land use, specifically residential areas, might solve most of the detected problems. In addition, we discuss how personal privacy could be enhanced within the suggested approach.
  • "Uncertainty in Crowdsourced Humanitarian Mapping (OSM)" - Lahtinen, Henri (henri.o.lahtinen [a] aalto.fi), Pesonen, Petteri (), Kallio, Marko (http://markokallio.fi/) - 05/2016
  • "Digiroad- ja OpenStreetMap-aineistojen yhteiskäyttö joukkoliikennepysäkeissä" (Cooperation between Digiroad and OpenStreetMap in the case of transit stops) Peltonen, Teemu - 03/2016 - [2]
    Worldwide trend towards more user engaging services has made possible for services like OpenStreetMap to grow up while public sector has made significant effort towards transparency and open data ... The aim of this master's thesis is to investigate how Finnish Transportation agency could contribute to OpenStreetMap data production in a best way possible and define those technical and Digiroad road and street database maintenance methods needed to implement interoperability between OpenStreetMap and public transport stops in Digiroad database ... As a result of the work, it was shown that technical methods to merge simple public transport stops between Digiroad and OpenStreetMap can be implemented in a way that the change information can be collected and utilized in maintenance and improvement of both datasets. Incompatible licenses of OpenStreetMap and Digiroad poses however more significant challenges and should be taken into special considerations because of legal risks. At the same time, actively participating to activities of the OpenStreetMap community and improving data in both OpenStreetMap and Digiroad require resources and clear guidance from the public sector to achieve continuity and to ensure both up-to-date information and geographical uniformity.
  • "Conflation of OpenStreetMap and Mobile Sports Tracking Data for Automatic Bicycle Routing" Bergman, Cecilia and Oksanen, Juha - 03/2016 - [3]
    This article investigates how workout trajectories from a mobile sports tracking application can be used to provide automatic route suggestions for bicyclists. We apply a Hidden Markov Model (HMM)-based method for matching cycling tracks to a “bicycle network” extracted from crowdsourced OpenStreetMap (OSM) data, and evaluate its effective differences in terms of optimal routing compared with a simple geometric point-to-curve method. OSM has quickly established itself as a popular resource for bicycle routing; however, its high-level of detail presents challenges for its applicability to popularity-based routing. We propose a solution where bikeways are prioritized in map-matching, achieving good performance; the HMM-based method matched correctly on average 94% of the route length. In addition, we show that the extremely biased nature of the trajectory dataset, which is typical of volunteered user-generated data, can be of high importance in terms of popularity-based routing. Most computed routes diverged depending on whether the number of users or number of tracks was used as an indicator of popularity, which may imply varying preferences among different types of cyclists. Revising the number of tracks by diversity of users to surmount local biases in the data had a more limited effect on routing.
  • "Joukkoliikenteellä, autolla ja kävellen: Avoin saavutettavuusaineisto pääkaupunkiseudulta" (An open spatial data set describing multimodal accessibility patterns in the Helsinki region) Toivonen, Tuuli (tuuli.toivonen [a] helsinki.fi), Salonen, Maria (maria.salonen [a] helsinki.fi), Tenkanen, Henrikki (henrikki.tenkanen [a] helsinki.fi), Saarsalmi, Perttu (saarsalmi.perttu [a] helsinki.fi), Jaakkola, Timo (jaakkola.timo [a] helsinki.fi), Järvi, Juha (web [a] busfaster.com, https://fi.linkedin.com/in/juha-j%C3%A4rvi-56385a1a) - 2014 - [4]
    Comparable data on travel times and distances by different travel modes are frequently called for in land use and urban planning. Here, we present the creation process and the content of a newly opened dataset called the Helsinki Region Travel Time Matrix, made available via Helsinki Region Infoshare service. The dataset presents modelled travel times and trip lengths by car, public transport and walking for the capital region of Finland. The multimodal travel times and distances have been calculated between 13 000 gridded (250 m) data points over the study area. The modelling is made with in-house tools and based on various open data sources, including Digiroad, Journey Planner, and OpenStreetMap, accompanied with ancillary data. In addition to describing and evaluating the dataset, this paper pioneers scientific data description article in Terra. It links to the movements for the openness of research data, open democracy and more transparent planning that highlight the responsibility of researchers to share their data.
  • "Social networks for volunteered geographic information - A case study of OpenStreetMap" Välimäki, Suvi - 08/2011 - [5]
    The world of mapping has changed. Earlier, only professional experts were responsible for map production, but today ordinary people without any training or experience can become map-makers ... A central part of this study is OpenStreetMap project (OSM), which aim is to create a map of the entire world by volunteers ... The results of the study show that the quality of OpenStreetMap data compared with the data of National Land Survey of Finland can be defined as good. OpenStreetMap differs from the map of National Land Survey especially because of the amount of uncertainty, for example because of the completeness and uniformity of the map are not known. The results of the study reveal that opening spatial data increased notably the amount of the data in the study area, and both the positional accuracy and completeness improved significantly. The study confirms the earlier arguments that only few contributors have created the majority of the data in OpenStreetMap. The inquiry made for the OpenStreetMap users revealed that the data are most often collected by foot or by bicycle using GPS device, or by editing the map with the help of aerial imageries. According to the responses, the users take part to the OpenStreetMap project because they want to make maps better, and want to produce maps, which have information that is up-to-date and cannot be found from any other maps. Almost all of the users exploit the maps by themselves, most popular methods being downloading the map into a navigator or into a mobile device. The users regard the quality of OpenStreetMap as good, especially because of the up-to-dateness and the accuracy of the map.

Somewhat related research

  • "Open Citizen Science" - Laine, Heidi (heidi.laine [a] okf.fi, @heidiklaine), Muurinen, Raimo (raimo.muurinen [a] okf.fi, @ra__mu), Happonen, Konsta (konsta.happonen [a] okf.fi, @Koalha) - 08/2016-, [6]
    Open Citizen Science is a project commissioned from the Open Knowledge Finland by the Finnish Ministry of Education and Culture’s Open Science & Research initiative.
  • "Creating Linked data infrastructure for SDI" - Tiainen, Esa (esa.tiainen [a] nls.fi) - 01/2015-, [7]
    Linked geo data adds spatial dimension to the semantic web. The goal of this project is inclusion of community members in municipal decision making by providing sufficient information base and by crowdsourcing and updating contents related to places and areas to provide and create novel viewpoints and information in city development. This project first focuses on creating national recommendation and infrastructure for spatial data in Finland.
  • "Kansalaistiede meni nettiin. Tapaustutkimus verkkosivuista Citizen Science Center, SciStarter ja Zooniverse" Sahlman, Enni - 10/2015 - [8]
    The research reported in the master's thesis was backed by the idea that we live in networking society theorized by Manuel Castells. One way this idea realizes in science is citizen science. Especially Internet has played a big role in development of the citizen science. The thesis studies three web pages: Citizen Science Center, SciStarter and Zooniverse. The focus is how they try to reach their goal that is to advance citizen science. They do this, for example, via providing ways to participation, effective communication, continuous improvement of web pages, and by acting as a meeting place and as a project platform.

See also

Retrieved from "https://wiki.openstreetmap.org/w/index.php?title=Research_in_Finland&oldid=2079209"