Assessing travel time-based accessibility to outdoor ice skating fields for children in Helsinki during the COVID-19 pandemic

Peer reviewe

Extracting locations from sport and exercise-related social media messages using a neural network-based bilingual toponym recognition model

Sport and exercise contribute to health and well-being in cities. While previous research has mainly focused on activities at specific locations such as sport facilities, "informal sport" that occur at arbitrary locations across the city have been largely neglected. Such activities are more challenging to observe, but this challenge may be addressed using data collected from social media platforms, because social media users regularly generate content related to sports and exercise at given locations. This allows studying all sport, including those "informal sport" which are at arbitrary locations, to better understand sports and exercise-related activities in cities. However, user-generated geographical information available on social media platforms is becoming scarcer and coarser. This places increased emphasis on extracting location information from free-form text content on social media, which is complicated by multilingualism and informal language. To support this effort, this article presents an end-to-end deep learning-based bilingual toponym recognition model for extracting location information from social media content related to sports and exercise. We show that our approach outperforms five state-of-the-art deep learning and machine learning models. We further demonstrate how our model can be deployed in a geoparsing framework to support city planners in promoting healthy and active lifestyles.Peer reviewe

Lipas-data 3/2020

Lipas-sport facilities as points (shapefile), Lipas-outdoor routes as lines (shapeifle) and Lipas-recreatonal areas as polygons (shapefile). Lipas-basic attributes as excel. Lipas-data is open data under Licence CC4.0 International

Lipas-data 10/2019

Lipas is national sport facility database which is updated by municipal sport sector officers and administred by Faculty of Sport and Health Sciences of University of Jyväskylä. This data includes Lipas-data as shapefile .zip: routes, facilities and outdoor areas. Facilities are classified in facility types and data includes attribute information about ownership of facilities

Lipas-data 2/2018

Up-to-date upload from Lipas liikuntapaikat.fi database as shapefiles and excel and csv-formats. Under license cc4.0 International

Lipas-data 12/2016

Lipas liikuntapaikat.fi: Suomen liikuntapaikkojen sijainti- ja ominaisuustiedot. Mukana julkiset liikuntapaikat paikkatietoineen. Tiedot on kerätty yli 20 vuoden aikana yhteistyössä kuntien, Kuntaliiton, Suomen Ympäristökeskuksen, Virkistysalueyhdistysten ja lajiliittojen kanssa. Lisätietoja www.liikuntapaikat.fi ja www.lipasinfo.fi

Lipas-data 7/2015

Lipas-database situation in 7/2015. Files are in shapefile-format, EPSG:3067 coordinates (Euref-fin) and UTF-8 encoding. Point data, route data and area data of sport facilities, recreational and outdoor routes and sport facilities in Finland

Lipas-data 3/2016

Lipas Liikuntapaikat.fi kansallisen liikuntapaikkatietokannan tiedot on kerätty yli 20 vuoden aikana verkostomaisessa yhteistyössä kuntien, lajiliittojen, virkistysalueyhdistysten, Suomen Kuntaliiton, liikunnan aluehallinnon ja opetus- ja kulttuuriministeriön kanssa. Tietokannan tiedot ovat jatkuvasti ylläpidettäviä. Tietojen ylläpidosta vastaavat kuntien liikuntatoimen henkilöstö. Lipas-tietokantaa hallinnoi Jyväskylän yliopiston liikuntatieteellinen tiedekunta ja rahoittaa opetus- ja kulttuuriministeriö. Lisätietoja www.liikuntapaikat.fi ja www.lipasinfo.fi. Aineiston käyttö CC 4.0 Nimeä-lisenssin mukaisesti. Use of data under CC4.0 licence

Lipas-data 9/2020

Lipas-sport facilities as points (shapefile), Lipas-outdoor routes as lines (shapeifle) and Lipas-recreational areas as polygons (shapefile). Lipas-basic attributes as excel-file. Lipas-data is open data under Licence CC4.0 International