MyDynamicForest

citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

Abstract

In this paper we present a method for gathering up-to-date participatory data on soft mobility for various purposes, using a case study from Central Park in Helsinki, Finland. We describe the use of an innovative Public Participation GIS tool (MyDynamicForest) that combines smartphone GPS tracking, drawing of routes, and a questionnaire for collecting citizen data on recreational use for adaptive planning and management purposes. Our main finding is that by applying this method, together with information campaigns, informative data can be generated with relatively low effort, and postulate that specific groups could be targeted when needed. While this study focuses on movement in urban green areas, we suggest that a variety of planning and maintenance challenges could be addressed using this kind of data. Patterns and drivers of soft mobility (e.g. commuting) in cities or visitor movement in national parks and protected areas could be equally targeted. We encourage the use and testing of this methodology in various user-centred research and planning approaches.
Original languageEnglish
Title of host publicationThe 20th AGILE International Conference on Geographic Information Science
Number of pages6
Volume2017
PublisherThe Association of Geographic Information Laboratories for Europe (AGILE)
Publication date2017
Publication statusPublished - 2017
MoE publication typeNot Eligible
EventThe 20th AGILE International Conference on Geographic Information Science - Wageningen, Netherlands
Duration: 9 May 201712 May 2017

Fields of Science

  • 1172 Environmental sciences

Cite this

Korpilo, S., Virtanen, T., & Lehvävirta, S. (2017). MyDynamicForest: citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park. In The 20th AGILE International Conference on Geographic Information Science (Vol. 2017). The Association of Geographic Information Laboratories for Europe (AGILE).
Korpilo, Silviya ; Virtanen, Tarmo ; Lehvävirta, Susanna. / MyDynamicForest : citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park. The 20th AGILE International Conference on Geographic Information Science. Vol. 2017 The Association of Geographic Information Laboratories for Europe (AGILE), 2017.
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title = "MyDynamicForest: citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park",
abstract = "In this paper we present a method for gathering up-to-date participatory data on soft mobility for various purposes, using a case study from Central Park in Helsinki, Finland. We describe the use of an innovative Public Participation GIS tool (MyDynamicForest) that combines smartphone GPS tracking, drawing of routes, and a questionnaire for collecting citizen data on recreational use for adaptive planning and management purposes. Our main finding is that by applying this method, together with information campaigns, informative data can be generated with relatively low effort, and postulate that specific groups could be targeted when needed. While this study focuses on movement in urban green areas, we suggest that a variety of planning and maintenance challenges could be addressed using this kind of data. Patterns and drivers of soft mobility (e.g. commuting) in cities or visitor movement in national parks and protected areas could be equally targeted. We encourage the use and testing of this methodology in various user-centred research and planning approaches.",
keywords = "1172 Environmental sciences",
author = "Silviya Korpilo and Tarmo Virtanen and Susanna Lehv{\"a}virta",
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Korpilo, S, Virtanen, T & Lehvävirta, S 2017, MyDynamicForest: citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park. in The 20th AGILE International Conference on Geographic Information Science. vol. 2017, The Association of Geographic Information Laboratories for Europe (AGILE), The 20th AGILE International Conference on Geographic Information Science, Wageningen, Netherlands, 09/05/2017.

MyDynamicForest : citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park. / Korpilo, Silviya; Virtanen, Tarmo; Lehvävirta, Susanna.

The 20th AGILE International Conference on Geographic Information Science. Vol. 2017 The Association of Geographic Information Laboratories for Europe (AGILE), 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

TY - GEN

T1 - MyDynamicForest

T2 - citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park

AU - Korpilo, Silviya

AU - Virtanen, Tarmo

AU - Lehvävirta, Susanna

N1 - Volume: Proceeding volume:

PY - 2017

Y1 - 2017

N2 - In this paper we present a method for gathering up-to-date participatory data on soft mobility for various purposes, using a case study from Central Park in Helsinki, Finland. We describe the use of an innovative Public Participation GIS tool (MyDynamicForest) that combines smartphone GPS tracking, drawing of routes, and a questionnaire for collecting citizen data on recreational use for adaptive planning and management purposes. Our main finding is that by applying this method, together with information campaigns, informative data can be generated with relatively low effort, and postulate that specific groups could be targeted when needed. While this study focuses on movement in urban green areas, we suggest that a variety of planning and maintenance challenges could be addressed using this kind of data. Patterns and drivers of soft mobility (e.g. commuting) in cities or visitor movement in national parks and protected areas could be equally targeted. We encourage the use and testing of this methodology in various user-centred research and planning approaches.

AB - In this paper we present a method for gathering up-to-date participatory data on soft mobility for various purposes, using a case study from Central Park in Helsinki, Finland. We describe the use of an innovative Public Participation GIS tool (MyDynamicForest) that combines smartphone GPS tracking, drawing of routes, and a questionnaire for collecting citizen data on recreational use for adaptive planning and management purposes. Our main finding is that by applying this method, together with information campaigns, informative data can be generated with relatively low effort, and postulate that specific groups could be targeted when needed. While this study focuses on movement in urban green areas, we suggest that a variety of planning and maintenance challenges could be addressed using this kind of data. Patterns and drivers of soft mobility (e.g. commuting) in cities or visitor movement in national parks and protected areas could be equally targeted. We encourage the use and testing of this methodology in various user-centred research and planning approaches.

KW - 1172 Environmental sciences

M3 - Conference contribution

VL - 2017

BT - The 20th AGILE International Conference on Geographic Information Science

PB - The Association of Geographic Information Laboratories for Europe (AGILE)

ER -

Korpilo S, Virtanen T, Lehvävirta S. MyDynamicForest: citizen data on spatial patterns and motives of recreational use in Helsinki’s Central Park. In The 20th AGILE International Conference on Geographic Information Science. Vol. 2017. The Association of Geographic Information Laboratories for Europe (AGILE). 2017