Using a location-based game to collect preference information for urban and rural forest planning

被引:0
|
作者
Chambers, Philip [1 ,2 ]
Halla, Tuulikki [1 ]
Silvennoinen, Harri [1 ]
Hujala, Teppo [1 ]
Tikkanen, Jukka [1 ]
机构
[1] Univ Eastern Finland, Sch Forest Sci, POB 111, FI-80101 Joensuu, Finland
[2] Tampere Univ, Fac Informat Technol & Commun Sci, Gamificat Grp, Tampere, Finland
基金
芬兰科学院;
关键词
Forest planning; Field survey; Location-based games; Human-forest relationships; Landscape preferences; Gamification; CULTURAL ECOSYSTEM SERVICES; PARTICIPATION; RECREATION; INDICATOR; QUALITY;
D O I
10.1016/j.landurbplan.2024.105195
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Location-based games provide an opportunity to collect crowdsourced, spatially explicit data that can be used in decision-making processes in forest planning. While these games have been more widely used in collecting mapping and modelling data, there is limited research on their suitability for collecting location-based data on human preferences, opinions, and emotions in these contexts. Collecting human-centred data can be resourceintensive and costly, hence exploring the potential of location-based games is important. This study investigates the use of geocaching in gathering meaningful data in urban and rural settings. A methodology was developed wherein surveys were embedded in geocaches on trails located in urban and rural forests in Finland. These surveys collected quantitative, qualitative, and photographic data relating to human-forest relationships and landscape preferences. The findings indicate that trails closer to urban areas with higher population density showed increased cache log volume and survey response rates. Moreover, trails tended to collect most information in the first summer after establishment. It is recommended that future studies employing this methodology create shorter, easily accessible, circular trails and that survey questions should be clear and incorporate a method to verify that submitted responses reflect experiences at the chosen location. Furthermore, forest planning professionals and researchers seeking to utilise location-based games in data collection are advised to engage with the communities active in playing them to ensure success..
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Location-based information retrieval framework
    Hariharan, G
    Mehta, S
    DATA MINING AND KNOWLEDGE DISCOVERY: TOOLS AND TECHNOLOGY V, 2003, 5098 : 235 - 243
  • [22] A measure of Loran location-based information
    Qiu, Di
    Lo, Sherman
    Enge, Per
    2008 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM, VOLS 1-3, 2008, : 1227 - 1234
  • [23] Communication support with location-based information
    Uematsu, H
    Numa, K
    Hamasaki, M
    Ohmukai, I
    Takeda, H
    Proceedings of the 2005 International Conference on Active Media Technology (AMT 2005), 2005, : 282 - 282
  • [24] A location-based information support infrastructure system using CoBIT
    Nakamura, Y
    Miyazaki, N
    Sakamoto, K
    Motomura, Y
    Kurata, T
    Nishimura, T
    PSC '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON PERVASIVE SYSTEMS AND COMPUTING, 2005, : 63 - 70
  • [25] Taxonomy for visualizing location-based information
    Suomela R.
    Lehikoinen J.
    Virtual Reality, 2004, 8 (2) : 71 - 82
  • [26] Group Preference Queries for Location-Based Social Networks
    Tian, Yuan
    Jin, Peiquan
    Wan, Shouhong
    Yue, Lihua
    WEB AND BIG DATA, APWEB-WAIM 2017, PT I, 2017, 10366 : 556 - 564
  • [27] Time-Sensitive Route Planning Using Location-based Data
    Hsieh, Hsun-Ping
    Li, Cheng-Te
    Lin, Shou-De
    2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2013, : 1121 - 1128
  • [28] Could Data from Location-Based Social Networks Be Used to Support Urban Planning?
    Smarzaro, Rodrigo
    de Melo Lima, Tiago Franca
    Davis, Clodoveu A.
    WWW'17 COMPANION: PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB, 2017, : 1463 - 1468
  • [29] Chinese Location Word Recognition Using Service Context Information for Location-Based Service
    Cheng, Jiujun
    Hou, Jingyu
    Yan, Chendan
    Cheng, Junlu
    Zhang, Qingyang
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [30] A Training Framework for the Creation of Location-Based Experiences Using a Game Authoring Environment
    Clarke, Samantha
    Lameras, Petros
    Dunwell, Ian
    Balet, Olivier
    Prados, Thibaut
    Avantangelou, Elena
    PROCEEDINGS OF THE 9TH EUROPEAN CONFERENCE ON GAMES BASED LEARNING (ECGBL 2015), 2015, : 125 - 134