ソーシャルメディアの位置情報付き写真を用いた保護地域における野生動物の文化的サービス空間評価

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Published in環境共生 Vol. 40; no. 1; pp. 29 - 37
Main Authors 宮坂, 隆文, 佐藤, 七衣
Format Journal Article
LanguageJapanese
Published 日本環境共生学会 30.04.2024
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ISSN1346-3489
2434-902X
DOI10.32313/jahes.40.1_29

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Author 宮坂, 隆文
佐藤, 七衣
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References 11) 環境省 (2023): 日本の国立公園, https://www.env.go.jp/park/index.html, 参照 2023-10-31
19) 日光国立公園日光湯元ビジターセンター (2023): クマ目撃情報, http://www.nikkoyumoto-vc.com/nature/kuma_d.html, 参照 2023-10-31
2) Willemen, L., Cottam, A.J., Drakou, E.G. and Burgess, N.D.(2015): Using Social Media to Measure the Contribution of Red List Species to the Nature-Based Tourism Potential of African Protected Areas, PLoS ONE, Vol.10, No.6, e0129785 https://doi.org/10.1371/journal.pone.0129785
7) Yoshimura, N. and Hiura, T. (2017): Demand and Supply of Cultural Ecosystem Services: Use of Geotagged Photos to Map the Aesthetic Value of Landscapes in Hokkaido, Ecosystem Services, Vol.24, pp.68–78 https://doi.org/10.1016/j.ecoser.2017.02.009
3) Goodwin, H. (1996): In Pursuit of Ecotourism, Biodiversity & Conservation, Vol.5, pp.277–291 https://doi.org/10.1007/BF00051774
20) Kubota, Y., Miyasaka, T., Kajikawa, M., Oba, A. and Miyasaka, K. (2024): Effectiveness of Non-Geotagged Social Media Data for Monitoring Visitor Experience in a National Park in Japan, Sustainability, Vol.16, No.2, 851 https://doi.org/10.3390/su16020851
8) Hou, Y., Liu, T., Zhao, Z. and Wen, Y. (2020): Estimating the Cultural Value of Wild Animals in the Qinling Mountains, China: A Choice Experiment, Animals, Vol.10, No.12, pp.1–19 https://doi.org/10.3390/ani10122422
12) GlobalWebIndex (2020): Japan: Key Digital Behaviors and Trends over Time and Across Demographics, GlobalWebIndex
21) 環境省 (2023): 日本の国立公園: 歴史と制度, https://www.env.go.jp/park/about/history.html, 参照 2023-10-31
1) 国連世界観光機関(UNWTO)駐日事務所 (2021): なぜ観光が重要なのか, https://unwto-ap.org/why/, 参照2023-10-31
17) 国土交通省 (2023): 国土数値情報ダウンロードサイト, https://nlftp.mlit.go.jp/ksj/gmlold/index.html, 参照 2023-10-31
18) Burnham, K.P. and Anderson, D.R. (2002): Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.), Springer https://doi.org/10.1007/b97636
22) 福田一葉・下嶋聖・町田怜子・土屋薫・竹内将俊(2023): 人流データを用いた国立公園ごとの滞在人口の把握とビジターセンターの立地特性の分析, ランドスケープ研究, Vol.86, No.5, pp.487–492 https://doi.org/10.5632/jila.86.487
5) MA (Millennium Ecosystem Assessment) (2005): Ecosystems and Human Well-Being: Current State and Trends, Island Press
10) 環境省 (2023): 日本の国立公園:自然保護各種データ, https://www.env.go.jp/park/doc/data.html, 参照 2023-10-31
9) Hausmann, A., Toivonen, T., Slotow, R., Tenkanen, H., Moilanen, A., Heikinheimo, V. and di Minin, E. (2018): Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature-Based Experiences in Protected Areas, Conservation Letters, Vol.11, No.1, e12343 https://doi.org/10.1111/conl.12343
13) Kajikawa, M., Miyasaka, T., Kubota, Y., Oba, A. and Miyasaka, K. (2023): Quantifying Nationality Bias in Social Media Data on Different Platforms for Visitor Monitoring in Nikko National Park, Japan, Geographica Pannonica, Vol.27, No.4, pp.228–238 https://doi.org/10.5937/gp27-46222
4) 庄山紀久子 (2014): 生態系サービスの地図化に向けて―定量化および空間評価の視点と最近の動向―, 景観生態学, Vol.19, pp.121–126 https://doi.org/10.5738/jale.19.121
15) 環境省生物多様性センター (2023): 自然環境保全基礎調査, https://www.biodic.go.jp/kiso/15/do_kiso4.html#anchor01, 参照 2023-10-31
16) 国土地理院 (2023): 基盤地図情報ダウンロードサービス, https://fgd.gsi.go.jp/download/menu.php, 参照 2023-10-31
6) Kim, Y., Kim, C.-ki, Lee, D.K., Lee, H.-woo and Andrada, R.II.T. (2019): Quantifying Nature-Based Tourism in Protected Areas in Developing Countries by Using Social Big Data, Tourism Management, Vol.72, pp.249–256 https://doi.org/10.1016/j.tourman.2018.12.005
14) 環境省生物多様性センター (2023): 国立公園区域等, http://gis.biodic.go.jp/webgis/sc-026.html?kind=nps, 参照 2023-10-31
References_xml – reference: 17) 国土交通省 (2023): 国土数値情報ダウンロードサイト, https://nlftp.mlit.go.jp/ksj/gmlold/index.html, 参照 2023-10-31
– reference: 1) 国連世界観光機関(UNWTO)駐日事務所 (2021): なぜ観光が重要なのか, https://unwto-ap.org/why/, 参照2023-10-31
– reference: 10) 環境省 (2023): 日本の国立公園:自然保護各種データ, https://www.env.go.jp/park/doc/data.html, 参照 2023-10-31
– reference: 2) Willemen, L., Cottam, A.J., Drakou, E.G. and Burgess, N.D.(2015): Using Social Media to Measure the Contribution of Red List Species to the Nature-Based Tourism Potential of African Protected Areas, PLoS ONE, Vol.10, No.6, e0129785 https://doi.org/10.1371/journal.pone.0129785
– reference: 4) 庄山紀久子 (2014): 生態系サービスの地図化に向けて―定量化および空間評価の視点と最近の動向―, 景観生態学, Vol.19, pp.121–126 https://doi.org/10.5738/jale.19.121
– reference: 9) Hausmann, A., Toivonen, T., Slotow, R., Tenkanen, H., Moilanen, A., Heikinheimo, V. and di Minin, E. (2018): Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature-Based Experiences in Protected Areas, Conservation Letters, Vol.11, No.1, e12343 https://doi.org/10.1111/conl.12343
– reference: 20) Kubota, Y., Miyasaka, T., Kajikawa, M., Oba, A. and Miyasaka, K. (2024): Effectiveness of Non-Geotagged Social Media Data for Monitoring Visitor Experience in a National Park in Japan, Sustainability, Vol.16, No.2, 851 https://doi.org/10.3390/su16020851
– reference: 19) 日光国立公園日光湯元ビジターセンター (2023): クマ目撃情報, http://www.nikkoyumoto-vc.com/nature/kuma_d.html, 参照 2023-10-31
– reference: 3) Goodwin, H. (1996): In Pursuit of Ecotourism, Biodiversity & Conservation, Vol.5, pp.277–291 https://doi.org/10.1007/BF00051774
– reference: 12) GlobalWebIndex (2020): Japan: Key Digital Behaviors and Trends over Time and Across Demographics, GlobalWebIndex
– reference: 6) Kim, Y., Kim, C.-ki, Lee, D.K., Lee, H.-woo and Andrada, R.II.T. (2019): Quantifying Nature-Based Tourism in Protected Areas in Developing Countries by Using Social Big Data, Tourism Management, Vol.72, pp.249–256 https://doi.org/10.1016/j.tourman.2018.12.005
– reference: 7) Yoshimura, N. and Hiura, T. (2017): Demand and Supply of Cultural Ecosystem Services: Use of Geotagged Photos to Map the Aesthetic Value of Landscapes in Hokkaido, Ecosystem Services, Vol.24, pp.68–78 https://doi.org/10.1016/j.ecoser.2017.02.009
– reference: 8) Hou, Y., Liu, T., Zhao, Z. and Wen, Y. (2020): Estimating the Cultural Value of Wild Animals in the Qinling Mountains, China: A Choice Experiment, Animals, Vol.10, No.12, pp.1–19 https://doi.org/10.3390/ani10122422
– reference: 18) Burnham, K.P. and Anderson, D.R. (2002): Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (2nd ed.), Springer https://doi.org/10.1007/b97636
– reference: 13) Kajikawa, M., Miyasaka, T., Kubota, Y., Oba, A. and Miyasaka, K. (2023): Quantifying Nationality Bias in Social Media Data on Different Platforms for Visitor Monitoring in Nikko National Park, Japan, Geographica Pannonica, Vol.27, No.4, pp.228–238 https://doi.org/10.5937/gp27-46222
– reference: 5) MA (Millennium Ecosystem Assessment) (2005): Ecosystems and Human Well-Being: Current State and Trends, Island Press
– reference: 14) 環境省生物多様性センター (2023): 国立公園区域等, http://gis.biodic.go.jp/webgis/sc-026.html?kind=nps, 参照 2023-10-31
– reference: 22) 福田一葉・下嶋聖・町田怜子・土屋薫・竹内将俊(2023): 人流データを用いた国立公園ごとの滞在人口の把握とビジターセンターの立地特性の分析, ランドスケープ研究, Vol.86, No.5, pp.487–492 https://doi.org/10.5632/jila.86.487
– reference: 11) 環境省 (2023): 日本の国立公園, https://www.env.go.jp/park/index.html, 参照 2023-10-31
– reference: 15) 環境省生物多様性センター (2023): 自然環境保全基礎調査, https://www.biodic.go.jp/kiso/15/do_kiso4.html#anchor01, 参照 2023-10-31
– reference: 16) 国土地理院 (2023): 基盤地図情報ダウンロードサービス, https://fgd.gsi.go.jp/download/menu.php, 参照 2023-10-31
– reference: 21) 環境省 (2023): 日本の国立公園: 歴史と制度, https://www.env.go.jp/park/about/history.html, 参照 2023-10-31
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SubjectTerms biodiversity
GIS
nature-based tourism
social networking service
wild animal
Title ソーシャルメディアの位置情報付き写真を用いた保護地域における野生動物の文化的サービス空間評価
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