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Integrating social media analysis and revealed preference methods to value the recreation services of ecologically engineered wetlands

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  • Ghermandi, Andrea

Abstract

Social media provide a wealth of behavioral data that can be used to investigate the provision of environmental services. In this study, the preferences revealed by photo-sharing social media users are analyzed through travel cost modeling to infer the monetary value of recreation in 115 man-made wetland ecosystems. Photographs’ metadata and other publicly available information are used to determine the frequency of recreational trips and the home location of visitors. The mean willingness to pay for access to 115 wetlands is found to range between $5.3 and $374 (2015 international $). The comparison of estimated recreational benefits with the capital, operation and maintenance costs of 74 wetlands reveals that such benefits are considerable and should be taken into account in the design and management of these systems. The approach demonstrates the potential for ecosystem service valuation techniques to incorporate the large amounts of behavioral data available from online resources.

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  • Ghermandi, Andrea, 2018. "Integrating social media analysis and revealed preference methods to value the recreation services of ecologically engineered wetlands," Ecosystem Services, Elsevier, vol. 31(PC), pages 351-357.
    • Handle: RePEc:eee:ecoser:v:31:y:2018:i:pc:p:351-357
    DOI: 10.1016/j.ecoser.2017.12.012
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    1. Dai, Peichao & Zhang, Shaoliang & Gong, Yunlong & Zhou, Yuan & Hou, Huping, 2022. "A crowd-sourced valuation of recreational ecosystem services using mobile signal data applied to a restored wetland in China," Ecological Economics, Elsevier, vol. 192(C).
    2. Tharaka A. Jayalath & Patrick Lloyd-Smith & Marcus Becker, 2023. "Biodiversity Benefits of Birdwatching Using Citizen Science Data and Individualized Recreational Demand Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 86(1), pages 83-107, October.
    3. Mercado, Waldemar & Vásquez Lavín, Felipe & Ubillus, Karina & Orihuela, Carlos Enrique, 2020. "¿Es relevante la biodiversidad en la decisión de visita a los parques nacionales en el Perú?," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 20(02), December.
    4. Kolstoe, Sonja & Naald, Brian Vander & Cohan, Alison, 2022. "A tale of two samples: Understanding WTP differences in the age of social media," Ecosystem Services, Elsevier, vol. 55(C).
    5. Song Liu & Xiaoyan Ma, 2021. "How Social Networks Affect the Spatiotemporal Planning of Smart Tourism: Evidence from Shanghai," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    6. Sinclair, Michael & Mayer, Marius & Woltering, Manuel & Ghermandi, Andrea, 2020. "Valuing nature-based recreation using a crowdsourced travel cost method: A comparison to onsite survey data and value transfer," Ecosystem Services, Elsevier, vol. 45(C).
    7. Sinclair, Michael & Ghermandi, Andrea & Signorello, Giovanni & Giuffrida, Laura & De Salvo, Maria, 2022. "Valuing Recreation in Italy's Protected Areas Using Spatial Big Data," Ecological Economics, Elsevier, vol. 200(C).
    8. Lingua, Federico & Coops, Nicholas C. & Griess, Verena C., 2022. "Valuing cultural ecosystem services combining deep learning and benefit transfer approach," Ecosystem Services, Elsevier, vol. 58(C).
    9. Del Rossi, Gemma & Kling, Catherine L. & Rudik, Ivan, 2023. "The Economic Value of State Parks: Revealed Preference Estimates Using Cell Phone Data," 2023 Annual Meeting, July 23-25, Washington D.C. 335730, Agricultural and Applied Economics Association.
    10. Raviv, Orna & Zemah Shamir, Shiri & Izhaki, Ido & Sagie, Hila & Negev, Maya & Mazor-Tregerman, Maya & Collins-Kreiner, Noga & Mansfeld, Yoel & Lotan, Alon, 2020. "The socioeconomic value of multiple ecosystem types at a biosphere reserve as a baseline for one holistic conservation plan," Ecosystem Services, Elsevier, vol. 41(C).
    11. Xinwei Guo & Bin Yu & Meiyan Yan & Hui Guo & Junhu Ren & Hanxia Zhang & Zonggang Zhang, 2022. "Endogenous Development Models and Paths Selection of Rural Revitalization from the Perspective of Ecological Environment Advantages: A Case Study of Nanshi Village, China," IJERPH, MDPI, vol. 19(19), pages 1-24, September.
    12. Depietri, Yaella & Ghermandi, Andrea & Campisi-Pinto, Salvatore & Orenstein, Daniel E., 2021. "Public participation GIS versus geolocated social media data to assess urban cultural ecosystem services: Instances of complementarity," Ecosystem Services, Elsevier, vol. 50(C).

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