Analysis of intensity and spatial patterns of public use in natural treatment systems using geotagged photos from social media

Research output: Contribution to journalArticlepeer-review

Abstract

Patterns of public use in 273 natural treatment systems worldwide are investigated by means of geotagged data from two popular photo-sharing websites, using spatial analysis and regression techniques. Standardized Major Axis (SMA) regression is found to perform better than other univariate calibration models in terms of goodness of fit with reported visitation frequencies and predictive accuracy, and is used to predict visitation rates in 139 systems that are associated with at least one geotagged photograph. High visitation rates are found in free-water surface (FWS) constructed wetlands and mixed pond-constructed wetlands systems, as well as systems treating surface water or stormwater runoff. Geographic Information System (GIS) techniques are used to map hot and cold spots of public use in two highly visited systems. Binomial logit regression reveals that the probability to be associated with at least one geotagged photograph is a function of system size, system type, and influent water quality. The findings are discussed in terms of their implications for the evaluation of public use in multifunctional ecologically engineered systems as well as the applicability of the proposed methodology to other natural and man-made ecosystems.

Original languageEnglish
Pages (from-to)297-304
Number of pages8
JournalWater Research
Volume105
DOIs
StatePublished - 15 Nov 2016

Bibliographical note

Publisher Copyright:
© 2016 Elsevier Ltd

Keywords

  • Ancillary benefits
  • Constructed wetlands
  • Cultural ecosystem services
  • Ecological engineering
  • Recreation demand
  • Waste stabilization ponds

ASJC Scopus subject areas

  • Water Science and Technology
  • Ecological Modeling
  • Pollution
  • Waste Management and Disposal
  • Environmental Engineering
  • Civil and Structural Engineering

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