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<p>To fill data gaps in human-environment systems, especially in difficult-to-access locations, novel tools are needed to collect (near) real-time data from diverse populations across the globe. Here we discuss the practicalities, constraints, and lessons learnt from six field studies using high spatial and temporal smartphone surveys in six different countries. We suggest that high spatiotemporal, self-administered smartphone surveys will produce novel insights into human behaviour, attitudes, and socio-economic characteristics that, when matched with high spatiotemporal resolution environmental data (e.g., from remote sensing), can be used to address sustainability challenges for global communities. Furthermore, we highlight the need for continuous refinement and improvement in future developments to enhance the efficacy of this methodology. By sharing the practical implications and constraints associated with smartphone surveys, this article contributes to the evolving landscape of data collection methods.</p>

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Realities of using self-administered smartphone surveys to solve sustainability challenges

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月19日

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  • Amy R. Lewis,
  • Simon Willcock,
  • Ana Casas,
  • Beata Kupiec-Teahan,
  • José Mendoza Sanchez,
  • Fiona Anciano,
  • Dani J. Barrington,
  • Mmeli Dube,
  • Paul Hutchings,
  • Caroline Karani,
  • Arturo Llaxacondor,
  • Hellen López,
  • Anna L. Mdee,
  • Keosothea Nou,
  • Alesia D. Ofori,
  • Joy N. Riungu,
  • Kory C. Russel,
  • Md Ehsanul Haque Tamal,
  • Alison H. Parker,
  • Andrew R. Bell

摘要

To fill data gaps in human-environment systems, especially in difficult-to-access locations, novel tools are needed to collect (near) real-time data from diverse populations across the globe. Here we discuss the practicalities, constraints, and lessons learnt from six field studies using high spatial and temporal smartphone surveys in six different countries. We suggest that high spatiotemporal, self-administered smartphone surveys will produce novel insights into human behaviour, attitudes, and socio-economic characteristics that, when matched with high spatiotemporal resolution environmental data (e.g., from remote sensing), can be used to address sustainability challenges for global communities. Furthermore, we highlight the need for continuous refinement and improvement in future developments to enhance the efficacy of this methodology. By sharing the practical implications and constraints associated with smartphone surveys, this article contributes to the evolving landscape of data collection methods.