Constructing an Actionability Evaluation Indicator System for Public Meteorological Services: A Protective Action Decision Model-Based Framework for Flue-Cured Tobacco Production in Liuyang

DOI

10.2991/978-94-6239-783-5_3How to use a DOI?

Keywords

public meteorological services; actionability; PADM; warning-to-action conversion; evaluation indicator system; flue-cured tobacco

Abstract

Public meteorological services in agriculture are increasingly expected to do more than release forecasts; they are also expected to help users turn warnings into timely protective action. Yet at county and grassroots levels, a persistent gap remains between receiving a warning and actually responding to it. Existing evaluation approaches usually center on forecast accuracy, user satisfaction, or economic benefit. While useful for assessing service supply or ex post outcomes, these approaches do not fully explain why some warnings fail to trigger disaster-prevention behavior even after they have been received. Building on the Protective Action Decision Model (PADM), this study develops an actionability evaluation framework organized around the sequence of warning reception, comprehension, assessment, and action, and operationalizes it in the context of flue-cured tobacco production in Liuyang, Hunan Province. The framework comprises four dimensions: Information Accessibility, Comprehension Reachability, Decision Usability, and Action Executability, covering 11 indicators in total. In this way, “actionability” is reframed from a general normative notion into a measurable and diagnosable process tool, offering a path for shifting public meteorological service evaluation from dissemination performance toward action performance.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Baisong Chen
AU  - Xinru Han
AU  - Youyu Zhang
AU  - Junhong Xu
AU  - Ge Wen
PY  - 2026
DA  - 2026/09/30
TI  - Constructing an Actionability Evaluation Indicator System for Public Meteorological Services: A Protective Action Decision Model-Based Framework for Flue-Cured Tobacco Production in Liuyang
BT  - Proceedings of the 2026 2nd International Conference on Resilient City and Safety Engineering (ICRCSE 2026)
PB  - Atlantis Press
SP  - 11
EP  - 18
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-783-5_3
DO  - 10.2991/978-94-6239-783-5_3
ID  - Chen2026
ER  -