Pal Indrajit, Baskota Ayush, Dhungana Ganesh, Udmale Parmeshwar, Gadhawe Mayuri Ashokrao, Doydee Puvadol, Nguyen Tanh T N, Sophat Seak, Banerjee Sreejita
Asian Institute of Technology, Pathum Thani 12120, Thailand.
Indian Institute of Technology Bombay, Mumbai 400076, India.
MethodsX. 2023 Jul 29;11:102301. doi: 10.1016/j.mex.2023.102301. eCollection 2023 Dec.
This paper presents a framework and toolkit for assessment of multi-hazard livelihood security and resilience in the Lower Mekong Basin (LMB) communities. The LMB is a subsidiary region of the Mekong region in South East Asia, and is frequently exposed to hydrometeorological hazards and anthropogenic stressors that expose and directly affect the livelihoods of more than sixty-five million people living in the region. The main purpose of the study is to support decision-making and risk management planning through integration of the concepts of livelihood security and resilience into a holistic framework, and subsequently developing an index-based toolkit for conducting assessments. Firstly, dimensions, sub-dimensions and indicators for measurement of livelihood security and resilience in the LMB were identified through comprehensive literature review and expert consultation. Then, several local workshops were conducted with various stakeholders (researchers, government officials, community people) in the LMB region to validate the indicators and generate weightages. The indicators were then arranged in a matriculated form, and the weightages were used to generate the algorithm for computing the quantitative outputs of livelihood security and resilience in study area. An Excel toolkit and a 'R' programming package were developed using the algorithm for visualization of the assessment outcomes. The proposed framework and toolkit are expected to assist researchers, government officials and development professionals in generating robust resilience assessment indices for risk informed decision-making and planning. Brief outline of the method •Livelihood security and resilience concepts were integrated to generate a holistic assessment framework and an indicator library.•Weightages for indicators were generated using the Analytical Hierarchical Process (AHP) through consultation with relevant stakeholders.•The indicator library was developed into an algorithm-based Excel and 'R' programming toolkit that provides quantitative assessment outputs.
本文介绍了一个用于评估湄公河下游流域（LMB）社区多灾种生计安全与恢复力的框架和工具包。湄公河下游流域是东南亚湄公河地区的一个附属区域，经常受到水文气象灾害和人为压力源的影响，这些灾害和压力源影响并直接危及该地区6500多万居民的生计。本研究的主要目的是通过将生计安全和恢复力的概念整合到一个整体框架中，从而支持决策和风险管理规划，并随后开发一个基于指标的工具包来进行评估。首先，通过全面的文献综述和专家咨询，确定了湄公河下游流域生计安全和恢复力测量的维度、子维度和指标。然后，在湄公河下游流域地区与不同的利益相关者（研究人员、政府官员、社区居民）举办了几次当地研讨会，以验证这些指标并确定权重。然后将这些指标以矩阵形式排列，并使用权重生成计算研究区域生计安全和恢复力定量输出的算法。利用该算法开发了一个Excel工具包和一个“R”编程包，用于可视化评估结果。所提出的框架和工具包预计将帮助研究人员、政府官员和发展专业人员生成强大的恢复力评估指标，以进行基于风险的决策和规划。方法简述•将生计安全和恢复力概念整合，生成一个整体评估框架和一个指标库。•通过与相关利益相关者协商，使用层次分析法（AHP）生成指标权重。•将指标库开发成一个基于算法的Excel和“R”编程工具包，提供定量评估输出。
