Rural communities across the globe continue to grapple with multifaceted challenges related to sustainability, water management, educational disparities, and economic instability. This paper addresses the multidimensional challenges faced by rural communities through an integrated approach to sustainability and resilience-building. Using Participatory Rural Appraisal (PRA) and Human-Centered Design (HCD) methodologies, we worked closely with local communities to co-create region-specific solutions. The integration of linear regression models provided quantitative insights into factors influencing water consumption and waste generation, enabling more effective, data-driven decision-making. Key interventions focused on improving water management, economic stability, and educational opportunities. These community-driven strategies align with the United Nations’ Sustainable Development Goals (SDGs) and are designed to be scalable and transferable to other rural contexts, contributing to long-term resilience and sustainability. The integration of data-driven models with community-driven approaches underscores the potential for long-term resilience in rural development.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Empowering Rural India: Integrating Community Solutions and Linear Regression for Sustainable Water and Waste Management

  • K. Ganesh,
  • R. Aishwarya,
  • Panchumarthi Mohithi,
  • Yogesh Agarwal,
  • N. Lalithamani,
  • S. Sabarinath,
  • Renjith Mohan

摘要

Rural communities across the globe continue to grapple with multifaceted challenges related to sustainability, water management, educational disparities, and economic instability. This paper addresses the multidimensional challenges faced by rural communities through an integrated approach to sustainability and resilience-building. Using Participatory Rural Appraisal (PRA) and Human-Centered Design (HCD) methodologies, we worked closely with local communities to co-create region-specific solutions. The integration of linear regression models provided quantitative insights into factors influencing water consumption and waste generation, enabling more effective, data-driven decision-making. Key interventions focused on improving water management, economic stability, and educational opportunities. These community-driven strategies align with the United Nations’ Sustainable Development Goals (SDGs) and are designed to be scalable and transferable to other rural contexts, contributing to long-term resilience and sustainability. The integration of data-driven models with community-driven approaches underscores the potential for long-term resilience in rural development.