Waste disposal and segregation in public areas.

<div><p>Understanding the behavior and the challenges of visually impaired individuals in waste separation remains a significant research gap that affects the development of an inclusive and sustainable society. This research study aims to identify and analyze the factors influencing the waste separation behavior of visually impaired people and the key obstacles that these individuals face in public spaces. The study uses a quantitative approach, relying on surveys to gather data from a sample of 358 visually impaired individuals through the use of structured questionnaires. The data was then examined using multiple regression analysis. Results revealed that 91.1% possessed a moderate understanding of waste segregation, while 97.7% held generally positive attitudes toward the practice. Approximately 74.9% of the participants actively engaged in waste segregation at a moderate level. Motivation emerged as the most significant influence of proper waste management behavior, alongside attitude and knowledge. However, challenges persist in public settings, where 69.3% of participants discarded waste without regard to bin types, primarily due to difficulties in distinguishing bin colors and general ignorance. To better address their needs, participants recommended practical solutions, such as bins designed to be distinguishable by shape or sound, ensuring a more accessible and inclusive waste segregation system. This research can help in designing targeted interventions that promote sustainable waste management practices for visually impaired individuals. It can also provide valuable information to researchers, practitioners, and policymakers working towards creating inclusive and accessible waste management environments and processes for people with visual impairments.</p></div>

Publication Details

Journal
Figshare
Published
2024-12-30
DOI
https://doi.org/10.1371/journal.pone.0315591.s001
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Waste disposal and segregation in public areas.

Figshare
Municipal Solid Waste Management
article

Waste disposal and segregation in public areas.

article en

Abstract

<div><p>Understanding the behavior and the challenges of visually impaired individuals in waste separation remains a significant research gap that affects the development of an inclusive and sustainable society. This research study aims to identify and analyze the factors influencing the waste separation behavior of visually impaired people and the key obstacles that these individuals face in public spaces. The study uses a quantitative approach, relying on surveys to gather data from a sample of 358 visually impaired individuals through the use of structured questionnaires. The data was then examined using multiple regression analysis. Results revealed that 91.1% possessed a moderate understanding of waste segregation, while 97.7% held generally positive attitudes toward the practice. Approximately 74.9% of the participants actively engaged in waste segregation at a moderate level. Motivation emerged as the most significant influence of proper waste management behavior, alongside attitude and knowledge. However, challenges persist in public settings, where 69.3% of participants discarded waste without regard to bin types, primarily due to difficulties in distinguishing bin colors and general ignorance. To better address their needs, participants recommended practical solutions, such as bins designed to be distinguishable by shape or sound, ensuring a more accessible and inclusive waste segregation system. This research can help in designing targeted interventions that promote sustainable waste management practices for visually impaired individuals. It can also provide valuable information to researchers, practitioners, and policymakers working towards creating inclusive and accessible waste management environments and processes for people with visual impairments.</p></div>

Figshare
Openalex Percentile: Top 56%
Municipal Solid Waste Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.