An assessment of construction waste management in India: A statistical approach.

An assessment of construction waste management in India: A statistical approach.

Kolaventi, Swarna Swetha;Tezeswi, T P;Siva Kumar, Mvn;
Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA 2019 pp. 734242X19867754
298
kolaventi2019anwaste

Abstract

Construction waste needs to be managed in order to minimize environmental burden in India and conserve existing natural resources. Despite numerous policies and guidelines there is improper construction waste management. Towards addressing this issue, a novel approach is presented to unraval and investigate waste management in India using four methods: quantification of waste by wastivity; grouping of influence factors (IFs) by factor analysis; ranking of IFs by analogous importance index; and determination of attitude by concordance among construction crew. The outcomes forecast wastivity of concrete (4.14%) and steel (1.62%), respectively. Exploratory factor analysis groups factors into five categories. The top influence factor (CMT6, 0.901) according to contractors and academicians is: workers should be given training in identifying recyclable material. Engineers favor enforcement of strict punishment for illegal disposal of wastes in violation of Environmental Protection Agency regulations (CMT7, 0.895). Computed concordance indicates: moderate agreement (0.68) among variables under the construction method; strong agreement among variables in documentation (0.76) and construction equipment (0.81); and very strong agreement among variables in worker intention (1.00) and materials (1.00). The variation in attitude of the workforce towards waste management and the proclivity of policy developers towards protocols which include training of workers in efficient waste management are quantified.

Citation

ID: 12243
Ref Key: kolaventi2019anwaste
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
12243
Unique Identifier:
10.1177/0734242X19867754
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet