Evidence map›Paper›PMID 30326615›Full record

ArticleInternational journal of environmental research and public health2018

Combining AHP-Entropy Approach with GIS for Construction Waste Landfill Selection-A Case Study of Shenzhen.

Zhikun Ding, Menglian Zhu, Zezhou Wu, Yanbin Fu, Xia Liu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhikun DingDepartment of Construction Management and Real Estate, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China. ddzk@szu.edu.cn.
Menglian ZhuFinancial Investment Management Service Center of Honghuagang District, Zunyi 563100, China. mlz321@163.com.
Zezhou WuDepartment of Construction Management and Real Estate, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China. wuzezhou@szu.edu.cn.
Yanbin FuDepartment of Civil Engineering, College of Civil Engineering, Shenzhen University, Shenzhen 518060, China. fuyanbin999@163.com.
Xia LiuArchitecture Engineering School, Chongqing Vocational Institute of Engineering, Chongqing, 400037, China. liuxiacqu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the recent fast economy development and rapid urbanization, the huge generation of construction waste has become a threat to sustainable development in China. Though efforts have been made to promote reuse and recycling of construction waste, landfilling of waste remains the most commonly adapted approach for construction waste disposal. As the space for landfills is limited and because of the negative issues in terms of environmental and social aspects that may be caused, the appropriate site selection of landfills is crucial. With this background, this paper aims to establish a framework for facilitating landfill selection for construction waste. To begin with, a total of sixteen factors that may influence landfill site selection were identified from a literature review. Then, based on the combined analytic hierarchy process (AHP) and entropy method, the weights and the final comprehensive scores of the identified factors were calculated. According to the derived results, potential sites for landfills were divided into three levels, namely the most appropriate (0.38%), appropriate (17.58%), and inappropriate (82.04%). The proposed decision-making methods in this paper can provide a valuable reference for the selection of construction waste landfill sites.

Indexed as

Construction IndustryDecision MakingWaste Disposal FacilitiesChinaEntropyGeographic Information SystemsRefuse DisposalUrbanizationWaste ProductsWaste ProductsAHP-entropy approachconstruction wastegeographic information system (GIS)landfill selectionShenzhen

Identifiers

PMID30326615
PMCPMC6210795

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.