Reduce, Reuse, Recycle and Recovery in Sustainable Construction Waste Management

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The construction industry consumes a substantial amount of raw materials in its processes and the output is obviously the product and most importantly the waste material. Other than that, the construction industry is well known as one of the worst environmental polluters. This study is to determine the use of waste minimisation technique in creating sustainable waste management in order to identify the technique which has the most capabilities to reduce on-site waste. The objective of this study is to assess the waste minimization techniques taken from the 4R concept (which includes reduce, reuse, recycle and recovery techniques) in minimizing the waste in construction waste management. The most used waste minimization technique found in the 4R concept would be waste reduction. This shows that the local construction industry has the knowledge necessary to plan out the waste management processes but the implementation is still far from satisfying. Additionally, the findings reveal that because the industry is profit-driven, construction practitioners are motivated by profit to adapt to this techniques.

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Periodical:

Advanced Materials Research (Volumes 446-449)

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937-944

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January 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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956 102 Although the Cronbach's Alpha value shows a reliable value but it doesn't mean it is highly reliable. To determine the reliability, we will test each section of the instrument. The result is as shown in Table 2. Table 2: Reliability Test by Section Item Cronbach's Alpha Number of Item Reducing.

DOI: 10.1787/888933473532

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956 1 Reuse.

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68 Recycle.

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66 Recovery.

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79 Based on Table 2, we can see that all the items gave a reliable value except for recovery. Item recovery gave out α = 0. 144 < 0. 6 value due to the lack of respondent not answering this question because waste recovery are not being practiced in the local construction industry. In the next analysis, the researcher analyzed the types of projects that take part in this research. The result of the analysis is as shown in Figure 1. Figure 1: Type of Projects According to Figure 1, the majority of respondent came from housing projects which contribute 47 percent of the data or 19 respondents. This is because there are currently many housing projects being develop compared to other projects. Commercial projects came in second contributing 23 percent of the data or 9 respondents. Third are the factory projects with 18 percent or 7 and lastly the high rise building projects with 12 percent or 5 respondents. Reduce, Reuse, Recycle and Recovery Technique Usage Analysis In this section, the most used 4R' concept techniques is analyzed. The result is as shown in Table3. Table 3: The 4R' Concept Techniques Ranking 4R' Concept Mean Std. Deviation Reduce.

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[2] 8731.

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69714 Reuse.

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[2] 3857.

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56360 Recycle.

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[2] 2333.

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70615 Recovery.

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[1] 0000.

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00000 In this analysis, the result has been arranged to form a ranking based on their mean. Based on Table 3, waste reduction has been identified as the most used 4R' concept technique in the local construction industry. The mean value given is 2. 88. The second most preferred technique use was the waste reuse technique which gave a mean value of 2. 39. Third would be the waste recycle technique which gave a mean value of 2. 23. Finally, the least used technique, the waste recovery technique, gave a mean value of 1. 00. Analysis of Relationship between The 4R' Techniques and Waste Produced on Sites In this analysis, the correlation method is used as a tool to analyze the data. The correlation is used to evaluate the relationship between variables. The aim of this analysis is to determine the relationship between the 4R concept and waste produce on local construction sites. The significant 2-tailed value will be the value to determine the outcome. The result is as shown on Table 4. Table 4: Relationship of 3R' and Waste Produce Value Reduce Reuse Recycle Waste Produced Pearson Correlation.

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031 -0. 124 -0. 110 Significant Value (2-tailed).

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498 Number 40 40 40 Based on table 4, the waste reduction technique shows no significant relationship with the waste produced on the site. This is because the significant value, sig. = 0. 85, is higher than the minimum significant value α < 0. 05 and thus, H01 is accepted. The H01 for this research is that there is no significant relationships between the wastes reduced and wastes produced. The pearson correlation value obtain was 0. 031 and that means that the relationship is in line with the two variables. Additionally, the waste reuse technique shows no significant relationship with the waste produced on site. This is because the significant value, sig. = 0. 45, is higher than the minimum significant value α < 0. 05 and thus, H02 is accepted. The H02 for this research is, there is no significant relationship between waste reuse and waste produced on site. The pearson correlation value shows a negative value so there is no need to discuss this. Furthemore, the waste recycle technique shows no significant relationship with the waste produced on site. This is because the significant value, sig. = 0. 50, is higher than the minimum significant value α < 0. 05 and thus, H03 is accepted. The H03 for this research is, there is no significant relationship between waste recycle and waste produced on site. The pearson correlation value shows a negative value so there is no need to discuss this. For the waste recovery technique, there is no result obtained because many of the respondents did not answer this section and because of that H04 which mentains: there is no significant relationship between waste reduction and waste produced on site is not usable. Analysis of Differentials among the 4R' Technique Used on Construction Sites Based on Table 5, the waste reduction and reuse techniques shows no significant difference with other 4R concept techniques. This is because the significant value is higher than the minimum significant value α < 0. 05. Table 5: The Differences Between the 4R' Concept Techniques Used Technique Sum of Squares Mean Square Significant value Reduction Between Groups.

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[2] 334.

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597 Within Groups.

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[16] 620.

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504 Total.

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[18] 954 Reuse Between Groups.

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[1] 964.

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420 Within Groups.

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[10] 424.

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316 Total.

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[12] 388 Recycle Between Groups.

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[5] 919.

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049 Within Groups.

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[13] 529.

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410 Total.

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