The Use of a GIS System as a Decision Support Tool for Municipal Solid Waste Management Planning: The Case Study of Al Nuzha District, Irbid, Jordan

Hatamleh, Randa I.; Jamhawi, Monther; Al-Kofahi, Salman D.; Hijazi, H.

doi:10.1016/j.promfg.2020.02.221

Cited by 17 publications

(7 citation statements)

References 19 publications

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“…Purkayastha et al (2015) stated that, if waste bin placement is improved while open dumping areas are reduced and recycled, it would be an important step to initiate a clean world. Hatamleh et al (2020) found a reduction in container placement distance by 2880.2 m in each round and the percentage of abandoned containers reduced from 25% to zero.…”

Section: Spatial Variation Of Placement Distance Of Binsmentioning

confidence: 92%

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Afzal

Afsar

Lahori

et al. 2021

IJEEG

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Karachi has been facing various issues of municipal solid waste management. In the early 1960s, Karachi was the centre of leisure, now it has stretched out due to its increasing population. However, due to insufficient facilities and ineffective strategies, issues related to waste management are also increasing. For the problems related to waste management, the fundamental units available are municipal trash bins. In this study, 409 GPS point data of collection points of waste have been assembled from various areas of Karachi for assessment of the spatial distribution of waste bins. A spatial variation of distance between the trash bins is also identified through ArcGIS 10.3.1 cartography tool of generalization, which aggregates the points of trash bins by making polygon shape of the same distance. Globally, Geospatial techniques are used for changing the system of waste management. This is the first study that assessed the suitable distance of bins placement in the area under focus. The results revealed that there are no principles acquired by the government for the placement of trash bins with appropriate distance. In many towns of Karachi like Landhi and Korangi, bins are absent which impels people to throw their trash anywhere in the city

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Section: Spatial Variation Of Placement Distance Of Binsmentioning

confidence: 92%

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Afzal

Afsar

Lahori

et al. 2021

IJEEG

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“…The spatial data of roads created, along with the 39 CPs and 1 DP (as discussed in Section 3.4.1), are used to find the optimized route to transport the SW through network analysis. A GIS-enabled network analysis tool is useful to find the shortest path between two points, the distance, and the cost [29,43]. In the current study, the network analysis is implemented to determine the optimal route to transport MSW in Curitiba, as described in Section 3.4.3.…”

Section: Optimization Of Route Through Gis-enabled Network Analysismentioning

confidence: 99%

Optimization of Municipal Waste Streams in Achieving Urban Circularity in the City of Curitiba, Brazil

et al. 2023

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The municipal solid waste (MSW) remains a great challenge in most cities of developing countries, as the majority of the generated waste is either not collected or is dumped in open uncontrolled non-engineered landfill sites, creating significant pollution due to the leakage of landfill leachate in the surrounding environment. In developing countries, a complete transition to a zero-landfill scenario is less likely to happen in the near future due to various socio-economic challenges. Therefore, the existing landfills in developing countries need holistic waste management thinking with more efforts on waste to energy conversions. This study highlights the challenges with existing MSW management practices of Curitiba, Brazil, and suggests some holistic and sustainable landfill management techniques. This is accomplished through the (i) identification of the suitable sites for setting up transfer stations (TSs), (ii) route optimization for MSW transportation, and (iii) analysis of the life expectancy of the existing landfill with waste valorization techniques for enhancing circularity of MSW of the city. The study has identified six potential TSs, making use of various geological criteria and constraints as suggested by the United States Environmental Protection Agency using GIS-based spatial analysis, which could save fuel cost of approximately 1.5 million Brazilian Real (BRL) per year for the solid waste transportation (from the source to the landfill site). This research has also made a value addition in this specific field with the preparation of a digitized road network map of the study region. Further, the sensitivity-based scenario analysis highlights that the lifespan of the existing landfill (until 2030) might be extended to 2058 if the city achieves the targeted recycling rate of 85% compared with the current rate of 23%. The results would be useful for policy-makers to adopt the crucial MSW scenario to achieve a circular economy in the waste management of the city of Curitiba.

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“…The latter system is informed by the artificial system with real-time data about the fill level of bins, and therefore the collectors can either go to the bins recommended by the artificial system or follow the fixed routes allocated to the trucks. A similar study [ 27 ] highlighted the use of mathematical calculations and statistical analysis to determine the optimal distance between bins throughout the city and the best route according to the distances between trucks and bins. The bins’ locations were defined through a GIS (Geographic Information System) network analysis to optimize the planned routes.…”

Section: Related Workmentioning

confidence: 99%

A Collaborative Application for Assisting the Management of Household Plastic Waste through Smart Bins: A Case of Study in the Philippines

Sidhu

Pons-Buttazzo

Muñoz

et al. 2021

Sensors

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The management and collection of household waste often represents a demanding task for elderly or impaired people. In particular, the increasing generation of plastic waste at home may pose a problem for these groups, as this type of waste accumulates very rapidly and occupies a considerable amount of space. This paper proposes a collaborative infrastructure to monitor household plastic waste. It consists of simple smart bins using a weight scale and a smart application that forecasts the amount of plastic generated for each bin at different time horizons out of the data provided by the smart bins. The application generates optimal routes for the waste-pickers collaborating in the system through a route-planning algorithm. This algorithm takes into account the predicted amount of plastic of each bin and the waste-picker’s location and means of transport. This proposal has been evaluated by means of a simulated scenario in Quezon City, Philippines, where severe problems with plastic waste have been identified. A set of 176 experiments have been performed to collect data that allow representing different user behaviors when generating plastic waste. The results show that our proposal enables waste-pickers to collect more than the 80% of the household plastic-waste bins before they are completely full.

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The Use of a GIS System as a Decision Support Tool for Municipal Solid Waste Management Planning: The Case Study of Al Nuzha District, Irbid, Jordan

Cited by 17 publications

References 19 publications

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Optimization of Municipal Waste Streams in Achieving Urban Circularity in the City of Curitiba, Brazil

A Collaborative Application for Assisting the Management of Household Plastic Waste through Smart Bins: A Case of Study in the Philippines

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