Optimization of a Recyclable Waste Collection System - The Valorsul Case Study

Author(s):  
Diogo Lopes ◽  
Tânia Rodrigues Pereira Ramos ◽  
Ana Paula Barbosa-Póvoa
2017 ◽  
Vol 12 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Rim Sallem ◽  
Mohamed Rouis

This paper presents a method for optimizing the household waste collection system supported by Geographical Information System (GIS) tool for the sector 1of district El Bousten of Sfax commune, Tunisia. The ArcGIS Network Analyst based model is applied for the purpose of improving the collection process effectiveness, namely, the household collection bins’ reallocation along with the vehicles’ tour optimization procedure in terms of distance and time. Results indicated a reduction of 25, 83% in route and 21, 5 % in the time spent of collection along with fuel consumption savings. These findings show that GIS based model tends to exhibit significant improvements as to the collection and transportation system, therefore, to its economical and environmental costs.


2020 ◽  
Vol 12 (14) ◽  
pp. 5520
Author(s):  
Nicola Laurieri ◽  
Andrea Lucchese ◽  
Antonella Marino ◽  
Salvatore Digiesi

Municipal waste management is a relevant topic these days, in its relation to sustainable and environmental concerns. Sorting waste fractions at home for a door-to-door collection system proves to positively affect the environmental impacts of waste management strategies both by reducing the amounts of the waste landfilled and by originating new circular economies. However, the environmental impact caused by both waste collection and transport, together with waste quality, should be carefully evaluated to assess the sustainability of such a collection system. In order to evaluate the logistic and environmental effectiveness of a newly implemented door-to-door collection system in Altamura, a mid-sized town in Southern Italy, a survey was designed and submitted to a sample of citizens. The results obtained from the 385 completed surveys show that the door-to-door collection of glass waste is inefficient since most of the designated bins remain partially filled and less frequently delivered; citizens are more motivated to adequately collect sorted waste fractions upon receiving information about the subsequent environmental benefits and outcomes of the fractions collected; a high percentage of people still use disposable items in their daily life. Possible changes to the weekly bins collection schedule have been proposed in order to have a more proficient and environmentally sustainable waste collection service in the town. The survey is part of a project aiming at developing a smart device to support users in home waste management.


2015 ◽  
Vol 7 (6) ◽  
pp. 7492-7511 ◽  
Author(s):  
Manuela Carchesio ◽  
Fabio Tatàno ◽  
Margherita Goffi ◽  
Michele Radi

2018 ◽  
Vol 36 (9) ◽  
pp. 760-766 ◽  
Author(s):  
Thomas Tsalis ◽  
Sonia Amarantidou ◽  
Paolo Calabró ◽  
Ioannis Nikolaou ◽  
Dimitrios Komilis

The implementation of a recyclable waste management system is a serious challenge for a society that aims to contribute to sustainability. The first operational step of such system is waste collection. In a number of European countries, the solid waste collection system has changed from the conventional kerbside system to a door-to-door collection. However, this type of waste collection system has not yet been introduced in Greece and its public acceptance prior to potential full implementation needs to be considered. This study aims to investigate the willingness of the residents of a Greek city (Xanthi, Thrace) to change from the existing kerbside collection system and initiate and participate in a door-to-door recyclable waste collection system instead. A questionnaire was designed and distributed randomly to 150 residents of Xanthi and a statistical analysis was then performed to assess the influence of a number of explanatory variables on recycling behaviour and the willingness to participate in a door-to-door collection system. The findings of this study indicate that most of the respondents (72.7%) were willing to participate in a future door-to-door recyclables collection programme in Xanthi. The factors that influenced the respondents’ attitude with regard to such a programme were associated with level of education, their beliefs about the effectiveness of the current recycling system and also their attitudes towards recycling issues in general. Age and religion significantly affected recycling frequency. The survey and statistics presented in this article can be used as a model to assess the behaviour of citizens towards recyclable waste management systems worldwide.


2021 ◽  
pp. 0734242X2110637
Author(s):  
Sedat Yalcinkaya ◽  
Sevin Uzer

This study aims to develop a geographic information system (GIS)-based multi-criteria decision support model to create optimal plans for locating municipal solid waste (MSW) collection points. The model performs a series of consecutive GIS-based spatial analyses to determine alternative plans. Then, it weighs the alternatives considering the social, economic and environmental criteria to determine the optimum solution through analytical hierarchy process. The model was implemented as a case study in Çağdaş neighbourhood of Izmir, Turkey. A total of 42 locations were determined as the optimum collection points out of 245 possible collection points, which yields 39% reduction in collection points compared to the existing system. Total number of waste bins and average walking distance to waste collection points were calculated as 129 and 33 m, respectively. The municipal authority would spend 48.79 $ day−1 on fuel for waste collection and transport. In addition, daily air pollutant emissions generated during the operations were estimated as 2.052 g CO, 0.231 g NMVOC, 8.409 g NOx, 0.954 g N2O, 0.260 g NH3, 0.000227 g Pb and 0.0231 g PM 2.5. The results indicated that 14 out of 69 collection points in the existing collection system were not allocated to any waste source geographically. This study presents a unique method for planning MSW collection points on two key aspects: (1) development of a novel method to determine all possible collection point locations using Thiessen polygons and (2) presenting a holistic planning method considering the impacts of the collection system on the waste generators and waste collectors.


2021 ◽  
Vol 13 (4) ◽  
pp. 1785
Author(s):  
Mar Carlos-Alberola ◽  
Antonio Gallardo Izquierdo ◽  
Francisco J. Colomer-Mendoza ◽  
Esther Barreda-Albert

Waste collection is one of the most important public services in a town. However, waste collection has not been effectively implemented in some places due to the lack of economic and management resources. The waste is placed in inappropriate sites with the consequent risks of pollution and unhealthy conditions for the inhabitants. Therefore, establishing a municipal solid waste collection plan can be complicated. The methodologies and techniques that work in countries with medium and high income levels cannot be extrapolated to others with low income level because the boundary conditions are widely different. The aim of this paper is to design a municipal solid waste collection system adapted to this type of situation where not much money can be invested and where data are limited. In these cases, municipalities need to use their existing resources effectively. This paper offers a methodology for these cases as well as a case study. The first step was to gather information about the type and amount of waste generated and the characteristics of the town. The second step was to propose the location of the bins and, finally, the waste collection routes. With all these data, the technical and human resources were set. The methodology used was validated in a real case, the town of Nikki (Benin) in Africa. The collection of three waste fractions was designed with the actual resources of the city in order to offer a realistic implementation. Similar situations can be found around the world, and this case study can be used as an example to improve the waste management practices in some places with low resources.


2017 ◽  
Vol 35 (2) ◽  
pp. 155-162 ◽  
Author(s):  
Lukas Kranzinger ◽  
Kerstin Schopf ◽  
Roland Pomberger ◽  
Elisabeth Punesch

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