The Experts below are selected from a list of 267 Experts worldwide ranked by ideXlab platform

Hanene Lahiani - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of municipal solid waste collection using GIS and multi-criteria decision aid
    Applied Geomatics, 2019
    Co-Authors: Louati Amal, Habib Chabchoub, Hanene Lahiani
    Abstract:

    Global average temperature increases and causes extreme weather events, killing millions of people and affecting economic stability. Municipal solid waste (MSW) is one of the primary factors that contribute to climate change that is the main concern of various municipalities in the world. In this paper, a two-step systematic approach is proposed to analyze municipal solid waste collection (MSWC) in Sfax, the second most populated city in Tunisia. In the first step, three feasible waste collection scenarios were suggested and have gained the consensus of decision makers and stakeholders. In the second, a geographic information system–based multi-criteria decision aid approach is proposed to identify the most appropriate scenario. Firstly, the Network Analyst function in ArcGIS is used to determine the optimal routes with the traveling distances and operational time of vehicles associated to each scenario. Secondly, a ranking of scenarios is produced by ELECTRE III method. Six pseudo criteria such as fuel consumption cost, gas emission, reliability, road length, and compatibility with the national energy policy were taken into account. The results suggest a relatively efficient and environment-friendly scenario where all vehicles start their trips from the depot, collect garbage from the gather sites, and unload waste at a transfer station then travel back to the depot. The methodology can be adopted into similar contexts to improve the effectiveness of MSW collection through the systematic use of GIS.

Louati Amal - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of municipal solid waste collection using GIS and multi-criteria decision aid
    Applied Geomatics, 2019
    Co-Authors: Louati Amal, Habib Chabchoub, Hanene Lahiani
    Abstract:

    Global average temperature increases and causes extreme weather events, killing millions of people and affecting economic stability. Municipal solid waste (MSW) is one of the primary factors that contribute to climate change that is the main concern of various municipalities in the world. In this paper, a two-step systematic approach is proposed to analyze municipal solid waste collection (MSWC) in Sfax, the second most populated city in Tunisia. In the first step, three feasible waste collection scenarios were suggested and have gained the consensus of decision makers and stakeholders. In the second, a geographic information system–based multi-criteria decision aid approach is proposed to identify the most appropriate scenario. Firstly, the Network Analyst function in ArcGIS is used to determine the optimal routes with the traveling distances and operational time of vehicles associated to each scenario. Secondly, a ranking of scenarios is produced by ELECTRE III method. Six pseudo criteria such as fuel consumption cost, gas emission, reliability, road length, and compatibility with the national energy policy were taken into account. The results suggest a relatively efficient and environment-friendly scenario where all vehicles start their trips from the depot, collect garbage from the gather sites, and unload waste at a transfer station then travel back to the depot. The methodology can be adopted into similar contexts to improve the effectiveness of MSW collection through the systematic use of GIS.

Vassili Loumos - One of the best experts on this subject based on the ideXlab platform.

  • municipal waste collection of large items optimized with arcgis Network Analyst
    21st Conference on Modelling and Simulation, 2007
    Co-Authors: Nikolaos V Karadimas, Maria Kolokathi, Gerasimoula Defteraiou, Vassili Loumos
    Abstract:

    In the present paper the ArcGIS Network Analyst Algorithm is introduced for best routing identification applied in municipal waste collection of large items. The proposed application takes into account all the required parameters for the waste collection of large items so as its desktop users to be able to model realistic Network conditions and scenarios. In this case, the simulation consists of scenarios of visiting loading spots in the municipality of Athens, in order to collect large items that couldn’t be collected by the standard waste collection trucks, due to size and other prohibitive obstacles. The Network Analyst is used to estimate interrelations between the dynamic factors, like Network traffic changes (closed roads due to natural or technical causes, for example, fallen trees, car accidents, etc) in the area under study and to produce optimized solutions. The user is able to define or modify all the required dynamic factors for the creation of an initial scenario, and by modifying these particular parameters, alternative scenarios can be generated leading to several solutions. Finally, the optimal solution is identified by a function that takes into consideration various parameters, for example the shortest distance, road Network as well as social and environmental implications.

  • ant colony system vs arcgis Network Analyst the case of municipal solid waste collection
    2007
    Co-Authors: Nikolaos V Karadimas, Maria Kolokathi, Gerasimoula Defteraiou, Vassili Loumos
    Abstract:

    In the present paper, two individual algorithmic solutions, the ArcGIS Network Analyst and the Ant Colony System (ACS) algorithm, are introduced, implemented and discussed for the identification of optimal routes in the case of Municipal Solid Waste (MSW) collection. Both proposed applications are based on a geo-referenced spatial database supported by a Geographic Information System (GIS). The GIS takes into account all the required parameters for the MSW collection (i.e. positions of waste bins, road Network and the related traffic, truck capacities, etc) and its desktop users are able to model realistic Network conditions and scenarios. In this case, the simulation consists of scenarios of visiting varied waste collection spots in the Municipality of Athens (MoA). The user, in both applications, is able to define or modify all the required dynamic factors for the creation of an initial scenario, and by modifying these particular parameters, alternative scenarios can be generated. Finally, the optimal solution is estimated by each routing optimization algorithm, followed by a comparison between these two algorithmic approaches on the newly designed collection routes.

Habib Chabchoub - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of municipal solid waste collection using GIS and multi-criteria decision aid
    Applied Geomatics, 2019
    Co-Authors: Louati Amal, Habib Chabchoub, Hanene Lahiani
    Abstract:

    Global average temperature increases and causes extreme weather events, killing millions of people and affecting economic stability. Municipal solid waste (MSW) is one of the primary factors that contribute to climate change that is the main concern of various municipalities in the world. In this paper, a two-step systematic approach is proposed to analyze municipal solid waste collection (MSWC) in Sfax, the second most populated city in Tunisia. In the first step, three feasible waste collection scenarios were suggested and have gained the consensus of decision makers and stakeholders. In the second, a geographic information system–based multi-criteria decision aid approach is proposed to identify the most appropriate scenario. Firstly, the Network Analyst function in ArcGIS is used to determine the optimal routes with the traveling distances and operational time of vehicles associated to each scenario. Secondly, a ranking of scenarios is produced by ELECTRE III method. Six pseudo criteria such as fuel consumption cost, gas emission, reliability, road length, and compatibility with the national energy policy were taken into account. The results suggest a relatively efficient and environment-friendly scenario where all vehicles start their trips from the depot, collect garbage from the gather sites, and unload waste at a transfer station then travel back to the depot. The methodology can be adopted into similar contexts to improve the effectiveness of MSW collection through the systematic use of GIS.

Nikolaos V Karadimas - One of the best experts on this subject based on the ideXlab platform.

  • municipal waste collection of large items optimized with arcgis Network Analyst
    21st Conference on Modelling and Simulation, 2007
    Co-Authors: Nikolaos V Karadimas, Maria Kolokathi, Gerasimoula Defteraiou, Vassili Loumos
    Abstract:

    In the present paper the ArcGIS Network Analyst Algorithm is introduced for best routing identification applied in municipal waste collection of large items. The proposed application takes into account all the required parameters for the waste collection of large items so as its desktop users to be able to model realistic Network conditions and scenarios. In this case, the simulation consists of scenarios of visiting loading spots in the municipality of Athens, in order to collect large items that couldn’t be collected by the standard waste collection trucks, due to size and other prohibitive obstacles. The Network Analyst is used to estimate interrelations between the dynamic factors, like Network traffic changes (closed roads due to natural or technical causes, for example, fallen trees, car accidents, etc) in the area under study and to produce optimized solutions. The user is able to define or modify all the required dynamic factors for the creation of an initial scenario, and by modifying these particular parameters, alternative scenarios can be generated leading to several solutions. Finally, the optimal solution is identified by a function that takes into consideration various parameters, for example the shortest distance, road Network as well as social and environmental implications.

  • ant colony system vs arcgis Network Analyst the case of municipal solid waste collection
    2007
    Co-Authors: Nikolaos V Karadimas, Maria Kolokathi, Gerasimoula Defteraiou, Vassili Loumos
    Abstract:

    In the present paper, two individual algorithmic solutions, the ArcGIS Network Analyst and the Ant Colony System (ACS) algorithm, are introduced, implemented and discussed for the identification of optimal routes in the case of Municipal Solid Waste (MSW) collection. Both proposed applications are based on a geo-referenced spatial database supported by a Geographic Information System (GIS). The GIS takes into account all the required parameters for the MSW collection (i.e. positions of waste bins, road Network and the related traffic, truck capacities, etc) and its desktop users are able to model realistic Network conditions and scenarios. In this case, the simulation consists of scenarios of visiting varied waste collection spots in the Municipality of Athens (MoA). The user, in both applications, is able to define or modify all the required dynamic factors for the creation of an initial scenario, and by modifying these particular parameters, alternative scenarios can be generated. Finally, the optimal solution is estimated by each routing optimization algorithm, followed by a comparison between these two algorithmic approaches on the newly designed collection routes.