SGA: spatial GIS-based genetic algorithm for route optimization of municipal solid waste collection

2018 ◽  
Vol 25 (27) ◽  
pp. 27569-27582 ◽  
Author(s):  
Louati Amal ◽  
Le Hoang Son ◽  
Habib Chabchoub
Keyword(s):  
Genetic Algorithm ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Route Optimization ◽  
Waste Collection ◽  
Solid Waste Collection

Transportation Route Optimization of Municipal Solid Waste Using Network Analyst tool, Case of Jimma town, Southwestern Ethiopia

2020 ◽  
Author(s):  
Beekan Gurmessa Gudeta ◽  
Fikadu Fufa Feyisa ◽  
Wagari Mosisa Kitesa
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Average Distance ◽  
Route Optimization ◽  
Disposal Site ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Network Analyst ◽  
Jimma Town ◽  
Transportation Route

Abstract Transportation of municipal solid waste to disposal sites takes a large percentage of its overall management costs. The objective of this study is to optimize the transportation route of municipal solid waste using the Network Analyst tool for Jimma town. The input data in the present study were coordinates of individual municipal solid waste collection container location and disposal site location, master plan, and road shapefile. Network Analyst, an extension of ArcGIS was the main software used in the study. The result obtained includes the proposed number and location of MSW container and the best possible route for the evacuation of municipal solid waste from individual container location to the disposal site. The minimum average distance to transport loaded containers from individual collection container locations to the disposal site and empty container to its location that optimized by the network analyst tool was 17.94 km. It is therefore recommended that the urban authority should do route planning for municipal solid waste collection vehicles within the urban area.

Strategic waste management planning – the organization of municipal solid waste collection in Oulu, Finland*

2015 ◽  
Vol 10 (2) ◽  
pp. 145-156 ◽  
Author(s):  
Sari Piippo ◽  
Paula Saavalainen ◽  
Juhani Kaakinen ◽  
Eva Pongrácz
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Management Planning

GIS-Based tools for optimizing municipal solid waste collection and transportation routes

2022 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Zulfa Hanan Ash’aari ◽  
Firuz Muhammad Ramli ◽  
Amir Hamzah Sharaai ◽  
Muhammad Nawaz Chaudhry ◽  
Samra Fatima
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Transportation Routes

scholarly journals The Energy and Carbon Footprint of an Urban Waste Collection Fleet: A Case Study in Central Italy

Recycling ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 25
Author(s):  
Alessio Quintili ◽  
Beatrice Castellani
Keyword(s):  
Energy Consumption ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Co2 Emissions ◽  
Carbon Footprint ◽  
Local Level ◽  
Central Italy ◽  
Waste Collection ◽  
Solid Waste Collection

Municipal solid waste collection and transport are functional activities in waste management, with a significant energy and carbon footprint and a significant effect on the urban environment. An issue related to municipal solid waste collection and transport is their regional and municipal implementation, affected by sorting and recycling strategies at local level. An efficient collection is necessary to optimize the whole recycling process. The present paper shows the results of an energy, environmental, and economic evaluation of a case study, analyzing the fleet used for municipal solid waste collection and transport in 10 municipalities in Central Italy. The current scenario was compared with alternative scenarios on the basis of some parameters for performance evaluation: vehicles’ energy consumption, carbon footprint, routes, and costs. Results show that for passenger cars, the alternative scenario based on an entire fleet of dual compressed natural gas (CNG) vehicles led to a reduction of the CO2 emissions (−2675 kgCO2eq) in the analyzed period (January–August 2019) and a reduction of the energy consumption (−1.96 MJ km−1). An entire fleet of CNG vehicles led to an increase of CO2 emissions: +0.02 kgCO2eqkgwaste−1 (+110%) for compactors (35–75 q) and +0.09 kgCO2eqkgwaste−1 (+377%) for compactors (80–180 q). Moreover, both categories report a higher fuel consumption and specific energy consumption. For waste transport high-capacity vehicles, we propose the installation of a Stop-Start System, which leads to environmental and energy benefits (a saving of 38,332 kgCO2eq and 8.8 × 10−7 MJ km−1kgwaste−1). On three-wheeler vehicles, the installation of the Stop-Start System is completely disadvantageous.

Sign in / Sign up

Export Citation Format

Share Document