Municipal Waste Collection Of Large Items Optimized With ArcGis Network Analyst

We first report three empirical findings from our survey on the contracting-out of municipal waste collection services in Japan: (1) the rate of contracting-out and the contract price are inversely related, (2) this inverse relationship tapers out as the contracting rate becomes sufficiently high, and the contract price even tends to go up as the contracting rate approaches 100% and (3) there is a significant disparity in the contracting rates between the eastern and western parts of Japan. In order to account for these observations, we then set up a simple analytical model and examine its implications. Also, we discuss the issues that a potential hold-up situation could give rise to when the services are completely contracted out to private firms.

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Optimization of Waste Transportation System in Tembalang District, Semarang City

Jurnal Presipitasi Media Komunikasi dan Pengembangan Teknik Lingkungan ◽

10.14710/presipitasi.v17i2.128-137 ◽

2020 ◽

Vol 17 (2) ◽

pp. 128-137

Author(s):

Ajeng Lakshita Pramesti ◽

Sri Sumiyati ◽

Bimastyaji Surya Ramadan ◽

Budi Prasetyo Samadikun ◽

Sudarno Sudarno

Keyword(s):

Transportation System ◽

Operating Costs ◽

Waste Generation ◽

Waste Collection ◽

Work Time ◽

Transportation Services ◽

Network Analyst ◽

Optimal Average ◽

Transportation Routes ◽

Collection Point

Tembalang District has 206,271 residents, with 156,8 m3 amount of waste generated. Tembalang Sub-District has 18 waste collection point, 23 containers, and 7 transport vehicles to handle solid waste from the waste collection point to Jatibarang Landfill. The percentage of waste transportation services in Tembalang was 27%. There is some waste collection point that has not been able to accommodate waste generation from the Tembalang District residents. Road conditions, road types, and vehicle speeds of the waste transport route affect transporting waste and the remaining work time and the operational costs incurred. This research aims to plan a waste transportation system in Tembalang District by optimizing the work time and cost under the target desired by the relevant department. The average remaining work time is 2.28 hours, with a total of 21 trips/ day. Transportation routes are optimized using Network Analyst on GIS-based applications. Road conditions affect service time with an optimal average speed of 37.607 km h, which causes the addition of the number of trips after optimization increased to 34 trips/day with 31 containers. The average remaining work time is 1 hour. This optimization led to an increase in service percentage to 42%. Vehicle operating costs is increasing each year for about Rp. 694,262,870.53/year with a decrease in the price of fees of Rp. 1,983.59/householder/year due to the rise in service percentage.

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Waste collection in rural communities: challenges under EU regulations. A Case study of Neamt County, Romania

10.31235/osf.io/ys6n5 ◽

2017 ◽

Author(s):

Florin Constantin MIHAI

Keyword(s):

Rural Communities ◽

Waste Management ◽

Rural Areas ◽

Regional Scale ◽

Municipal Waste ◽

Waste Collection ◽

Management Options ◽

Municipal Waste Management ◽

Administrative Unit ◽

Open Dumping

The paper aims to examine the changes in the rural waste management sector at regional scale since the Romania adhesion to the EU in 2007. Traditional waste management based on the mixed waste collection and waste disposal often on improper sites prevailed in municipal waste management options of transitional economies across the globe. The lack of formal waste collection services in rural areas has encouraged the open dumping or backyard burning. The paper analyses the improvements and challenges of local authorities in order to fulfill the new EU requirements in this sector supported by data analysis at local administrative unit levels and field observations. Geographical analysis is compulsory in order to reveal the local disparities. The paper performs an assessment of waste collection issues across 78 rural municipalities within Neamt County. This sector is emerging in rural areas of Eastern Europe, but is far from an efficient municipal waste management system based on the waste hierarchy concept.

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Development of Solar-Powered of Sensors Based Smart Waste Monitoring System

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i5.1056 ◽

2021 ◽

Vol 12 (5) ◽

pp. 580-586

Author(s):

Polaiah Bojja, Pamula Raja Kumari, A.Nagavardhan N.Dinesh, M.Gopla D Anirudh

Keyword(s):

Waste Management ◽

Monitoring System ◽

Smart City ◽

Waste Treatment ◽

Smart Cities ◽

Municipal Waste ◽

Waste Collection ◽

Solar Powered ◽

Analyze Data

Dustbins (or Garbage Bins, Trash Cans, whatever you name them) are small containers of plastic or metal used on a temporary basis to store trash (or waste). They are also used for the collection of waste in houses, workplaces, highways, parks, etc. Littering is a major crime in some countries, and public waste bins are also the only way to dispose of small waste. Usually, using different bins for handling wet or dry, recyclable or non-recyclable waste is a common practice. From an ETS perspective, smart waste collection can help municipalities and private waste management companies avoid the need for collection sites, waste disposal facilities and waste treatment plants. As communities increasingly rely on smart city technology to improve, among other things, the quality of life of their residents and the environment, city leaders recognize that smart waste management can also help them achieve sustainability goals such as zero waste and improve services to residents, while improving service to residents. As an example, Development of Some solar-powered bins and recycling bins are already equipped with sensors that analyze data on what is disposed of or recycled and notify collectors when the bin is too full and needs to be picked up. These developed Smart waste management solutions use sensors placed in waste bins to measure levels, notify municipal waste collection services, when the bins are ready to be emptied, and also notify municipal waste collection with a ton has been emptied. Therefore, the solar-powered of sensors based smart waste monitoring system is more and more useful to the current smart cities policies under the smart city project works.

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Optimization of Household Waste Collection Routes Using GIS: Case Study El Bousten district, commune of Sfax, Tunisia

Current World Environment ◽

10.12944/cwe.12.1.07 ◽

2017 ◽

Vol 12 (1) ◽

pp. 53-60 ◽

Cited By ~ 1

Author(s):

Rim Sallem ◽

Mohamed Rouis

Keyword(s):

Information System ◽

Geographical Information System ◽

Optimization Procedure ◽

Geographical Information ◽

Household Waste ◽

Environmental Costs ◽

Waste Collection ◽

Collection System ◽

Network Analyst

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.

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Solving the Periodic Edge Routing Problem in the Municipal Waste Collection

Asia Pacific Journal of Operational Research ◽

10.1142/s0217595917400152 ◽

2017 ◽

Vol 34 (03) ◽

pp. 1740015 ◽

Cited By ~ 1

Author(s):

Chefi Triki

Keyword(s):

Planning Horizon ◽

Heuristic Approach ◽

Municipal Waste ◽

Computational Experiments ◽

Real Case ◽

Waste Collection ◽

Routing Problem ◽

Italian City ◽

Case Application ◽

Working Day

In many municipal waste collection systems, it is necessary to extend the planning horizon to more than one working day. This can happen, for example, in the collection of some recyclable articles. In this case, some of the streets must be served every day but others need only once every two days service. In this paper, we focus on planning the routing of the collection vehicles while extending the planning horizon to two working days. We propose a simple, but effective, heuristic approach and we carry out extensive computational experiments to evaluate its performance. We also apply our method to solve a real-case application related to the collection of recyclable wastes in a small Italian city.

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Municipal Waste Management in Towns of Switzerland: a Foreign Ecologist’s View

E3S Web of Conferences ◽

10.1051/e3sconf/202016902010 ◽

2020 ◽

Vol 169 ◽

pp. 02010

Author(s):

Roman Mamadzhanov ◽

Yulia Zakirova ◽

Mykhadi Umarov

Keyword(s):

Waste Management ◽

Environmental Assessment ◽

Waste Recycling ◽

Municipal Waste ◽

Waste Collection ◽

Recycling System ◽

Municipal Waste Management ◽

The Impact

The article presents the results of the research carried out by the foreign ecologists, particularly the study of the system of municipal waste management in the municipality of Maienfeld, Switzerland. The total amount of municipal waste has been calculated. The systems of municipal waste collection, sorting, transportation and recycling have been studied. Besides, four possible scenarios of waste recycling in Maienfeld have been developed. Moreover, the environmental assessment of the waste recycling system by GHG/SLCP emissions has been conducted, and the impact of recycling on the climate has been determined. Finally, taking into account the results of the research, the best scenario of recycling has been proposed.

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Modeling the Municipal Waste Collection Using Genetic Algorithms

Processes ◽

10.3390/pr8050513 ◽

2020 ◽

Vol 8 (5) ◽

pp. 513

Author(s):

Elisabete Alberdi ◽

Leire Urrutia ◽

Aitor Goti ◽

Aitor Oyarbide-Zubillaga

Keyword(s):

Genetic Algorithm ◽

Variable Neighborhood Search ◽

Real Data ◽

Municipal Waste ◽

Neighborhood Search ◽

Initial Population ◽

Waste Collection ◽

Reduction Of Emissions ◽

Apparent Reasons ◽

Unsolved Issue

Calculating adequate vehicle routes for collecting municipal waste is still an unsolved issue, even though many solutions for this process can be found in the literature. A gap still exists between academics and practitioners in the field. One of the apparent reasons why this rift exists is that academic tools often are not easy to handle and maintain by actual users. In this work, the problem of municipal waste collection is modeled using a simple but efficient and especially easy to maintain solution. Real data have been used, and it has been solved using a Genetic Algorithm (GA). Computations have been done in two different ways: using a complete random initial population, and including a seed in this initial population. In order to guarantee that the solution is efficient, the performance of the genetic algorithm has been compared with another well-performing algorithm, the Variable Neighborhood Search (VNS). Three problems of different sizes have been solved and, in all cases, a significant improvement has been obtained. A total reduction of 40% of itineraries is attained with the subsequent reduction of emissions and costs.

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