scholarly journals Modeling and optimizing transmission lines with GIS and Multi-Criteria Decision Analysis

2017 ◽  
Vol 59 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Joram Schito
Keyword(s):  
Decision Analysis ◽  
Transmission Lines ◽  
Least Cost Path ◽  
Ongoing Research ◽  
Stable Algorithm ◽  
Multi Criteria Decision Analysis ◽  
Transmission Towers ◽  
Cost Surface ◽  
First Results ◽  
Simple Additive Weighting

AbstractIn planning transmission lines with the use of Geographic Information Systems, the use of the Least Cost Path (LCP) algorithm has been established while relevant criteria are modeled using Multi-Criteria Decision Analysis (MCDA). Despite their established use, this combination (MCDA/LCP) often leads to results that do not correspond to realistic conditions. Therefore, the MCDA/LCP computation must usually be optimized on an algorithmic level as well as on the decision model and the underlying data relevant for the MCDA. The current paper presents the state-of-the-art of an ongoing research project that aims to solve these issues. First results are promising since a stable algorithm has been developed that computes a cost surface, a Least Cost Corridor (LCC), a LCP, and the transmission towers' positions by simple additive weighting based on user's weights. Optimizations on the MCDA models have already been implemented and tested. The findings are integrated into a 3D Decision Support System which aims at facilitating the work of TL planners by realistic modeling and by reducing the approval process for new TL.

scholarly journals Exploring urban accessibility scores using multi-criteria decision analysis techniques

2021 ◽  
Author(s):  
Anna Racovali
Keyword(s):  
Decision Analysis ◽  
Weighted Averaging ◽  
Alternative Methods ◽  
Analysis Techniques ◽  
Multi Criteria Decision Analysis ◽  
Ordered Weighted Averaging ◽  
Significant Difference ◽  
Walk Score ◽  
Urban Accessibility ◽  
Simple Additive Weighting

This paper explores alternative methods in which an urban walkability score may be determined. Walk Score is a popular urban accessibility index which determines the walkability of a neighbourhood or specific address by measuring the proximity of the location to nearby services and amenities. Traditional walkability scores, such as Walk Score, are limited because of their inability to vary the importance of being in proximity to certain services and amenities. Multi-criteria decision analysis (MCDA) techniques, specifically simple additive weighting (SAW) and ordered weighted averaging (OWA), provide a geographic approach to determining the walkability of an area and allow users to determine the weights of importance of all services and amenities. MCDA-based walkability scores were calculated and compared to one another and to Walk Score. Both SAW and OWA methods created similar walkability indexes for dissemination areas throughout Toronto. However, the MCDA results could not be directly compared to Walk Score, as there was a significant difference between the value ranges of the scores. Thus, the 140 Toronto neighbourhoods were ranked from most to least walkable for the MCDA-based methods and Walk Score, based upon each method’s respective scores. Upon comparison, it was evident that both Walk Score’s methodology and the MCDA-based methodologies resulted in similar outcomes of walkability rankings for Toronto neighbourhoods

MODEL SPASIAL LEAST COST PATH ANALYSIS (LCPA) DAN MULTI CRITERIA DECISION ANALYSIS (MCDA) DALAM PERENCANAAN KONEKTIVITAS JALAN TOL SUKABUMI-CIANJUR-PADALARANG

2019 ◽  
Vol 3 ◽  
pp. 575
Author(s):  
Muhamad Iqbal Januadi Putra ◽  
Tri Widodo
Keyword(s):  
Decision Analysis ◽  
Path Analysis ◽  
Least Cost Path ◽  
Multi Criteria Decision Analysis ◽  
Least Cost Path Analysis

Konektivitas merupakan salah satu komponen penting dalam pembangunan wilayah yang mampu mengatasi kesenjangan pembangunan antar wilayah. Perencanaan konektivitas, seperti pembangunan jalan tol, sangat perlu memperhitungkan aspek lingkungan dan ekonomi terutama di wilayah yang memiliki karakteristik lereng variatif layaknya di wilayah Sukabumi-Cianjur-Bandung. Maka dari itu, diperlukan analisis dan pemodelan yang mampu menunjukkan pilihan rute jalan yang efektif di tengah kondisi lingkungan dan ekonomi di wilayah yang bersangkutan. Least cost path Analysis (LCPA) dan Multi Criteria Decision Analysis (MCDA) digunakan untuk menentukan rute optimal jaringan jalan secara efektif dan efisien. Metode ini sangat mungkin diaplikasikan untuk perencanaan infrastruktur liniear. Pemodelan ini menggunakan berbagai kriteria untuk menemukan rute paling optimal dari satu titik ke titik lainnya. Parameter yang digunakan sebagai kriteria dalam model meliputi topografi, geologi, tutupan lahan, dan wilayah multibahaya dengan tiga model simulasi MDCA dan LCPA. Berdasarkan pemodelan, ditemukan rute jalan tol optimal dari Sukabumi-Cianjur-Padalarang sepanjang 44,2 km untuk model LCPA 1, 43,88 km untuk model LCPA 2, dan 43,99 km untuk model LCPA 3. Rute jalan optimal berdasarkan model ini terbentang dari Kecamatan Sukaraja Kabupaten Sukabumi-Kecamatan Sukaluyu Kabupaten Cianjur.

scholarly journals Exploring urban accessibility scores using multi-criteria decision analysis techniques

2021 ◽  
Author(s):  
Anna Racovali
Keyword(s):  
Decision Analysis ◽  
Weighted Averaging ◽  
Alternative Methods ◽  
Analysis Techniques ◽  
Multi Criteria Decision Analysis ◽  
Ordered Weighted Averaging ◽  
Significant Difference ◽  
Walk Score ◽  
Urban Accessibility ◽  
Simple Additive Weighting

This paper explores alternative methods in which an urban walkability score may be determined. Walk Score is a popular urban accessibility index which determines the walkability of a neighbourhood or specific address by measuring the proximity of the location to nearby services and amenities. Traditional walkability scores, such as Walk Score, are limited because of their inability to vary the importance of being in proximity to certain services and amenities. Multi-criteria decision analysis (MCDA) techniques, specifically simple additive weighting (SAW) and ordered weighted averaging (OWA), provide a geographic approach to determining the walkability of an area and allow users to determine the weights of importance of all services and amenities. MCDA-based walkability scores were calculated and compared to one another and to Walk Score. Both SAW and OWA methods created similar walkability indexes for dissemination areas throughout Toronto. However, the MCDA results could not be directly compared to Walk Score, as there was a significant difference between the value ranges of the scores. Thus, the 140 Toronto neighbourhoods were ranked from most to least walkable for the MCDA-based methods and Walk Score, based upon each method’s respective scores. Upon comparison, it was evident that both Walk Score’s methodology and the MCDA-based methodologies resulted in similar outcomes of walkability rankings for Toronto neighbourhoods

scholarly journals Multi-Criteria Framework for Selection of City-Wide Sanitation Solutions in Coastal Towns in Northern Angola

2021 ◽  
Vol 13 (10) ◽  
pp. 5627
Author(s):  
Rita Ventura Matos ◽  
Filipa Ferreira ◽  
Liliana Alves ◽  
Elsa Ramos ◽  
Lucrécio Costa ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Analysis Tool ◽  
Planning Stage ◽  
Multi Criteria Decision Analysis ◽  
Sanitation Services ◽  
Decision Aiding ◽  
Coastal Cities ◽  
Sub Saharan ◽  
Multi Stakeholder ◽  
Treatment Alternatives

In this paper, an expedited multi-criteria decision analysis framework, capable of tackling several dimensions for the choice of sanitation services, at an early planning stage is presented. The approach combines geographic information systems aided analysis for onsite solutions, with a multi-criteria decision analysis tool capable of suggesting and ranking several viable offsite treatment alternatives, according to the desired criteria. The framework was applied to four coastal cities in Northern Angola, one of the sub-Saharan countries of the west coast of Africa, thus obtaining an indication for city-wide solutions, as an aid to achieve the goal of ensuring full sanitation coverage in those four locations. It included possible onsite collection and storage interfaces, namely Ventilated Improved Pit latrines, fossa alterna, septic tanks or conventional sewer systems. The study also contributed to an informed decision regarding optimal offsite treatment facility type, namely based on dedicated or combined wastewater and faecal sludge treatment (co-treatment), as well as different options for locations and sanitation technologies. Alternatives were compared and ranked according to ten main criteria concerning social, economic, technological and environmental aspects. This work helped demonstrate the usefulness of decision-aiding tools in the multi-stakeholder and complex context of sanitation in a developing country.

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