Land Suitability Analysis for Installing New Petrol Filling Stations Using GIS

Khahro, Shabir Hussain; Matori, Abd Nassir; Chandio, Imtiaz Ahmed; Talpur, Mir Aftab Hussain

doi:10.1016/j.proeng.2014.07.024

Cited by 28 publications

(21 citation statements)

References 12 publications

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“…The identification of unsuitable areas for infrastructure installation in developing countries has been considered in other investigations. The study to analyze the best locations for new filling stations in Malaysia, Asia, Khahro indicated that 24% of the planned areas for EVSE installation were in inadequate areas [87]. In the aforementioned study, the adaptations of the areas were carried out based on environmental risk factors and not as inadequate areas due to risks of public security.…”

Section: Discussionmentioning

confidence: 99%

Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil

Costa

Paiva

Seixas

et al. 2018

Journal of Advanced Transportation

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In pursuit of a more sustainable transportation system, electric vehicles (EVs) have the potential to play a fundamental role due to their improved efficiency and lower emissions. The absence of an adequate electric vehicle supply equipment (EVSE) network has been one of the major obstacles for the mass adoption of EV, in large municipalities of developing countries. This is the case in Belo Horizonte (BH), Brazil, which also has a high motorization rate (7 light-duty vehicles per 10 inhabitants). The purpose of this study is to measure and identify the optimal locations for EVSE according to selected criteria to meet the needs of light-duty electric vehicles (LDEV) corresponding to a penetration of 1% by 2025 in the municipality of BH. The study highlights the most important attributes that need to be considered for the installation of an EVSE network in an urban space for a developing country. Multi-Criteria Decision Making (MCDM), the Weighted Linear Combination (WLC) method, and the Analytical Hierarchy Process (AHP) technique based on the inputs from a group of Brazilian electrical mobility specialists, coupled with a Geographic Information System (GIS) modeling tool, were used for this study. The results revealed that around 1,200 EVSE units are needed, with a large concentration of EVSE in a small region. We also illustrate where stakeholders should focus their attention for the successful promotion of EV. The development methodology has the potential to be applied in other future EVSE development projects.

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Section: Discussionmentioning

confidence: 99%

Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil

Costa

Paiva

Seixas

et al. 2018

Journal of Advanced Transportation

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“…Analytical hierarchy Fig. 1 Location map of the study area NATMO and GSI 2015 process is one of the auspicious method utilized for agricultural land suitability assessment based on individual parameters through quantitative assessment (Chen et al 2010a, b;Akinci et al 2013;Khahro et al 2014). Pairwise comparison is also used to calculate the overall score of individual elements or criteria.…”

Section: Introductionmentioning

confidence: 99%

“…Pairwise comparison is also used to calculate the overall score of individual elements or criteria. Integration of GIS and analytical hierarchy process helps to decision support system by the generation of suitability maps (Khahro et al 2014). However, land use suitability and its mapping are one of the most effective utilizations of the geospatial techniques (Javadian et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques

Pramanik

2016

Model. Earth Syst. Environ.

171

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Darjeeling district covered with 60.89 % of its land under Himalayan dense forest producing exquisite biodiversity and variations in climate with a diversified fauna and flora. Therefore, designs great scope for agricultural development in the rural area of the Himalayan foothills to boost rural economies. However, agriculture not mostly developed in this district due to different physical threats (such as very high slope and elevation, dense vegetation cover, fewer irrigation facilities, dry soil, etc.), socio-economic problems and lack of adequate transportation. Land suitability analysis can help to establish the strategies for the development of agricultural productivity. AHP with the integration of GIS-based multicriterion decision making an approach using DEM and Landsat 8 satellite data was utilized to evaluate land suitability for agriculture production in hilly areas. Various 'expert opinions' was used to determine the results of selected parameters whereas pairwise comparison matrix used to established the weights. About, 5.31 % area is classified in the class highly suitable, 29.82 % in moderately suitable, 24.27 % in marginally suitable, and 40.60 % in unsuitable for agriculture. The techniques, methodology and results of the study can be effective to assess the suitable land for agriculture in hilly regions.

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“…It creates the variograms and covariance functions to estimate the statistical dependence for an unmeasured location and predicts the unknown values (ESRI, ). The ordinary kriging interpolation technique uses a semivariogram to explain the locational differentiation (Khahro, Matori, Chandio, & Talpur, ). The semivariogram shows the spatial autocorrelation of the measured sample points.…”

Section: Methodsmentioning

confidence: 99%

Assessment of irrigation water quality by a Geographic Information System–Multicriteria Decision Analysis‐based model: A case study from Ankara, Turkey

Kavurmaci

Apaydın

2019

Water Environment Research

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In this study, the irrigation water quality of Eryaman region in Ankara (Turkey) has been investigated using a Geographic Information System-Multicriteria Decision Analysis (GIS-MCDA)-based model. Two different irrigation water quality indices (IWQI-A and IWQI-B) based on Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA) have been developed to provide a single suitability score for all criteria of irrigation water quality. The irrigation water quality indices were composed of 3 main criteria and 11 sub-criteria. Based on irrigation water quality indices, four suitability classes have been identified as (a) excellent, (b) good, (c) permissible, and (d) unsuitable. Irrigation water quality maps were created by using kriging method and the water quality index scores. The temporal variation of irrigation water quality was evaluated using the models created for July 2007, 2010, and 2015 years. The most suitable areas for irrigation water are concentrated in the eastern and western parts of the region where the IWQI-B scores were >0.85. In recent years, the deterioration in irrigation water quality has increased in the southern parts of the basin. This research has demonstrated that the indices created by using DEA and AHP methods are reliable indicators to assess irrigation water quality. • Practitioner points• Water quality indices can be used to depict the overall water quality status in water management planning. • To avoid problems when modeling groundwater quality, the factors that have the most effect on water quality should be selected. • Analytic Hierarchy Process and Data Envelopment Analysis techniques are efficient and reliable methods to determine water quality.

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Land Suitability Analysis for Installing New Petrol Filling Stations Using GIS

Cited by 28 publications

References 12 publications

Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil

Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil

Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques

Assessment of irrigation water quality by a Geographic Information System–Multicriteria Decision Analysis‐based model: A case study from Ankara, Turkey

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