Mapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin

Quinn, Bernadette M.; Schiel, Kerry; Caruso, Geoffrey

doi:10.1080/17445647.2014.978907

Cited by 13 publications

(9 citation statements)

References 6 publications

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“…This should particularly apply to land use management and planning, which has been widely discussed in [2]. The authors of [3] have discussed the problem of uncertainty mapping using Monte Carlo analysis plugged into the Analytic Hierarchy Process (AHP) method, using the case of Howth, Dublin, in this context. However, this approach primarily focused on allowing decision-makers to gain insight into how much expert opinions can be trusted, specifically focusing on the AHP method, which can be considered a limitation.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Optimisation of an Experimental Complex of Single-Family Nearly Zero-Energy Buildings

Fedorczak-Cisak

Kotowicz²,

Radziszewska–Zielina

et al. 2020

Energies

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The Directive 2010/31/EU on the energy performance of buildings has introduced the standard of “nearly zero-energy buildings” (NZEBs). European requirements place the obligation to reduce energy consumption on all European Union Member States, particularly in sectors with significant energy consumption indicators. Construction is one such sector, as it is responsible for around 40% of overall energy consumption. Apart from a building’s mass and its material and installation solutions, its energy consumption is also affected by its placement relative to other buildings. A proper urban layout can also lead to a reduction in project development and occupancy costs. The goal of this article is to present a method of optimising single-family house complexes that takes elements such as direct construction costs, construction site organisation, urban layout and occupancy costs into consideration in the context of sustainability. Its authors have analysed different proposals of the placement of 40 NZEBs relative to each other and have carried out a multi-criteria analysis of the complex, determining optimal solutions that are compliant with the precepts of sustainability. The results indicated that the layout composed of semi-detached houses scored the highest among the proposed layouts under the parameter weights set by the developer. This layout also scored the highest when parameter weights were uniformly distributed during a test simulation.

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Section: Introductionmentioning

confidence: 99%

Multi-Criteria Optimisation of an Experimental Complex of Single-Family Nearly Zero-Energy Buildings

Fedorczak-Cisak

Kotowicz²,

Radziszewska–Zielina

et al. 2020

Energies

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“…In view of the complexity and uncertainty of an urban environment, how to identify the suitable evaluation index weight is a critical step for the UGS suitability evaluation. A number of recent papers have discussed the limitations of the AHP method in dealing with the complexity and uncertainty of the evaluation indicators and proposed a fuzzy comprehensive evaluation method to process uncertain and inaccurate problems [28][29][30][31]. However, the fuzzy comprehensive evaluation method has also been criticized for its inefficiency in decision-making [32].…”

Section: Introductionmentioning

confidence: 99%

Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China

Fan

Shen

2018

Sustainability

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Urban green space (UGS) provides critical ecosystem services and alleviates environmental problems caused by rapid urbanization. The Analytic Hierarchy Process (AHP) method is recognized as a traditional technique to identify the weight of the UGS suitability evaluation. We reveal the limitations of the AHP method for its subjectivity and uncertainty. Then, we introduce the AHP and coefficient of variation (AHP-CV) combined weight method to better evaluate the suitability of UGS. Based on the principle of minimum information entropy, the AHP-CV combined weight method takes advantage of both the AHP and CV methods, thus keeping a good balance between subjectivity and objectivity. We used the green space system planning of Fuping County in China as a case study. A new evaluation index system was established using 4 aspects. Our results show that high-suitability areas are mainly distributed around the northern mountainous regions, 2 important rivers and the outer areas of the central city. By comparing the UGS suitability evaluation results obtained by the AHP, CV, and AHP-CV combined weight methods, we found that the AHP-CV method was optimal. Therefore, the AHP-CV combined weight method will not only enrich spatial Multi-Criteria Decision-Making techniques but also have a wide application in the related fields of land-use planning.

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“…Most of the published works (e.g. Yang et al, 2008;or Quinn, Schiel, & Caruso, 2014) address this multi-criteria analysis through an analytic hierarchy process (AHP). Many papers focus on improvements in the AHP method (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…An additional benefit of this paper is the visualization aspect; only a limited number of published papers have focused on the visualization of land suitability (e.g. Quinn et al, 2014;Rellini, Pavarino, Scopesi, & Zotti, 2011;Stanchi et al, 2013). Well-designed maps can provide a more detailed and accurate background for decision making.…”

Section: Introductionmentioning

confidence: 99%

Land suitability assessment of the Olomouc region: an application of an Urban Planner model

2018

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This paper and accompanying maps focus on a land suitability assessment of the Olomouc region in the Czech Republic. All results were calculated in Urban Planner, a model designed by the authors of this paper. The method of calculation is based on a multi-criteria analysis (weighted overlay method), respects the principles of sustainable development, and allows for execution of several scenarios. The main result of this work is a set of maps. The first map sheet shows the land suitability for housing, recreation, public services, heavy industry, light industry, and transportation. The second map sheet consists of four maps showing different scenarios of land suitability for housing: one map showing the evaluation of existing proposals for housing from urban plans, and one map showing optimal areas for housing calculated by the Urban Planner model. The maps can be used as a significant source of information about the suitability of development in the Olomouc region in geographic or urban studies, both for experts and the general public. All thematic maps are on the scale of 1:125,000; supplementary maps are smaller.

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Mapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin

Cited by 13 publications

References 6 publications

Multi-Criteria Optimisation of an Experimental Complex of Single-Family Nearly Zero-Energy Buildings

Multi-Criteria Optimisation of an Experimental Complex of Single-Family Nearly Zero-Energy Buildings

Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China

Land suitability assessment of the Olomouc region: an application of an Urban Planner model

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