A novel multicriteria methodology for evaluating urban development proposals

Nikoloudis, C.; Aravossis, Konstantinos; Strantzali, Eleni; Chrysanthopoulos, Nikolaos

doi:10.1016/j.jclepro.2020.120796

Cited by 12 publications

(4 citation statements)

References 20 publications

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“…Selecting parameters to reduce model error and improve prediction accuracy when evaluating products should be investigated in more detail. (3) Evaluating existing products is an important step in new product development; thus, in future research, other methods such as ELECTRE III or DEMATEL (Decision-Making Trial and Evaluation Laboratory) could bring valuable solutions [ 40 , 41 ].…”

Section: Discussionmentioning

confidence: 99%

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Luo

Zhao

Chen

2022

Computational Intelligence and Neuroscience

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Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.

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Section: Discussionmentioning

confidence: 99%

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Luo

Zhao

Chen

2022

Computational Intelligence and Neuroscience

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“…Spatial multicriteria evaluation (MCE) methods have been applied to address a wide variety of spatial decision‐making problems using geospatial data and geographic information systems (GIS) (Malczewski & Jankowski, 2020). In an urban context, MCE methods have been used extensively for site selection or the determination of suitable areas for developing a particular facility or space such as new urban parks and greenspaces (Gelan, 2021); health care facilities (Caprioli & Bottero, 2021); rail lines (Saat & Aguilar Serrano, 2015); and for urban planning (Nikoloudis et al, 2020; Vukicevic & Nedovic‐Budic, 2012). GIS‐based MCE has also been used to support risk management and emergency planning through the analysis and identification of urban areas prone to flooding (Kandilioti & Makropoulos, 2012), landslides (Dragićević et al, 2015), earthquakes (Skilodimou et al, 2019), and the disparate impact of such natural hazards on socioeconomic populations of varying vulnerability (Fernandez et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Towards a spatio‐temporal multicriteria evaluation method: A suitability analysis of residential units in a 3D urban environment

Munn,

Dragićević

2023

Transactions in GIS

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Spatial multi‐criteria evaluation (MCE) techniques aid urban planning management by analyzing decision problem alternatives for solutions to help inform decision‐making. However, there is a lack of such methods that incorporate the temporal dimension, an important factor when analyzing the dynamic urban landscape and decisions surrounding its changes. A novel spatio‐temporal MCE approach is proposed that operates in three‐dimensional (3D) space and time to identify changing suitability values of decision alternatives. This space–time method is implemented to evaluate the suitability of residential units over a 15‐year period in part of downtown City of Vancouver, Canada. The results indicate that the majority of units exhibit a decrease in suitability with time due to depreciation and reduction of assets like view and privacy from the construction of new buildings. The proposed method can be used by urban planners and developers to assist in long‐term assessments of proposed development scenarios and their impact on existing urban infrastructure.

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“…Kaya and Erginel [16] applied the fuzzy SWARA (Stepwise Weight Assessment Ratio Analysis) multicriteria method for the sustainable development of Esenboga airport in Turkey. Nikoloudis et al [17] applied a blend of three types of multicriteria approaches, the additive value function, Promethee II, and Electre III to compare five different investment proposals for the sustainable development of Athens' Hellinikon airport area. Broniewicz and Ogrodnik [18] evaluated MCDA methods applied in the field of sustainable transport.…”

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confidence: 99%

Multicriteria Decision Aiding for Planning Renewable Power Production at Moroccan Airports

2022

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This study is about multicriteria decision aiding (MCDA) for the green airports program of the Moroccan Airport Authority ONDA. The goal of the program is to develop significant amounts of renewable power at airports. In particular, ONDA wants to select airports at which large solar and wind power parks should be built. Multiple criteria, including economy, technical feasibility, and environmental concerns, must be considered simultaneously. In this study, we apply Stochastic Multicriteria Acceptability Analysis (SMAA) for ranking the candidates to be developed into green airports. The analysis is conducted in phases with different sets of criteria. This study is the first application of MCDA for developing large-scale renewable energy production at airports. As a theoretical novelty, the pairwise winning indices of SMAA are used to form stochastic partial and complete rankings of the alternatives. Based on the results, two alternatives obtain the best and second-best rank in every model, and one alternative is always last, while the ranks of the remaining alternatives vary depending on the set of criteria.

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A novel multicriteria methodology for evaluating urban development proposals

Cited by 12 publications

References 20 publications

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network

Towards a spatio‐temporal multicriteria evaluation method: A suitability analysis of residential units in a 3D urban environment

Multicriteria Decision Aiding for Planning Renewable Power Production at Moroccan Airports

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