Comparative Review of Methods Supporting Decision-Making in Urban Development and Land Management

Wagner, Magdalena; Vries, Walter Timo de

doi:10.3390/land8080123

Cited by 18 publications

(11 citation statements)

References 59 publications

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“…It is just that the fuzzy AHP method sets the AHP scale into the fuzzy triangle scale to be accessed in priority. Three main criteria and 21 sub-criteria were selected to arrive at a decision-making model and hierarchy [29,30]. A questionnaire survey was conducted amongst the technical experts, academicians and industrialists.…”

Section: Application Of F-ahp On Selected Criteria'smentioning

confidence: 99%

Integrated Framework for Inclusive Town Planning Using Fuzzy Analytic Hierarchy Method for a Semi Urban Town

Bhadane

Menon

Jain³

et al. 2022

Civ Eng J

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Planning is a continuous process and must incorporate a regular evaluation of implementation and further revision for effective and efficient utility for the betterment of society through modification of the planning standards. Development plans for cities / towns are criticized for being rigid and static, having little regard for investment planning efforts, and taking a very long time in the process of formulation and approval. In depth analysis and review of the existing situation, covering the demographic, economic, financial, infrastructure, physical, environmental, and institutional aspects, is important so as to identify the strengths and weaknesses in the city overall development. In the present study, an attempt has been made to thoroughly review the existing planning standards adopted for the preparation and implementation of development plans in India, especially in Maharashtra. Since the development plan's objectives are not measurable, this study will use the Fuzzy Analytic Hierarchy Process (AHP) to assess their level of performance. For the purpose of identifying the various viewpoints of various stakeholders, field surveys and questionnaire surveys were conducted. This application can be used as an objective evaluation tool for planners and policy makers to improve planning practices and provide necessary knowledge for revising plans. The results indicated the importance of criteria from the pre-planning, preparation, and implementation stages of DP. These results were used for two semi-urban towns in Maharashtra regions and could also be used by planning engineers for further development of planning standards. Doi: 10.28991/CEJ-2022-08-12-07 Full Text: PDF

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Section: Application Of F-ahp On Selected Criteria'smentioning

confidence: 99%

Integrated Framework for Inclusive Town Planning Using Fuzzy Analytic Hierarchy Method for a Semi Urban Town

Bhadane

Menon

Jain³

et al. 2022

Civ Eng J

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“…The proposed model is structured on the computational logic of goal programming, a branch of OR, that focuses on the application of analytical methods for problem solving and decision-making uncertain conditions [35]. The usefulness of OR in providing a systematic and scientific resolution to government, military, manufacturing, service but also in several business problems is widely recognized in the scientific literature [36].…”

Section: The Modelmentioning

confidence: 99%

Urban Transformation Interventions: A Decision Support Model for a Fair Rent Gap Recapture

Morano

Tajani

Giudice

et al. 2021

Lecture Notes in Computer Science

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material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…In [10] a DSS aiming at protecting natural and cultural heritage has been presented. Moreover, in [11] the authors conduct a comparative review of existing DSS approaches to urban development and land management. Finally, it is worth mentioning that Multi-criteria Decision-Aiding techniques have proven an effective tool for importance assessment and resource prioritization, with several applications such as in the context of ecology [38], infrastructures [43], supply chain [42], [44] or portfolio management [41].…”

Section: Introductionmentioning

confidence: 99%

A Spatial Decision Support System for Prioritizing Repair Interventions on Power Networks

et al. 2023

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The business continuity of services provided by Critical Infrastructures is vital in order to ensure the security, the economy and the public's health of a Nation. Delays and bad recovery strategies after disasters or failures can lead to impairing impacts in terms of injury to people, environmental pollution and loss of time, money and resources. In such a context, the adoption of a spatial Decision Support System (DSS) might play a crucial role in order to help operators to adopt the best recovery strategy in the shortest possible time frame. Current approaches do not consider the problem of assigning an intervention location to a maintenance crew and do not account for the effective time needed for emergency intervention. In this paper we develop a novel spatial multi-criteria DSS methodology for prioritizing repair interventions on power networks. The multi criteria strategy is solved by the adoption of Incomplete Analytic Hierarchy Process (AHP) which computes holistic assignment costs as the result of the combination of multiple and possibly conflicting metrics of cost.Then, we use the holistic costs as the basis for a task assignment phase that is based on the Hungarian algorithm. The proposed strategy has been implemented as a module in the Decision Support System, namely Critical Infrastructure Protection Risk Analysis and Forecast (CIPCast), whose outputs are represented on a web-based Geographic Information System (GIS) platform. The effectiveness of the proposed multi-criteria strategy has been validated via a real case study on the Rome City electrical distribution network.

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Comparative Review of Methods Supporting Decision-Making in Urban Development and Land Management

Cited by 18 publications

References 59 publications

Integrated Framework for Inclusive Town Planning Using Fuzzy Analytic Hierarchy Method for a Semi Urban Town

Integrated Framework for Inclusive Town Planning Using Fuzzy Analytic Hierarchy Method for a Semi Urban Town

Urban Transformation Interventions: A Decision Support Model for a Fair Rent Gap Recapture

A Spatial Decision Support System for Prioritizing Repair Interventions on Power Networks

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