scholarly journals Geovisualisierung zur räumlichen Entscheidungsunterstützung

2021 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Case Studies ◽  
Health Planning ◽  
Life Assessment ◽  
Spatial Decision Support ◽  
Geographic Visualization ◽  
Urban Quality Of Life ◽  
Multi Criteria Evaluation ◽  
Data Points ◽  
Combination Of Methods ◽  
Interactive Manipulation

This paper presents a combination of methods for spatial multi-criteria evaluation with principles of geographic visualization. Decision-makers are enabled to test multi-criteria decision strategies through the interactive manipulation of map symbols, linked displays, and transient selection and highlighting of data points. The results of different scenarios can then be compared and calibrated with the user’s knowledge. The paper introduces two case studies for geographic visualization in spatial decision support for public health planning and urban quality of life assessment. The case studies illustrate how map-centred interactive exploration of criteria hierarchies and importance weights affords a deeper insight into decision problems than traditional methods.

scholarly journals Geovisualisierung zur räumlichen Entscheidungsunterstützung

2021 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Case Studies ◽  
Health Planning ◽  
Life Assessment ◽  
Spatial Decision Support ◽  
Geographic Visualization ◽  
Urban Quality Of Life ◽  
Multi Criteria Evaluation ◽  
Data Points ◽  
Combination Of Methods ◽  
Interactive Manipulation

This paper presents a combination of methods for spatial multi-criteria evaluation with principles of geographic visualization. Decision-makers are enabled to test multi-criteria decision strategies through the interactive manipulation of map symbols, linked displays, and transient selection and highlighting of data points. The results of different scenarios can then be compared and calibrated with the user’s knowledge. The paper introduces two case studies for geographic visualization in spatial decision support for public health planning and urban quality of life assessment. The case studies illustrate how map-centred interactive exploration of criteria hierarchies and importance weights affords a deeper insight into decision problems than traditional methods.

scholarly journals A Geographic Visualization Approach to Multi-Criteria Evaluation of Urban Quality of Life

2021 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Analytic Hierarchy ◽  
Geographic Visualization ◽  
Urban Quality Of Life ◽  
Multi Criteria Evaluation ◽  
Spatial Decision Making ◽  
Urban Quality ◽  
Analytical Tools

This paper proposes to use principles of geographic visualization in conjunction with multi‐criteria evaluation methods to support expert‐level spatial decision‐making. Interactive maps can be combined with analytical tools to explore various settings of multi‐criteria evaluation parameters that define different decision‐making strategies. In a case study, the analytic hierarchy process (AHP) is used to calculate composite measures of urban quality of life (QoL) for neighbourhoods in Toronto. The AHP allows for an interactive exploration of decision‐making strategies, while offering a view on spatial patterns in the evaluation results. In particular, an interactive blending between a classical and a contemporary QoL model is supported. This feature is used in a pilot study to assess the usefulness of geographic visualization in urban QoL evaluation. Three user interviews provide positive feedback on the utility and usability of the tool that was operated by the investigator.

scholarly journals A Geographic Visualization Approach to Multi-Criteria Evaluation of Urban Quality of Life

2021 ◽  
Author(s):  
Claus Rinner
Keyword(s):  
Quality Of Life ◽  
Decision Making ◽  
Analytic Hierarchy ◽  
Geographic Visualization ◽  
Urban Quality Of Life ◽  
Multi Criteria Evaluation ◽  
Spatial Decision Making ◽  
Urban Quality ◽  
Analytical Tools

This paper proposes to use principles of geographic visualization in conjunction with multi‐criteria evaluation methods to support expert‐level spatial decision‐making. Interactive maps can be combined with analytical tools to explore various settings of multi‐criteria evaluation parameters that define different decision‐making strategies. In a case study, the analytic hierarchy process (AHP) is used to calculate composite measures of urban quality of life (QoL) for neighbourhoods in Toronto. The AHP allows for an interactive exploration of decision‐making strategies, while offering a view on spatial patterns in the evaluation results. In particular, an interactive blending between a classical and a contemporary QoL model is supported. This feature is used in a pilot study to assess the usefulness of geographic visualization in urban QoL evaluation. Three user interviews provide positive feedback on the utility and usability of the tool that was operated by the investigator.

scholarly journals A SPATIAL DECISION SUPPORT SYSTEM FOR ECOTOURISM DEVELOPMENT IN CASPIAN HYRCANIAN MIXED FORESTS ECOREGION

2015 ◽  
Vol 21 (2) ◽  
pp. 340-353 ◽  
Author(s):  
ALI BALI ◽  
SEYED MASOUD MONAVARI ◽  
BORHAN RIAZI ◽  
NEMATOLLAH KHORASANI ◽  
MIR MASOUD KHEIRKHAH ZARKESH
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Spatial Decision Support System ◽  
Residential Areas ◽  
Spatial Decision Support ◽  
Northern Iran ◽  
Mixed Forests ◽  
Multi Criteria Evaluation ◽  
Hierarchy Process

Ecotourism, as a form of sustainable nature-based tourism, promotes conservation of ecological and scenic values. In this study, a Spatial Decision Support System, SDSS, was developed based upon Multi Criteria Evaluation, MCE, for ecotourism development in the Caspian Hyrcanian Mixed Forests ecoregion, northern Iran. For this, important criteria and constraints for ecotourism development were shortlisted using the Delphi Method. The criteria were weighted using Analytical Hierarchy Process, AHP. The obtained results indicated that "distance from water resources", "land use", "slope", "soil", "climate", "distance from roads", "land cover density", "erosion", and "distance from residential areas" were the most important criteria, respectively. The findings suggest that GIS-based SDSS is suitable to engage the various criteria affecting the development of ecotourism destinations. This empirical research develops a new method that can significantly facilitate planning forecotourism development with respect to ecological capability of ecotourism destinations.

New spatial decision support systems for sustainable urban and regional development

2015 ◽  
Vol 4 (1) ◽  
pp. 45-66 ◽  
Author(s):  
Patrizia Lombardi ◽  
Valentina Ferretti
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Case Studies ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Content Type ◽  
New Generation ◽  
Support Decision Making ◽  
Regeneration Processes

Purpose – Policy makers are frequently challenged by the need to achieve sustainable development in cities and regions. Current decision-making processes are based on evaluation support systems which are unable to tackle the problem as they cannot take a holistic approach or a full account of actors. The purpose of this paper is to present a new generation of evaluation systems to support decision making in planning and regeneration processes which involve expert participation. These systems ensure network representation of the issues involved and visualization of multiple scenarios. Design/methodology/approach – A literature review is used for both revising existing evaluation tools in urban planning and the built environment and highlighting the need to give stakeholders (industry, cities, operators, etc.) new tools for collaborative or individual decisions and to facilitate scaling up solutions. An overview of the new generation of decision support systems, named Multicriteria Spatial Decision Support Systems (MC-SDSS) is provided and real case studies are analyzed to show their ability to tackle the problem. Findings – Recent research findings highlight that decisions in urban planning should be supported by collaborative and inclusive processes. Otherwise, they will fail. The case studies illustrated in this study highlight the usefulness of MC-SDSS for the successful resolution of complex problems, thanks to the visualization facilities and a network representation of the scenarios. Research limitations/implications – The case studies are limited to the Italian context. Practical implications – These SDSS are able to empower planners and decision makers to better understand the interaction between city design, social preferences, economic issues and policy incentives. Therefore, they have been employed in several case studies related to territorial planning and regeneration processes. Originality/value – This study provides three case studies and a review of the new MC-SDSS methodology which involve the Analytic Network Process technique to support decision-making in urban and regional planning.

scholarly journals Estimating parameter values of a socio-hydrological flood model

2018 ◽  
Vol 379 ◽  
pp. 193-198
Author(s):  
Marlies Holkje Barendrecht ◽  
Alberto Viglione ◽  
Heidi Kreibich ◽  
Sergiy Vorogushyn ◽  
Bruno Merz ◽  
...  
Keyword(s):  
Time Series ◽  
Case Studies ◽  
Hydrological Model ◽  
Promising Tool ◽  
Flood Model ◽  
Modelling Studies ◽  
Data Points ◽  
Few Data ◽  
Parameter Values

Abstract. Socio-hydrological modelling studies that have been published so far show that dynamic coupled human-flood models are a promising tool to represent the phenomena and the feedbacks in human-flood systems. So far these models are mostly generic and have not been developed and calibrated to represent specific case studies. We believe that applying and calibrating these type of models to real world case studies can help us to further develop our understanding about the phenomena that occur in these systems. In this paper we propose a method to estimate the parameter values of a socio-hydrological model and we test it by applying it to an artificial case study. We postulate a model that describes the feedbacks between floods, awareness and preparedness. After simulating hypothetical time series with a given combination of parameters, we sample few data points for our variables and try to estimate the parameters given these data points using Bayesian Inference. The results show that, if we are able to collect data for our case study, we would, in theory, be able to estimate the parameter values for our socio-hydrological flood model.

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