scholarly journals Perceptual spatial differentiation of Ljubljana

Dela ◽  
2004 ◽  
pp. 371-379 ◽  
Author(s):  
Marko Krevs
Keyword(s):  
Decision Making ◽  
Spatial Perception ◽  
Spatial Differentiation ◽  
Human Perception ◽  
Local Scale ◽  
Spatial Behaviour ◽  
Spatial Decision Making

Geographical studies of human perception of places at local scale are usually aimed at bet-ter understanding of human spatial perception and knowledge about the places, and of using this knowledge in spatial decision-making or spatial behaviour. Our focus on the first part of these general research aims is presented based on a case study, revealing how residents of the Municipality of Ljubljana perceive and value neighbourhoods of “their” municipality at the beginning of the century1.

scholarly journals Coupling Fuzzy Multi-Criteria Decision-Making and Clustering Algorithm for MSW Landfill Site Selection (Case Study: Lanzhou, China)

2021 ◽  
Vol 10 (6) ◽  
pp. 403
Author(s):  
Jiamin Liu ◽  
Yueshi Li ◽  
Bin Xiao ◽  
Jizong Jiao
Keyword(s):  
Decision Making ◽  
Clustering Algorithm ◽  
Fuzzy Membership Function ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Spatial Distribution Characteristics ◽  
Criteria Weights ◽  
Spatial Decision Making ◽  
Complex Decision

The siting of Municipal Solid Waste (MSW) landfills is a complex decision process. Existing siting methods utilize expert scores to determine criteria weights, however, they ignore the uncertainty of data and criterion weights and the efficacy of results. In this study, a coupled fuzzy Multi-Criteria Decision-Making (MCDM) approach was employed to site landfills in Lanzhou, a semi-arid valley basin city in China, to enhance the spatial decision-making process. Primarily, 21 criteria were identified in five groups through the Delphi method at 30 m resolution, then criteria weights were obtained by DEMATEL and ANP, and the optimal fuzzy membership function was determined for each evaluation criterion. Combined with GIS spatial analysis and the clustering algorithm, candidate sites that satisfied the landfill conditions were identified, and the spatial distribution characteristics were analyzed. These sites were subsequently ranked utilizing the MOORA, WASPAS, COPRAS, and TOPSIS methods to verify the reliability of the results by conducting sensitivity analysis. This study is different from the previous research that applied the MCDM approach in that fuzzy MCDM for weighting criteria is more reliable compared to the other common methods.

Hierarchical Bayesian Parameter Estimation for Modeling and Analysis of User Affective Influence

2013 ◽  
Author(s):  
Feng Zhou ◽  
Jianxin (Roger) Jiao
Keyword(s):  
Decision Making ◽  
Interior Design ◽  
Computational Models ◽  
Human Perception ◽  
Model Parameters ◽  
Hierarchical Bayesian ◽  
Affective States ◽  
Modeling And Analysis ◽  
Human Decision

Traditional user experience (UX) models are mostly qualitative in terms of its measurement and structure. This paper proposes a quantitative UX model based on cumulative prospect theory. It takes a decision making perspective between two alternative design profiles. However, affective elements are well-known to have influence on human decision making, the prevailing computational models for analyzing and simulating human perception on UX are mainly cognition-based models. In order to incorporate both affective and cognitive factors in the decision making process, we manipulate the parameters involved in the cumulative prospect model to show the affective influence. Specifically, three different affective states are induced to shape the model parameters. A hierarchical Bayesian model with a technique called Markov chain Monte Carlo is used to estimate the parameters. A case study of aircraft cabin interior design is illustrated to show the proposed methodology.

scholarly journals Fits-and-Starts: The Changing Nature of the Material City

2022 ◽  
Vol 7 (1) ◽  
pp. 56-71
Author(s):  
Aseem Inam
Keyword(s):  
Decision Making ◽  
21St Century ◽  
Las Vegas ◽  
Human Perception ◽  
Urban Change ◽  
Environmental Costs ◽  
Review Of The Literature ◽  
Early 21St Century ◽  
Space And Time

How and why does the material city in the late 20th and early 21st century change? This article examines one type of prominent urban change, which is “fits-and-starts” and represents change that is concentrated in space and time and that nonetheless has longer term repercussions with high economic and environmental costs. Through a review of the literature and an illuminating case study in Las Vegas, this article reveals how human perception and decision-making via two interrelated phenomena, future speculation and manufactured obsolescence, drive such change. The case study in Las Vegas is particularly fascinating because as a city of apparent extremes, it not only reveals in clear relief phenomena that are present in the capitalist city but it also offers insights into basic patterns of decision-making that actually shape—or design—the contemporary city. The article concludes with more general insights into the nature of this type of urban change and implications for alternative types of urban practices.

scholarly journals Framework for mapping the drivers of coastal vulnerability and spatial decision making for climate-change adaptation: A case study from Maharashtra, India

AMBIO ◽  
2018 ◽  
Vol 48 (2) ◽  
pp. 192-212 ◽  
Author(s):  
Pandian Krishnan ◽  
Pachampalayam Shanmugam Ananthan ◽  
Ramachandran Purvaja ◽  
Jeyapaul Joyson Joe Jeevamani ◽  
John Amali Infantina ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Climate Change Adaptation ◽  
Coastal Vulnerability ◽  
Spatial Decision Making

scholarly journals Exposure Elements in Disaster Databases and Availability for Local Scale Application: Case Study of Kuala Lumpur, Malaysia

2021 ◽  
Vol 9 ◽  
Author(s):  
Nurfashareena Muhamad ◽  
Siti Hasniza M. Arshad ◽  
Joy Jacqueline Pereira
Keyword(s):  
Decision Making ◽  
Open Access ◽  
Spatial Data ◽  
Local Scale ◽  
Informed Decision Making ◽  
Kuala Lumpur ◽  
National System ◽  
Basic Services ◽  
The City

Exposure elements in open-access disaster databases that are relevant to critical infrastructure and basic services in the Sendai Framework on Disaster Risk Reduction (SFDRR) were transformed into spatial data, to investigate the impact of flash flood hazards in Kuala Lumpur, Malaysia. In this era of big data and hyper-connectivity, the availability of open-access data on exposure elements across scales and systems is largely unknown. Information on exposure elements and hazard susceptibility provide important insights to enhance community resilience, to move away from merely managing disasters to managing the risk of disasters, in line with the SFDRR. The case study of Kuala Lumpur enabled an assessment of information availability in existing disaster databases and within the national system, to facilitate informed decision-making. Findings reveal that there are a total of 26 databases on the internet that provide information on disasters and related elements; of which 18 are global, three are regional and four provide information at the national scale. However, only ten databases are open access where the user is able to easily retrieve information while others provide a “view only option”. The coverage of exposure elements in disaster databases is very poor where only five databases carried such information; and it is not useful for local scale application. Thus, information was sought from multiple open data sources within the national system and transformed into spatial data, to develop an exposure element data inventory for the city. There are 509 exposure elements within Kuala Lumpur, covering 33 private and government hospitals and community clinics; 189 public and private schools and institutions higher education; 261 facilities that provide basic services; and 26 features that represent of social and economic aspects. The exposure elements, which is coherent with the SFDRR, benefits decision-making when overlain with existing flood hazard zones and susceptible areas. Moving forward, emerging hazards due to climate change will be evaluated to strengthen informed decision-making and build community resilience in the city. The empowerment of local level research has great potential to advance open sharing of information on disaster and climate risks in the region.

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