Map-Based Exploratory Evaluation of Non-Medical Determinants of Population Health

Criterion Space ◽

Management Processes

Multi‐criteria evaluation (MCE) and decision‐making are increasingly combined with interactive tools to assist users with visual thinking and exploring decision strategies. The interactive control of criterion combination rules and the simultaneous observation of geographic space and criterion space provide a means of investigating the sensitivity of the decision outcome to the decision‐maker's preferences. The Analytic Hierarchy Process (AHP) is an MCE method that has been successfully implemented in management processes including those addressed by Geographic Information Systems. In this paper, we present a map‐based, interactive AHP implementation, which provides a link between a well‐understood decision support method and exploratory geographic visualization. Using a case study with public health data for the Province of Ontario, Canada, we demonstrate that exploratory map use increases the effectiveness of the AHP‐based evaluation of population health.

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

10.32920/14640870.v1 ◽

2021 ◽

Author(s):

Claus Rinner

Keyword(s):

Quality Of Life ◽

Decision Making ◽

Analytic Hierarchy ◽

Geographic Visualization ◽

Urban Quality Of Life ◽

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.

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

10.32920/14640870 ◽

2021 ◽

Author(s):

Claus Rinner

Keyword(s):

Quality Of Life ◽

Decision Making ◽

Analytic Hierarchy ◽

Geographic Visualization ◽

Urban Quality Of Life ◽

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.

Proceedings of International Conference in Mechanical and Energy Technology - Smart Innovation, Systems and Technologies ◽

An Analytic Hierarchy Process (AHP)-Based Multi-criteria Evaluation and Priority Analysis for Best FWH Substitution of Solar Aided Thermal Power Plant

10.1007/978-981-15-2647-3_66 ◽

2020 ◽

pp. 707-717

Author(s):

Shailendra Pratap Singh ◽

Subrata Kumar Ghosh ◽

Vijay Kumar Dwivedi

Keyword(s):

Power Plant ◽

Analytic Hierarchy Process ◽

Thermal Power Plant ◽

Thermal Power ◽

Analytic Hierarchy ◽

Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

Transport and Telecommunication Journal ◽

10.2478/ttj-2018-0010 ◽

2018 ◽

Vol 19 (2) ◽

pp. 113-127 ◽

Cited By ~ 15

Author(s):

Haresh Kumar Sharma ◽

Jagannath Roy ◽

Samarjit Kar ◽

Olegas Prentkovskis

Keyword(s):

Multiple Criteria Decision Making ◽

Evaluation Process ◽

Evaluation Framework ◽

Analytic Hierarchy ◽

Railway Stations ◽

Validity Testing ◽

Criteria Weights ◽

Indian Railway ◽

Abstract This study proposes a hybrid multiple criteria decision making (MCDM) methodology for evaluating the performance of the Indian railway stations (IRS). Since the customers are heterogeneous and their requirements are often imprecise, the evaluation process is a critical step for prioritizing the IRS. To improve the existing approaches, an efficient evaluation technique has been proposed by integrating rough numbers, analytic hierarchy process (AHP) and multi-attribute border approximation area comparison (MABAC) methods in rough environment. The relative criteria weights based on their preferences given by experts is determined by rough AHP whereas evaluation of the alternatives based on these criteria are done by the modified rough MABAC method. A case study of prioritizing different railway stations in India is provided to demonstrate the efficiency and applicability of the proposed method. Among different criteria “proactively” is observed to be the most important criteria in our analysis, followed by ‘Railfanning’ and ‘DMO’ is found to be the best among the forty IRS in this study. Finally, a comparative analysis and validity testing of the proposed method are elaborated and the methodology provides a standard to select IRS on the basis of different criteria.

Multi-criteria evaluation of hydrogen storage systems for automobiles in Korea using the fuzzy analytic hierarchy process

International Journal of Hydrogen Energy ◽

10.1016/j.ijhydene.2014.03.066 ◽

2014 ◽

Vol 39 (15) ◽

pp. 7852-7858 ◽

Cited By ~ 27

Author(s):

Bongjin Gim ◽

Jong Wook Kim

Keyword(s):

Hydrogen Storage ◽

Analytic Hierarchy Process ◽

Storage Systems ◽

Fuzzy Analytic Hierarchy Process ◽

Analytic Hierarchy ◽

Combining AHP and TOPSIS Methods to Evaluate Investment for Wind Farm Construction

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.860-863.280 ◽

2013 ◽

Vol 860-863 ◽

pp. 280-286 ◽

Cited By ~ 1

Author(s):

Xiang Feng Zhang

Keyword(s):

Alternative Energy ◽

Wind Farm ◽

Evaluation Method ◽

Evaluation Criteria ◽

Wind Farms ◽

Investment Strategy ◽

Analytic Hierarchy ◽

Order Preference ◽

Rational Investment

Wind is one of the most promising sources of alternative energy. The construction of wind farms grows quickly in China. It is necessary for stakeholders to estimate investment costs and make good decisions on a wind power project by making a budget for the investment. However, the identification of rational investment practices is technically challenging because of the lack of scientific tools to evaluate optimal decisions. A multi-criteria evaluation method was proposed to select rational investment strategy for wind farm construction. The method is based on the analytic hierarchy process (AHP) together with a technique for order preference by similarity to ideal solution (TOPSIS). A decision problem hierarchy with three layers were investigated. The top layer is an objective layer for evaluating the investment rationality. The intermediate layer includes three evaluation criteria, that is, configuration of wind turbine generator systems, physical environment and social environment. Some relative and important indicators for each criterion are in the low layer. The evaluation results illustrate that the proposed method is practical and helpful to indentify the investment rationality for wind farms.

Assessing the Contribution of Urban Freight Terminals in Last Mile Operations

Transport and Telecommunication Journal ◽

10.1515/ttj-2016-0021 ◽

2016 ◽

Vol 17 (3) ◽

pp. 231-241 ◽

Cited By ~ 4

Author(s):

Eftihia Nathanail ◽

Michael Gogas ◽

Giannis Adamos

Keyword(s):

Performance Indicator ◽

Evaluation Framework ◽

Analytic Hierarchy ◽

Urban Freight ◽

Last Mile ◽

Multi Stakeholder ◽

Hierarchy Process ◽

Freight Terminals

Abstract This paper introduces a multi-stakeholder multi-criteria evaluation framework, which can be used for the assessment of the last mile distribution performance of urban freight terminals. To this end, a comparative analysis is conducted addressing two Greek urban intermodal freight terminals located at the port of Thessaloniki (ThPA) and Kuehne+Nagel (K+N)’s premises. The assessment of the terminals’ performance relies on a tailored multi-criteria Key Performance Indicator (KPI)-based evaluation framework, whereas the selection and significance of the incorporated criteria and KPIs is predetermined by the relevant responsible stakeholders, who imposed their viewpoint through an analytic hierarchy process. Results showed that ThPA was ranked first according to its performance pertaining to the role of an intermodal interchange; still, K+N’s performance index was only 8.5% lower than ThPA’s, while in specific KPIs it seems that it performs in a better way.

Evaluation of the Performance of E-Commerce Using the Analytic Hierarchy Process (AHP): Business Perspectives on E-Commerce

Journal of International Business, Economics and Entrepreneurship ◽

10.24191/jibe.v2i2.14447 ◽

2017 ◽

Vol 2 (2) ◽

pp. 20

Author(s):

Sid Sirisukha

Keyword(s):

Analytic Hierarchy Process ◽

Competitive Advantage ◽

Domain Knowledge ◽

Analytic Hierarchy ◽

Business Innovation ◽

Business People ◽

Business Executives ◽

Management Processes ◽

The Analytic Hierarchy Process ◽

The purpose of this study is to employ the Analytic Hierarchy Process (AHP) to evaluate electronic commerce (e- commerce) types. An important contribution of this study is the identification of business perspectives on ecommerce types. This study articulates distinctive characteristics of the types of e- commerce and management processes that extend the range of applicability across diverse business segments. The Analytic Hierarchy Process (AHP) helps the decision maker such as business executives to prioritize alternatives in B2B, B2C, and C2B as e- commerce types, so that the best one can be selected. As business innovation has relied increasingly on partnerships between business and supplier, there is a different perspective of how business executives view their business process and competitive advantage. Based on the findings from this study, one important way for business people to be heard is to devote their time to create competitive advantage and develop shared domain knowledge which appear as the most influential construct in the AHP model. Business executives need to understand the leverage points of the industry, the history and current issues of the e-commerce, and to learn to apply business- oriented objectives in the application of technology to gain competitive advantage. This change in view would help focus their attention on e-commerce technology and ideas that will produce the most benefit and create competitive advantage, rather than those that offer the most technical promise.

Multi-Criteria Performance Evaluation System in the Industrial Heritage Reuse Plan

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/943/1/012034 ◽

2021 ◽

Vol 943 (1) ◽

pp. 012034

Author(s):

C K Weng ◽

C F Lai ◽

Y C Chien ◽

W C Yeh

Keyword(s):

Performance Evaluation ◽

Evaluation System ◽

Evaluation Method ◽

Evaluation Model ◽

Influencing Factor ◽

Analytic Hierarchy ◽

Industrial Heritage ◽

The Hierarchical Structure ◽

Major Factors

Abstract Industrial heritage is unique in terms of its patterns, reuse characteristics, economic relevance and social operations. Under the government’s “Industrial Heritage Regeneration Project”, a menu of outcome/performance assessments have been in practice and have evolved. This paper combines expert methods, the Analytic Hierarchy Process, and the Multi-criteria Evaluation Method, along with qualitative and quantitative data, to clarify the hierarchical structure and weight of factors that influence outcome/performances. The research purpose is to establish an integrated multi-criteria performance evaluation model for the reuse of industrial heritage. The findings identify a long list of factors by crossing the four major factors concerning the reuse of industrial heritage, namely regeneration creativity, operational management, implementation effectiveness and sustainable developments. Regeneration creativity is considered as the most important element, and the presentation of thematic plans and characteristics is the most important influencing factor. It is suggested that clarifications should be made concerning the factors that affect different facets in the execution of reuse initiatives. The research findings can serve as a reference for decision-making in reuse and development by reflecting the culture and value for the reuse and implementations of industrial heritage.