scholarly journals Assessing the Contribution of Urban Freight Terminals in Last Mile Operations

2016 ◽  
Vol 17 (3) ◽  
pp. 231-241 ◽  
Author(s):  
Eftihia Nathanail ◽  
Michael Gogas ◽  
Giannis Adamos
Keyword(s):  
Performance Indicator ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Urban Freight ◽  
Multi Criteria Evaluation ◽  
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.

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

2018 ◽  
Vol 19 (2) ◽  
pp. 113-127 ◽  
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 ◽  
Multi Criteria Evaluation ◽  
Criteria Weights ◽  
Indian Railway ◽  
Hierarchy Process

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.

scholarly journals Development of a Multi-Criteria Evaluation Framework and Its Application for Earthquake Shelter Selection

2020 ◽  
Vol 20 (2) ◽  
pp. 197-205
Author(s):  
Nahyeong Kim ◽  
Jeongwon Joo ◽  
Minyeong Kim ◽  
Kijung Park
Keyword(s):  
Ad Hoc ◽  
Relevant Literature ◽  
Evaluation Process ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Shelter Selection ◽  
Hierarchy Process ◽  
The City

The importance of designated earthquake shelters has been emphasized in South Korea. However, the lack of an appropriate evaluation process for shelter candidates often leads to an ad-hoc selection of earthquake shelters, resulting in inefficient disaster management. To address this issue, this study proposes an evaluation framework based on multi-criteria decision-making to measure the suitability of earthquake shelters quantitatively. First, available indicators for shelter evaluation are extracted from the relevant literature, which are then streamlined and grouped using text mining to represent evaluation areas. Next, the selected indicators are standardized to the same value scale, and the Analytic Hierarchy Process (AHP) is used to derive the relative importance of each evaluation area to compute the weighted sum total score of each candidate. The developed evaluation framework is applied to a case study of earthquake shelter selection in the city of Songdo-dong. The results show that there are additional shelter candidates suitable for earthquake evacuation in addition to the current designated shelters. This study can serve as a basis for objective shelter selection that would improve the identification and utility of designated shelters.

scholarly journals Evaluating Usability of Academic Websites through a Fuzzy Analytical Hierarchical Process

2021 ◽  
Vol 13 (4) ◽  
pp. 2040
Author(s):  
AbdulHafeez Muhammad ◽  
Ansar Siddique ◽  
Quadri Noorulhasan Naveed ◽  
Uzma Khaliq ◽  
Ali M. Aseere ◽  
...  
Keyword(s):  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Academic Tasks ◽  
Frequency Of Use ◽  
Wide Range ◽  
Different Dimensions ◽  
Academic Websites ◽  
Academic Information ◽  
Hierarchy Process ◽  
Usability Criteria

In the higher education sector, there is a growing trend to offer academic information to users through websites. Contemporarily, the users (i.e., students/teachers, parents, and administrative staff) greatly rely on these websites to perform various academic tasks, including admission, access to learning management systems (LMS), and links to other relevant resources. These users vary from each other in terms of their technological competence, objectives, and frequency of use. Therefore, academic websites should be designed considering different dimensions, so that everybody can be accommodated. Knowing the different dimensions with respect to the usability of academic websites is a multi-criteria decision-making (MCDM) problem. The fuzzy analytic hierarchy process (FAHP) approach has been considered to be a significant method to deal with the uncertainty that is involved in subjective judgment. Although a wide range of usability factors for academic websites have already been identified, most of them are based on the judgment of experts who have never used these websites. This study identified important factors through a detailed literature review, classified them, and prioritized the most critical among them through the FAHP methodology, involving relevant users to propose a usability evaluation framework for academic websites. To validate the proposed framework, five websites of renowned higher educational institutes (HEIs) were evaluated and ranked according to the usability criteria. As the proposed framework was created methodically, the authors believe that it would be helpful for detecting real usability issues that currently exist in academic websites.

scholarly journals TEACHING PERFORMANCE EVALUATION FRAMEWORK: AN ANALYTIC HIERARCHY PROCESS APPROACH

2017 ◽  
Vol 1 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Azizul Azhar Ramli ◽  
Shahreen Kasim ◽  
Mohd. Farhan Md. Fuzzee ◽  
Hairulnizam Mahdin
Keyword(s):  
Performance Evaluation ◽  
Analytic Hierarchy Process ◽  
Process Approach ◽  
Evaluation Framework ◽  
Teaching Performance ◽  
Analytic Hierarchy ◽  
Hierarchy Process

scholarly journals Fuzzy Analytic Hierarchy Process-Based Multi-Criteria Decision Making for Universities Ranking

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1351
Author(s):  
Rashad Aliyev ◽  
Hasan Temizkan ◽  
Rafig Aliyev
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Performance Indicator ◽  
Real Life ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Life Problems ◽  
Types Of Information ◽  
Hierarchy Process

High competition between universities has been increasing over the years, and stimulates higher education institutions to attain higher positions in the ranking list. Ranking is an important performance indicator of university status evaluation, and therefore plays an essential role in students’ university selection. The ranking of universities has been carried out using different techniques. Main goal of decision processes in real-life problems is to deal with the symmetry or asymmetry of different types of information. We consider that multi-criteria decision making (MCDM) is well applicable to symmetric information modelling. Analytic hierarchy process (AHP) is a well-known technique of MCDM discipline, and is based on pairwise comparisons of criteria/alternatives for alternatives’ evaluation. Unfortunately, the classical AHP method is unable to deal with imprecise, vague, and subjective information used for the decision making process in complex problems. So, introducing a more advanced tool for decision making under such circumstances is inevitable. In this paper, fuzzy analytic hierarchy process (FAHP) is applied for the comparison and ranking of performances of five UK universities, according to four criteria. The criteria used for the evaluation of universities’ performances are teaching, research, citations, and international outlook. It is proven that applying FAHP approach makes the system consistent, and by the calculation of coefficient of variation for all alternatives, it becomes possible to rank them in prioritized order.

scholarly journals Urban tourist motivations: why visit Ljubljana?

2017 ◽  
Vol 3 (4) ◽  
pp. 382-398 ◽  
Author(s):  
Sanja Bozic ◽  
James Kennell ◽  
Miroslav D. Vujicic ◽  
Tamara Jovanovic
Keyword(s):  
Capital City ◽  
Structured Interviews ◽  
Pull Factors ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Ahp Model ◽  
Pull Factor ◽  
New Perspective ◽  
Hierarchy Process

Purpose The purpose of this paper is to develop a new perspective on urban tourist motivations by applying the analytic hierarchy process (AHP) model to help to understand how tourists make decisions about which destinations to visit. Design/methodology/approach This study was based on 30 one-hour-long structured interviews with visitors to Ljubljana, the capital city of Slovenia. Respondents were asked to express their preferences between different pull-factor motives for their visit, using Saaty’s scale, and further qualitative data were collected to examine these preferences in more depth. Findings The results of this study indicate that the most relevant criteria and thus predominant factors in motivation for visits to Ljubljana are the Cultural and Nightlife pull factors, while religious and business motives are the lowest ranked factors. The paper argues that the results show the value of applying the AHP model to understand the role of pull factors in urban tourism destination choice. Research limitations/implications As a single-destination case study, it is important that the findings of this research are evaluated against similar studies in other cities. A limitation of this research is the fact that sub motives within major groups of pull-factor motives have not been explored in this study and this should be the subject of future, more detailed research. Originality/value This research shows the value of applying an under-used methodology to understand urban tourist motivations and knowledge gained through applying this method will be of value to destination marketing organisations as well as to researchers conducting future studies.

scholarly journals Poor Residents’ Perceptions of the Impacts of Tourism on Poverty Alleviation: From the Perspective of Multidimensional Poverty

2020 ◽  
Vol 12 (18) ◽  
pp. 7515
Author(s):  
Kai Wang ◽  
Chang Gan ◽  
Lijun Chen ◽  
Mihai Voda
Keyword(s):  
Health Care ◽  
Delphi Method ◽  
Poverty Alleviation ◽  
Multidimensional Poverty ◽  
Evaluation Framework ◽  
The Other ◽  
Analytic Hierarchy ◽  
Economic Level ◽  
The Mean ◽  
Hierarchy Process

Tourism plays a crucial role in alleviating poverty deprivations and achieving sustainable development. Nevertheless, there is a lack of literature regarding evaluating poor residents’ perceptions of the impacts of tourism on poverty alleviation from the perspective of multidimensional poverty. Taking Fenghuang County, China, as the study area, this study established an evaluation framework by using the Delphi method based on multidimensional poverty theory. Moreover, analytic hierarchy process (AHP) was employed to identify the weight of each indicator and assess poor residents’ perceptions of the impacts of tourism on poverty alleviation. The results indicate that tourism economic development has been a momentous contributor to alleviating multidimensional poverty in study locations to a certain extent (3.180). However, there is still room for improvement and promotion. With respect to various dimensions, the mean of economic level is the highest (1.125), whilst the means of education training (0.420) and health care (0.819) are relatively lower than the other dimensions.

Sign in / Sign up

Export Citation Format

Share Document