scholarly journals Connect the dots: Accessibility, readability and site ranking – An investigation with reference to top ranked websites of Government of India

2019 ◽  
Vol 31 (4) ◽  
pp. 528-540 ◽  
Author(s):  
Abid Ismail ◽  
K.S. Kuppusamy ◽  
Ajit Kumar ◽  
Pawan Kumar Ojha
Keyword(s):  
Site Ranking

Accessibility as an integral factor in e-government web site evaluation

2014 ◽  
Vol 27 (2) ◽  
pp. 208-228 ◽  
Author(s):  
Faouzi Kamoun ◽  
Mohamed Basel Almourad
Keyword(s):  
Web Sites ◽  
Web Site ◽  
Web Content ◽  
Content Type ◽  
General Evaluation ◽  
Wcag 2.0 ◽  
Bivariate Correlation ◽  
Government Web Sites ◽  
Accessibility Guidelines ◽  
Site Ranking

Purpose – The purpose of this paper is to examine the extent to which accessibility is taken into account in the assessment and ranking of e-government web sites through the lens of a specific study related to Dubai e-government. Design/methodology/approach – The paper considers a case study related to Dubai e-government and it evaluates the accessibility of each of the 21 Dubai e-government web sites, based on the Web Content Accessibility Guidelines (WCAG) 2.0 and using an automated accessibility testing tool. A bivariate correlation analysis is performed to assess the correlation between web site ranking and accessibility score. Findings – The research reveals that contrary to common intuition and some earlier studies, there is a weak correlation between e-government web site ranking score and web site accessibility. Research limitations/implications – The paper uses an accessibility metric that is a proxy indicator of web accessibility and is not a real assessment of accessibility as experienced by a person with disability. Practical implications – When re-examined through the lens of Rawls's moral theory, this research suggests that accessibility should be given a higher priority in the general evaluation and ranking of e-government web sites. Social implications – The paper promotes universal accessibility to e-government information and services. Originality/value – The paper uses ethical arguments to highlight the need to comprehensively consider accessibility as a major criterion in the assessment and ranking of e-government web sites.

Groundwater Contamination Site Ranking Methodology

1986 ◽  
Vol 112 (4) ◽  
pp. 757-769 ◽  
Author(s):  
Adam W. Olivieri ◽  
Don M. Eisenberg ◽  
Robert C. Cooper
Keyword(s):  
Groundwater Contamination ◽  
Site Ranking

Evaluating Influence of Neighboring Structures on Spatial Crash Frequency Modeling and Site-Ranking Performance

2017 ◽  
Vol 2659 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Gurdiljot Singh Gill ◽  
Wen Cheng ◽  
Meiquan Xie ◽  
Tom Vo ◽  
Xudong Jia ◽  
...  
Keyword(s):  
Traffic Safety ◽  
Goodness Of Fit ◽  
Prediction Models ◽  
Random Effect ◽  
Model Fitting ◽  
Poor Performance ◽  
Spatial Proximity ◽  
Crash Prediction ◽  
Ranking Performance ◽  
Site Ranking

Many neighborhood weight matrices have been adopted for modeling crash spatial heterogeneity. However, there has been little evaluation of their influence on crash prediction modeling performance. This study investigated 17 spatial-proximity matrices for development of spatial crash prediction models and site ranking with county-level data in California. Of the group of matrices being evaluated, traffic exposure–weighted and population-weighted distance-based matrices were first proposed in the traffic safety field. Bayesian spatial analysis was conducted with a combination of a first-order autoregressive error process and time trend for crashes to address the serial correlation of crashes in successive years. Two diagnostic measures were used for assessment of goodness of fit and complexity of models, and seven evaluation criteria were employed to assess the benefits associated with better-fitting models in site ranking. The results showed that modeling performance improved with an increase in number of neighbors considered in the weight matrix. However, a larger number of neighbors also led to greater variability of modeling performance. Specifically, Queen-2 and Decay-50 models proved to be superior among the adjacency- and distance-based models, respectively. The significance of incorporating spatial correlations was highlighted by the consistently poor performance of the base model, which included only the heterogeneity random effect. Finally, model-fitting performance seems to be strongly correlated with site-ranking performance. The models with closer goodness of fit tend to yield more consistent ranking results.

scholarly journals A GIS model for landfill siting

2013 ◽  
Vol 9 (1) ◽  
pp. 29-34
Keyword(s):  
Human Activities ◽  
Geographical Information Systems ◽  
Spatial Information ◽  
Landfill Site ◽  
Geographical Information ◽  
Small Scale ◽  
Gis Model ◽  
Island Area ◽  
Site Evaluation ◽  
Site Ranking

The use of Geographical Information Systems (GIS) for Landfill Sitting is studied. The necessary spatial information required to determine the candidate sites for any type of terrestrial area (Community/Prefecture/Region/Country) is examined. This spatial information is then used for site selection via successive spatial operations: Buffering, overlaying and attribute calculations. The method is tested for the whole region of the island of Crete, producing spatial numerical results, which can be used as points of reference for any future Landfill Sitting study for this area. In our study, the main spatial information required for Landfill Sitting is determined in such a manner, so that the spatial development of the region is assured to be sustainable for the future generations. This means that we try to include as much as possible Environmental / Ecological / Economic factors characterizing the region under consideration. These factors take the form of spatial information, organized in spatial layers. The layers are then inserted into the GIS model for (a) Landfill site exclusion, and (b) Landfill site evaluation. All spatial layers correspond to subcategories of the main categories, defined as follows (GIS model setup): A. NATURE / ECOSYSTEM, B. HUMAN ACTIVITIES, C. WATER RESOURCES / HYDROLOGY, and D. ANTIQUITIES. The exclusion “rules” are then defined by varying buffer distances surrounding each of the above layers separately (distance maps). The total areas to be excluded for each Category are defined by overlaying (union) the various distance maps in a sequential order, with the final “exclusion” map to be the union of all the above sub/distance maps. The remaining areas are then to be evaluated individually. The GIS model results showed that, for the island of Crete, and a moderate buffer distances (“restrictions”) scenario, a total of 47.73% of the whole area is excluded when we consider restrictions residing from Category A. NATURE/ECOSYSTEM, 61.40% is excluded due to the HUMAN ACTIVITIES (Category B), 16.03% is rejected due to WATER RESOURCES/HYDROLOGY protection considerations (Category C), and only 1,04% of the total island area is excluded due to existence of ANTIQUITIES (Category D). If we are to combine the above Categories (A-D), a total of 82.65% of the total area is to be excluded, or a total of 17.35% of the island area only is suitable for Landfill Sitting. The GIS model results defines precisely which these areas are, so small-scale research, based on these results, is required for the final site ranking and selection.

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