Department of Civil Engineering
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Item Quantifying Accessibility to Health Care Using Two-step Floating Catchment Area Method (2SFCA): A Case Study in Rajasthan(Elsiever, 2016) Singh, Ajit Pratap; Sarkar, Askoke KumarSpatial isolation of the villages from health facilities is a concern in rural areas. Quantifying accessibility to health care helps in interpreting the performance of health care system in a region. Thus in this paper a technique named two-step floating catchment area (2SFCA) method was used to measure level of accessibility. GIS platform was used to execute 2SFCA method. A case study was carried out in Alwar district of Rajasthan to quantify the accessibility of different habitations to health care. The outcome of the study helps the policy makers to identify the habitations not having access to health care and also to know the level of accessibility of the villages having access to health care. This will help to take appropriate measures in terms of improving road network and construction of new health care centers to improve the overall health care facilities in the district.Item Evaluation of access to health care in rural areas using enhanced two-step floating catchment area (E2SFCA) method(Elsiever, 2016-10) Singh, Ajit Pratap; Sarkar, Askoke KumarThe study concerns with the quantification of accessibility to health facilities which is a prime concern in rural areas. In order to assure access to health care, planning commissions and policy decision makers require definite and reliable measures of accessibility values, thus that appropriate health care shortage areas can be analyzed and a policy decision can be taken accordingly to pacify the problem. Thus in this paper enhanced two step floating catchment area (E2SFCA) method, a special case of gravity model is used to quantify the present accessibility levels to health in rural areas. E2SFCA method which is an enhancement of two step floating catchment area (2SFCA) method differentiates the accessibility of the population within the catchment area by introducing a distance decay function. At the point when calibrating the distance decay from the travel behavior of patients in the study areas, it is revealed that sigmoidal functions are more likely suitable for the high population density regions and also plain terrains and decline functions for low population density regions and difficult desert or hilly areas. The paper yields health care shortage areas.Item The Application of Adaptive Neuro-Fuzzy Inference System and Fuzzy Delphi Technique to Assess Socio-Economic Impacts of Construction of Rural Roads(Sciendo, 2019-11) Singh, Ajit PratapOne of the key elements for rural development is the connectivity using proper roads, which enhances the passage for economic and social utilities with overall socio-economic development. Socio-economic impact assessment (SEIA) forms one of the significant measures to evaluate the outcome received through infrastructure development in rural areas. SEIA modeling under computational intelligence coupled with fuzzy framework provides significant ground to deal with both qualitative and quantitative data. This study proposes a novel methodology by using Adaptive Neuro-Fuzzy Inference System (ANFIS) with Fuzzy Delphi method (FDM) to evaluate socio-economic impacts. The effectiveness of the methodology is presented through a case study for 27 habitations connected with all-weather rural roads constructed under Pradhan Mantri Gram Sadak Yojana (PMGSY) scheme in Jhunjhunu district of Rajasthan State, India. 33 key-parameters under five different criteria are considered for SEIA. For a comprehensive view of the impacts, the results are depicted using ArcGIS tool.