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Title: Analyzing Spatial Accessibility to the Government Hospitals in Chonburi, Thailand
การวิเคราะห์การเข้าถึงเชิงพื้นที่ที่มีต่อโรงพยาบาลของรัฐบาลในจังหวัดชลบุรี ประเทศไทย
Authors: Pawin Imudom
ภวินท์ อิ่มอุดม
Burapha University. Faculty of Geoinformatics
Keywords: spatial accessibility
spatial analyzing
Issue Date:  9
Publisher: Burapha University
Abstract: In the modern time, urbanization is getting more and more expansion by the community and industry. But for people who has problem about their health condition and how can they access to the public healthcare facilities such as hospitals, which they can be treated as a patient. Chonburi is the province that has well-known tourist city, Pattaya, and has grown rapidly in population because the business and university is located. Currently, Thailand is experiencing the rapid rates of population ageing. Thailand transitioned into the classification of an “aged society” in 2005, and projected to reach the status of a “complete aged society” by 2021. Furthermore, in 2031 will become a “super aged society”. These mean Thailand will have elderly populated all over the country which the hospitals or healthcare facility become more important to visit once awhile. In case of aged population, time-travel or how they access due to the available of healthcare facility are play in a major role in every area. Accessibility refers to the relation activities in specific location can be access from another location. Access is a complex concept and at least three aspects were evaluated 1) Physical accessibility is the aspect that concerns about the opportunity to received treatment when it is wanted or needed. The way to measures the availability using numbers of practitioners or hospital beds per head of population 2) Financial affordability is a measure of people’s ability to pay for services. It is not only the cost of health services but also indirect cost such as the cost of transportation to the facility from their location. And 3) Acceptability is people’s willingness to look for healthcare services. The public healthcare providers must accept all patients regardless of the population’s characteristics e.g. age, gender, social class ethnicity or type of insurance. In this paper, we assume that government hospitals are the main places for treating illness of people and analyze by spatial accessibility to each district based on capacity of hospital and population. There are various methods of analyzing spatial accessibility based on population to provider ratio. This method was developed by Luo and Wang called two-step factor catchment area method (2SFCA), which originally from floating catchment area (FCA) method by Redke and Mu. However, 2SFCA method has some limitation that need to be considered. This method is dichotomous measure, which have only two categories or level, i.e., all locations outside the catchment area have no access at all. Another factor is distance impedance with the catchment area i.e., all the population location inside the catchment area are assumed to have equal access to the public healthcare facilities. Few years later, Lou and Qi developed and enhancement to previous research of 2SFCA by applying weights on differentiate travel time zone called E2SFCA. In order to differentiate accessibility within a catchment, multiple travel time zone within each catchment area are obtained by using ArcGIS Network Analyst and assigned with different weights according to the Gaussian function. The administrative border and population data provided by Chonburi Provincial Public Health Office and Royal Thai Survey Department (RTSD) respectively by the year of 2018. The aim is to demonstrate the spatial accessibility to government hospitals in Chonburi and analyze the results by experimenting the ranges of travels time in this method. This algorithm might help the government improve in planning and realizing in disparity of health in other areas. Built on previous research, this paper demonstrates an enhancement of original 2SFCA method for measuring accessibility to government hospitals by applying weights to different travel time zones within a catchment to account for distance impedance. Several issues remain for further study. For example, what is the suitable function for distant impedance? What is temporal resolution for estimation in time-travelling? What size of catchment would appropriate? Can this method apply to other facilities or services? So far, many studies showed that E2SFCA represents a spatial accessibility pattern which city planners able to use for seeking disparity of healthcare services.
Description: Master Degree of Science (M.Sc.)
วิทยาศาสตรมหาบัณฑิต (วท.ม.)
Appears in Collections:Faculty of Geoinformatics

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