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چکیده

یکی از مهم ترین چالش های پیش روی سیاست گذاران و برنامه ریزان شهری طی دهه های اخیر، مسئله دسترسی به انواع خدمات شهری است. هدف پژوهش حاضر، محاسبه دسترسی بلوک های جمعیتی به مراکز درمانی با استفاده از روش توسعه یافته حوزه نفوذ شناور دو مرحله ای (2SFCA) در شهر اصفهان است. در پژوهش حاضر، روش 2SFCA با استفاده از توابع افت فاصله در دو حالت با محدودیت و بدون محدودیت شعاع دسترسی به کار گرفته شد. نتایج نشان دهنده آن بود که روش 2SFCA با استفاده از تابع فرصت تجمعی خطی منفی بیشترین متوسط همبستگی را در دسترسی در مقایسه با سایر توابع داراست. محاسبه میانگین دسترسی در مناطق پانزده گانه شهر اصفهان حاکی از آن بود که مناطق مرکزی (3،1 و 5) بیشترین کاهش و مناطق حاشیه ای (8، 9 و11) بیشترین افزایش دسترسی را در حالت بدون محدودیت نسبت به حالت با محدودیت داشته اند. به طور کلی نتایج حاصل از به کارگیری روش 2SFCA و محاسبه ضریب جینی نشان دهنده آن است که میزان نابرابری در دسترسی بلوک های جمعیتی به خدمات درمانی در شهر اصفهان زیاد بوده است و این میزان نابرابری در حالت توأمان دسترسی به بیمارستان ها و درمانگاه ها افزایش می یابد. با توجه به قابلیت بالای روش 2SFCA توسعه یافته به دلیل در نظر گرفتن واقع بینانه تر عرضه، تقاضا، حوزه نفوذ و میزان فاصله، استفاده از این روش برای ارزیابی میزان دسترسی به انواع خدمات به خصوص خدمات اضطراری و درمانی به مدیران و برنامه ریزان شهری کمک بسزایی می کند.

Measuring Accessibility to Medical Centers in Isfahan City Using 2SFCA Method

  Abstract One of the most important challenges facing policymakers and urban planners in recent decades is the issue of accessibility to a variety of urban services. The main purpose of this study was thecalculation of the accessibility of census blocks to medical centers using the Two-Step Floating Catchment Area (2SFCA) method in Isfahan City. In the present study, according to the conditions with and without the limitations of the accessibility radii, different types of distance decay functions were used. The results showed that the 2SFCA method with the use of the cumulative opportunity negative linear function had the highest average of correlation for calculating accessibility to medical centers in comparison with other functions. Calculation of average accessibility in the 15 main regions of Isfahan City showed that the central regions (3, 1, and 5) had the highest decrease and the marginal regions (9, 8, and 11) had the highest increase in the unlimited compared to the limited mode. In general, based on the obtained results of 2SFCA method and the calculated Gini index, the level of inequality in accessibility of census blocks to health services was high in Isfahan City and this inequality increased in terms of accessibility to both hospitals and clinics. Since the extended 2SFCA method has a high capability for assessing supply and demand, as well as catchment area, application of this method can provide a great help for managers and planners in theassessment of the population’s access to a variety of services, such as emergency services and healthcare. Keywords: spatial accessibility, 2SFCA method, distance decay function, medical centers, Isfahan   Introduction One of the most important challenges faced by policymakers and urban planners in recent decades has been the subjct of access to a variety of urban services. Hospital and clinic centers as the most important urban facilities play an important role in serving people. handeling access to healthcare requires examining the factors, such as spatial distribution of services and demands. Distribution of healthcare centers can affect ease of accessibility for applicants. As health is the basis of social, economic, political, and cultural developments of human societies, identifying deprived areas in terms of accessibility and planning for equitable accessibility to health services for all members of society are essential.   Methodology In the present study, the Two-Step Floating Catchment Area Method (2SFCA) was employed to calculate the access of census blocks to medical centers (hospitals and clinics) in the city of Isfahan for limited and unlimited accessibility radii. To define the most appropriate distance decay function in the 2SFCA method, the average of Pearson’s correlation coefficient between the accessibility values ​​obtained from different distance decay functions was used. The distance decay function with the highest mean correlation of accessibility values compared to other functions was determined as the most appropriate function in the 2SFCA method. Also, the Lorenz curve and Gini coefficient were applied to compare inequalities of access to medical centers in Isfahan.   Results and Discussion The results showed that the use of the negative linear cumulative opportunity distance decay function had the highest average correlation in the accessibility values compared to other functions. In the case of limited accessibility radius, the central regions and some northwest and east areas had the highest accessibility to hospitals. In the case of unlimited radius, the central areas had the most accessibility, while accessibility decreased as the distance from these areas increased. Calculation of the average accessibility in the 15 main regions of Isfahan showed that the central (3, 1 and 5) and marginal (9, 8, and 11) regions had the highest decrease and increase in the unlimited compared to the limited mode, respectively. Also, the sensitivity analysis of accessibility to hospitals showed that Al-Zahra and Hazrat Zahra hospitals in Districts 5 and 14 had the greatest impacts on the accessibility of cesus blocks to hospital services in Isfahan City. Comparing the accessibility of census blocks to both hospitals and clinics with accessibility only to hospitals showed an increase in accessibility in the central areas of the city due to the greater concentration of clinics in those areas. However, in the case of combination of hospitals and clinics, the Gini coefficient was equal to 0.60, which showed an increase of 0.04 compared to the case of accessibility only to hospitals, which indicated that inequality was higher in the combinatorial case.   Conclusion Considering the supply and demand simultaneously, the 2SFCA method can provide a more realistic assessment of the accessibility status of census blocks to medical services. In general, based on the obtained results by this method and due to considering the limited radius of accessibility and calculating the Gini index, the level of inequality in the accessibility of census blocks to health services was high in Isfahan City, while this inequality increased in the case of  accessibility to both hospitals and clinics.   References - Apparicio, P., Gelb, J., Dubé, A. S., Kingham, S., Gauvin, L., & Robitaille, É. (2017). The approaches to measuring the potential spatial access to urban health services revisited: distance types and aggregation-error issues . International Journal of Health Geographics, 16(1), 1-24. - Bryant Jr, J. and Delamater, P. L. (2019). Examination of spatial accessibility at micro- and macro-levels using the enhanced two-step floating catchment area (E2SFCA) method . Annals of GIS, 25(3), 219-229. - Chatterjee, S. and Hadi, A. S. (2006). Regression analysis by example. 4 th Ed., John Wiley & Sons. - Chen, X. and Jia, P. (2019). A comparative analysis of accessibility measures by the two-step floating catchment area (2SFCA) method . International Journal of Geographical Information Science, 33(9), 1739-1758. - Dai, D. (2010). Black residential segregation, disparities in spatial access to health care facilities, and late-stage breast cancer diagnosis in metropolitan Detroit . Health & Place, 16(5), 1038-1052. - Dewulf, B., Neutens, T., De Weerdt, Y., & Van de Weghe, N. (2013). Accessibility to primary health care in Belgium: an evaluation of policies awarding financial assistance in shortage areas . BMC Family Practice, 14(1), 1-13. - Goswami, S., Murthy, C. A., & Das, A. K. (2018). Sparsity measure of a network graph: Gini index . Information Sciences, 462, 16-39. - Hashtarkhani, S., Kiani, B., Bergquist, R., Bagheri, N., Vafaeinejad, R., & Tara, M. (2020). An age-integrated approach to improve measurement of potential spatial accessibility to emergency medical services for urban areas . The International Journal of Health Planning and Management, 35(3), 788-798. - Jamtsho, S., Corner, R., & Dewan, A. (2015). Spatio-temporal analysis of spatial accessibility to primary health care in Bhutan . ISPRS International Journal of Geo-Information, 4(3), 1584-1604. - Kiran, K. C., Corcoran, J., & Chhetri, P. (2020). Measuring the spatial accessibility to fire stations using enhanced floating catchment method . Socio-Economic Planning Sciences, 69, 100-673. - Luo, W. (2004). Using a GIS-based floating catchment method to assess areas with shortage of physicians . Health & Place, 10(1), 1-11. - Luo, W. and Qi, Y. (2009). Health & place: An enhanced two-step floating catchment area (E2SFCA) method for measuring spatial accessibility to primary care physicians . Health & Place, 15(4), 1100-1107. - Luo, W. and Wang, F. (2003). Measures of spatial accessibility to health care in a GIS environment: Synthesis and a case study in the Chicago region . Environment and Planning B: Planning and Design, 30(6), 865-884. - McGrail, M. R. and Humphreys, J. S. (2014). Measuring spatial accessibility to primary health care services: Utilising dynamic catchment sizes . Applied Geography, 54, 182-188. - Ngui, A. N. and Apparicio, P. (2011). Optimizing the two-step floating catchment area method for measuring spatial accessibility to medical clinics in Montreal . BMC Health Services Research, 11(1), 1-12. - Peng, Z. R. (1997). The jobs-housing balance and urban commuting . Urban Studies, 34(8), 1215-1235. - Park, J. and Goldberg, D. W. (2022). An Examination of the Stochastic Distribution of Spatial Accessibility to Intensive Care Unit Beds during the COVID-19 Pandemic: A Case Study of the Greater Houston Area of Texas . Geographical Analysis. - Radke, J. and Mu, L. (2000). Spatial decompositions, modeling and mapping service regions to predict access to social programs . Geographic Information Sciences, 6(2), 105-112. - Wang, F. (2000). Modeling Commuting Patterns in Chicago in a GIS Environment: A Job Accessibility Perspective . Professional Geographer, 52(1), 120-133. - Wang, L. (2007). Immigration, ethnicity, and accessibility to culturally diverse family physicians . Health and Place, 13(3), 656-671. - Wang, F. (2012). Measurement, optimization, and impact of health care accessibility: a methodological review . Annals of the Association of American Geographers, 102(5), 1104-1112. - Zhang, S., Song, X., & Zhou, J. (2021). An equity and efficiency integrated grid-to-level 2SFCA approach: spatial accessibility of multilevel healthcare . International Journal for Equity in Health, 20(1), 1-14.

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