Analyzing the Variations of Accessibility to the Hospital Services in Zanjan City Using the Method of Measuring Potential Spatial Accessibility in Period of 2006-2016

Document Type : Research article

Authors

1 Mapping Engineering Department, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran

2 Urban design department, Faculty of Architecture and Urban Design, Shahid Rajaee Teacher Training University, Tehran, Iran

Abstract

A B S T R A C T
Nowadays, the rapid increase of cities’ population and the lack of balanced development of urban services, reduces the level of citizens' use of urban facilities and services. Measuring the potential spatial accessibility index is important because equitable access to the services which is defined as spatial justice, is important for planning and allocating health resources.  Regarding the importance of health in the society, measuring the potential accessibility to the health care services at the level of hospitals is the subject of this study. To measure the accessibility, three methods of 2-Step Floating Catchment Area (2SFCA), Enhanced 2-Step Floating Catchment Area (E2SFCA) and 3-Step Floating Catchment Area (3SFCA) have been implemented in two time periods of 2006 and 2016. The basis of these first two methods are supply and demand while in the third one, the competition between the suppliers is also taken into account.  The results revealed the inequality in accessibility of both urban blocks and neighborhoods to the hospital services for two sections of study which are 2006 and 2016. On the other hand, the accessibilities were improved from 2006 to 2016 by all of the three methods’ results. There is also expected differences between the results of three methods, as the results of 3SFCA method shows the lowest accessibility in compare with the two other methods. The results of this research shows that despite of the improvement of hospital capacities in the city during ten years of study, inequality is observable across the urban blocks and neighborhoods. The strategy for reducing these inequalities and improving the spatial justice is to increase the number of hospitals or to enhance the street network in areas of poor accessibility to the hospitals.
Extended Abstract
Introduction
Considering the importance of the health issue in the society as well as the importance of timely access and delivery of the patient to medical services, this research has considered the issue of location access to hospitals in Zanjan city and by using three methods of the two-stage floating coverage area (2SFCA) , improved two-stage floating coverage area (E2SFCA) and three-stage floating coverage area (3SFCA) calculates and compares the access to hospitals at the level of city blocks in two time periods (2015 and 2015). The rapid growth of the population and the residential area in Zanjan city has caused the examination of the level of access to essential services such as hospital services in this city and especially its changes to be significant. In the calculations of the access rate, the two factors of supply and demand along with the distance factor between the two under the network play the main roles. Therefore, we are facing a geographical problem, which uses a geographic information system (GIS) to perform its calculations.
 
Methodology
In this research, the spatial accessibility index has been used to achieve spatial justice in the case of hospitals in Zanjan city. For this purpose, three methods of floating coverage are used, access to hospitals for the years 2015 and 2016 at the block level is calculated and evaluated using statistical data, spatial data and street network. It should be noted that the spatial analysis of this research has been done using ArcGIS software and using analyzes such as Topology, Network Analyst and Spatial Join along with programming with ArcPy language.
 
Results and discussion
To analyze hospital accessibility with the methods presented above, considering the important considerations of determining the floating influence area for hospitals, as well as considering the functional radius for city hospitals and most importantly, the scale of the city, in terms of population and area, the approximate coverage area. With an average speed of 50 km/h, approximately equivalent to six minutes of time under the network and using the origin-destination matrix was considered. Because the visitors to the hospital are people who have a disease or movement problem and are not in good general condition, or sometimes they need fast and emergency treatment, driving mode has been used to calculate accessibility. In the two methods of the improved two-stage floating infiltration area and the three-stage floating infiltration area, the six-minute area was divided into three sub-zones (areas) of two, four, and six minutes, so that the blocks that are outside the six-minute area have zero access and within the area to The reason for the existence of three sub-zones and giving proportional weight to them is that accessibility decreases with increasing distance. Here, the supply criterion and in other words capacity, the number of beds in each hospital is considered. These procedures were carried out for all hospitals in the city. Then based on relations 1 to 8, the ratio of supply to demand (available resources) was calculated for each hospital.
 
Conclusion
The results indicate the uneven distribution of hospital use in Zanjan city in 1985 and 1995. In addition, the three methods used also have different results, which is related to the parameters of each method. In 1985, there was a spatial disparity in the distribution of facilities in the whole city, so that according to the three-step method, the old fabric in the city center and the northwestern areas have low accessibility. In 1995, the northern area of the city, due to the high capacity of the hospital established in this area and the presence of several other hospitals in the coverage area of this hospital, has a higher accessibility, but in the south and the center of the city, the old and traditional fabric has caused an inappropriate network and access has reduced Also, in the south and center of the city and parts of the northwest, there is an inequality of access, to compensate for which, a new hospital should be established in these areas or the transportation network should be improved. In measuring access to the third method, the size of access is smaller than the other two methods due to the introduction of competition between facilities, and in fact, it moderates the overestimation of access by other methods. 
 
 

Keywords


  1. Bahraini, H. (1998). Urban design process: Institute of Printing and Publishing. University of Tehran. [In Persian].
  2. Bahraini, H. (1998). Urban Planning and Sustainable Development. Journal od Rahyaft, 7(17), 29-39. [In Persian].
  3. Boyne, G. (2001). Planning, performance and public services. Public administration, Public administration, 79(1), 73-88.
  4. Bryant, Jr J. & Delamater, P. L. (2019). Examination of Spatial Accessibility at Micro-and Macro-Levels Using the Enhanced Two-StepFloating Catchment Area (E2SFCA) Method. Annals of GIS, 25(3), 219-229.
  5. Dadashpoor, H., Rostami, F., & Alizadeh, B. (2014). Analysis of Justice Distribution of Urban Services and the their Spatial Distribution Pattern in Hamadan City. Urban Studies, 3(12), 5-18. [In Persian].
  6. De Oliveira Neto, J.S. (2018). Inclusive Smart Cities: theory and tools to improve the experience of people with disabilities in urban spaces. University Paris Saclay (COmUE); Universidade de São Paulo .
  7. Dony, C. C. Delmelle, E. M. & Delmelle, E. C. (2015). Re-Conceptualizing Accessibility to Parks in Multi-Modal Cities: A Variable-Width Floating Catchment Area (VFCA) Method. Landscape and Urban Planning, 143, 90-99.
  8. Fu, Y. Jing, C. & Du, M. (2017). Measuring Urban Facility Spatial Accessibility in Beijing Using Gaussian 2SFCA Method.
  9. Fyer Jr, G. E. Drisko, J. Krugman, R. D. Vojir, C. P. Prochazka, A. Miyoshi, T. J. & Miller, M. E. (1999). Multi‐Method Assessment of Access to Primary Medical Care in Rural Colorado. The Journal of rural health, 15(1), 113-121.
  10. Ghorbanzadeh, M. Kim, K. Ozguven, E. E. & Horner, M. W. (2021). Spatial Accessibility Assessment of COVID-19 Patients to Healthcare Facilities: A Case Study of Florida. Travel Behaviour and Society, 24, 95-101.
  11. Guagliardo, M. F. (2004). Spatial Accessibility of Primary Care: Concepts, Mmethods and Challenges. International Journal of Health Geographics,3 (1), 1-13.
  12. Hansen, W. G. (1959). How Accessibility Shapes Land use. Journal of the American Institute of planners, 25(2), 73-76.
  13. JafariNia, A. (2019). Social Justice, Spatial Justice and Development. Quarterly of Geography (Regional Planning), 10(1), 298-311. [In Persian]
  14. Jajarmi, K. Kalteh, E. (2007). Measuring the Quality of Life Indices in City According Citizens (Case Study: Gonbad Qabous). Geography and Development Iranian Journal, 4(8), 5-18. [In Persian].
  15. Kanuganti, S. Sarkar, A. & Singh, A. P. (2016). Quantifying Accessibility to Health Care Using Two-step Floating Catchment Area Method (2SFCA): A Case Study in Rajasthan. Transportation Research Procedia, 17, 391-399.
  16. Kayak, S. (2012). Monitoring Urban growth on the European side of the Istanbul metropolitan Area.
  17. Khaksari, A., Masoumifar, A.H., & Assayesh, M. (2021). Analysis of Spatial Justice in Urban Services Provision in Iran. Human Geography Research Quarterly, 53(3), 793-810. [In Persian].
  18. Kunzmann, K. R. (1998). Planning for Spatial Equity in Europe. International planning studies, 3(1), 101-120.
  19. Langford, M. Higgs, G. & Fry, R. (2016). Multi-Modal Two-Step Floating Catchment Area Analysis of Primary Health Care Accessibility. Health & place, 38, 70-81.
  20. Lee, R. C. (1991). Current Approaches to Shortage Area Designation. The Journal of rural health, 7, 437-450.
  21. Liao, C.-H. Chang, H-S. & Tsou, K.-W. (2009). Explore the spatial equity of urban public facility allocation based on sustainable development viewpoint.
  22. Lin, Y. Wan, N. Sheets, S. Gong, X. & Davies, A. (2018). A Multi-Modal Relative Spatial Access Assessment Approach to Measure Spatial Accessibility to Primary CareProviders. International Journal of Health Geographics, 17(1), 1-22.
  23. Luo, W. & 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.
  24. Luo, W. (2004). Using a GIS-Based Floating Catchment Method to Assess Areas with Shortage of Physicians. Health & place, 10(1), 1-11.
  25. Luo, W. Qi, Y. (2009). An Enhanced Two-Step Floating Catchment Area (E2SFCA) Method for Measuring Spatial Accessibility to Primary Care Physicians. Health & place, 15(4), 1100-1107.
  26. Luo, W., & Whippo, T. (2012). Variable Catchment Sizes for the Two-Step Floating Catchment Area (2SFCA) Method. Health & place, 18(4), 789-795.
  27. Ma, L. Luo, N. Wan, T. Hu, C. & Peng, M. (2018). An Improved Healthcare Accessibility Measure Considering the Temporal Dimension and Population Demand of Different Ages. International Journal of Environmental Research and Public Health, 15(11), 2421.
  28. Mahmoudi, S., Jelokhani, M., & Argani, M. (2020). Evaluation of Accessibility to Urban Parks Using Spatial Indicators in Order to Meet the Principles of the Justice-based City (Case Study: District 11 of Tehran). Geographical Urban Planning Research, 8(3), 511-530. [In Persian].
  29. Mao, K. Li, M. Huang, Q. Chen, C. Hu, W. & Chen, D. (2011). Evaluation of Spatial Sccessibility to Town and Rural in a GIS Environment: A Case Study of Dachang County. Paper Presented at the 2011 19th International Conference on Geoinformatics.
  30. Mao, L., & Nekorchuk, D. (2013). Measuring Spatial Accessibility to Healthcare for Populations with Multiple Transportation Modes. Health & place, 24, 115-122.
  31. Mavoa, S. Witten, K. McCreanor, T. & O’sullivan, D. (2012). GIS based Destination Accessibility via Public Transit and Walking in Auckland, New Zealand. Journal of Transport Geography, 20(1), 15-22.
  32. McGrail, M. R. & Humphreys, J. S. (2009a). The Index of Rural Access: An Innovative Integrated Approach for Measuring Primary Care Access. BMC Health Services Research, 9(1), 1-12.
  33. McGrail, M. R. (2012). Spatial Accessibility of Primary Health Care Utilising the Two Step Floating Catchment Area Method: An Assessment of Recent Improvements. International Journal of Health Geographics, 11(1), 1-12.
  34. McGrail, M. R. Humphreys, J. S. (2009b). Measuring Spatial Accessibility to Primary Care in Rural Areas: Improving the Effectiveness of the Two-Step Floating Catchment Area Method. Applied Geography, 29(4), 533-541.
  35. McGrail, M. R. Humphreys, J. S. (2009c). A New Index of Access to Primary Care Services in Rural Areas. Australian and New Zealand Journal of Public Health, 33(5), 418-423.
  36. McLafferty, S. L. (2003). GIS and Health Care. Annual Review of Public Health, 24(1), 25-42.
  37. Moosavi, S., & Jafari, M. (2016).The Role of Detailed Plan in The Planning and Organization of Zanjan City Landuse. Urban Management Studies,7 (24), 1-13. [In Persian].
  38. Mousavi, F. (2012). Modeling the access index on land use change using cell automation. (Master Thesis), Advisor: Alesheikh, K. N. Toosi University of Technology. [In Persian]
  39. Nadiran, N. (2021). Spatial Analysis & Assessment of Urban Public Services during a Medium-term period. (Master Thesis), Advisor: Hosseinali F. Geographic Information Systems, Shahid Rajaee Teacher Training University. [In Persian].
  40. Ni, J. Liang, M. Lin, Y. Wu, Y. & Wang, C. (2019). Multi-Mode Two-Step Floating Catchment Area (2SFCA) Method to Measure the Potential Spatial Accessibility of Healthcare Services. ISPRS International Journal of Geo-Information, 8(5), 236.
  41. Omer, I. (2006). Evaluating Accessibility Using House-Level Data: A Spatial Equity Perspective. Computers. Environment and Urban Systems, 30(3), 254-274.
  42. Parizadi, T., & Rowshangar, S. (2012). Application of Geographic Information System (GIS) in Urban Planning. Scientific-Research Quarterly of Geographical Data (Sepehr), 21(83), 51-57. [In Persian].
  43. Peng, Z.-R. (1997). The Jobs-Housing Balance and Urban Commuting. Urban studies, 34(8), 1215-1235.
  44. Pour-Mohammadi, M.R. (2007). Urban land-use Planning. Tehran: Samt Publications. [In Persian].
  45. Radke, J. Mu, L. (2000). Spatial Decompositions, Modeling and Mapping Service Regions to Predict Access to Social Programs. Geographic Information Sciences, 6(2), 105-112.
  46. Rahnama, M., & Lyth, A. (2006). Analysis of Changing Accessibility Indicator in Metropolitan of Sydney (1991-2001). Geography and Development, 4 (7), 137-154. [In Persian].
  47. Rana, M.S. (2009). Status of Water use Sanitation and Hygienic Condition of Urban slums: A study on Rupsha Ferighat slum, Khulna. Desalination, 246(1-3), 322-328.
  48. Ranga, V. Panda, P. (2014). Spatial Access to Inpatient Health Care in Northern Rural India. Geospatial Health, 8(2), 545-556.
  49. Reilly, W. J. (1931). The Law of Retail Gravitation. New York: W.J. Reilly.
  50. Rekha, R. S. Wajid, S. Radhakrishnan, N. & Mathew, S. (2017). Accessibility Analysis of Health Care Facility Using Geospatial Techniques. Transportation Research Procedia, 27, 1163-1170.
  51. Rezaee, M. & NasiriArali, H. (2019). Accountability of Urben Spaces to the Disabled Person's Needs(Case Study: Ferdowsi Street in Sanandaj). Geographical Urban Planning Research (GUPR), 7 (3), 509-532. [In Persian].
  52. Rosero-Bixby, L. (2004). Spatial Access to Health Care in Costa Rica and its Equity: a GIS-based Study. Social Science & Medicine, 58(7), 1271-1284.
  53. Salonen, M., & Toivonen, T. (2013). Modelling Travel Time in Urban Networks: Comparable Measures for Private Car and Public Transport. Journal of Transport Geography, 31, 143-153.
  54. Sheikhi, A. (2014). Piranshahr Urban Development Strategies with Urban Development Strategy Approach. Master Thesis, Supervisor: Ziari University of Tehran. [In Persian].
  55. Soltani, M. (2003). Investigation of Marginalization and its Organization in Zanjan Case Syudy: Fatemieh Alley. Master Thesis, Tehran Teacher Training University. [In Persian]
  56. Tahmasbizadeh, F., Khademolhosseini, A., & Ghaedrahmati, S. (2019)، Analyzing the Level of Access to Public Services at Neighborhood Scale (Case Study: Neighborhoods of Isfahan). Journal of Geography and regional development, 16 (2), 153-178. [In Persian]
  57. Tahmasebizade, F., & khademolhoseiny, T A. (2018). Spatial analysis of social justice in urban areas (case study of the city of Isfahan). Journal of Geography and Environmental Studies, 7(26), 17-28. [In Persian]
  58. Talen, E. (1997). The Social Equity of Urban Service Distribution: An Exploration of Park Access in Pueblo, Colorado, and Macon, Georgia. Urban geography, 18(6), 521-541.
  59. Tang, J.-H. Chiu, Y.-H. Chiang, P.-H. Su, M.-D. & Chan, T. C. (2017). A Flow-Based Statistical Model Integrating Spatial and Nonspatial Dimensions to Measure Healthcare Access. Health & Place, 47,126-138.
  60. Tsou, K.-W. Hung, Y. T. & Chang, Y.-L. (2005). An Accessibility-Based Integrated Measure of Relative Spatial Equity in Urban Public Facilities. Cities, 22(6), 424-435.
  61. Varesi, H., Zangiabadei, A., & Yaghfoori, H. (2008). A Comparative study of Public Utilities Distribution from a Social Justice Perspective (A Case study: Zahedan). Geography and Development Iranian Journal, 6(11), 139-156. [In Persian].
  62. Wan, N. Zhan, F. B. Zou, B. & Chow, E. (2012a). A Relative Spatial Access Assessment Approach for Analyzing Potential Spatial Access to Colorectal Cancer Services in Texas. Applied Geography, 32(2), 291-299.
  63. Wan, N. Zou, B. & Sternberg, T. (2012b). A Three-Step Floating Catchment Area Method for Analyzing Spatial Accessto Health Services. International Journal of Geographical Information Science, 26(6), 1073-1089.
  64. Wang, C. (2016). The Impact of Car Ownership and Public Transport Usage on Cancer Screening Coverage: Empirical Evidence Using a Spatial Analysis in England. Journal of Transport Geography, 56, 15-22.
  65. Wang, F., & Minor, W. W. (2002). Where the Jobs Are: Employment Access and Crime Patterns in Cleveland. Annals of the Association of American Geographers, 92(3), 435-450.
  66. Widener, M. J. Farber, S. Neutens, T& Horner, M. (2015). Spatiotemporal Accessibility to Supermarkets Using Public Transit: An Interaction Potential Approach in Cincinnati, Ohio. Journal of Transport Geography, 42, 72-83.
  67. Xing, L. Liu, Y. Wang, B. Wang, Y. & Liu, H. (2020). An Environmental Justice Study on Spatial Access to Parks for Youth by Using an Improved 2SFCA Method in Wuhan, China. Cities, 96, 102405.
  68. Xu, M. Xin, J. Su, S. Weng, M. & Cai, Z. (2017). Social Inequalities of Park Accessibility in Shenzhen, China: The Roleof Park Quality, Transport Modes, and Hierarchical Socioeconomic Characteristics. Journal of Transport Geography, 62, 38-50.
  69. Yang, D.-H. Goerge, R. & Mullner, R. (2006). Comparing GIS-based Methods of Measuring Spatial Accessibility to Health Services. Journal of Medical Systems, 30(1), 23-32.
  70. 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), 229.
  71. Ziari, K. (2002). Urban Land use Planning. Yazd: Yazd University. [In Persian].