Geographic Information Systems (GIS) Based Accessibility Modeling Approach in Micro Scale Considering Physically Disabled Users: Case Study of Mimar Muzaffer Campus, Selcuk University
DOI:
https://doi.org/10.15320/ICONARP.2018.50Keywords:
Accessibility modeling, physically disabled users, physical obstacles / barriers / transitions, micro scale (street, human, neighborhood scales)Abstract
The concept of physical accessibility refers to the availability, capability, comfort, convenience of transportation processes considering different urban obstacles / barriers and costs. In this context, there are many approaches for the measurement and evaluation of physical accessibility in the literature which are used extensively as a decision support especially in transportation, geography and city and regional planning related disciplines.
Although there are large number of modeling approaches on physical accessibility modeling in macro scales (such as national, regional, city and town scales), the research on physical accessibility modeling, in micro scales (such as street, human, neighborhood scales), which could consider all the details of the perceived space seem to be extremely limited.
This study, which emerged from this lack of accessibility modeling literature, proposes a GIS-supported methodology to demonstrate how physical obstacles / barriers such as “buildings, landscape areas, walls, steps, stairs, pits, unfitted street furniture, other (garbage, rubbles, trees etc. that prevent access) etc.” and transitions such as “ramps with appropriate slope, elevators and/or “removing walls / steps” could be defined in GIS environment and how access and circulation in (outdoor) urban space could be modeled considering these physical obstacles / barriers and transitions especially taking physically disabled users (users using wheelchair, bicycle, baby's car, market car etc.) into consideration in the micro scale.
The proposed accessibility modeling methodology is conducted at Selçuk University, Faculty of Architecture, Mimar Muzaffer Campus Area. A polyline-based spatial GIS database has been developed to demonstrate how physical barriers and transitions could be modeled in micro scale in GIS environment in order to evaluate physical accessibility. The results of the study could provide an accessibility based decision support environment by visualizing and presenting how physical obstacles in urban space prevent physically disabled users from access and circulation and how the elimination or removal of these physical obstacles and creation of transitions will create a difference in access and circulation for the users in a comparable manner especially in micro scale.
This study is thought to make a significant contribution to increase accessibility levels of physically disabled users (users using wheelchair, bicycle, baby's car, market car etc.) in the outdoor urban areas in terms of demonstrating their accessibility and circulation capabilities.
The first primitive experimental model related with this research was carried out with the participants of the accessibility measurement and modeling session at the 3rd National Disability Workshop which is held in Selcuk University, Mimar Muzaffer Campus dated 2-3 May 2018.
Metrics
References
Bagheri, N., Benwell, G. L., Holt, A., (2006), Primary health care accessibility for rural Otago: ‘‘a spatial analysis’’, Health Care & Informatics, Review Online
Bauer, J., Muller, P., Maier, W., & Groneberg, D. A. (2017). Orthopedic workforce planning in Germany - an analysis of orthopedic accessibility. Plos One, 12(2). doi:ARTN e017174710.1371/journal.pone.0171747
Black M., Ebener, S., Vidaurre, M., Aguilar, P. N., El Morjani, Z., (2004), Using GIS to Measure Physical Accessibility to Health Care, Health GIS Conference Proceedings, International ESRI User Conference, San Diego
Boulos, M. N., Roudsari, A. V., Carson, E. R., (2001), Health Geomatics: An Enabling Suite of Technologies in Health and Healthcare, Journal of Biomedical Informatics, Volume 34, Issue 3, June 2001, Pages 195-219, (Published: 22 September 2006)
Brabyn L., Skelly C., (2002), Modeling population access to New Zealand public hospitals International Journal of Health Geography, volume 1, page 1: 3, Published online 2002 November 12. DOI: 10.1186/1476-072X-1-3
Chapelet P., Lefebvre B., (2005), Contextualizing the Urban Healthcare System. Methodology for developing a geodatabase of Delhi's healthcare system, CSH Occasional Paper N°11, Publication of the French Research Institutes in India, Rajdhani Art Press, New Delhi (135 pages)
Chen, Q., (2000) Measuring Accessibility in GIS, http://mather.ar.utexas.edu/students/cadlab/ chen/measuring_accessibility_in_gis.htm
Cheng, G., Zeng, X. K., Duan, L., Lu, X. P., Sun, H. C., Jiang, T., & Li, Y. L. (2016). Spatial difference analysis for accessibility to high level hospitals based on travel time in Shenzhen, China. Habitat International, 53, 485-494. doi:10.1016/j.habitatint.2015.12.023
Cheng, J. Q., Bertolini, L., le Clercq, F., & Kapoen, L. (2013). Understanding urban networks: Comparing a node-, a density- and an accessibility-based view. Cities, 31, 165-176. doi:10.1016/j.cities.2012.04.005
Delamater, P. L. (2018). Comment on "A Conceptual Framework for Quality Healthcare Accessibility: a Scalable Approach for Big Data Technologies". Information Systems Frontiers, 20(2), 303-309. doi:10.1007/s10796-018-9829-8
Delso, J., Martin, B., Ortega, E., & Otero, I. (2017). A Model for Assessing Pedestrian Corridors. Application to Vitoria-Gasteiz City (Spain). Sustainability, 9(3). doi:ARTN 43410.3390/su9030434
Ebener, S., El Morjani, Z., Ray, N., Black, M., (2005), Physical Accessibility to health care: From Isotropy to Anisotropy, The Global Geospatial Magazine, GIS@development
Fortney, J., Rost, K., and Warren, J., (2000), Comparing Alternative Methods of Measuring Geographic Access to Health Services, Journal Health Services and Outcomes Research Methodology, springer, Volume 1, Number 2 / June, 2000, p: 173-184
Gallego, J. A. G., Nieto, R. B., Labrador, E. E. R., Cabanillas, F. J. J., & Jeong, J. S. (2014). An Accessibility Analysis to the City Bus Stops in Merida (Spain). Boletin De La Asociacion De Geografos Espanoles(64), 249-+.
Ghio, C., Mark L., Abdulkadir, N., Ahmed, A., (2007), Health GIS Tools and applications informing decisions in Yemen, Geospatial Application Papers, http://www.gisdevelopment.net/application/ health/overview/ me05_012a.htm
Gibin, M., Longley, P., & Atkinson, P., (2007), Kernel density estimation and percent volume contours in general practice catchment area analysis in urban areas, In Proceedings of the GIScience research UK conference (GISRUK), Ireland: Maynooth
Goulias, K. G., (2007), An Optimal Resource Allocation Tool for Urban Development Using GIS-based Accessibility Measures and Stochastic Frontier Analysis, University of California, Santa Barbara California PATH Research Report, UCB-ITS-PRR-2007-7
Guagliardo, M. F., (2004), Spatial accessibility of primary care: concepts, methods and Challenges, International Journal of Health Geographics 2004, 3:3
Halden, D., Mcguigan, D., Nisbet, A., Mckinnon, A., (2000) Guidance On Accessibility Measuring Techniques And Their Application, Scottish Executive Central Research Unit, ISBN: 1842680013
Higgs, G., Zahnow, R., Corcoran, J., Langford, M., & Fry, R. (2017). Modelling spatial access to General Practitioner surgeries: Does public transport availability matter? Journal of Transport & Health, 6, 143-154. doi:10.1016/j.jth.2017.05.361
Joseph, P. M., Ashton, M. S., Richard, E. G., Pariwate, V.,
Mark, J. F., (2006), Evaluating Michigan's community hospital access: spatial methods for decision support, International Journal of Health Geographics 2006, p: 5-42
Juliao, R. P., (1999) Measuring Accessibility Using Gis Geo-computation-99 Conference, Mary Washington College, Virginia, USA
Kuntay, O., (1976a), Planlama Kontrol Aracı Olarak Fiziksel Erişilebilirlik Ve Çekim Gücü, Şehircilik Enstitüsü Dergisi, İTÜ, İstanbul, p: 33-47,
Kuntay, O., (1990), Erişilebilirlik Kesin Bir Öncelik, Planlama Dergisi (Journal of the Chamber of City Planners), 90/1-2, 7 (in Turkish)
Kwan, M. P. (1998), Space-time and integral measures of individual accessibility: a comparative analysis using a point-based framework, Geographical Analysis, 30, p: 191-216
Langford, M., Fry, R., & Higgs, G. (2012). Measuring transit system accessibility using a modified two-step floating catchment technique. International Journal of Geographical Information Science, 26(2), 193-214. doi:10.1080/13658816.2011.574140
Langford, M., Higgs, G., & Fry, R. (2012). Using floating catchment analysis (FCA) techniques to examine intra-urban variations in accessibility to public transport opportunities: the example of Cardiff, Wales. Journal of Transport Geography, 25, 1-14. doi:10.1016/j.jtrangeo.2012.06.014
Liang, H. L., & Zhang, Q. P. (2018). Assessing the public transport service to urban parks on the basis of spatial accessibility for citizens in the compact megacity of Shanghai, China. Urban Studies, 55(9), 1983-1999. doi:10.1177/0042098017705846
Luo, W., (2004), Using a GIS-based floating catchment method to assess areas with shortage of physicians, Health and Place, 10, p: 1-11
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, volume 30, p: 865- 884
Makrí, M. B., (2002), Accessibility indices and planning theory, Eighth International Conference on Urban Transport and the Environment for the 21st Century, Urban Transport VIII, p: 37-46
Matthew R., McGrail, J., Humphreys, S., (2009), Measuring spatial accessibility to primary care in rural areas: Improving the effectiveness of the two-step floating catchment area method, Applied Geography, 29, p: 533-541
Mitchel, L., Gary, H., Jonathan R., Sean W., (2008), Urban Population Distribution Models and Service Accessibility Estimation, Computers, Environment And Urban Systems, 32, p: 66-80
Nadine, S., Robert S. F., Stefan C. W. G., Darrin, G., (2006), Defining rational hospital catchments for non-urban areas based on travel-time, International Journal of Health Geographics, p: 5-43
Nieves, J. J. (2015). Combining Transportation Network Models with Kernel Density Methods to Measure the Relative Spatial Accessibility of Pediatric Primary Care Services in Jefferson County, Kentucky. International Journal of Applied Geospatial Research, 6(3), 39-57. doi:10.4018/ijagr.2015070103
O'Sullivan, D., Alastair, M., John, S., (2000), Using desktop GIS for the investigation of accessibility by public transport: An isochrone approach, International Journal of Geographical Information Science, Vol. 14, No1, p: 85-104
Radke, J., Mu, L., (2000), Spatial Decompositions, Modeling and Mapping Service Regions To Predict Access To Social Programs, Geographic Information Sciences, Vol. 6, No. 2
Saghapour, T., Moridpour, S., & Thompson, R. G. (2017). Measuring cycling accessibility in metropolitan areas. International Journal of Sustainable Transportation, 11(5), 381-394. doi:10.1080/15568318.2016.1262927
Scott, J., Larson, A., Jefferies, F. and Veenendaal, B., (2006), Small-area estimates of general practice workforce shortage in rural and remote Western Australia, Australian Journal of Rural Health, Volume 14, Issue 5, published Online: 10 Oct 2006, p: 209-213
Sylvie, D., (2007), Gis-Based Accessibility Analysis For Network Optimal Location Model, Article 407, Cybergeo, Systems, Modelisation Geostatistiques
Vadrevu, L., & Kanjilal, B. (2016). Measuring spatial equity and access to maternal health services using enhanced two step floating catchment area method (E2SFCA) - a case study of the Indian Sundarbans. International Journal for Equity in Health, 15. doi:ARTN 8710.1186/s12939-016-0376-y
Xu, K. S., & Cui, W. G. (2012). A GIS-Based Assessment of Spatial Accessibility to County Hospitals: A Case Study of Dancheng County, China. Information and Business Intelligence, Pt Ii, 268, 454-460.
Downloads
Published
How to Cite
Issue
Section
License
COPYRIGHT POLICY
1. The International Journal of Architecture and Planning (ICONARP) open access articles are licensed under a Creative Commons Attribution-NonCommercial-NoDeriatives 4.0 International (CC BY-NC-ND 4.0). This license lets the author to share (copy and redistribute) his/her article in any medium or format.
2. ICONARP cannot revoke these freedoms as long as you follow the license terms. Under the following terms:
The author must give appropriate credit, provide a link to ICONARP, and indicate if changes were made on the article. The author may do so in any reasonable manner, but not in any way that suggests the ICONARP endorses the author or his/her use.
The author may not use the article for commercial purposes.
If the author remix, transform, or build upon the article, s/he may not distribute the modified material.
The author may share print or electronic copies of the Article with colleagues.
The author may use the Article within his/her employer’s institution or company for educational or research purposes, including use in course packs.
3. The author authorizes the International Journal of Architecture and Planning (ICONARP) to exclusively publish online his/her Article, and to post his/her biography at the end of the article, and to use the articles.
4. The author agrees to the International Journal of Architecture and Planning (ICONARP) using any images from the Article on the cover of the Journal, and in any marketing material.
5. As the author, copyright in the Article remains in his/her name.
6. All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal.