Discovering the Relationship Between the Accessibility and Covid 19 Using Analytic Hierarchy Process (AHP) Case Study Bukit Bintang, Kuala Lumpur
DOI:
https://doi.org/10.54536/ajaset.v6i3.962Keywords:
Accessibility, Analytic Hierarchy Process (AHP), COVID-19, Geographic Information System (GIS)Abstract
People are more likely to meet and connect when there is a high concentration of amenities within easy travelling distance. In this way, we argue that accessibility is a proxy for various characteristics associated with social interaction and that environments with greater accessibility promote greater social interaction, leading to higher contagion rates for some contagious diseases like COVID-19. Three criteria have been proposed to evaluate availability: Diversity, proximity, and connectivity. The three criteria were analyzed using a geographic information system (GIS). One of the multi-criteria analyses, the Analytic Hierarchy Process (AHP), was used to establish the defensible space zones according to the accessibility criteria. Results were verified by comparing them to cases of covid-19 in the Bukit Bintang area. The zones that reported the most Covid incidences were found to cross over non-defensive (easy to access) zones. Because of this, we can conclude that easier access contributed to the rise in reported cases of COVID.
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Arifwidodo, S. D. (2012). Exploring the effect of compact development policy to urban quality of life in Bandung, Indonesia. City, Culture and Society, 3(4), 303–311. https://doi.org/10.1016/J.CCS.2012.11.007
Berke, E. M., Koepsell, T. D., Moudon, A. V., Hoskins, R. E., & Larson, E. B. (2007). Association of the Built Environment With Physical Activity and Obesity in Older Persons. American Journal of Public Health, 97(3), 486. https://doi.org/10.2105/AJPH.2006.085837
Berrigan, D., Pickle, L. W., & Dill, J. (2010). Associations between street connectivity and active transportation. International Journal of Health Geographics, 9(1), 1–18. https://doi.org/10.1186/1476-072X-9-20/FIGURES/4
Bhat, C. R., & Gossen, R. (2004). A mixed multinomial logit model analysis of weekend recreational episode type choice. Transportation Research Part B: Methodological, 38(9), 767–787. https://doi.org/10.1016/J.TRB.2003.10.003
Bhatta, B. (2011). Remote sensing and GIS (2nd ed.). Oxford University Press.
Brown, T. S., Engø-Monsen, K., Kiang, M. V., Mahmud, A. S., Maude, R. J., & Buckee, C. O. (2021). The impact of mobility network properties on predicted epidemic dynamics in Dhaka and Bangkok. Epidemics, 35(January), 100441. https://doi.org/10.1016/j.epidem.2021.100441
Chen, Y., Jiao, J., Bai, S., & Lindquist, J. (2020). Modeling the Spatial Factors of COVID-19 in New York City. SSRN Electronic Journal. https://doi.org/10.2139/SSRN.3606719
Cheng, E. W. l., li, H., & ho, D. C. k. (2002). Analytic hierarchy process (AHP): A defective tool when used improperly. Measuring Business Excellence, 6(4), 33–37. https://doi.org/10.1108/13683040210451697/FULL/PDF
Curran, A. S., Grant, J. G., & Wood, M. (2007). Indicators for Community Action: Built Environment and Community Health. Journal of Rural and Community Development, 2, 59–74.
Dalvi, M. Q. (1978). Behavioural Modelling, Accessibility, Mobility and Need: Concepts and Measurement *. In Behavioural Travel Modelling. Routledge. https://doi.org/10.4324/9781003156055-38
Darko, A., Chan, A. P. C., Ameyaw, E. E., Owusu, E. K., Pärn, E., & Edwards, D. J. (2019). Review of application of analytic hierarchy process (AHP) in construction. International Journal of Construction Management, 19(5), 436–452. https://doi.org/10.1080/15623599.2018.1452098
Dobesova, Z., & Krivk, T. (2012). Walkability Index in the Urban Planning: A Case Study in Olomouc City. Advances in Spatial Planning.
Doloi, H. (2008). Application of AHP in improving construction productivity from a management perspective. Construction Management and Economics, 26(8), 841–854. https://doi.org/10.1080/01446190802244789
Draft Structure Plan Kuala Lumpur. (2020). City Hall Kuala Lumpur. Draft Structure Plan Kuala Lumpur.
Feng, J., Glass, T. A., Curriero, F. C., Stewart, W. F., & Schwartz, B. S. (2010). The built environment and obesity: a systematic review of the epidemiologic evidence. Health & Place, 16(2), 175–190. https://doi.org/10.1016/J.HEALTHPLACE.2009.09.008
Forsyth, A., Schmitz, K. H., Oakes, M., Zimmerman, J., & Koepp, J. (2006). Standards for Environmental Measurement Using GIS: Toward a Protocol for Protocols. Journal of Physical Activity & Health, 3(1), S241–S257. https://doi.org/10.1123/JPAH.3.S1.S241
Frank, L. D., Devlin, A., Johnstone, S., & Van Loon, J. (2010). Neighbourhood Design, Travel, and Health in Metro Vancouver: Using a walkability index-executive summary. University of British Columbia.
Goepel, K. D. (2013, June). Implementing the Analytic Hierarchy Process as a Standard Method for Multi-Criteria Decision Making in Corporate Enterprises – a New AHP Excel Template with Multiple Inputs. Proceedings of the International Symposium on the Analytic Hierarchy Process. https://doi.org/10.13033/ISAHP.Y2013.047
Golden, B. L., Wasil, E. A., & Harker, P. T. (1989). The Analytic Hierarchy Process. In The Analytic Hierarchy Process. Springer Verlag. https://doi.org/10.1007/978-3-642-50244-6
Huang, J., Kwan, M. P., Kan, Z., Wong, M. S., Kwok, C. Y. T., & Yu, X. (2020). Investigating the Relationship between the Built Environment and Relative Risk of COVID-19 in Hong Kong. ISPRS International Journal of Geo-Information, 9(11), 624. https://doi.org/10.3390/IJGI9110624
Johnston, R. J., Gregory, D., Smith, D. M., Haggett, P., & Stoddart, D. R. (1986). The Dictionary of human geography. Blackwell Reference.
Krizek, K. J., & Johnson, P. J. (2007). Proximity to Trails and Retail: Effects on Urban Cycling and Walking. Journal of the American Planning Association , 72(1), 33–42. https://doi.org/10.1080/01944360608976722
Lovasi, G. S., Moudon, A. V., Pearson, A. L., Hurvitz, P. M., Larson, E. B., Siscovick, D. S., Berke, E. M., Lumley, T., & Psaty, B. M. (2008). Using built environment characteristics to predict walking for exercise. International Journal of Health Geographics, 7. https://doi.org/10.1186/1476-072X-7-10
Malymail. (2020). Now facing third wave, Dr Noor Hisham urges Malaysians to stay home as best way to flatten Covid-19 curve | Malay Mail.
Manaugh, K., & Kreider, T. (2013). What is mixed use? Presenting an interaction method for measuring land use mix. Journal of Transport and Land Use, 6(1), 63–72. https://doi.org/10.5198/JTLU.V6I1.291
Mavoa, S., Boulangé, C., Eagleson, S., Stewart, J., Badland, H. M., Giles-Corti, B., & Gunn, L. (2018). Identifying appropriate land-use mix measures for use in a national walkability index. The Journal of Transportation and Land Use, 11(1), 681–700.
MOH. (2021). National CPRC COVID-19 Monitoring system. MOH.
Pelletier, A., Paquin, S., Chartr, A., Pelletier, C. A., & Qc, M. (2009, December). Article walk 21 2009-11-07 1 Are all walking audits equivalent? A comparison of three walking audits in a Montreal neighbourhood. CORE.
Qwasmi, R., Abdullah, A. Bin, Asmawi, Z. bt, & Mohd Noor, N. (2022). Impact of Human Mobility of COVID-19 Epidemic in Kuala Lumpur using GIS. American Journal of Agricultural Science, Engineering, and Technology, 6(2), 25–36. https://doi.org/10.54536/AJASET.V6I2.441
Ritsema van Eck, J., & Koomen, E. (2007). Characterising urban concentration and land-use diversity in simulations of future land use. The Annals of Regional Science, 42(1), 123–140. https://doi.org/10.1007/S00168-007-0141-7
Robitaille, É. (2009). Indicateurs géographiques de l’environnement bâti et de l’environnement des services influant sur l’activité physique, l’alimentation et le poids corporel.
Ryan, S., & Nimick, E. (2019, August). Ellis. Multi-Criteria Decision Analysis and GIS.
Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resource allocation. In Priority Setting. Resource Allocation, MacGraw-Hill, New York International Book Company (1st ed.). McGraw-Hill International Book Co.
Şener, Ş., Sener, E., & Karagüzel, R. (2011). Solid waste disposal site selection with GIS and AHP methodology: a case study in Senirkent-Uluborlu (Isparta) Basin, Turkey. Environmental Monitoring and Assessment, 173(1–4), 533–554. https://doi.org/10.1007/S10661-010-1403-X
Song, Y., & Knaap, G. J. (2004). Measuring Urban Form: Is Portland Winning the War on Sprawl? Journal of the American Planning Association, 70(2), 210–225. https://doi.org/10.1080/01944360408976371
Tomalty, R., Haider, M., & Smart Growth British Columbia. (2009). BC sprawl report : walkability and health. 57.
Tucker, P., Irwin, J. D., Gilliland, J., He, M., Larsen, K., & Hess, P. (2009). Environmental influences on physical activity levels in youth. Health & Place, 15(1), 357–363. https://doi.org/10.1016/J.HEALTHPLACE.2008.07.001
Vargo, J., Stone, B., & Glanz, K. (2012). Google walkability: a new tool for local planning and public health research? Journal of Physical Activity & Health, 9(5), 689–697. https://doi.org/10.1123/JPAH.9.5.689
Zheng, Z., Xie, Z., Qin, Y., Wang, K., Yu, Y., & Fu, P. (2021). Exploring the influence of human mobility factors and spread prediction on early COVID-19 in the USA. BMC Public Health, 21(1). https://doi.org/10.1186/S12889-021-10682-3
Ziaul, S., & Pal, S. (2017). Estimating wetland insecurity index for Chatra wetland adjacent English Bazar Municipality of West Bengal. Spatial Information Research, 25(6), 813–823. https://doi.org/10.1007/S41324-017-0147-X
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Copyright (c) 2023 Ramzi Qwasmi, Alias bin Abdullah , Norzailawati Mohd Noor, Zainora bt. Asmawi
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