Travel Demand Modeling for Emergency Trips In The Context of a Developing Mega City

Fahim, Sakib Shahrior; Ibnat, Atkia; Hasan, Md. Wahid; Prova, Nafisa Binte Farid

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dc.contributor.author	Fahim, Sakib Shahrior
dc.contributor.author	Ibnat, Atkia
dc.contributor.author	Hasan, Md. Wahid
dc.contributor.author	Prova, Nafisa Binte Farid
dc.date.accessioned	2024-06-07T05:41:36Z
dc.date.available	2024-06-07T05:41:36Z
dc.date.issued	2023-05-30
dc.identifier.citation	Abdel-Aal, M. M. M. (2014). Calibrating a trip distribution gravity model stratified by the trip purposes for the city of Alexandria. Alexandria Engineering Journal, 53(3), 677– 689. https://doi.org/10.1016/j.aej.2014.04.006 Al-Shaqsi, S. (2010). Models of international emergency medical service (EMS) systems. Oman Medical Journal, 25(4), 320–323. https://doi.org/10.5001/omj.2010.92 Ali, M., Miyoshi, C., & Ushijima, H. (2006). Emergency medical services in Islamabad, Pakistan: A public-private partnership. Public Health, 120(1), 50–57. https://doi.org/10.1016/j.puhe.2005.03.009 Anthony, D. R. (2011). Promoting emergency medical care systems in the developing world: Weighing the costs. Global Public Health, 6(8), 906–913. https://doi.org/10.1080/17441692.2010.535008 Bhadoria, R. K., Saha, J., Biswas, S., & Chowdhury, C. (2020). IoT-based location-aware smart healthcare framework with user mobility support in normal and emergency scenario: A comprehensive survey. In Healthcare Paradigms in the Internet of Things Ecosystem. Elsevier Inc. https://doi.org/10.1016/B978-0-12-819664-9.00007-7 Bhandari, D., & Yadav, N. K. (2020). Developing an integrated emergency medical services in a low-income country like Nepal: A concept paper. International Journal of Emergency Medicine, 13(1), 1–5. https://doi.org/10.1186/s12245-020-0268-1 Boutilier, J. J., & Chan, T. C. Y. (2020). Ambulance emergency response optimization in developing countries. Operations Research, 68(5), 1315–1334. https://doi.org/10.1287/opre.2019.1969 Brotcorne, L., Laporte, G., & Semet, F. (2003). Ambulance location and relocation models. European Journal of Operational Research, 147(3), 451–463. https://doi.org/10.1016/S0377-2217(02)00364-8 57 Celik, H. M. (2010). Sample size needed for calibrating trip distribution and behavior of the gravity model. Journal of Transport Geography, 18(1), 183–190. https://doi.org/10.1016/j.jtrangeo.2009.05.013 Chen, H. A., Hsu, S. T., Hsieh, M. J., Sim, S. S., Chu, S. E., Yang, W. S., Chien, Y. C., Wang, Y. C., Lee, B. C., Huang, E. P. C., Lin, H. Y., Ma, M. H. M., Chiang, W. C., & Sun, J. T. (2022). Influence of advanced life support response time on out-of-hospital cardiac arrest patient outcomes in Taipei. PLoS ONE, 17(4 April). https://doi.org/10.1371/journal.pone.0266969 Delegate Lacey Putney Vice-Chairman Senator Thomas K Norment, C. E., Delegate Vincent Callahan, J. F., Senator John Chichester Senator Charles J Colgan Delegate M Kirkland Cox Delegate H Morgan Griffith Delegate Frank D Hargrove, J. H., Delegate Johnny Joannou Delegate Dwight C Jones Delegate Harry J Parrish Senator Walter A Stosch Delegate Leo C Wardrup, S. S., Senator Martin Williams Walter J Kucharski, J. E., & of Public Accounts Director Philip Leone, A. A. (2004). Members of the Joint Legislative Audit and Review Commission. Dumka, A., & Sah, A. (2020). Smart ambulance traffic management system (SATMS)—a support for wearable and implantable medical devices. In Wearable and Implantable Medical Devices. Elsevier Inc. https://doi.org/10.1016/b978-0-12-815369-7.00009-4 Easa, S. M. (n.d.). URBAN TRIP DISTRIBUTION IN PRACTICE. I: CONVENTIONAL ANALYSIS. Geefhuysen, C. J., Isa, A. R., Hashim, M., & Barnes, A. (1998). Malaysian antenatal risk coding and the outcome of pregnancy. Journal of Obstetrics and Gynaecology Research, 24(1), 13–20. https://doi.org/10.1111/j.1447-0756.1998.tb00046.x Goncalves, M. B. (1993). The development of a new gravity-opportunity model for trip distribution. In Environment and Planning A (Vol. 25). Gouuas, K. G., Pendyala, R. M., & Kitamura, R. (n.d.). Practical Method for the Estimation of Trip Generation and Trip Chaining. Hashemi, S. E., Jabbari, M., & Yaghoubi, P. (2022). A mathematical optimization model for location Emergency Medical Service (EMS) centers using contour lines. Healthcare 58 Analytics, 2(January), 100026. https://doi.org/10.1016/j.health.2022.100026 Hatami-Marbini, A., Varzgani, N., Sajadi, S. M., & Kamali, A. (2022). An emergency medical services system design using mathematical modeling and simulation-based optimization approaches. Decision Analytics Journal, 3(May), 100059. https://doi.org/10.1016/j.dajour.2022.100059 Kobs, G. D. J., & Sayer, I. (n.d.). ROAD ACCIDENTS IN DEVELOPING COLJNTRIES’. Kobusingye, O. C. (2005). Policy and Practice Emergency medical systems in low-and middle-income countries. In Bulletin of the World Health Organization (Vol. 83, Issue 8). Levine, A. C., Becker, J., Lippert, S., Rosborough, S., Arnold, K., Foran, M., Goel, A., Keay, C. R., Tebb, Z. D., Lay, C., Bosson, N., Bryant, W. K., Melnick, E. R., Hammerstedt, H. S., Nielson, J. A., Blake, M., Khaleghi, M., Chicharoen, N., & Gupta, V. (2008). International emergency medicine: A review of the literature from 2007. In Academic Emergency Medicine (Vol. 15, Issue 9, pp. 860–865). Blackwell Publishing Ltd. https://doi.org/10.1111/j.1553-2712.2008.00222.x Liu, Y., Yuan, Y., Shen, J., & Gao, W. (2021). Emergency response facility location in transportation networks: A literature review. Journal of Traffic and Transportation Engineering (English Edition), 8(2), 153–169. https://doi.org/10.1016/j.jtte.2021.03.001 Maghfiroh, M. F. N., Hossain, M., & Hanaoka, S. (2017). Minimising emergency response time of ambulances through pre-positioning in Dhaka city, Bangladesh. International Journal of Logistics Research and Applications, 21(1), 53–71. https://doi.org/10.1080/13675567.2017.1361390 Meskin, S., Huyler, F., Gupta, S. K., & Berger, L. (1997). Delivery of emergency medical services in Kathmandu, Nepal. Annals of Emergency Medicine, 29(3), 409–414. https://doi.org/10.1016/S0196-0644(97)70355-X Ong, M. E., Cho, J., Ma, M. H. M., Tanaka, H., Nishiuchi, T., Al Sakaf, O., Abdul Karim, S., Khunkhlai, N., Atilla, R., Lin, C. H., Shahidah, N., Lie, D., & Shin, S. Do. (2013). Comparison of emergency medical services systems in the pan-Asian resuscitation 59 outcomes study countries: Report from a literature review and survey. EMA - Emergency Medicine Australasia, 25(1), 55–63. https://doi.org/10.1111/1742- 6723.12032 Page, C., Sbat, M., Vazquez, K., Yalcin, Z. D., & Fofana, M. S. (2013). Analysis of Emergency Medical Systems Across the World. Worcester Polytechnic Institute, 104. PREPUBLICATION COPY: UNCORRECTED PROOFS Emergency Medical Services At the Crossroads. (2006). http://www.nap.edu. Rahman, N. H., Tanaka, H., Shin, S. Do, Ng, Y. Y., Piyasuwankul, T., Lin, C. H., & Ong, M. E. H. (2015). Emergency medical services key performance measurement in Asian cities. International Journal of Emergency Medicine, 8(1), 4–9. https://doi.org/10.1186/s12245-015-0062-7 Ranjbar, M. (2011). Pre-Hospital Emergency Medical Services in Developing Countries: A Case Study about EMS Response Time in Yazd, Iran. In Article in Iranian Red Crescent Medical Journal. https://www.researchgate.net/publication/228072217 Razzak, J. A., & Kellermann, A. L. (n.d.). Emergency medical care in developing countries: is it worthwhile? Razzak, J. A., & Kellermann, A. L. (2002). Emergency medical care in developing countries: Is it worthwhile? Bulletin of the World Health Organization, 80(11), 900–905. Roudsari, B. S., Nathens, A. B., Arreola-Risa, C., Cameron, P., Civil, I., Grigoriou, G., Gruen, R. L., Koepsell, T. D., Lecky, F. E., Lefering, R. L., Liberman, M., Mock, C. N., Oestern, H. J., Petridou, E., Schildhauer, T. A., Waydhas, C., Zargar, M., & Rivara, F. P. (2007a). Emergency Medical Service (EMS) systems in developed and developing countries. Injury, 38(9), 1001–1013. https://doi.org/10.1016/j.injury.2007.04.008 Roudsari, B. S., Nathens, A. B., Arreola-Risa, C., Cameron, P., Civil, I., Grigoriou, G., Gruen, R. L., Koepsell, T. D., Lecky, F. E., Lefering, R. L., Liberman, M., Mock, C. N., Oestern, H. J., Petridou, E., Schildhauer, T. A., Waydhas, C., Zargar, M., & Rivara, F. P. (2007b). Emergency Medical Service (EMS) systems in developed and developing countries. Injury, 38(9), 1001–1013. 60 https://doi.org/10.1016/j.injury.2007.04.008 Samai, O., & Sengeh, P. (1997). Facilitating emergency obstetric care through transportation and communication, Bo, Sierra Leone. International Journal of Gynecology and Obstetrics, 59(SUPPL. 2). https://doi.org/10.1016/S0020-7292(97)00161-6 SASKATCHEWAN EMERGENCY MEDICAL SERVICES (EMS) REVIEW Final Report. (2009). Schmid, T. (n.d.). About the Authors. Singh, S. K. (2017). Road Traffic Accidents in India: Issues and Challenges. Transportation Research Procedia, 25, 4708–4719. https://doi.org/10.1016/j.trpro.2017.05.484 Sodemann,’, M., Jakobsen, M. S., M0ibak, K., Alvarenga, I. C., & Aaby4, & P. (1997). High mortality despite good care-seeking behaviour: a community study of childhood deaths in Guinea-Bissau. Solagberu, B., Ofoegbu, C., Nasir, A., Ogundipe, K., Adekanye, A., & Abdur-Rahman, L. (2009). Prehospital care in a country without organized medical emergency services. Nigerian Journal of Clinical Practice, 12(1), 29–33. Sun, K. M., Song, K. J., Shin, S. Do, Tanaka, H., Shaun, G. E., Chiang, W. C., Kajino, K., Jamaluddin, S. F., Kimura, A., Ro, Y. S., Wi, D. H., Park, J. O., Moon, S. W., Jung, Y. H., Kim, M. J., & Holmes, J. F. (2017). Comparison of Emergency Medical Services and Trauma Care Systems Among Pan-Asian Countries: An International, Multicenter, Population-Based Survey. Prehospital Emergency Care, 21(2), 242– 251. https://doi.org/10.1080/10903127.2016.1241325 Takedomi, S., Ishigaki, T., Hanatsuka, Y., & Mori, T. (2022). Facility location optimization with pMP modeling incorporating waiting time prediction function for emergency road services. Computers and Industrial Engineering, 164, 107859. https://doi.org/10.1016/j.cie.2021.107859 Talukder, M., & Rob, U. (2010). Equity in access to maternal and child health services in five developing countries: What works. International Quarterly of Community Health Education, 31(2), 119–131. https://doi.org/10.2190/IQ.31.2.b 61 Thomson, N. (2005). Emergency medical services in Zimbabwe. Resuscitation, 65(1), 15– 19. https://doi.org/10.1016/j.resuscitation.2005.01.008 Travel Forecasting Resource. (n.d.). https://tfresource.org/topics/Skim_Matrix.html Tseng, W. W., Shen, T. S., & Hsieh, P. P. (2018). Theory Establishment and Data Preparedness for Modeling Emergency Medical Service in case of a Mass Casualty Incidents in Road Tunnels. Procedia Engineering, 211, 36–45. https://doi.org/10.1016/j.proeng.2017.12.135 Zenina, N., & Borisov, A. (2014). Regression Analysis for Transport Trip Generation Evaluation. Information Technology and Management Science, 16(1). https://doi.org/10.2478/itms-2013-0014 Zhang, Z. H., & Jiang, H. (2014). A robust counterpart approach to the bi-objective emergency medical service design problem. Applied Mathematical Modelling, 38(3), 1033–1040. https://doi.org/10.1016/j.apm.2013.07.028 Zwil, A. B., Forjuoh2, S., Murugusampillay3, S., Odero1y4, W., Wattsly ’, C., & Policy, H. (1996). Injuries in developing countries: policy response needed now. In TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE (Vol. 90)	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/2123
dc.description	Supervised by Dr. Moinul Hossain, Professor, Department of Civil and Environmental Engineering (CEE), Islamic University of Technology (IUT) Board Bazar, Gazipur, Bangladesh	en_US
dc.description.abstract	In recent years, underdeveloped and developing nations have struggled to manage medical emergencies and faced obstacles such as response time reduction, insufficient medical resources, dispersed hospital development, etc. An unoptimized EMS model could be the cause of this issue. To decrease EMS response time, scientifically comprehending the emergency travel pattern is necessary. Numerous researchers have undertaken initiatives to optimize the EMS, and their approaches have centered on the location-allocation of emergency vehicles and hospitals, the optimization of extant medical resources, etc. It still needs to be determined how the scattered development of hospitals affects trip generation, zonal travel demand and supply, future medical resources, etc. This study aims to determine the current travel pattern of hospital emergency patients, the significant factors influencing trip production and attraction, and a production attraction matrix to comprehend the zonal distribution of emergency trips in a developing city like Dhaka. Data were collected through hospitals and emergency room questionnaire surveys. Using GIS analysis, Dhaka city was divided into 23 internal and 6 external zones. Regression models were prepared to predict zonal trip productions and attractions. The zonal production attraction values obtained from the regression models were used as the input of the Gravity Distribution model. Finally, a Production-Attraction matrix was formed from the gravity distribution model to comprehend zonal distribution. The study can benefit policymakers in optimizing EMS in underdeveloped nations and reducing the EMS response time.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Civil and Environmental Engineering(CEE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.subject	EMS, Response time, Production-Attraction Matrix, Gravity Distribution, Regression, Emergency Travel Pattern, Zonal Production-Attraction, Zonal Distribution	en_US
dc.title	Travel Demand Modeling for Emergency Trips In The Context of a Developing Mega City	en_US
dc.type	Thesis	en_US