A discrete-event simulation approach to assess the benefits of parking technologies in hospitals

As essential service providers, hospitals receive a large quantity of traffic every day. The deficiency in hospital parking facilities causes drivers to spend more time getting a parking spot, causing delays for patients and physicians. We develop and validate discrete-event simulation models upon o...

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Autores:
Soto Ferrari, Milton
Romero Rodriguez, Daniel
Escorcia Caballero, Juan P.
Daza Escorcia, Julio Mario
Chams-Anturi, Odette
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9251
Acceso en línea:
https://hdl.handle.net/11323/9251
https://repositorio.cuc.edu.co/
Palabra clave:
Smart parking technology
Simulation
Hospital facilities
Parking configuration
Rights
openAccess
License
© Copyright 2022 Elsevier B.V., All rights reserved.
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/9251
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.eng.fl_str_mv A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
title A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
spellingShingle A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
Smart parking technology
Simulation
Hospital facilities
Parking configuration
title_short A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
title_full A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
title_fullStr A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
title_full_unstemmed A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
title_sort A discrete-event simulation approach to assess the benefits of parking technologies in hospitals
dc.creator.fl_str_mv Soto Ferrari, Milton
Romero Rodriguez, Daniel
Escorcia Caballero, Juan P.
Daza Escorcia, Julio Mario
Chams-Anturi, Odette
dc.contributor.author.spa.fl_str_mv Soto Ferrari, Milton
Romero Rodriguez, Daniel
Escorcia Caballero, Juan P.
Daza Escorcia, Julio Mario
Chams-Anturi, Odette
dc.subject.proposal.eng.fl_str_mv Smart parking technology
Simulation
Hospital facilities
Parking configuration
topic Smart parking technology
Simulation
Hospital facilities
Parking configuration
description As essential service providers, hospitals receive a large quantity of traffic every day. The deficiency in hospital parking facilities causes drivers to spend more time getting a parking spot, causing delays for patients and physicians. We develop and validate discrete-event simulation models upon other parking configurations in a Saudi Arabian hospital to assess smart parking benefits. We find that technology implementations are not advantageous for condensed parking areas. Our results indicate that the improvements in drivers' time will depend on the various factors of the parking configuration and aspects such as the car arrival rate, car flow, and parking visibility
publishDate 2021
dc.date.issued.none.fl_str_mv 2021-06
dc.date.accessioned.none.fl_str_mv 2022-06-14T12:12:30Z
dc.date.available.none.fl_str_mv 2022-06-14T12:12:30Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Soto-Ferrari, M., Romero-Rodriguez, D., Escorcia-Caballero, J. P., Daza-Escorcia, J. M., & Chams-Anturi, O. A Discrete-Event Simulation Approach to Assess the Benefits of Parking Technologies in Hospitals.
dc.identifier.issn.spa.fl_str_mv 1082-1910
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/9251
dc.identifier.doi.spa.fl_str_mv 10.46970/2021.27.2.4
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv Soto-Ferrari, M., Romero-Rodriguez, D., Escorcia-Caballero, J. P., Daza-Escorcia, J. M., & Chams-Anturi, O. A Discrete-Event Simulation Approach to Assess the Benefits of Parking Technologies in Hospitals.
1082-1910
10.46970/2021.27.2.4
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9251
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv International Journal of Operations and Quantitative Management
dc.relation.references.spa.fl_str_mv 1. Alam, M., Moroni, D., Pieri, G., Tampucci, M., Gomes, M., Fonseca, J., Ferreira, J., et al. (2018), “Real-time smart parking systems integration in distributed ITS for smart cities”, Journal of Advanced Transportation.
2. Alfadhlani, W. and Afrinaldi, F. (2019), “An evaluation on Dr. M. Djamil Hospital Padang parking lot capacity”, IOP Conference Series: Materials Science and Engineering. IOP Publishing, p. 012038.
3. Ali, A. and Hassan, S. (2019), “Review of Malaysian current practice in supply/demand of parking in the hospital”, IOP Conference Series: Materials Science and Engineering. IOP Publishing, p. 012057.
4. Caicedo, F. (2009), “The use of space availability information in ‘PARC’ systems to reduce search times in parking facilities”, Transportation Research Part C: Emerging Technologies, Vol. 17 No. 1, pp. 56–68.
5. Caicedo, F. (2010), “Real-time parking information management to reduce search time, vehicle displacement and emissions”, Transportation Research Parte D: Transport and Environment, Vol. 15 No. 4, pp. 228–234.
6. Chams-Anturi, O., Escorcia-Caballero, J.P., P. Gomez, A. and Soto-Ferrari, M. (2020), “Analysis of competitiveness in supply chain integration and logistics: An evidence from a public hospital network”, Proceedings of the International Conference on Industrial Engineering and Operations Management, pp. 176–188.
7. Chen, Q., He, P. and Chen, J. (2017), “Analysis on time window of shared parking in hospitals based on parking behaviors”, Discrete Dynamics in Nature and Society. Hindawi, pp. 1–11.
8. Costa, A., Rocha, C. and Melo, S. (2014), “Parking management policies and the effectiveness of public policy solutions”, Procedia-Social and Behavioral Sciences, Vol. 111, pp. 965–973.
9. Ganesan, K. and Vignesh, K. (2007), “Automated parking slot allocation using RFID technology”, IEEE 9th International Symposium on Signal Processing and Its Applications. IEEE, pp. 1–4.
10. Geng, F. and Cassandras, C. (2012), “A new ‘Smart Parking’ system infrastructure and implementation”, 15th Meeting of EURO Working Group on Transportation, Elsevier Publications, Procedia – Social and Behavioral Sciences, Vol. 54, pp. 1278 – 1287.
11. Giuffre, T., Siniscalchi, S. and Tesoriere, G. (2012), “A novel architecture of parking management for smart cities”, Procedia: Social and Behavioral Science, Vol. 53, pp. 16–28.
12. Grazioli, A., Picone, M. and Zanichelli, M. (2013), “Collaborative mobile application and advanced services for smart parking”, IEEE 14th International Conference on Mobile Data Management, pp. 39–44.
13. Guo, Y., Zhang, Y., Zhao, Y., Jia, Q., Jing, Z., Ren, Y., Li, R., et al. (2018), “Traffic congestion evaluation and management optimization based on queueing model and VISSIM simulation”, IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, pp. 672–676.
14. Haoui, A., Kavaler, R. and Varaiya, P. (2008), “Wireless magnetic sensors for traffic surveillance”, Transportation Research Parte C: Emerging Technologies, Vol. 6 No. 3, pp. 294–306.
15. Horng, G., Wang, C. and Cheng, S. (2012), “Using cellular automata on recommendation mechanism for smart parking in vehicular environments”, IEEE 2nd International Conference on Consumer Electronics, Communications and Networks. IEEE, pp. 3683–3686.
16. Jermsurawong, J., Ahasan, U., Haidar, A., Dong, H. and Mavridis, N. (2014), “One-Day long statistical analysis of parking demand by using single-camera vacancy detection”, Journal of Transportation Systems Engineering and Information Technology, Vol. 14 No. 2, pp. 33–44.
17. Klappenecker, A., Lee, H. and Welch, J. (2014), “Finding available parking spaces made easy”, Ad Hoc Networks, Vol. 12, pp. 243–249.
18. Kotb, A., Shen, Y. and Huang, Y. (2017), “Smart parking guidance, monitoring and reservations: A review”, IEEE Intelligent Transportation Systems Magazine, Vol. 9 No. 2, pp. 6–16.
19. Kuo, Y., Balasubramanian, H. and Chen, Y. (2020), “Medical appointment overbooking and optimal scheduling: Tradeoffs between schedule efficiency and accessibility to service”, Flexible Services and Manufacturing Journal, Vol. 32 No. 1, pp. 72–101.
20. Lan, K. and Shih, W. (2014a), “An intelligent driver location system for smart parking”, Expert Systems with Applications, Vol. 41 No. 5, pp. 2443–2456.
21. Lan, K. and Shih, W. (2014b), “An intelligent driver location system for smart parking”, Expert Systems with Applications, Pages, Vol. 41 No. 5, pp. 2443– 2456.
22. Lin, T., Rivano, H. and Le Mouël, F. (2017), “A survey of smart parking solutions”, IEEE Transactions on Intelligent Transportation Systems, Vol. 18 No. 12, pp. 3229–3253.
23. Paidi, V., Fleyeh, H., Håkansson, J. and Nyberg, R. (2018), “Smart parking sensors, technologies and applications for open parking lots: A review”, IET Intelligent Transport Systems, Vol. 12 No. 8, pp. 735–741.
24. Perković, T., Šolić, P., Zargariasl, H., Čoko, D. and Rodrigues, J. (2020), “Smart parking sensors: State of the art and performance evaluation”, Journal of Cleaner Production, Vol. 262, p. 121181.
25. Prasad, G., Sharath, U., Amith, B., Supritha, B., Asokan, S. and Hegde, G. (2013), “Fiber braggs grating sensor instrumentation for parking space occupancy management”, International Conference on Optical Engineering, pp. 1–4.
26. Schäfer, F., Walther, M., Hübner, A. and Kuhn, H. (2019), “Operational patientbed assignment problem in large hospital settings including overflow and uncertainty management”, Flexible Services and Manufacturing Journal, Vol. 31 No. 4, pp. 1012–1041.
27. Suthanaya, P. (2017), “Development of parking demand model for private hospital in developing country (case study of Denpasar City, Indonesia)”, Journal of Sustainable Development, Vol. 10 No. 5, pp. 52–60.
28. Teodorovic, D. and Lucic, P. (2006), “Intelligent parking systems”, European Journal of Operational Research, Vol. 175, pp. 1666–1681.
29. Xu, B., Wolfson, O., Yang, J., Stenneth, L., Yu, P. and Nelson, P. (2013), “Realtime Street Parking Availability Estimation”, IEEE 14th International Conference on Mobile Data Management, pp. 16–25.
30. Yu, W. and Chan, M. (2008), “A service engineering approach to a mobile parking guidance system in uhealthcare”, IEEE International Conference on E-Business Engineering, pp. 255–261.
31. Zhu, D. (2018), “Deep learning over IoT big data-based ubiquitous parking guidance robot for parking near destination especially hospital”, Personal and Ubiquitous Computing, Vol. 22, pp. 1109–1116.
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dc.rights.spa.fl_str_mv © Copyright 2022 Elsevier B.V., All rights reserved.
Atribución 4.0 Internacional (CC BY 4.0)
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rights_invalid_str_mv © Copyright 2022 Elsevier B.V., All rights reserved.
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institution Corporación Universidad de la Costa
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spelling Soto Ferrari, MiltonRomero Rodriguez, DanielEscorcia Caballero, Juan P.Daza Escorcia, Julio MarioChams-Anturi, Odette2022-06-14T12:12:30Z2022-06-14T12:12:30Z2021-06Soto-Ferrari, M., Romero-Rodriguez, D., Escorcia-Caballero, J. P., Daza-Escorcia, J. M., & Chams-Anturi, O. A Discrete-Event Simulation Approach to Assess the Benefits of Parking Technologies in Hospitals.1082-1910https://hdl.handle.net/11323/925110.46970/2021.27.2.4Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/As essential service providers, hospitals receive a large quantity of traffic every day. The deficiency in hospital parking facilities causes drivers to spend more time getting a parking spot, causing delays for patients and physicians. We develop and validate discrete-event simulation models upon other parking configurations in a Saudi Arabian hospital to assess smart parking benefits. We find that technology implementations are not advantageous for condensed parking areas. Our results indicate that the improvements in drivers' time will depend on the various factors of the parking configuration and aspects such as the car arrival rate, car flow, and parking visibility12 páginasapplication/pdfengInternational Forum of Management Scholars (INFOMS)United States© Copyright 2022 Elsevier B.V., All rights reserved.Atribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2A discrete-event simulation approach to assess the benefits of parking technologies in hospitalsArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www-scopus-com.ezproxy.cuc.edu.co/record/display.uri?eid=2-s2.0-85123720449&origin=resultslist&sort=plf-f&src=s&st1=A+Discrete-Event+Simulation+Approach+to+Assess+the+Benefits+of+Parking+Technologies+in+Hospitals&sid=37b44c90fe9e3e284fd1b39555d04561&sot=b&sdt=b&sl=111&s=TITLE-ABS-KEY%28A+Discrete-Event+Simulation+Approach+to+Assess+the+Benefits+of+Parking+Technologies+in+Hospitals%29&relpos=0&citeCnt=0&searchTerm=&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1International Journal of Operations and Quantitative Management1. Alam, M., Moroni, D., Pieri, G., Tampucci, M., Gomes, M., Fonseca, J., Ferreira, J., et al. (2018), “Real-time smart parking systems integration in distributed ITS for smart cities”, Journal of Advanced Transportation.2. Alfadhlani, W. and Afrinaldi, F. (2019), “An evaluation on Dr. M. Djamil Hospital Padang parking lot capacity”, IOP Conference Series: Materials Science and Engineering. IOP Publishing, p. 012038.3. Ali, A. and Hassan, S. (2019), “Review of Malaysian current practice in supply/demand of parking in the hospital”, IOP Conference Series: Materials Science and Engineering. IOP Publishing, p. 012057.4. Caicedo, F. (2009), “The use of space availability information in ‘PARC’ systems to reduce search times in parking facilities”, Transportation Research Part C: Emerging Technologies, Vol. 17 No. 1, pp. 56–68.5. Caicedo, F. (2010), “Real-time parking information management to reduce search time, vehicle displacement and emissions”, Transportation Research Parte D: Transport and Environment, Vol. 15 No. 4, pp. 228–234.6. Chams-Anturi, O., Escorcia-Caballero, J.P., P. Gomez, A. and Soto-Ferrari, M. (2020), “Analysis of competitiveness in supply chain integration and logistics: An evidence from a public hospital network”, Proceedings of the International Conference on Industrial Engineering and Operations Management, pp. 176–188.7. Chen, Q., He, P. and Chen, J. (2017), “Analysis on time window of shared parking in hospitals based on parking behaviors”, Discrete Dynamics in Nature and Society. Hindawi, pp. 1–11.8. Costa, A., Rocha, C. and Melo, S. (2014), “Parking management policies and the effectiveness of public policy solutions”, Procedia-Social and Behavioral Sciences, Vol. 111, pp. 965–973.9. Ganesan, K. and Vignesh, K. (2007), “Automated parking slot allocation using RFID technology”, IEEE 9th International Symposium on Signal Processing and Its Applications. IEEE, pp. 1–4.10. Geng, F. and Cassandras, C. (2012), “A new ‘Smart Parking’ system infrastructure and implementation”, 15th Meeting of EURO Working Group on Transportation, Elsevier Publications, Procedia – Social and Behavioral Sciences, Vol. 54, pp. 1278 – 1287.11. Giuffre, T., Siniscalchi, S. and Tesoriere, G. (2012), “A novel architecture of parking management for smart cities”, Procedia: Social and Behavioral Science, Vol. 53, pp. 16–28.12. Grazioli, A., Picone, M. and Zanichelli, M. (2013), “Collaborative mobile application and advanced services for smart parking”, IEEE 14th International Conference on Mobile Data Management, pp. 39–44.13. Guo, Y., Zhang, Y., Zhao, Y., Jia, Q., Jing, Z., Ren, Y., Li, R., et al. (2018), “Traffic congestion evaluation and management optimization based on queueing model and VISSIM simulation”, IEEE 22nd International Conference on Computer Supported Cooperative Work in Design, pp. 672–676.14. Haoui, A., Kavaler, R. and Varaiya, P. (2008), “Wireless magnetic sensors for traffic surveillance”, Transportation Research Parte C: Emerging Technologies, Vol. 6 No. 3, pp. 294–306.15. Horng, G., Wang, C. and Cheng, S. (2012), “Using cellular automata on recommendation mechanism for smart parking in vehicular environments”, IEEE 2nd International Conference on Consumer Electronics, Communications and Networks. IEEE, pp. 3683–3686.16. Jermsurawong, J., Ahasan, U., Haidar, A., Dong, H. and Mavridis, N. (2014), “One-Day long statistical analysis of parking demand by using single-camera vacancy detection”, Journal of Transportation Systems Engineering and Information Technology, Vol. 14 No. 2, pp. 33–44.17. Klappenecker, A., Lee, H. and Welch, J. (2014), “Finding available parking spaces made easy”, Ad Hoc Networks, Vol. 12, pp. 243–249.18. Kotb, A., Shen, Y. and Huang, Y. (2017), “Smart parking guidance, monitoring and reservations: A review”, IEEE Intelligent Transportation Systems Magazine, Vol. 9 No. 2, pp. 6–16.19. Kuo, Y., Balasubramanian, H. and Chen, Y. (2020), “Medical appointment overbooking and optimal scheduling: Tradeoffs between schedule efficiency and accessibility to service”, Flexible Services and Manufacturing Journal, Vol. 32 No. 1, pp. 72–101.20. Lan, K. and Shih, W. (2014a), “An intelligent driver location system for smart parking”, Expert Systems with Applications, Vol. 41 No. 5, pp. 2443–2456.21. Lan, K. and Shih, W. (2014b), “An intelligent driver location system for smart parking”, Expert Systems with Applications, Pages, Vol. 41 No. 5, pp. 2443– 2456.22. Lin, T., Rivano, H. and Le Mouël, F. (2017), “A survey of smart parking solutions”, IEEE Transactions on Intelligent Transportation Systems, Vol. 18 No. 12, pp. 3229–3253.23. Paidi, V., Fleyeh, H., Håkansson, J. and Nyberg, R. (2018), “Smart parking sensors, technologies and applications for open parking lots: A review”, IET Intelligent Transport Systems, Vol. 12 No. 8, pp. 735–741.24. Perković, T., Šolić, P., Zargariasl, H., Čoko, D. and Rodrigues, J. (2020), “Smart parking sensors: State of the art and performance evaluation”, Journal of Cleaner Production, Vol. 262, p. 121181.25. Prasad, G., Sharath, U., Amith, B., Supritha, B., Asokan, S. and Hegde, G. (2013), “Fiber braggs grating sensor instrumentation for parking space occupancy management”, International Conference on Optical Engineering, pp. 1–4.26. Schäfer, F., Walther, M., Hübner, A. and Kuhn, H. (2019), “Operational patientbed assignment problem in large hospital settings including overflow and uncertainty management”, Flexible Services and Manufacturing Journal, Vol. 31 No. 4, pp. 1012–1041.27. Suthanaya, P. (2017), “Development of parking demand model for private hospital in developing country (case study of Denpasar City, Indonesia)”, Journal of Sustainable Development, Vol. 10 No. 5, pp. 52–60.28. Teodorovic, D. and Lucic, P. (2006), “Intelligent parking systems”, European Journal of Operational Research, Vol. 175, pp. 1666–1681.29. Xu, B., Wolfson, O., Yang, J., Stenneth, L., Yu, P. and Nelson, P. (2013), “Realtime Street Parking Availability Estimation”, IEEE 14th International Conference on Mobile Data Management, pp. 16–25.30. Yu, W. and Chan, M. (2008), “A service engineering approach to a mobile parking guidance system in uhealthcare”, IEEE International Conference on E-Business Engineering, pp. 255–261.31. Zhu, D. (2018), “Deep learning over IoT big data-based ubiquitous parking guidance robot for parking near destination especially hospital”, Personal and Ubiquitous Computing, Vol. 22, pp. 1109–1116.152141227Smart parking technologySimulationHospital facilitiesParking configurationPublicationORIGINALA Discrete-Event Simulation Approach to Assess the.pdfA Discrete-Event Simulation Approach to Assess the.pdfapplication/pdf360074https://repositorio.cuc.edu.co/bitstreams/1f7d1d55-6f83-473e-8a0f-67f4959b009c/downloadb672a1879544ecd17b76c3f290fe62cbMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/1d11c969-4d16-4230-b79a-17e07eb3441e/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTA Discrete-Event Simulation Approach to Assess the.pdf.txtA Discrete-Event Simulation Approach to Assess the.pdf.txttext/plain33366https://repositorio.cuc.edu.co/bitstreams/f8c3cb3a-5aa8-4de3-aa43-734ac718be36/download5dd835772da5eccef0217fc9eb06ae21MD53THUMBNAILA 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