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How to cite this paper
APA: Cabrera, J., Londoño, M & Pantoja, V. (2021). School bus routing problem considering affinity among children. Decision Science Letters, 10(4), 535-548.
Chicago/Turabian: Cabrera, J., Londoño, M & Pantoja, V. 2021. "School bus routing problem considering affinity among children." Decision Science Letters 10, no. 4 (2021): 535-548.
AMA: Cabrera, J., Londoño, M & Pantoja, V. School bus routing problem considering affinity among children. Decision Science Letters. 2021;10(4):535-548.
References
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Brusco, M.J., & Köhn, H. (2008). Optimal Partitioning of a Data Set Based on the p-Median Model. Psychometrika, 73,89. https://doi-org.bd.univalle.edu.co/10.1007/s11336-007-9021-4
Clarke, G., & Wright, J. W. (1964). Scheduling of vehicles from a central depot to a number of delivery points. Operations Research, 12(4), 568–581.
Comert, S. E., Yazgan, H. R., Kır, S., & Yener, F. (2018). A cluster first-route second approach for a capacitated vehicle routing problem: A case study. International Journal of Procurement Management, 11(4), 399–419. https://doi.org/10.1504/IJPM.2018.092766
Craig, W. M., & Pepler, D. J. (2007). Understanding bullying: From research to practice. Canadian Psychology, 48(2), 86–93. https://doi.org/10.1037/cp2007010
Duque Correa, A. F., & Baldoquín de la Peña, M. G. (2018). Solving the assignment of customers to trucks and visit days in a periodic routing real-world case1. Ingenieria y Universidad, 22(1), 53–76. https://doi.org/10.11144/Javeriana.iyu22-1.sact
Ellegood, W. A., Solomon, S., North, J., & Campbell, J. F. (2019). School bus Routing Problem: Contemporary Trends and Research Directions. Omega. https://doi.org/10.1016/j.omega.2019.03.014
Emilia, R., & Emilia, R. (1983). • Route First – Cluster Second Introduzione. I(4), 0–5.
Galliger, C. C., Tisak, M. S., & Tisak, J. (2009). When the wheels on the bus go round: Social interactions on the school bus. Social Psychology of Education, 12(1), 43–62. https://doi.org/10.1007/s11218-008-9072-0
Gillett, B. E., & Miller, L. R. (1974a). A Heuristic Algorithm for the Vehicle-Dispatch Problem. August 2015.
Gillett, B. E., & Miller, L. R. (1974b). A Heuristic Algorithm for the Vehicle-Dispatch Problem. Operations Research, 22(2), 340–349.
Giosa, I. D., Tansini, I. L., & Viera, I. O. (2017). New assignment algorithms for the multi-depot vehicle routing problem New assignment algorithms for the multi-depot vehicle routing problem. 5682. https://doi.org/10.1057/palgrave.jors.2601426
Goldman, S., & Peleg, K. (2010). Pupil behaviour on school buses and potential risk factors for injury : an observational study. Bull World Health Organ, 88(February), 570–575. https://doi.org/10.2471/BLT.08.058396
Goodboy, A. K., Martin, M. M., & Brown, E. (2016). Bullying on the school bus : deleterious effects on public school bus drivers. Journal of Applied Communication Research, 44(4), 434–452. https://doi.org/10.1080/00909882.2016.1225161
Gutierrez, I. A., & Ñopo, H. (2018). Stand Against Bullying : An Experimental School Intervention Stand Against. IZA Institute of Labor Economics, 11623, 51.
Jiménez, J. de la C. (2018). Bullying por orientación sexual entre estudiantes masculinos. Criterio Libre, 28, 205–219.
Kalpakjian, S., & Steven, R. (2008). Libro Tecnología de grupos.pdf (Pearson (ed.)).
Kasirzadeh, A., Saddoune, M., & Soumis, F. (2017). Airline crew scheduling : models , algorithms , and data sets. EURO Journal on Transportation and Logistics, 6(2), 111–137. https://doi.org/10.1007/s13676-015-0080-x
Kohl, N., & Karisch, S. E. (2004). Airline Crew Rostering : Problem Types , Modeling and Optimization. Annals of Operations Research, 127, 223–257.
Kumar, V., Bierlaire, M., & Gallay, O. (2010). Generalized Algorithms for Crew Planning : Survey and Future Directions for Railways. STRC, September.
Lin, H., Chen, Y., Chou, T., & Liao, Y. (2012). Crew rostering with multiple goals : An empirical study. COMPUTERS & INDUSTRIAL ENGINEERING, 63(2), 483–493. https://doi.org/10.1016/j.cie.2012.04.013
Long, J., Harré, N., & Atkinson, Q. (2015). Social clustering in high school transport choices. Journal of Environmental Psychology, 41, 155–165. https://doi.org/10.1016/j.jenvp.2015.01.001
MacQueen, J., & Others. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1(14), 281–297.
Meskens, N., Duvivier, D., & Hanset, A. (2013). Multi-objective operating room scheduling considering desiderata of the surgical team. Decision Support Systems, 55(2), 650–659. https://doi.org/10.1016/j.dss.2012.10.019
Miller, C. E., Tucker, A. W., & Zemlin, R. A. (1960). Integer Programming Formulation of Traveling Salesman Problems. J. ACM, 7(4), 326–329. https://doi.org/10.1145/321043.321046
Miranda-Bront, J. J., Curcio, B., Méndez-Díaz, I., Montero, A., Pousa, F., & Zabala, P. (2017). A cluster-first route-second approach for the swap body vehicle routing problem. Annals of Operations Research, 253(2), 935–956. https://doi.org/10.1007/s10479-016-2233-1
Quintero Quintero, T. (2012). ALGORITMO HÍBRIDO BASADO EN UN MÉTODO DE APROXIMACIONES SUCESIVAS PARA EL PROBLEMA DE RUTEO DE VEHÍCULOS HETEROGÉNEO.
Raskauskas, J. (2005). Bullying on the school bus: A video analysis. Journal of School Violence, 4(3), 93–107. https://doi.org/10.1300/J202v04n03_08
Saaty, R. W. (1987). The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Sarubbi, J. F., Mesquita, C. M., Wanner, E., Santos, V. F., & Silva, C. M. (2016). A strategy for clustering students minimizing the number of bus stops for solving the school bus routing problem. In C. C. G. L. Z. dos S. C. R. P. Badonnel S.O. Ulema M. (Ed.), Proceedings of the NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium (pp. 1175–1180). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NOMS.2016.7502983
Sule, D. R. (2001). Instalaciones de manufactura: ubicación, planeación y diseño. Thomson.
Thaithatkul, P., Seo, T., Kusakabe, T., & Asakura, Y. (2015). A passengers Matching Problem in ridesharing systems by considering user preference. Journal of the Eastern Asia Society for Transportation Studies, 11, 1416–1432. https://doi.org/10.11175/easts.11.1416
UNESCO. (2018). School violence and bullying: Global status and trends, drivers and consequences.
UNESCO. (2019). Behind the numbers: Ending school violence and bullying.
Unsal, O., Yigit, T., & Altintas, C. (2016). Optimization of Dynamic School Bus Routing Problem by Using Metaheuristic and Clustering Methods. Proceedings of the 11th International Confenference on Practice and Theory of Auto- Mated Timetabling (PATAT-2016) –Udine, Italy, August 23–26, 2016, 555–559.
Waygood, E. O. D., Friman, M., Taniguchi, A., & Olsson, L. E. (2019). Children ’ s life satisfaction and travel satisfaction : Evidence from Canada , Japan , and Sweden. Travel Behaviour and Society, 16(April 2018), 214–223. https://doi.org/10.1016/j.tbs.2018.04.004
White, J. (2019). Addressing school violence and bullying : Evidence review. NHS Health Scotland.
Zhou, J., Love, P. E. D., Teo, K. L., & Luo, H. (2017). An exact penalty function method for optimising QAP formulation in facility layout problem. International Journal of Production Research, 55(10), 2913–2929. https://doi.org/10.1080/00207543.2016.1229068
Brusco, M.J., & Köhn, H. (2008). Optimal Partitioning of a Data Set Based on the p-Median Model. Psychometrika, 73,89. https://doi-org.bd.univalle.edu.co/10.1007/s11336-007-9021-4
Clarke, G., & Wright, J. W. (1964). Scheduling of vehicles from a central depot to a number of delivery points. Operations Research, 12(4), 568–581.
Comert, S. E., Yazgan, H. R., Kır, S., & Yener, F. (2018). A cluster first-route second approach for a capacitated vehicle routing problem: A case study. International Journal of Procurement Management, 11(4), 399–419. https://doi.org/10.1504/IJPM.2018.092766
Craig, W. M., & Pepler, D. J. (2007). Understanding bullying: From research to practice. Canadian Psychology, 48(2), 86–93. https://doi.org/10.1037/cp2007010
Duque Correa, A. F., & Baldoquín de la Peña, M. G. (2018). Solving the assignment of customers to trucks and visit days in a periodic routing real-world case1. Ingenieria y Universidad, 22(1), 53–76. https://doi.org/10.11144/Javeriana.iyu22-1.sact
Ellegood, W. A., Solomon, S., North, J., & Campbell, J. F. (2019). School bus Routing Problem: Contemporary Trends and Research Directions. Omega. https://doi.org/10.1016/j.omega.2019.03.014
Emilia, R., & Emilia, R. (1983). • Route First – Cluster Second Introduzione. I(4), 0–5.
Galliger, C. C., Tisak, M. S., & Tisak, J. (2009). When the wheels on the bus go round: Social interactions on the school bus. Social Psychology of Education, 12(1), 43–62. https://doi.org/10.1007/s11218-008-9072-0
Gillett, B. E., & Miller, L. R. (1974a). A Heuristic Algorithm for the Vehicle-Dispatch Problem. August 2015.
Gillett, B. E., & Miller, L. R. (1974b). A Heuristic Algorithm for the Vehicle-Dispatch Problem. Operations Research, 22(2), 340–349.
Giosa, I. D., Tansini, I. L., & Viera, I. O. (2017). New assignment algorithms for the multi-depot vehicle routing problem New assignment algorithms for the multi-depot vehicle routing problem. 5682. https://doi.org/10.1057/palgrave.jors.2601426
Goldman, S., & Peleg, K. (2010). Pupil behaviour on school buses and potential risk factors for injury : an observational study. Bull World Health Organ, 88(February), 570–575. https://doi.org/10.2471/BLT.08.058396
Goodboy, A. K., Martin, M. M., & Brown, E. (2016). Bullying on the school bus : deleterious effects on public school bus drivers. Journal of Applied Communication Research, 44(4), 434–452. https://doi.org/10.1080/00909882.2016.1225161
Gutierrez, I. A., & Ñopo, H. (2018). Stand Against Bullying : An Experimental School Intervention Stand Against. IZA Institute of Labor Economics, 11623, 51.
Jiménez, J. de la C. (2018). Bullying por orientación sexual entre estudiantes masculinos. Criterio Libre, 28, 205–219.
Kalpakjian, S., & Steven, R. (2008). Libro Tecnología de grupos.pdf (Pearson (ed.)).
Kasirzadeh, A., Saddoune, M., & Soumis, F. (2017). Airline crew scheduling : models , algorithms , and data sets. EURO Journal on Transportation and Logistics, 6(2), 111–137. https://doi.org/10.1007/s13676-015-0080-x
Kohl, N., & Karisch, S. E. (2004). Airline Crew Rostering : Problem Types , Modeling and Optimization. Annals of Operations Research, 127, 223–257.
Kumar, V., Bierlaire, M., & Gallay, O. (2010). Generalized Algorithms for Crew Planning : Survey and Future Directions for Railways. STRC, September.
Lin, H., Chen, Y., Chou, T., & Liao, Y. (2012). Crew rostering with multiple goals : An empirical study. COMPUTERS & INDUSTRIAL ENGINEERING, 63(2), 483–493. https://doi.org/10.1016/j.cie.2012.04.013
Long, J., Harré, N., & Atkinson, Q. (2015). Social clustering in high school transport choices. Journal of Environmental Psychology, 41, 155–165. https://doi.org/10.1016/j.jenvp.2015.01.001
MacQueen, J., & Others. (1967). Some methods for classification and analysis of multivariate observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1(14), 281–297.
Meskens, N., Duvivier, D., & Hanset, A. (2013). Multi-objective operating room scheduling considering desiderata of the surgical team. Decision Support Systems, 55(2), 650–659. https://doi.org/10.1016/j.dss.2012.10.019
Miller, C. E., Tucker, A. W., & Zemlin, R. A. (1960). Integer Programming Formulation of Traveling Salesman Problems. J. ACM, 7(4), 326–329. https://doi.org/10.1145/321043.321046
Miranda-Bront, J. J., Curcio, B., Méndez-Díaz, I., Montero, A., Pousa, F., & Zabala, P. (2017). A cluster-first route-second approach for the swap body vehicle routing problem. Annals of Operations Research, 253(2), 935–956. https://doi.org/10.1007/s10479-016-2233-1
Quintero Quintero, T. (2012). ALGORITMO HÍBRIDO BASADO EN UN MÉTODO DE APROXIMACIONES SUCESIVAS PARA EL PROBLEMA DE RUTEO DE VEHÍCULOS HETEROGÉNEO.
Raskauskas, J. (2005). Bullying on the school bus: A video analysis. Journal of School Violence, 4(3), 93–107. https://doi.org/10.1300/J202v04n03_08
Saaty, R. W. (1987). The analytic hierarchy process-what it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Sarubbi, J. F., Mesquita, C. M., Wanner, E., Santos, V. F., & Silva, C. M. (2016). A strategy for clustering students minimizing the number of bus stops for solving the school bus routing problem. In C. C. G. L. Z. dos S. C. R. P. Badonnel S.O. Ulema M. (Ed.), Proceedings of the NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium (pp. 1175–1180). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/NOMS.2016.7502983
Sule, D. R. (2001). Instalaciones de manufactura: ubicación, planeación y diseño. Thomson.
Thaithatkul, P., Seo, T., Kusakabe, T., & Asakura, Y. (2015). A passengers Matching Problem in ridesharing systems by considering user preference. Journal of the Eastern Asia Society for Transportation Studies, 11, 1416–1432. https://doi.org/10.11175/easts.11.1416
UNESCO. (2018). School violence and bullying: Global status and trends, drivers and consequences.
UNESCO. (2019). Behind the numbers: Ending school violence and bullying.
Unsal, O., Yigit, T., & Altintas, C. (2016). Optimization of Dynamic School Bus Routing Problem by Using Metaheuristic and Clustering Methods. Proceedings of the 11th International Confenference on Practice and Theory of Auto- Mated Timetabling (PATAT-2016) –Udine, Italy, August 23–26, 2016, 555–559.
Waygood, E. O. D., Friman, M., Taniguchi, A., & Olsson, L. E. (2019). Children ’ s life satisfaction and travel satisfaction : Evidence from Canada , Japan , and Sweden. Travel Behaviour and Society, 16(April 2018), 214–223. https://doi.org/10.1016/j.tbs.2018.04.004
White, J. (2019). Addressing school violence and bullying : Evidence review. NHS Health Scotland.
Zhou, J., Love, P. E. D., Teo, K. L., & Luo, H. (2017). An exact penalty function method for optimising QAP formulation in facility layout problem. International Journal of Production Research, 55(10), 2913–2929. https://doi.org/10.1080/00207543.2016.1229068