DOI QR코드

DOI QR Code

A Study on Integrated Operation of School Bus in Suburbs

교외지역 통학버스 통합 운영 방안 연구

  • Ko, Young Dae (Department of Hotel and Tourism Management, Sejong University) ;
  • Oh, Yonghui (Department of Industrial Engineering, Daejin University)
  • 고영대 (세종대학교 호텔관광경영학과) ;
  • 오용희 (대진대학교 산업공학과)
  • Received : 2018.10.31
  • Accepted : 2018.11.25
  • Published : 2018.12.30

Abstract

Purpose: Generally, since the population density is lower in suburban areas, the distance to school is inevitably long. Therefore, schools in suburban areas often operate school buses to improve student welfare. However, since school buses are usually used only during going to and from school, the utilization rates are relatively low. Therefore, this study aims to establish integrated operation plan of public school bus covering all schools. Methods: It is necessary to decide which school buses will serve the specific demand node which want to go to certain school in order to design an integrated operation plan for school buses. Therefore, a mathematical model is developed for minimizing the total number of vehicles and the distance of transportation by reflecting the characteristics of school buses and students as constraints. To solve the proposed mathematical model, CPLEX, a commercial solver, is applied. Results: To validate and to confirm the proposed process, numerical example is designed with the comparison between before and after integrated operations of school buses in terms of total operation cost. The result shows that the integrated operation can lead the reduction of the number of school buses as well as the decreasing of the fuel cost. Conclusion: This study provides the quantitative method to perform the integrated operation of school buses in suburban areas. The optimal operation strategy is required because there are more complex decision-making elements considering the integrated operation. It is expected to apply this research result at real situation to expand this services based on an optimal operation.

Keywords

PJGOB9_2018_v46n4_899_f0001.png 이미지

Figure 1. Transportation distances to the school in city area and suburban area(Korea Educational Development Institute)

Table 1. Location coordinates for each school and belonging students

PJGOB9_2018_v46n4_899_t0001.png 이미지

Table 2. Results comparison of before/after integrated operation of school buses

PJGOB9_2018_v46n4_899_t0002.png 이미지

References

  1. Financial News. 2018. "The number of closed schools in Gangwon-do this year, all 4 schools... Took action using school bus etc." January 2, 2018. http://www.fnnews.com/news/201801021018265942
  2. Bogl, M., Doerner, K. F., Parragh, S. N. 2015. "The school bus routing and scheduling problem with transfers." Networks 65(2):180-203. https://doi.org/10.1002/net.21589
  3. Braca, J., Bramel, J., Posner, B., Simchi-Levi, D. 1997. "A computerized approach to the New York City school bus routing problem." IIE transactions 29(8):693-702. https://doi.org/10.1080/07408179708966379
  4. Caceres, H., Batta, R., He, Q. 2017. "School bus routing with stochastic demand and duration constraints." Transportation science 51(4):1349-1364. https://doi.org/10.1287/trsc.2016.0721
  5. Chen, D. S., Kallsen, H. A., Chen, H. C., Tseng, V. C. 1990. "A bus routing system for rural school districts." Computers & Industrial Engineering 19(1-4):322-325. https://doi.org/10.1016/0360-8352(90)90131-5
  6. W. A., Campbell, J. F., North, J. 2015. "Continuous approximation models for mixed load school bus routing." Transportation Research Part B: Methodological 77:182-198. https://doi.org/10.1016/j.trb.2015.03.018
  7. Eom, Suwon, Song, Miryeong, Seong, Juin, Yun, Jeongmi, and Lee Minsu. 2016. Quality of life in rural areas for balanced rural and urban development. Urban Information Service 408:3-14.
  8. Financial News. 2018. "The number of closed schools in Gangwon-do this year, all 4 schools... Took action using school bus etc." January 2, 2018. http://www.fnnews.com/news/201801021018265942
  9. Gangwon General Welfare Newspaper. 2017. "Increase in number of students using 'Gangwon Edubus'" May 15, 2017. http://www.gwelfare.co.kr/news/articleView.html?idxno=910.
  10. Hargroves, B. T., Demetsky, M. J. 1981. "A computer assisted school bus routing strategy: A case study." Socio-Economic Planning Sciences 15(6):341-345. https://doi.org/10.1016/0038-0121(81)90036-7
  11. Lee, Yong-Jae. 2005. "An Study on the Inepuality of Health Care Resources Distribution Affected by Regional Characteristics" Journal of Critical Social Welfare 21:49-78.
  12. Newton, R. M., Thomas, W. H. 1974. "Bus routing in a multi-school system." Computers & Operations Research 1(2):213-222. https://doi.org/10.1016/0305-0548(74)90047-1
  13. Park, J., Kim, B. I. 2010. "The school bus routing problem: A review." European Journal of operational research 202(2):311-319. https://doi.org/10.1016/j.ejor.2009.05.017
  14. Russell, R. A., Morrel, R. B. 1986. "Routing special-education school buses." Interfaces 16(5):56-64. https://doi.org/10.1287/inte.16.5.56
  15. Schittekat, P., Kinable, J., Sorensen, K., Sevaux, M., Spieksma, F., Springael, J. 2013. "A metaheuristic for the school bus routing problem with bus stop selection." European Journal of Operational Research 229(2):518-528. https://doi.org/10.1016/j.ejor.2013.02.025
  16. Spada, M., Bierlaire, M., Liebling, T. M. 2005. "Decision-aiding methodology for the school bus routing and scheduling problem." Transportation Science 39(4):477-490. https://doi.org/10.1287/trsc.1040.0096
  17. Sun, S., Duan, Z., Xu, Q. 2018. "School bus routing problem in the stochastic and time-dependent transportation network." PloS one 13(8):e0202618. https://doi.org/10.1371/journal.pone.0202618