Journal of Geo-information Science, Volume. 22, Issue 5, 1120(2020)

Optimization of Rural Primary and Secondary School Location based on Traffic Network

Yulong CHEN1...1,2,2, Zhizhu LAI3,3, and Zheng WANG2,2,33,* |Show fewer author(s)
Author Affiliations
  • 1.河南大学 黄河文明与可持续发展研究中心暨黄河文明传承与现代文明建设河南省协同创新中心,开封 475001
  • 1Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng 475001, China
  • 2.河南大学环境与规划学院,开封 475004
  • 2College of Environment and Planning, Henan University, Kaifeng 475004, China
  • 3.华东师范大学地理信息科学教育部重点实验室,上海 200241
  • 3Key Laboratory of Geographical Information Science, Ministry of Education of China, East China Normal University, Shanghai 200241, China
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    Figures & Tables(13)
    Flow chart of improved multi-objective simulated annealing algorithm
    The 21-node network
    Flow chart of facility location-network design system calculation process
    Operation interface of rural schools optimized layout system
    Road network map containing potential roads
    School locations results for scenario 1
    School locations and road upgrade results for scenario 2
    School locations, road upgrades and construction results for scenario 3
    The spatial distribution of students' time to school at each village for different scenarios
    • Table 1. Comparisons of performance indicators of three algorithms

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      Table 1. Comparisons of performance indicators of three algorithms

      算法NNMGDSP平均时间/s
      平均值/个总和/个平均值标准方差平均值标准方差
      MOSA7216537.41246.30924.29639.1184.77
      NSGA-II15456276.30106.20726.30315.6568.62
      IMOSA22647130.6040.12525.14170.0459.53
    • Table 2. Scheme and objective function value of Pareto optimal solution in scenario 1

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      Table 2. Scheme and objective function value of Pareto optimal solution in scenario 1

      方案编号新建设施个数(p)设施选址位置旅行成本(第一目标值)设施建设成本(第二目标值)
      1111 642 335400 000
      21151 488 424450 000
      321,221 495 064800 000
      421,151 331 460850 000
      5215,211 315 524900 000
      6215,171 303 8021 000 000
      7315,17,211 130 9021 450 000
      831,15,211 158 5601 300 000
      931,11,221 379 6361 200 000
      1031,11,151 216 0321 250 000
      1139,15,171 121 4381 550 000
      1231,15,171 146 8381 400 000
    • Table 3. Scheme and objective function value of Pareto optimal solution in scenario 2

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      Table 3. Scheme and objective function value of Pareto optimal solution in scenario 2

      方案编号新建设施个数(p)设施选址位置旅行成本(第一目标值)建设成本(第二目标值)
      11151 295 687559 000
      21151 132 810787 155
      31151 068 135890 765
      41151 002 049991 840
      5115864 6301 271 470
      6115807 6181 431 305
      7215,171 000 3921 267 605
      8215,17855 6481 466 570
      9215,17742 1581 687 960
      10215,17713 8001 736 255
      11215,17655 7681 865 215
      12215,17622 9961 981 305
      13215,17610 7462 078 610
      14215,17593 2412 195 025
      15215,17553 7862 313 000
      1631,15,17857 8981 712 325
      1731,15,17750 3371 874 305
      1831,15,17692 3052 003 265
      1931,15,17580 2912 118 835
      2031,15,17548 5362 199 760
      2131,15,17536 2852 297 065
      2231,15,17508 4002 458 200
    • Table 4. Scheme and objective function value of Pareto optimal solution in scenario 3

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      Table 4. Scheme and objective function value of Pareto optimal solution in scenario 3

      方案编号新建设施个数(p)设施选址位置旅行成本(第一目标值)建设成本(第二目标值)
      1115969 0111 049 911
      2115909 9841 176 466
      3115797 9701 292 036
      4115764 3721 420 996
      5115752 1551 479 340
      6115720 4081 560 265
      7115689 7161 781 031
      8215,17861 9531 458 445
      9215,17805 0141 580 320
      10215,17717 8081 753 675
      11215,17650 2271 782 035
      12215,17567 6611 932 035
      13215,17549 2772 012 960
      14215,17521 3882 174 095
      15215,17506 3682 292 070
      16315,17,21897 5601 859 931
      17315,17,21736 4672 098 156
      18315,17,21646 6872 308 041
      19315,17,21522 4562 481 955
      20315,17,21515 0372 549 215
      21315,17,21400 2202 724 416
      22315,17,21372 3312 885 551
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    Yulong CHEN, Zhizhu LAI, Zheng WANG. Optimization of Rural Primary and Secondary School Location based on Traffic Network[J]. Journal of Geo-information Science, 2020, 22(5): 1120

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    Paper Information

    Received: Aug. 13, 2019

    Accepted: --

    Published Online: Nov. 12, 2020

    The Author Email: WANG Zheng (wangzheng@casipm.ac.cn)

    DOI:10.12082/dqxxkx.2020.190443

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