Research on the Regional Layout Planning of General Airports for Multi-dimensional Functional Demand

被引:0
|
作者
Jiang Y. [1 ]
Liu M. [1 ]
Li Z. [1 ]
Xue Q. [2 ]
Dai Y. [1 ]
机构
[1] School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
[2] College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing
关键词
air transportation; airports configuration optimization; continuous facility location; functional positioning; maximal covering model; multi-dimensional Functional demand; NSGA-Ⅲ; algorithm; Polygon Intersection Point Set method;
D O I
10.12082/dqxxkx.2024.230549
中图分类号
学科分类号
摘要
With the development of the low-altitude economy, many provinces have released general airport layout plans, and the construction of general airports has reached its climax. Reasonable layout and functional positioning of general airports are the foundation for the development of the general aviation industry. However, there is still a lack of methods for generating scientific and reasonable airport layout. Therefore, it is urgently necessary to develop a scientific method for layout planning and functional positioning of general airports. Moreover, the existing research has not fully considered the spatial diversity of multi-dimensional demand of general airports, resulting in a one-sided general airport layout plan which is decoupled from functional positioning. To address these problems, this paper aims to construct a research framework for multi-dimensional demand analysis, layout planning, and functional positioning, and generate layout planning of general airports based on multidimensional functional demand. First, the demand for transportation and non-transportation functions of general airports is a systematically analyzed. Combining with real data, the impact index system for transportation and non-transportation demand is constructed based on an econometric model and characteristics of non-transportation functions. Then, a combined weighting method is used to overlay the impact indicators to obtain the distribution of regional transportation and non-transportation demand. Second, the improved Polygon Intersection Point Set method is employed to discretize the continuous facility sitting problem based on multi-dimensional functional demand coverage assumptions. After that, the multi-dimensional functional demand-oriented general airport layout planning models are constructed. The NSGA-III algorithm is designed to solve the multi-objective model. Finally, the k-means clustering-based general airport functional positioning model is proposed. An example region is selected to carry out general airport layout planning. The results show that in the near-term planning, when the number of general aviation airports increases by 29, the regional transportation demand coverage reaches 58.78% and the non-transportation demand coverage reaches 66.17%. In the long-term planning, when the number of general aviation airports increases by 64, the transportation demand coverage reaches 89.20% and the non-transportation demand coverage reaches 97.57%, which basically achieves a complete coverage of the multidimensional functional demand in the region. The 1h commuting area share of general aviation in the region is increased from the current 28.73% to 60.63% and 78.35% in the near-term and long-term planning, respectively. Finally, the grade and function of general aviation airports are determined based on a long-term layout scheme, which ensures the compatibility between functional positioning and the multi-dimensional functional demand distribution, providing a theoretical basis for the planning and construction of general aviation airports. © 2024 Science Press. All rights reserved.
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页码:1296 / 1314
页数:18
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共 28 条
  • [1] Lin Y.F., Yin K., Dang Y., Et al., Spatio- temporal LSTM for OD passenger demand prediction[J], Journal of Beijing Jiaotong University, 43, 1, pp. 114-121, (2019)
  • [2] Liao H.Q., Fang Z.G., Wang C.H., Et al., Economic development forecast of China's general aviation industry[J], Complexity, pp. 1-8, (2020)
  • [3] Wu W.J., Zhang X.L., Yang Z.P., Et al., Commuter Airport layout of Xinjiang based on the social need & traffic accessibility[J], Arid Land Geography, 40, 5, pp. 1097-1104, (2017)
  • [4] Hao J.J., Zhang L., Ji X.F., Et al., Investigating the accessibility between civil airports and tourist locations in tourist cities in Yunnan Province, China[J], Sustainability, 12, 10, (2020)
  • [5] Yan H.R., Chai H.Q., Evaluation of the influencing factors on general aviation tourism industry of Xi'an based on AHP and fuzzy comprehensive evaluation method[C], 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 1782-1786, (2017)
  • [6] Chen X., Yuan J., Dai L., Airport network spillover effect with spatial econometric models[J], Journal of Transportation Systems Engineering and Information Technology, 19, 4, pp. 211-217, (2019)
  • [7] Guo X.Y., Jing G.X., Wang Y.S., Et al., Method and application of the measurement and evaluation of China's general aviation emergency rescue capability[J], Journal of Safety and Environment, 23, 5, pp. 1383-1389, (2023)
  • [8] Zhang B., Huang T., Yang F.T., The bottleneck and operating model of the general aviation industrial market[J], Macroeconomic Management, 1, pp. 78-84, (2019)
  • [9] He X., Gong X.X., General aviation aerodrome preliminary construction based on heuristic algorithm[J], Journal of Changzhou Institute of Technology, 29, 6, pp. 26-29, (2016)
  • [10] Zhou Y., Shao Q., Wang H., Non- transportation A2 general airport layout planning method[J], Science Technology and Engineering, 19, 33, pp. 397-402, (2019)