Evaluation and Analysis of Airside Economic Zone based on GIS Technology
-- Taking Daxing Airport as an Example
DOI:
https://doi.org/10.54097/fcis.v4i3.11150Keywords:
Daxing Airport Airside Economic Zone, Indicator Evaluation System, Land Development, GIS Technology, Data AnalysisAbstract
The purpose of this paper is to establish a feasible indicator evaluation system for the Daxing Airport Airside Economic Zone, so as to make suggestions for the land development of Daxing Airport. The land use of Daxing Airport Airside Economic Zone may lack a reasonable planning and indicator evaluation system. Based on the results of indicator calculation, combined with the spatial analysis function of GIS, it explains the reasons for some uncoordinated development of the area, and makes targeted suggestions for improvement of the problems in each land use segment. This study aims to comprehensively assess the integrated benefits of commercial service utilization in the airport and airside areas, and therefore constructs a multi-faceted indicator evaluation system to comprehensively measure the advantages and disadvantages of land use.
Downloads
References
Linthacum, W.W. (1975) Transportation Corridor Planning for Arizona Regional Airport. Transportation engineering journal of ASCE, 101(3):415-423.
Zhang Yicheng. (2018) Research on the interaction between industrial development and spatial planning in the airside area of Kunming Changshui Airport. Thesis of Kunming University of Science and Technology, 1:175.
Feng Xiaomei. (2008) Research on evaluation of urban public transportation system based on GIS. Thesis of Beijing Jiaotong University, 8:65.
Niu Xiaotong. (2020) Research on traffic impact evaluation of high-speed rail station and surrounding land use based on GIS. Thesis of Beijing Jiaotong University, 3:91.
Chen Yanguang, Liu Minghua. (2001) Entropy law of urban land use structure. Human Geography, 04:20-24.
Huang Xiaobing, Chen Zhongnuan. (2014) Research on the retail species structure of metro station point shopping areas based on information entropy--taking 15 metro station point shopping areas in Guangzhou as an example. Economic Geography, 34(03):38-44.
Liu Hui. (2022) Research on land use evaluation of areas around high-speed railway station under TOD concept. Thesis of Chongqing University, 4:103.
Chen, W., Xia, J. (2007) An optimal combination assignment method synthesizing subjective and objective weighting information. Practice and Understanding of Mathematics, 37(001):17-22.


