Evaluation of airport intelligence degree based on zero-subjective relative algorithm

ZHANG Rui; HUANG Wei; MA Tao

doi:10.19818/j.cnki.1671-1637.2024.02.016

Volume 24 Issue 2

Apr. 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Traffic and Transportation Engineering > 2024 > 24(2): 232-242

Next Previous

ZHANG Rui, HUANG Wei, MA Tao. Evaluation of airport intelligence degree based on zero-subjective relative algorithm[J]. Journal of Traffic and Transportation Engineering, 2024, 24(2): 232-242. doi: 10.19818/j.cnki.1671-1637.2024.02.016

Citation:

ZHANG Rui, HUANG Wei, MA Tao. Evaluation of airport intelligence degree based on zero-subjective relative algorithm[J]. Journal of Traffic and Transportation Engineering, 2024, 24(2): 232-242. doi: 10.19818/j.cnki.1671-1637.2024.02.016

Citation:

PDF( 1188 KB)

Evaluation of airport intelligence degree based on zero-subjective relative algorithm

doi: 10.19818/j.cnki.1671-1637.2024.02.016

ZHANG Rui^{1, 2
,},
HUANG Wei^{1, 2
,},
MA Tao^{2, 3}

1.
Intelligent Transportation System (ITS) Research Center, Southeast University, Nanjing 211189, Jiangsu, China
2.
Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multimodal Transportation Laboratory), Nanjing 211100, Jiangsu, China
3.
School of Transportation, Southeast University, Nanjing 211189, Jiangsu, China

Funds:

National Key Research and Development Program of China 2020YFB1600102

National Natural Science Foundation of China 42074039

Open Project of Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multimodal Transportation Laboratory) MTF2023013

More Information

Author Bio:
ZHANG Rui(1973-), male, doctoral student, 230199151@seu.edu.cn

HUANG Wei(1961-), male, academician of Chinese Academy of Engineering, professor, PhD, hhhwei2005@126.com
Received Date: 2024-01-18
Publish Date: 2024-04-25

Abstract

Abstract

To solve the issues such as various indicators, wide coverage, complex relationships among indicators, and non-uniform dimensions encountered in the evaluation process of airport intelligence degree, which make it difficult to conduct quantitative analysis, the traditional evaluation methods were optimized, and the improved technique for order preference by similarity to an ideal solution (TOPSIS) method was integrated with the analytic hierarchy process (AHP). Then, a zero-subjective relative (ZR) algorithm was proposed for the airport intelligence degree evaluation. To ensure the accuracy of the evaluation results, the weights of functional indicators in the airport intelligence evaluation system were calculated by using expert opinions and objective judgment results. At last, a case study of an airport in Jiangsu Province was given to evaluate the intelligence degree by using the ZR algorithm. Research results show that in 2018, the intelligence degree of the airport scores 65.64, and in 2022, the intelligence degree of the airport scores 77.08, indicating that various intelligent devices in the airport are constantly updated, and the intelligence degree of the airport improves constantly. The secondary security operation monitoring indicator under the airport emergency security improves by 65.7% in 2022 compared to 2018, the physical security screening indicator improves by 17.1%, and the emergency and security indicator improves by 16.2%. This can be explained by the fact that the airport vigorously developes the artificial intelligent analysis system in recent years, introduces the face recognition system at the terminal entrance and exit, and improves the station operation security monitoring platform. To a certain extent, it enhances the intelligence degree of airport security. The score of landside traffic indicator is 2.34 in 2018 and 2.54 in 2022, indicating no significant change, and the development of intelligence degree is slow. Therefore, resource investment should be strengthened in future construction.
- civil airport,
- evaluation of intelligence degree,
- zero-subjective relative algorithm,
- improved TOPSIS method,
- weight calculation

FullText(HTML)

References(31)

References

[1]	HE Hua-wu, ZHU Liang, LI Ping, et al. Study on the system framework of intelligent high speed railway[J]. China Railway, 2019(3): 1-8. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TLZG201903001.htm
[2]	LI Guo-feng. The concept of "sharing" and the construction of humanistic airport[J]. Air Transport and Business, 2021(6): 31-34. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KYSW202106011.htm
[3]	WANG Tong-chen, WANG Li-xin, LIU Heng-fei. Talking about the development prospect of GIS from Beijing Daxing International Airport[J]. Geomatics and Spatial Information Technology, 2019, 42(12): 149-151. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DBCH201912044.htm
[4]	LIU Cheng-xiao. Discussion on evaluation methods of four types of airports[J]. China Plant Engineering, 2023(4): 249-251. (in Chinese) doi: 10.3969/j.issn.1671-0711.2023.04.104
[5]	WU Cheng-cheng, LI Tong-yang, ZHANG Jian. Discussion on how to promote four characteristic airport construction at small and medium-sized airports[J]. Civil Aviation Management, 2022(10): 24-27. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-MHGL202210005.htm
[6]	KHADONOV S V, UFIMTSEV A V, DYMKOVA S S. "Digital smart airport" system based on innovative navigation and information technologies[C]//IEEE. 2020 International Conference on Engineering Management of Communication and Technology (EMCTECH). New York: IEEE, 2020: 1-6.
[7]	LYKOU G, ANAGNOSTOPOULOU A, GRITZALIS D. Smart airport cybersecurity: threat mitigation and cyber resilience controls[J]. Sensors, 2018, 19(1): 19. doi: 10.3390/s19010019
[8]	GAO Ying. Research on the evaluation of DX Airport logistics information service platform[D]. Beijing: University of International Business and Economics, 2021. (in Chinese)
[9]	YANG Guang. Research on thesmart airport construction of group A based on digital transformation[D]. Jinan: Shandong University, 2023. (in Chinese)
[10]	RAJAPAKSHA A, JAYASURIY N. Smart airport: a review on future of the airport operation[J]. Global Journal of Management and Business Research, 2020, 20(3): 25-34.
[11]	ZHAO Hong-duo, LI Chen-chen, LIU Shi-fu, et al. Concept intelligence rating and evaluation of smart airfield in airport[J]. Journal of Tongji University (Natural Science), 2019, 47(8): 1137-1142. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-TJDZ201908008.htm
[12]	MOHAMED M, GOMAA H, EL-SHERIF N. Evaluation of current smart airport technologies implemented in Cairo International Airport[J]. International Journal of Heritage, Tourism and Hospitality, 2018, 12(2): 130-140.
[13]	JIN Lei, WANG Yin-yin, FU Hui, et al. Perception level evaluation of airport land-side intelligent traffic system based on fuzzy analytic hierarchy process[J]. Science Technology and Engineering, 2022, 22(8): 3365-3372. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KXJS202208049.htm
[14]	SKORUPSKI J, UCHRO AN'G SKI P. A fuzzy reasoning system for evaluating the efficiency of cabin baggage screening at airports[J]. Transportation Research Part C: Emerging Technologies, 2015, 54: 157-175.
[15]	NAGY E, CSISZÁR C. Revealing influencing factors of check-in time in air transportation[J]. Acta Polytechnica Hungarica, 2017, 14(4): 225-243.
[16]	GÖÇMEN E. Smart airport: evaluation of performance standards and technologies for a smart logistics zone[J]. Transportation Research Record, 2021, 2675(7): 480-490.
[17]	TIAN Jia. Study onevaluation method of new-type smart cities[D]. Nanjing: Southeast University, 2018. (in Chinese)
[18]	TIAN Bao-lin, LIU Chang-you. Airport emergency capacity assessment model based on an interval-number analytic hierarchy process[J]. China Safety Science Journal, 2011, 21(3): 170-176. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-ZAQK201103031.htm
[19]	WANG Hong-yan, XU Ya-xi. Airport service quality evaluation based on AHP model[J]. Science Technology and Industry, 2015, 15(6): 64-67. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CYYK201506013.htm
[20]	CHAI Lin-guo, RUI Tao, SHANGGUAN Wei, et al. Group airport passengers travel recommendation method based on secondary induction[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 301-313. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2023.06.020
[21]	CHEN Zheng-lei, CHONG Xiao-lei, LIU Chao-jia, et al. Runway capacity evaluation based on multi-agent modeling and Monte Carlo simulation[J]. Journal of Traffic and Transportation Engineering, 2023, 23(6): 244-256. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2023.06.016
[22]	WANG R T, HO C T, FENG C M, et al. A comparative analysis of the operational performance of Taiwan's major airports[J]. Journal of Air Transport Management, 2004, 10(5): 353-360.
[23]	HUANG Jun, LI Yong-bin, WEN Yu-tao. Multi-target threat assessment based on GA-AHP algorithm[J]. Journal of Air Force Engineering University (Natural Science Edition), 2019, 20(5): 90-96. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KJGC201905015.htm
[24]	SHARMA A, CHAKI R, BHATTACHARYA U. Applications of wireless sensor network in intelligent traffic system: a review[C]//IEEE. 2011 3rd International Conference on Electronics Computer Technology. New York: IEEE, 2011, 53-57.
[25]	LIU Ling. Research on content-based recommendation based on the idea of TOPSIS[J]. Mathematics in Practice and Theory, 2012, 42(16): 113-119. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SSJS201216015.htm
[26]	YU Chao-jun, JIANG Ju, XU Hai-yan, et al. Multi- objective optimization of flight-gate assignment based on improved genetic algorithm[J]. Journal of Traffic and Transportation Engineering, 2020, 20(2): 121-130. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2020.02.010
[27]	SAATY T L. Decision making with the analytic hierarchy process[J]. International Journal of Services Sciences, 2008, 1(1): 83-98.
[28]	LI Cheng-long, QU Wen-qiu, LI Yan-dong, et al. Overview of traffic management of urban air mobility (UAM) with eVTOL aircraft[J]. Journal of Traffic and Transportation Engineering, 2020, 20(4): 35-54. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2020.04.003
[29]	HOLDEN J, GOEL N. Fast-forwarding to a future of on- demand urban air transportation[R]. San Francisco: Uber Elevate, 2016.
[30]	ZHAO Yi-fei, XIAO Tong-tong, WAN Jun-qiang. Evolution of air traffic control system of Chinese civil aviation[J]. Journal of Traffic and Transportation Engineering, 2020, 20(2): 100-120. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2020.02.009
[31]	BAI Qiang, WU Shuai, CAO Rui, et al. Review on passenger boarding process optimization at civil airports[J]. Journal of Traffic and Transportation Engineering, 2022, 22(4): 68-88. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2022.04.005

Relative Articles

Supplements(0)

Cited By

Get Citation

PDF

XML

Article Metrics

Article views (1086) PDF downloads(65)

Evaluation of airport intelligence degree based on zero-subjective relative algorithm

doi: 10.19818/j.cnki.1671-1637.2024.02.016

Abstract

References

Catalog

Article Metrics

Related

Evaluation of airport intelligence degree based on zero-subjective relative algorithm

doi: 10.19818/j.cnki.1671-1637.2024.02.016

Abstract

References

Catalog

Article Metrics

Related

Export File

Citation

Format

Content