基于IC卡数据的居民出行成本建模分析

doi:10.12052/gdutxb.180142

Abstract

Abstract: Developing public transportation is an important means to solve urban traffic congestion. While developing public transport, the cost of residents' travel should also be taken into account. In order to analyze the travel expenditure cost and time cost of urban residents, it is proposed to take Guangzhou traffic IC card data as a research object, using the kernel density estimation algorithm to model the traffic IC card data for analyzing residents' travel cost law. Then the model generalization ability is tested to prove that the kernel density estimation model can objectively and accurately reflect the resident travel law. Finally, the travel happiness index is analyzed, which can provide reference for the formulation of government subsidy policy.

Key words: IC card data, kernel density estimation, travel cost, travel happiness index

CLC Number:

U491.1

Xie Zhen-dong, He Jian-bing, He Shi-ye, Wu Jin-cheng, Xu Feng, Zhang Jing-kui, Leng Meng-tian. Modeling and Analysis of Residents' Travel Cost Based on IC Card Data[J].Journal of Guangdong University of Technology, 2019, 36(02): 47-53.

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[2]	Xie Zhen-dong, Liu Xue-qin, Wu Jin-cheng, Leng Meng-tian. A Study of Passenger Flow Prediction Based on IC Card Data [J]. Journal of Guangdong University of Technology, 2018, 35(01): 16-22.
[3]	Wu Jin-cheng, Xie Zhen-dong, Wu Guan-hua, Fang Qiu-shui, Yu Hong-ling. A Study of Traffic Status and Dynamic Control Based on IC Card Data [J]. Journal of Guangdong University of Technology, 2017, 34(03): 77-82.