基于IC卡数据的居民出行成本建模分析

发展公共交通是解决城市交通拥堵的重要手段，在发展公共交通同时也应兼顾居民出行成本.为剖析城市居民出行支出与时间成本，先以广州交通IC卡数据为研究对象，通过核密度估计算法对交通IC卡数据建模，分析居民的出行成本规律.然后对模型可泛化能力进行测试，证明核密度估计模型能够客观准确地反映居民出行规律.最后对出行幸福指数进行分析，以此对政府补助政策的制定提供参考.

Modeling and Analysis of Residents' Travel Cost Based on IC Card Data

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.