为了准确统计全社会公路旅客出行量，针对传统公路客运量统计口径小、覆盖范围不全、无法全面反映公路旅客实际出行情况的问题，基于手机信令数据，通过用户位置识别、旅客出行链整理、旅客出行方式判别、城区范围划分及数据多层扩样，构建了全社会公路旅客出行量测算方法。为了验证所建方法的准确性和合理性，以京津冀地区的手机信令数据为例，对全社会公路旅客出行量进行了测算，同时利用手机用户性别、年龄标签进行自校核，并与官方数据进行对比。结果表明，在跨城市出行统计方面，基于手机信令数据的全社会公路旅客出行量测算方法较传统方法能更加全面、准确地反映全社会公路旅客的实际出行情况。
Abstract
In order to accurately calculate the highway passenger trip volume in the whole society, considering the problems of traditional highway passenger trips statistics which has small caliber, incomplete coverage and is unable to fully reflect the actual travel situation of highway passengers, a new calculation method of highway passenger trip volume in the whole society was put forward based on mobile signaling by identifying passenger position, analyzing passenger travel chain, discriminating passenger trip mode, dividing urban areas and expanding multi-layer data. In order to verify the accuracy and rationality of the proposed method, taking the mobile signaling data of passengers in Beijing, Tianjin and Hebei province as an example, the total number of highway passenger trips in the whole society was calculated, and self-checked by the data of gender and age of mobile users, and finally compared with the official data. The results show that, in terms of cross-city travel statistics, the method based on mobile signaling data could more comprehensively and accurately reflect the actual travel situation of highway passengers than the traditional method.
关键词
手机信令；公路旅客出行量；一次出行；出行方式；数据校核
Key words
mobile signaling; highway passenger trip volume; one trip; travel mode; data checking
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