Passenger Flow Characteristic Analysis of Public Transportation in Urban Agglomerations by Big Data

被引：0

作者：

Li, Zizi ^{[1
]}

Zhang, Mengyao ^{[2
]}

Han, Yunzhe ^{[3
]}

Zhao, Ying ^{[3
]}

Chen, Yanyan ^{[4
]}

Zhou, Yuyang ^{[4
]}

机构：

[1] Beijing Inst Technol, Beijing Engn Res Ctr Urban Transport Operat Guara, Beijing, Peoples R China

[2] Beijing Univ Technol, Beijing Key Lab Traff Engn, Minist Transport, Beijing, Peoples R China

[3] Beijing Public Transport Corp, Beijing, Peoples R China

[4] Beijing Univ Technol, Beijing Key Lab Traff Engn, Key Lab Adv Publ Transportat Sci, Minist Transport, Beijing, Peoples R China

来源：

CICTP 2023: INNOVATION-EMPOWERED TECHNOLOGY FOR SUSTAINABLE, INTELLIGENT, DECARBONIZED, AND CONNECTED TRANSPORTATION | 2023年

关键词：

D O I：

暂无

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

The development of the Beijing-Hebei urban agglomeration has driven the increase of intercity travel demand of residents in the region, which increases passenger flow pressure on intercity bus lines. The analysis on the travel characteristics is the basis of operation optimization for supply-demand balance. This paper analyzes the characteristics of passenger flow from the perspectives of travel frequency, passenger mileage utilization, travel time, and spatial distribution, and major origin-destination (OD) flow using the case study of Line 930, with 300,000 smart card data and quick response (QR) data in the fare collection system. The results show that the morning peak of the public transportation in the Beijing-Hebei urban agglomeration is from 5:00 to 7:00. The number of frequent passengers accounted for 64.62%.

引用

页码：622 / 631

页数：10

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