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

共 50 条

[41] Characterizing Passenger Flow for a Transportation Hub Based on Mobile Phone Data
Zhong, Gang
Wan, Xia
Zhang, Jian
Yin, Tingting
Ran, Bin
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2017, 18 (06) : 1507 - 1518
[42] QUALITATIVE ANALYSIS OF URBAN PUBLIC TRANSPORTATION IN BUCHAREST
Alpopi, Cristina
Manole, Cristina
MANAGEMENT RESEARCH AND PRACTICE, 2012, 4 (02): : 68 - 86
[43] An approach for urban agglomerations integration evaluation based on multivariate big data: case of the Central Plains Urban Agglomeration
Shang, Jin
Guo, Xin
Wang, Jicheng
Su, Hailong
GEO-SPATIAL INFORMATION SCIENCE, 2024,
[44] In-Depth Analysis and Model Development of Passenger Satisfaction with Public Transportation
Zefreh, Mohammad Maghrour
Hussain, Blawal
Sipos, Tibor
KSCE JOURNAL OF CIVIL ENGINEERING, 2020, 24 (10) : 3064 - 3073
[45] In-Depth Analysis and Model Development of Passenger Satisfaction with Public Transportation
Mohammad Maghrour Zefreh
Blawal Hussain
Tibor Sipos
KSCE Journal of Civil Engineering, 2020, 24 : 3064 - 3073
[46] Public Transportation Travel Multi-dimensional Analysis Method Based on APTS Big Data
Chen J.
Zhuang Y.-F.
Cui M.-L.
Wang Y.-H.
Ma D.
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2019, 19 (01): : 76 - 82
[47] Urban Mobility Data Analysis for Public Transportation Systems: A Case Study in Montevideo, Uruguay
Massobrio, Renzo
Nesmachnow, Sergio
APPLIED SCIENCES-BASEL, 2020, 10 (16):
[48] Optimizing Bus Passenger Complaint Service through Big Data Analysis: Systematized Analysis for Improved Public Sector Management
Liu, Weng-Kun
Yen, Chia-Chun
SUSTAINABILITY, 2016, 8 (12)
[49] Anonymizing trajectory data for passenger flow analysis
Ghasemzadeh, Moein
Fung, Benjamin C. M.
Chen, Rui
Awasthi, Anjali
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2014, 39 : 63 - 79
[50] Transfer Learning based architecture for urban transportation Big data fusion
Ghodhbani, Salah
Elkosantini, Sabeur
Suh, Wonho
Lee, Mark
PROCEEDINGS OF 2022 14TH INTERNATIONAL CONFERENCE ON MANAGEMENT OF DIGITAL ECOSYSTEMS, MEDES 2022, 2022, : 80 - 83

← 1 2 3 4 5 →