Public transport network model based on layer operations

被引:16
作者
Sui, Yi [1 ]
Shao, Fengjing [1 ]
Yu, Xiang [1 ]
Sun, Rencheng [1 ]
Li, Shujing [1 ]
机构
[1] Qingdao Univ, Coll Comp Sci & Technol, Inst Smart City & Big Data Technol, Qingdao, Shandong, Peoples R China
关键词
Public transport network; OD flows; Transfer flows; Layered network; Layer operations;
D O I
10.1016/j.physa.2019.04.269
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Recent years have witnessed amount of studies on characteristics of public transport network and passengers' flows, however, most of them are discussed independently. An important criterion for evaluating public transport network is whether it could satisfy travel demand well. Therefore, in this paper, we study the interaction between public transport network and passengers' flow. Firstly, a layered network model is constructed for depicting public transport network, passengers' Origin-Destination (OD) flows and transfer flows. Based on that, we propose layer operations to analyze interaction between them and to evaluate suitability between traffic supply (physical infrastructure) and travel demand (passengers' OD trips and transfers). The proposed model is validated against empirical data from Chengdu and Qingdao, two metropolis cities in China. Results reveal the two cities have significant difference in suitability between travel demand and traffic supply. Although in contrast with Chengdu, Qingdao with advantages on transporting passengers by more straight lines and non-walking transfers, the average transfer flows and OD flows on stations in Qingdao are much heavier. The study demonstrates the importance of layer operations on exploring the interaction study of public transport network and traffic dynamics. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:984 / 995
页数:12
相关论文
共 34 条
[31]   Assessment of large-scale transitions in public transport networks using open timetable data: case of Helsinki metro extension [J].
Weckstrom, Christoffer ;
Kujala, Rainer ;
Mladenovic, Milos N. ;
Saramaki, Jari .
JOURNAL OF TRANSPORT GEOGRAPHY, 2019, 79
[32]   Preliminary optimal configuration of reconfigurable machine tools based on layered network [J].
Ma, Limei ;
Li, Jianyong ;
Xu, Wensheng .
Advances in Information Sciences and Service Sciences, 2012, 4 (13) :397-403
[33]   Door to door space-time path planning of intercity multimodal transport network using improved ripple-spreading algorithm [J].
Yang, Ruixia ;
Li, Dewei ;
Han, Baoming ;
Zhou, Weiteng ;
Yu, Yiran ;
Li, Yawei ;
Zhao, Peng .
COMPUTERS & INDUSTRIAL ENGINEERING, 2024, 189
[34]   The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model [J].
Potjans, Tobias C. ;
Diesmann, Markus .
CEREBRAL CORTEX, 2014, 24 (03) :785-806