Exploring the Characteristics of an Intra-Urban Bus Service Network: A Case Study of Shenzhen, China
TLDR
This study investigated the spatial characteristics of an urban bus service system by using the complex network approach and found that the P-space method can provide insights into the statistical laws and distinct convenient areas in a bus service network, and consequently aid in optimizing the allocation of bus stops and routes.Abstract:
The urban bus service system is one of the most important components of a public transport system. Thus, exploring the spatial configuration of the urban bus service system promotes an understanding of the quality of bus services. Such an understanding is of great importance to urban transport planning and policy making. In this study, we investigated the spatial characteristics of an urban bus service system by using the complex network approach. First, a three-step workflow was developed to collect a bus operating dataset from a public website. Then, we utilized the P-space method to represent the bus service network by connecting all bus stop pairs along each bus line. With the constructed bus network, a set of network analysis indicators were calculated to quantify the role of nodes in the network. A case study of Shenzhen, China was implemented to understand the statistical properties and spatial characteristics of the urban bus network configuration. The empirical findings can provide insights into the statistical laws and distinct convenient areas in a bus service network, and consequently aid in optimizing the allocation of bus stops and routes.read more
Citations
More filters
Journal ArticleDOI
Understanding the configuration of bus networks in urban China from the perspective of network types and administrative division effect
Sheng Wei,Wei Zheng,Lei Wang +2 more
TL;DR: A novel ‘line–line’ network is developed to examine the spatial characteristics of cross-administration bus lines in a case study of Nanjing metropolitan area, China and suggests that the bus network exhibited a consistently bimodal node distribution in both line-line and line-node network types, though their internal mechanisms are different.
Journal ArticleDOI
Review of the Estimation Methods of Energy Consumption for Battery Electric Buses
Ali Saadon Al-Ogaili,Ali Q. Al-Shetwi,Hussein M. K. Al-Masri,Thanikanti Sudhakar Babu,Yap Hoon,Khaled Alzaareer,N. V. Phanendra Babu +6 more
TL;DR: In this paper, the authors provide a detailed review of the forecasting models used to estimate the energy consumption of EBBs. But, these studies have not critically reviewed, classified and discussed the challenges of the approaches that are applied to estimate EBB’s energy demands.
Journal ArticleDOI
The Regional and Local Scale Evolution of the Spatial Structure of High-Speed Railway Networks—A Case Study Focused on Beijing-Tianjin-Hebei Urban Agglomeration
TL;DR: In this paper, the authors explore how the spatial structure of an HSR network evolves at regional and local scales, and present the evolution of station locations, of community structure, and of the locations of connections between stations at a regional scale.
Journal ArticleDOI
Using Open Big Data to Build and Analyze Urban Bus Network Models within and across Administrations
TL;DR: This paper contributes to the body of research methodologies into public transport networks and to understanding the sharing of urban public services across administrations, improving the management of urban bus networks, and highlighting the importance of examining the characteristics ofUrban bus network in county-level administrations rather than just in large cities in China.
Journal ArticleDOI
Analysis of Spatial-Temporal Characteristics of Operations in Public Transport Networks Based on Multisource Data
TL;DR: In this article, the authors proposed a data-driven framework to analyze the efficiency and stability based on small granularity GPS trajectory data from the perspective of entire bus network, where IC card data and route data were used to extract the boarding passenger number and topological structure, respectively.
References
More filters
Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
Journal ArticleDOI
Emergence of Scaling in Random Networks
TL;DR: A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
Journal ArticleDOI
The anatomy of a large-scale hypertextual Web search engine
Sergey Brin,Lawrence Page +1 more
TL;DR: This paper provides an in-depth description of Google, a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and looks at the problem of how to effectively deal with uncontrolled hypertext collections where anyone can publish anything they want.
Journal Article
The Anatomy of a Large-Scale Hypertextual Web Search Engine.
Sergey Brin,Lawrence Page +1 more
TL;DR: Google as discussed by the authors is a prototype of a large-scale search engine which makes heavy use of the structure present in hypertext and is designed to crawl and index the Web efficiently and produce much more satisfying search results than existing systems.
Journal ArticleDOI
A Set of Measures of Centrality Based on Betweenness
TL;DR: A family of new measures of point and graph centrality based on early intuitions of Bavelas (1948) is introduced in this paper, which define centrality in terms of the degree to which a point falls on the shortest path between others and there fore has a potential for control of communication.
Related Papers (5)
A Method to Evaluate Equity of Bus Spatial Availability Based on the Demand-Supply-Inconformity Indicator
Yuji Wang,Wei Wang,Xuewu Chen +2 more