The Experts below are selected from a list of 22470 Experts worldwide ranked by ideXlab platform

Xiping Yang - One of the best experts on this subject based on the ideXlab platform.

  • Exploring the Hierarchical Structure of China’s Railway Network from 2008 to 2017
    Sustainability, 2018
    Co-Authors: Yaping Huang, Zhiyuan Zhao, Xiping Yang
    Abstract:

    The analysis of transport Networks is an important component of urban and regional development and planning. Based on the four main stages of China’s Railway development from 2008 to 2017, this paper analyzes the hierarchical and spatial heterogeneity distribution of train flows. We found a high degree of spatial matching with the distribution of China’s main Railway corridors. Then, using a classical community detection algorithm, this paper attempts to describe the functional structure and regional effects of China’s Railway Network. We also explore the impacts of construction policies and changes to train operations on the spatial organizing pattern and evolution of Network hierarchies. The results of this empirical study reveal a clear pattern of independent communities, which in turn indicates the existence of a hierarchical structure in China’s Railway Network. The decreases in both the number of communities and average distance between community centers indicate that the newer high-speed rail services have shortened the connections between cities. In addition, the detected communities are inconsistent with China’s actual administrative divisions in terms of quantity and boundaries. The spatial spillover and segmentation effects cause the Railway Network in different regions to be self-contained. Finally, the detected communities in each stage can be divided into the categories of monocentric structure, dual-nuclei structure, and polycentric structure according to the number of extracted hubs. The polycentric structure is the dominant mode, which shows that the Railway Network has significant spatial dependence and a diversified spatial organization mode. This study has great significance for policymakers seeking to guide the future construction of high-speed rail lines and optimize national or regional Railway Networks.

  • Exploring Railway Network Dynamics in China from 2008 to 2017
    ISPRS International Journal of Geo-Information, 2018
    Co-Authors: Yaping Huang, Xiping Yang, Zhiyuan Zhao
    Abstract:

    China’s high speed rail (HSR) Network has been rapidly constructed and developed during the past 10 years. However, few studies have reported the spatiotemporal changes of Railway Network structures and how those structures have been affected by the operation of high speed rail systems in different periods. This paper analyzes the evolving Network characteristics of China’s Railway Network during each of the four main stages of HSR development over a 10-year period. These four stages include Stage 1, when no HSR was in place prior to August 2008; Stage 2, when several HSR lines were put into operation between August 2008, and July 2011; Stage 3, when the Network skeleton of most main HSR lines was put into place. This covered the period until January 2013. Finally, Stage 4 covers the deep intensification of several new HSR lines and the rapid development of intercity-HSR Railway lines between January 2013, and July 2017. This paper presents a detailed analysis of the timetable-based statistical properties of China’s Railway Network, as well as the spatiotemporal patterns of the more than 2700 stations that have been affected by the opening of HSR lines and the corresponding policy changes. Generally, we find that the distribution of both degrees and strengths are characterized by scale-free patterns. In addition, the decreasing average path length and increasing Network clustering coefficient indicate that the small world characteristic is more significant in the evolution of China’s Railway Network. Correlations between different Network indices are explored, in order to further investigate the dynamics of China’s Railway system. Overall, our study offers a new approach for assessing the growth and evolution of a real Railway Network based on train timetables. Our study can also be referenced by policymakers looking to adjust HSR operations and plan future HSR routes.

Zhiyuan Zhao - One of the best experts on this subject based on the ideXlab platform.

  • Exploring the Hierarchical Structure of China’s Railway Network from 2008 to 2017
    Sustainability, 2018
    Co-Authors: Yaping Huang, Zhiyuan Zhao, Xiping Yang
    Abstract:

    The analysis of transport Networks is an important component of urban and regional development and planning. Based on the four main stages of China’s Railway development from 2008 to 2017, this paper analyzes the hierarchical and spatial heterogeneity distribution of train flows. We found a high degree of spatial matching with the distribution of China’s main Railway corridors. Then, using a classical community detection algorithm, this paper attempts to describe the functional structure and regional effects of China’s Railway Network. We also explore the impacts of construction policies and changes to train operations on the spatial organizing pattern and evolution of Network hierarchies. The results of this empirical study reveal a clear pattern of independent communities, which in turn indicates the existence of a hierarchical structure in China’s Railway Network. The decreases in both the number of communities and average distance between community centers indicate that the newer high-speed rail services have shortened the connections between cities. In addition, the detected communities are inconsistent with China’s actual administrative divisions in terms of quantity and boundaries. The spatial spillover and segmentation effects cause the Railway Network in different regions to be self-contained. Finally, the detected communities in each stage can be divided into the categories of monocentric structure, dual-nuclei structure, and polycentric structure according to the number of extracted hubs. The polycentric structure is the dominant mode, which shows that the Railway Network has significant spatial dependence and a diversified spatial organization mode. This study has great significance for policymakers seeking to guide the future construction of high-speed rail lines and optimize national or regional Railway Networks.

  • Exploring Railway Network Dynamics in China from 2008 to 2017
    ISPRS International Journal of Geo-Information, 2018
    Co-Authors: Yaping Huang, Xiping Yang, Zhiyuan Zhao
    Abstract:

    China’s high speed rail (HSR) Network has been rapidly constructed and developed during the past 10 years. However, few studies have reported the spatiotemporal changes of Railway Network structures and how those structures have been affected by the operation of high speed rail systems in different periods. This paper analyzes the evolving Network characteristics of China’s Railway Network during each of the four main stages of HSR development over a 10-year period. These four stages include Stage 1, when no HSR was in place prior to August 2008; Stage 2, when several HSR lines were put into operation between August 2008, and July 2011; Stage 3, when the Network skeleton of most main HSR lines was put into place. This covered the period until January 2013. Finally, Stage 4 covers the deep intensification of several new HSR lines and the rapid development of intercity-HSR Railway lines between January 2013, and July 2017. This paper presents a detailed analysis of the timetable-based statistical properties of China’s Railway Network, as well as the spatiotemporal patterns of the more than 2700 stations that have been affected by the opening of HSR lines and the corresponding policy changes. Generally, we find that the distribution of both degrees and strengths are characterized by scale-free patterns. In addition, the decreasing average path length and increasing Network clustering coefficient indicate that the small world characteristic is more significant in the evolution of China’s Railway Network. Correlations between different Network indices are explored, in order to further investigate the dynamics of China’s Railway system. Overall, our study offers a new approach for assessing the growth and evolution of a real Railway Network based on train timetables. Our study can also be referenced by policymakers looking to adjust HSR operations and plan future HSR routes.

Yaping Huang - One of the best experts on this subject based on the ideXlab platform.

  • Exploring the Hierarchical Structure of China’s Railway Network from 2008 to 2017
    Sustainability, 2018
    Co-Authors: Yaping Huang, Zhiyuan Zhao, Xiping Yang
    Abstract:

    The analysis of transport Networks is an important component of urban and regional development and planning. Based on the four main stages of China’s Railway development from 2008 to 2017, this paper analyzes the hierarchical and spatial heterogeneity distribution of train flows. We found a high degree of spatial matching with the distribution of China’s main Railway corridors. Then, using a classical community detection algorithm, this paper attempts to describe the functional structure and regional effects of China’s Railway Network. We also explore the impacts of construction policies and changes to train operations on the spatial organizing pattern and evolution of Network hierarchies. The results of this empirical study reveal a clear pattern of independent communities, which in turn indicates the existence of a hierarchical structure in China’s Railway Network. The decreases in both the number of communities and average distance between community centers indicate that the newer high-speed rail services have shortened the connections between cities. In addition, the detected communities are inconsistent with China’s actual administrative divisions in terms of quantity and boundaries. The spatial spillover and segmentation effects cause the Railway Network in different regions to be self-contained. Finally, the detected communities in each stage can be divided into the categories of monocentric structure, dual-nuclei structure, and polycentric structure according to the number of extracted hubs. The polycentric structure is the dominant mode, which shows that the Railway Network has significant spatial dependence and a diversified spatial organization mode. This study has great significance for policymakers seeking to guide the future construction of high-speed rail lines and optimize national or regional Railway Networks.

  • Exploring Railway Network Dynamics in China from 2008 to 2017
    ISPRS International Journal of Geo-Information, 2018
    Co-Authors: Yaping Huang, Xiping Yang, Zhiyuan Zhao
    Abstract:

    China’s high speed rail (HSR) Network has been rapidly constructed and developed during the past 10 years. However, few studies have reported the spatiotemporal changes of Railway Network structures and how those structures have been affected by the operation of high speed rail systems in different periods. This paper analyzes the evolving Network characteristics of China’s Railway Network during each of the four main stages of HSR development over a 10-year period. These four stages include Stage 1, when no HSR was in place prior to August 2008; Stage 2, when several HSR lines were put into operation between August 2008, and July 2011; Stage 3, when the Network skeleton of most main HSR lines was put into place. This covered the period until January 2013. Finally, Stage 4 covers the deep intensification of several new HSR lines and the rapid development of intercity-HSR Railway lines between January 2013, and July 2017. This paper presents a detailed analysis of the timetable-based statistical properties of China’s Railway Network, as well as the spatiotemporal patterns of the more than 2700 stations that have been affected by the opening of HSR lines and the corresponding policy changes. Generally, we find that the distribution of both degrees and strengths are characterized by scale-free patterns. In addition, the decreasing average path length and increasing Network clustering coefficient indicate that the small world characteristic is more significant in the evolution of China’s Railway Network. Correlations between different Network indices are explored, in order to further investigate the dynamics of China’s Railway system. Overall, our study offers a new approach for assessing the growth and evolution of a real Railway Network based on train timetables. Our study can also be referenced by policymakers looking to adjust HSR operations and plan future HSR routes.

Jiaoe Wang - One of the best experts on this subject based on the ideXlab platform.

  • spatiotemporal evolution of china s Railway Network in the 20th century an accessibility approach
    Transportation Research Part A-policy and Practice, 2009
    Co-Authors: Jiaoe Wang, Fengjun Jin, Fahui Wang
    Abstract:

    The interrelatedness of transportation development and economic growth has been a constant theme of geographic inquiries, particularly in economic and transportation geography. This paper analyzes the expansion of China's Railway Network, the evolution of its spatial accessibility, and the impacts on economic growth and urban systems over a time span of about one century (1906-2000). First, major historical events and policies and their effects on Railway development in China are reviewed and grouped into four major eras: preliminary construction, Network skeleton, corridor building, and deep intensification. All four eras followed a path of "inland expansion." Second, spatial distribution of accessibility and its evolution are analyzed. The spatial structure of China's Railway Network is characterized by "concentric rings" with its major axis in North China and the most accessible city gradually migrating from Tianjin to Zhengzhou. Finally, the study indicates that Railway Network expansion has significantly improved economic development and heavily influenced the formation of urban systems in China.

Ziyou Gao - One of the best experts on this subject based on the ideXlab platform.

  • timetable coordination of first trains in urban Railway Network a case study of beijing
    Applied Mathematical Modelling, 2016
    Co-Authors: Xin Guo, Huijun Sun, Ronghui Liu, Ziyou Gao
    Abstract:

    A model of timetable coordination of first trains in urban Railway Networks, based on the importance of lines and transfer stations, is proposed in this paper. A sub-Network connection method is developed, and a mathematical programming solver is utilized to solve the suggested model. A simple test Network and a real Network of Beijing urban Railway Network are modeled to verify the effectiveness of our suggested model. Results demonstrate that the proposed model is effective in improving the transfer performance in that they reduce the connection time significantly.

  • optimizing trains movement on a Railway Network
    Omega-international Journal of Management Science, 2012
    Co-Authors: Lixing Yang, Ziyou Gao
    Abstract:

    Abstract Focusing on solving critically important train operation problems on a Railway Network, this paper investigates a mathematical model for finding optimal trains movements under the consideration of operational interactions. With the predetermined routing and traversing order plan, we explicitly consider the optimization of energy consumption and travel time as the objective based on the coasting control methods. To reduce the calculation difficulties, simulation-based methodologies are proposed to compute the energy consumption and traversing time through using specific performance of the involved trains. A genetic algorithm integrated with simulation is designed to seek the approximate optimal coasting control strategies on the Railway Network. The numerical experiments investigate the effectiveness of the proposed model and algorithm.

  • Optimization Method of Energy Saving Train Operation for Railway Network
    Journal of Transportation Systems Engineering and Information Technology, 2009
    Co-Authors: Ziyou Gao
    Abstract:

    Abstract In Railway Network, trains running through stations may be disturbed by trains in other lines. This paper investigates energy saving train operation under disturbance condition. According to the mathematical description of the problem and dynamic equation for train movement, the authors propose an optimization model of energy saving train operation. A changeable chromosome length genetic algorithm (GA) and table of control mode list are applied to solve the optimization problem. The simulation is carried out, and the speed-position curve of disturbed train is compared with that of train that moves normally. The variation of speed with time is analyzed. Some principles for energy saving are revealed in speed-position curve and energy-position curve. At last, the simulation result is compared with that obtained by other methods. The comparison shows that the changeable chromosome length GA is an effective method to be applied in energy saving train operation.