The rapid development of high-speed rail （HSR） and air transport in China has encouraged research on the spatial effects and safety of these two modes of transport, and on the competition between them. We report her...The rapid development of high-speed rail （HSR） and air transport in China has encouraged research on the spatial effects and safety of these two modes of transport, and on the competition between them. We report here an investigation of the effects of competi- tion between HSR and air transport in China from a geographical perspective. The spatial service hinterlands for HSR and air transport accessible within one and two hours by road transport were investigated using a method based on a geographical information system and the overlapping service hinterlands of HSR and air transport were established. A city with both HSR stations and airports, or that was accessible to HSR stations and airports within a certain travel time by road transport, was defined as the overlapping market. The spatial effects of competition between HSR and air transport at present and in the future were then studied with respect to the planned HSR network and airports. The results showed that both HSR and air transport tend to serve areas with high population densities and well-developed econo- mies and in 2012 most of the population and GDP in China were accessible within two hours by road transport to an HSR station or airport. -the different technical and economic charac- teristics of HSR and air transport determine the advantage markets. Spatially, the service hinterland of HSR mainly focuses on urban agglomerations and economic corridors in the eastern and central regions, whereas air transport has a competitive advantage in the more inaccessible western region of China. The overlapping market of HSR and air transport will become increasingly large in the future and cities with a population of over one million and cities within 30 km to both airports and HSR stations will become the major competitive markets. Considering the cost of construction and the number of passengers required for economic operation, as well as the competition with air transport, it is suggested that the construction of some HSR projects in the western regi展开更多
In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,...In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,we propose to introduce the idea of ontology modeling and reasoning into competitive intelligence system building in this paper.We first present the building principles and methods of the civil aviation customer service ontology.We then define the classes and properties to contribute a real-world civil aviation customer service ontology,which is published on the Web(http:/www.openkg.cn/dataset/cacso).We finally design SWRL rules corresponding to different intelligence analysis targets to support reasoning in our designed competitive intelligence system.展开更多
基金National Natural Science Foundation of China, No. 41371143 No. 41171107 Programme of Bingwei Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, CAS, No.2011RC201.
文摘The rapid development of high-speed rail （HSR） and air transport in China has encouraged research on the spatial effects and safety of these two modes of transport, and on the competition between them. We report here an investigation of the effects of competi- tion between HSR and air transport in China from a geographical perspective. The spatial service hinterlands for HSR and air transport accessible within one and two hours by road transport were investigated using a method based on a geographical information system and the overlapping service hinterlands of HSR and air transport were established. A city with both HSR stations and airports, or that was accessible to HSR stations and airports within a certain travel time by road transport, was defined as the overlapping market. The spatial effects of competition between HSR and air transport at present and in the future were then studied with respect to the planned HSR network and airports. The results showed that both HSR and air transport tend to serve areas with high population densities and well-developed econo- mies and in 2012 most of the population and GDP in China were accessible within two hours by road transport to an HSR station or airport. -the different technical and economic charac- teristics of HSR and air transport determine the advantage markets. Spatially, the service hinterland of HSR mainly focuses on urban agglomerations and economic corridors in the eastern and central regions, whereas air transport has a competitive advantage in the more inaccessible western region of China. The overlapping market of HSR and air transport will become increasingly large in the future and cities with a population of over one million and cities within 30 km to both airports and HSR stations will become the major competitive markets. Considering the cost of construction and the number of passengers required for economic operation, as well as the competition with air transport, it is suggested that the construction of some HSR projects in the western regi
基金the National Natural Science Foundation of China(Grant No.U21B6001,62006040,62376058,U21A20488)the Fundamental Research Funds for the Central Universities,and ZhiShan Young Scholar Program of Southeast University.We thank the Big Data Computing Center of Southeast University for providing the facility support on the numerical calculations in this paper.
文摘In the process of developing the C919 large aircraft customer service intelligence system,we find that heterogeneous and incomplete data cause the inefficient and inaccurate decision making.Thus,to solve this problem,we propose to introduce the idea of ontology modeling and reasoning into competitive intelligence system building in this paper.We first present the building principles and methods of the civil aviation customer service ontology.We then define the classes and properties to contribute a real-world civil aviation customer service ontology,which is published on the Web(http:/www.openkg.cn/dataset/cacso).We finally design SWRL rules corresponding to different intelligence analysis targets to support reasoning in our designed competitive intelligence system.
