In order to find the main factors that influence the urban traffic structure,a relational model between the travelers＇ characteristics and the trip mode choice is built.The data of urban residents＇ characteristics a...In order to find the main factors that influence the urban traffic structure,a relational model between the travelers＇ characteristics and the trip mode choice is built.The data of urban residents＇ characteristics are obtained from statistical data,while the trip mode split data is collected through a trip survey in Bengbu.In addition,the discrete choice model is adopted to build the functional relationship between the mode choice and the travelers＇ personal characteristics,as well as family characteristics and trip characteristics.The model shows that the relationship between the mode split and the personal,as well as family and trip characteristics is stable and changes little as the time changes.Deduced by the discrete model,the mode split result is relatively accurate and can be feasibly used for trip mode structure forecasts.Furthermore,the proposed model can also contribute to find the key influencing factors on trip mode choice,and restructure or optimize the urban trip mode structure.展开更多
The global financial and economic crisis has negatively affected all business units. Tough fight for the market position results in effort to create efficient methods to maintain company＇s competitiveness. Some of sm...The global financial and economic crisis has negatively affected all business units. Tough fight for the market position results in effort to create efficient methods to maintain company＇s competitiveness. Some of small and medium entrepreneurs have started to search the business allies. As an example of such possibility of cooperation the formation of clusters should be mention. The main intention of this paper is to demonstrate possibility for small and medium-sized enterprises （SMEs） to cooperatively penetrate new markets. Attention is focused mainly on a real export-oriented cluster. Ambition is to use costs and benefits analysis to test ability of the cluster to improve chances of companies to penetrate new markets. In order to link this analysis to real life as much as possible, existing cluster was used and on its accomplishments and failures costs and benefits of clustering are demonstrated.展开更多
基金The National Natural Science Foundation of China (No.50738001,51078086)
文摘In order to find the main factors that influence the urban traffic structure,a relational model between the travelers＇ characteristics and the trip mode choice is built.The data of urban residents＇ characteristics are obtained from statistical data,while the trip mode split data is collected through a trip survey in Bengbu.In addition,the discrete choice model is adopted to build the functional relationship between the mode choice and the travelers＇ personal characteristics,as well as family characteristics and trip characteristics.The model shows that the relationship between the mode split and the personal,as well as family and trip characteristics is stable and changes little as the time changes.Deduced by the discrete model,the mode split result is relatively accurate and can be feasibly used for trip mode structure forecasts.Furthermore,the proposed model can also contribute to find the key influencing factors on trip mode choice,and restructure or optimize the urban trip mode structure.
文摘The global financial and economic crisis has negatively affected all business units. Tough fight for the market position results in effort to create efficient methods to maintain company＇s competitiveness. Some of small and medium entrepreneurs have started to search the business allies. As an example of such possibility of cooperation the formation of clusters should be mention. The main intention of this paper is to demonstrate possibility for small and medium-sized enterprises （SMEs） to cooperatively penetrate new markets. Attention is focused mainly on a real export-oriented cluster. Ambition is to use costs and benefits analysis to test ability of the cluster to improve chances of companies to penetrate new markets. In order to link this analysis to real life as much as possible, existing cluster was used and on its accomplishments and failures costs and benefits of clustering are demonstrated.
