The role of spillover effect of transportation endowment on regional economic development is analyzed in this paper. We adopt the reduced form from the Solow growth model to estimate spillover effect from transportation. The panel database in use incorporates provincial gross regional product (GRP), labor and capital supply, and transportation investment information from 1985 to 2012 in China. The results confirm positive and significant spillover effect in Chinese provinces. In this paper, non-homogeneous spillover effects are captured in the empirical regression by the use of spatial weighing methods based on provincial economics and similarity as well as geographic connection. Highly positive spillovers are observed between economically similar provinces. However, for those under-developed provinces, high network connectivity often results in low or negative spillovers. The mobility and migration of production factors are believed to be the sources of the negative spillovers, while the industrial reallocation and market expansion contribute to the positive spillovers.
Revenue management is widely practiced in the airline industry yet rarely applied to high-speed rail (HSR). In the history of the rail and HSR industry, passenger ticket assignment across all stations has often been employed to regulate the supply of seats and demand from rail passengers and thus increase profitability. This study proposes a systematic revenue management approach for HSR passenger ticket assignment with dynamic adjustments. A major advantage of the proposed approach is the integration of dynamic ticket assignment and rigorous short-term demand forecasting; this method can effectively avoid the situation in which passenger tickets are not sufficient at some stations while certain seats remain empty on the train. This novel methodology has three main components. First, it develops a short-term passenger flow forecasting method for dynamic travel demand. Second, it builds a passenger ticket assignment model to allocate passenger tickets during presale periods. Third, it incorporates a dynamic ticket adjustment mechanism to adjust previous passenger ticket assignments. For demonstration purposes, the proposed approach is applied to the HSR system in China. Results show that revenue increases by 13.48% when the existing ticket assignment method is improved by this enhanced revenue management method.
The coexistence of high-speed rail (HSR) and airline in a busy transportation corridor generates competition between the two transportation modes. An unfair competition between HSR and airline not only reduces both revenues, but also triggers a series of social problems. Based on generalized costs, this paper proposes combining an improved gray prediction model, modified gravity model, and Logit model to predict the average passenger flow, induced passenger flow, and transfer passenger flow. According to the predicted results, we establish a game model that considers different stages of the HSR development. For demonstrative purposes, the approach is applied to an empirical study in China, that is, the competition between Beijing-Shenyang HSR and airline. Malignant fare war will make both parties lose out. Either mode that improves service quality will generate more revenue. If both parties improve the level of service, all incomes of the HSR, airline, and community increase. Results show the HSR contribution is greater than the airline in the case study.
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