Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China

Li, Zhi-Chun; Sheng, Dian

doi:10.1016/j.tra.2016.10.002

Cited by 68 publications

(42 citation statements)

References 26 publications

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“…This distance measure captures the effect of route and network optimisation on airline efficiency. In the last decade, high speed rail (HSR) has emerged as a significant transport mode in China (Li and Sheng, 2016). It has been an effective substitute for air transport on short and medium haul routes, posing a serious threat to the Chinese airlines (Zhang and Zhang, 2016).…”

Section: The Second-stage Regression Modelmentioning

confidence: 99%

A comparative study of airline efficiency in China and India: A dynamic network DEA approach

Zhang

et al. 2019

Research in Transportation Economics

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Using a dynamic network DEA approach, this research examines the efficiency performance of major Chinese and Indian carriers with a consideration of the airline company's internal processes and links as well as the carry-over items that connect consecutive time periods. It has been found that three low-cost carriers (LCCs), namely, China's Spring and India's SpiceJet were the most efficient carriers during the period between 2008 and 2015. China's three stateowned airlines performed poorly in both the capacity generation and service stages, particularly the latter. The second-stage regression results confirm that the LCC model and private ownership are significantly associated with better airline efficiency performance. This paper thus 2 calls for continual reforms in China's air transport including further privatisation and policy support for LCCs and private carriers to improve the overall efficiency of this industry.

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Section: The Second-stage Regression Modelmentioning

confidence: 99%

A comparative study of airline efficiency in China and India: A dynamic network DEA approach

Zhang

et al. 2019

Research in Transportation Economics

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“…Jiang and Zhang (2016) and Xia and Zhang (2016) used methodological perspectives that focused upon the socioeconomic outcomes of HSR and air competition as seen in traffic volumes, price, profits and welfare changes. In addition, some investigations were also conducted from a modal integration perspective using stated preference survey data with an objective to identify the market potential of the air and HSR integration in China (Li and Sheng, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of high-speed rail on domestic air transportation in China

Chen¹

2017

Journal of Transport Geography

115

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A B S T R A C TThis study investigates the impacts of high-speed rail (HSR) on domestic air transportation in China using a new comprehensive modeling framework utilizing both demand and supply perspectives. For the first time the assessment was conducted using an improved panel regression model by taking into account of the detailed opening schedules of various HSR services during the period 2001-2014. The research findings reveal that the deployed HSR services have a significant substitutional effect on domestic air transportation in China, but the effect varies across different HSR routes, travel distance and city type. Specifically, the research found a decrease in domestic passengers of 28.2%, in flights of 24.6% and in seat capacity of 27.9% after the introduction of HSR services. The impacts are found much stronger among those air routes that connect major hub within a distance range of 500 to 800 km. The uneven nature of the impact can be seen in the different experiences of selected cities. For example, air travel declined approximately 45% after commencement of the Wuhan-Guangzhou HSR, whereas it fell by 34% after the opening of the Beijing-Shanghai HSR.http://dx.

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“…By the line length, trains of Ω * 1 , Ω * 2 , and Ω * 3 are classified into several groups, respectively, shown in Figure 3. The number of trains with line lengths within 1,200 km accounts for more than 80% for each optimized solution and the journey time of those trains is usually less than 5 h. In this time range, the HSR service has great competitive advantages in the transport markets, and if the journey time is longer, passengers prefer to travel by air [24]. Comparing with Ω , the ratio of trains with line lengths less than 300 km is low and the ratio of medium and long-haul trains is high for the optimized solutions, which can reduce transfers and increase direct passengers and then decrease the travel cost of passengers.…”

Section: (1) Comparison Between the Initial Solution And The Optimizementioning

confidence: 99%

A Line Planning Approach for High-Speed Rail Networks with Time-Dependent Demand and Capacity Constraints

Tao

2019

Mathematical Problems in Engineering

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In high-speed rail networks, trains are operated with high speeds and high frequencies, which can satisfy passenger demand with different expected departure times. Given time-dependent demand, this paper proposes a line planning approach with capacity constraints for high-speed rail networks. In this paper, a bilevel optimization model is formulated and the constraints include track section capacity per unit time, train seat capacity, and the gap between the number of starting trains and that of ending trains at a station. In the upper level, the objective is to minimize train operational cost and passenger travel cost, and the decision variables include the line of each train, carriage composition of each train, train stop patterns, train start times, and train arrival and departure times at stops in the line plan. In the lower level, a schedule-based passenger assignment method, which assigns time-varying demand on trains with seat capacity constraints by simulating the ticket-booking process, is used to evaluate the line plan obtained in the upper level. A simulated annealing algorithm is developed to solve the model in which some strategies are designed to search for neighborhood solutions, including reducing train carriages, deleting trains, adding trains, increasing train carriages, and adjusting train start times. Finally, an application to the Chinese high-speed rail network is presented. The numerical results show that (i) the average time deviations between the expected departure times and the actual boarding times of passengers are within 30 min, (ii) the unserved passengers are less than 200, and (iii) the average load factors of trains are about 70%. Hence, line plan solutions meet time-dependent demand well and satisfy the capacity constraints for high-speed rail networks.

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Forecasting passenger travel demand for air and high-speed rail integration service: A case study of Beijing-Guangzhou corridor, China

Cited by 68 publications

References 26 publications

A comparative study of airline efficiency in China and India: A dynamic network DEA approach

A comparative study of airline efficiency in China and India: A dynamic network DEA approach

Impacts of high-speed rail on domestic air transportation in China

A Line Planning Approach for High-Speed Rail Networks with Time-Dependent Demand and Capacity Constraints

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