Jinan Urban Transport Research Center

Jinan, China

Jinan Urban Transport Research Center

Jinan, China
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Li J.,Sun Yat Sen University | Zhao C.-X.,Sun Yat Sen University | Tang X.-Y.,Sun Yat Sen University | Xie L.-H.,Jinan Urban Transport Research Center
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | Year: 2014

This study proposes an algorithm to estimate the parameter of Logit route choice model in urban road network with multinomial OD pairs utilizing taxi-floating car data. The relative route impedance is used and the Logit diversion parameter for whole network can be described by one unified dimensionless parameter. The discrete route choice probabilities are converted to continuous form with consideration of the weight of the numbers of trips, and a cumulative function relationship between route choice probability and relative impedance is re-derived from the original Logit route choice model. The least squares method is utilized to estimate of the unified parameter. The numerical example from taxi GPS data of Guangzhou shows that the goodness fit is excellent and the proposed algorithm is effective and convenient to model the route choice behavior with available and massive floating car data.

Liu J.,Beijing University of Technology | Guan H.,Beijing University of Technology | Qin H.,Beijing University of Technology | Xue Y.,Jinan Urban Transport Research Center | Ni Y.,Jinan Urban Transport Research Center
ICTIS 2013: Improving Multimodal Transportation Systems - Information, Safety, and Integration - Proceedings of the 2nd International Conference on Transportation Information and Safety | Year: 2013

A serious competition existed between the electric bike (e-bike) and the bus on medium and short trips. In order to ensure a safe, orderly, and smooth flow of city traffic, this paper researched thee-bike travelers' intentions and boundary conditions for the transfer to public transport. The socio-economic characteristics, traveler trip characteristics, and potential trip model choices of e-bike travelers were investigated using a questionnaire. Based on the questionnaire data, the influencing factors, such as bus fares, bus travel time, management policies and care factors on the travel model choice, were analyzed to obtain the regularity of the behavior of the users. The RP model, SP model, and the RP and SP data fusion model for e-bike travel choice were established, based on Binary LogitModel. Finally, sensitivity analysis of the factors was performed. Jinan had been chosen as a case study. The results show that: (1) the parametric test veracity of the SP and RP data fusion model is satisfied; (2) people on the sensitivity of the ticket price level far outweighs the sensitivity of the degree of time, nearly 10% of the e-bike trip to the bus transfer can be achieved by reducing fares; (3) implementing management policies, reducing bus waiting time, improving the efficiency of public transport and setting free BRT transfer points can promote people to take bus instead of e-bike. © 2013 American Society of Civil Engineers.

Ni Y.,Jinan Urban Transport Research Center | Xue Y.,Jinan Urban Transport Research Center | Liu T.,Jinan Urban Transport Research Center | Gong L.,Jinan Urban Transport Research Center | Zhou X.,Jinan Urban Transport Research Center
Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) | Year: 2014

Disaggregate-elasticity model is derived in this paper, based on the model, the fare elasticity and the travel time elasticity of Jinan bus travel demand are analyzed. The results show that the bus fare elasticity is -0.234 and the bus travel time elasticity is -0.394, which is slightly lower than the related conclusions at home and abroad. Bus travel time elasticity is higher than bus fare elasticity, which shows shortening bus travel time and improving the bus service level, will be more effective for increasing public transportation attraction.

Zhou C.,Thi Shanghai Consultants Inc. | Su Z.,Thi Shanghai Consultants Inc. | Hui Z.,Jinan Urban Transport Research Center
ICTIS 2011: Multimodal Approach to Sustained Transportation System Development - Information, Technology, Implementation - Proceedings of the 1st Int. Conf. on Transportation Information and Safety | Year: 2011

The policy of "Public Transport Priority" is a principal strategy for urban traffic development. Bus Rapid Transit (BRT) is an crucial part of city public transport. More and more cities have built and operated BRT in the world, and many cities in China have planned and built it recently. The Platform Screen Doors (PSDs) system is an important component at BRT stations, and it not only screens platform from bus lane to offer a safe and comfortable environment for passengers, but also can offer bus position information to Bus Fleet Management System (BFMS) which manage operating bus fleet. Compared with the traditional BFMS based on GPS (Global Position System), this system locates bus position of arrival/departure at station platform based on signpost technology which is similar to the Platform Screen Doors (PSDs) system. Only when the bus stops at depot within a permissible error distance, the driver can open/close PSDs using onboard transmitter to send out a signal which is received by the Platform receivers mounted at Platform edge. Using location technology of PSDs, the system of BFMS for BRT can offer bus fleet management including basic information assembly, bus real-time monitor, bus operating etc. It is applied in China's cities such as Jinan and Zhengzhou etc, and the system of BFMS for BRT offers a good assistance for BRT operator. © 2011 ASCE.

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