International audience; Bus transit plays an important role in commuters' daily life in urban areas. The energy efficiency of bus transit impacts not only on the passengers' travel cost but also the urban environment. The traditional transit vehicles, such as Compressed Natural Gas (CNG) and diesel buses, generate massive Green House Gas (GHG) and pollutants while operating in urban streets. In contrast, zero-emission buses, such as supercharge bus and electric bus, entail environmental friendliness but require huge initial investment for fleet purchase. Conventional bus route design largely ignored the environmental factors. Thus, the air pollutions may be enhanced by the flawed design of bus stop locations because of the frequent and inefficient deceleration and acceleration at stops. In this paper, a multi-period (peak hour and off-peak hour) continuum model will be built to optimize the design of a bus route for different vehicle models (i.e., supercharge bus, electric bus, CNG, and diesel bus). Environmental cost will be explicitly considered. A case study is conducted in Yaan City (China), where the 1 st supercharge bus route is in operation. Comparing with current design, the optimal result indicates that the average stop spacing can be further reduced by up to 13%, and the peak hour headway should be further shorted, which results in less access time and waiting time. Furthermore, we examined our results against those using discrete model to verify accuracy. The results show that the outcomes of continuum and discrete model are in the neighborhood (with an error less than 3%).The proposed model and solution method are demonstrated for practical implementation in urban route design.

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Published on 01/01/2017

Volume 2017, 2017
Licence: CC BY-NC-SA license

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