The promotion of car sharing plays an important role in alleviating the urban pressure, especially in the energy saving and emission reduction in urban areas. Car sharing has been gradually becoming an important option for travel demand of residents. The logit model is widely used in the field of traffic distribution analysis. Based on the multiple logit model, this paper proposes a model of residents' travel behavior, and uses the case of Seattle area to analyze the factors that affect the travel choices of residents based on a survey. To understand users travel behavior correctly, the influence of urban traffic trend is also taken into consideration. By analyzing the final results, it is concluded that the main influential variables that promote the proportion of car sharing will have positive effect on energy saving and emission reduction.


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    Titel :

    Traveler Behavior Analysis Based on Car2Go Sharing Operation Data


    Beteiligte:
    Zhang, Weibin (Autor:in) / Song, Yuhang (Autor:in) / Qi, Yong (Autor:in) / Li, Qianmu (Autor:in) / Shen, Minglei (Autor:in)

    Kongress:

    International Conference on Transportation and Development 2018 ; 2018 ; Pittsburgh, Pennsylvania



    Erscheinungsdatum :

    12.07.2018




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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