Comparative Analysis of the Public Transit Modes Based on Urban Area Location Theory

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 419)


Different characteristics of transportation supply and demand in the big cities and small or medium-sized cities determine different public transportation modes supported the TOD. Many new districts are becoming the main location of urban spatial expansion, and also the most important areas in the process of urbanization. Planning and construction of new district have become the important means and opportunity to restructure the city space. TOD concept is easier to achieve in the new district. Based on the location character of new district, from the perspective of work and living balancing, the suitability was analyzed between rail transit and BRT. Utility analysis was adopted to study the main factors of affecting BRT and conventional public transit utility value. By comparison, BRT is more suitable as the backbone to orient new district development.


New district Transit-oriented development Bus rapid transit Utility 



This work is supported by National Natural Science Foundation of China 51408314.


  1. 1.
    Chen, T., X. Liu, and X. Chen. 2009. Existing problems of urban bus-priority and its countermeasures. Technology & Economy in Areas of Communications 2: 72–73.Google Scholar
  2. 2.
    Wei, H., and D. Dong. 2007. The study of BRT promoting TOD in China. Traffic and Transportation 7: 23–25.Google Scholar
  3. 3.
    Chan, C., J. Misener, and J. Lins. 2003. Smart buses, smart intersection shine at Washington IVI meeting. Intellimotion 10 (3). California PATH.Google Scholar
  4. 4.
    Ben-Akiva, M., and S. Lerman. 1985. Discrete choice analysis theory and application to predict travel demand. Cambridge: MIT Press.Google Scholar
  5. 5.
    Domenich, T., and D. McFadden. 1996. Urban travel demand: A behavioral analysis. North-Holland, New York (reprinted).Google Scholar
  6. 6.
    Kumar, A. 1980. Use of incremental form of logit models in demand analysis. Transportation Research Record 775. TRB, National Research Council, Washington, D.C., 21–27.Google Scholar

Copyright information

© Springer Science+Business Media Singapore 2018

Authors and Affiliations

  1. 1.School of Automobile and Traffic EngineeringNanjing Forestry UniversityNanjingChina

Personalised recommendations