Spatio-temporal analysis of rail station ridership determinants in the built environment

Author:

Zhu Yadi,Chen FengORCID,Wang Zijia,Deng Jin

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Transportation,Development,Civil and Structural Engineering

Reference46 articles.

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2. Blainey, S., Mulley, C.: Using geographically weighted regression to forecast rail demand in the Sydney region. In: Australasian Transport Research Forum, Brisbane (2013)

3. Blainey, S., Preston, J.: A geographically weighted regression based analysis of rail commuting around Cardiff, South Wales. In: 12th World Conference on Transportation Research, Portugal (2010)

4. Blainey, S.P.: Forecasting the Use of New Local Railway Stations and Services Using GIS. University of Southampton, Southampton (2009)

5. Blainey, S.P.: Trip end models of local rail demand in England and Wales. J. Transp. Geogr. 18(1), 153–165 (2010). https://doi.org/10.1016/j.jtrangeo.2008.11.002

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