Abstract
County highway passenger transport occupied an important position in China highway transportation system. Correct forecast growth of county highway passenger transport volume was the key for county passenger planning and optimizing transport resource allocation. This paper analyzed the influence factors of county highway passenger transport volume and constructed eight regional economic and social development indexes as explanatory variables of passenger transport volume linear model. The model was calibrated by using specific county data. Linear simulation showed that the relationship between county highway passenger transport volume and explanatory variables was quantified, formation characteristics of the calibration data sources of the county highway passenger transport volume was revealed and the future years of highway passenger transport volume could be predicted.
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© 2011 Springer-Verlag Berlin Heidelberg
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Xu, S., Zhang, L., Ma, J. (2011). Study on Linear Regression Prediction Model of County Highway Passenger Transport Volume. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_25
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DOI: https://doi.org/10.1007/978-3-642-23777-5_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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