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Adaptive forecasting of induced traffic volume based on induced economic growth

  • Xin Miao*
  • , Bao Xi
  • , Hui Min Zou
  • *Corresponding author for this work
  • School of Management, Harbin Institute of Technology
  • Nankai University

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The objective of this chapter is to study the quantitative forecasting method of induced traffic volume in Chinese situation. With sufficient consideration of the mechanism and evolution of induced traffic, the relation between induced traffic volume and induced economic growth is discovered. Considering their close relation, adaptive forecasting of induced traffic volume in keeping with induced economic growth is feasible. Accordingly, the modified spatial economic approachable model is adopted to bring forward the forecasting method. The technical route is expounded step by step. Empirical study is provided by preliminary test of the method on the Ha-Shuang freeway. The test result shows the applicability of the proposed method.

Original languageEnglish
Title of host publicationFocus on Information, Intelligence and Knowledge
PublisherNova Science Publishers, Inc.
Pages171-180
Number of pages10
ISBN (Print)9781612099798
StatePublished - 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • Economic growth
  • Empirical study
  • Forecasting
  • Freeway
  • Induced traffic volume
  • Infrastructure
  • Mathematical model
  • Spatial economics

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