Skip to main content

Abstract

Present status of research on construction cost indices was discussed and the methods of cost indices were analyzed. Based on multiplicative model of economic data time series, the cost index was decomposed into seasonal factor, trend-cycle factor and irregular component. The ARIMA model was established to fit the data of the construction cost indices of Tianjin from 2007 to 2011 and the fitting and predicting result shows that performance of the ARIMA model was satisfied.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Chenwei (2009) Research on forecast of construction engineering cost indices [D]. Chongqing University, Chongqing

    Google Scholar 

  • Daode Zhang (2009) Prediction and analysis of highway construction indicies [J]. China Price, 6:38–40

    Google Scholar 

  • Long Huidian, Zhang Haiyan (2007) ARIMA-based forecast of Guangzhou commercial housing price [J]. Bus Res 7(363):211–213

    Google Scholar 

  • Wang Chunfeng, Songwei (2007) Application of chaotic time series analysis method in GDP forecast [J]. J Tianjin Univ (Social Science edition) 2(9):137–139

    Google Scholar 

  • Wangjing, Tianpeng (2005) Application of wavelet neural network in real estate price index forecast [J]. Comput Simul 7(22):96–98

    Google Scholar 

  • Wu Xuewei (2009) Research on residential engineering cost indicators and indices [D]. Chongqing University, Chongqing

    Google Scholar 

  • Yangnan, Xing Licong (2006) Application of Gray-Markov model in housing price forecast [J]. Stat Inf Forum 5(21):52–55

    Google Scholar 

  • You Meifang, Huangmin, Chengli (2009) Empirical study on commercial housing price index predication in Sichuan Province based on ARIMA model [J]. China Price 6:38–40

    Google Scholar 

  • Zhang Cuiqing (2010) Applied research on construction cost indicators and indices [J]. Eng Constr 4(24):556–558

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fei-peng Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, Fp., Wang, Hl. (2013). Study on Forecast of Tianjin Construction Cost Indices Based on ARIMA Model. In: Dou, R. (eds) Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33012-4_67

Download citation

Publish with us

Policies and ethics