Cluster Computing

, Volume 22, Supplement 4, pp 9357–9370 | Cite as

Distinguishing investment changes in metro construction project based on a factor space algorithm

  • Dong Wang
  • Jingkuang LiuEmail author
  • Yujing Chen


Metro construction projects are characterized by long construction periods and complex construction procedures. Therefore, contract changes involve significant information. To control metro construction investment, a method to distinguish between contract changes and extract the key influencing factors is required. In this paper, contract change information is processed and analyzed based on space factors and factor base theory. Evaluation of the proposed method reveals the following. (1) The demonstrated approach is feasible for deductive to semantic reasoning to determine and describe the concepts related to contract changes. The contract changes for various metro construction projects can be distinguished and the key factors of these contract changes can be determined. (2) Under the conditions of object and factor collection, different concept grids can be obtained by sorting the diversity factors. It is found that the same factors are included in the concept grid of each object, but different factors are contained in the concept grid of the corresponding object. (3) The main factors causing investment changes for metro construction contracts include differences in geological conditions or force majeure and conflicts between professional interfaces. When additional attention is paid to change factors, contract changes can be controlled. The results of this study provide specific guidance for governments to control metro construction investment effectively.


Factor spaces Metro construction project Contract change Conceptual analysis sheet 



This paper is supported by grants from the National Natural Science Foundation of China (71501052), the Natural Science Foundation of Guangdong Province (2015A030310506), the Philosophy and Social Science Planning Program of Guangdong Province (GD16XGL38), and the Philosophy and Social Science Planning Program of Guangzhou (2016GZQN32). The authors would like to express their sincerely gratitude to Guangzhou Metro Corporation for providing the relevant contract data and financial support for the research (HT160103). The author would like to acknowledge the valuable suggestions of the editor and three anonymous reviewers.


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of ManagementGuangzhou UniversityGuangzhouPeople’s Republic of China
  2. 2.School of InsuranceGuangdong University of FinanceGuangzhouPeople’s Republic of China
  3. 3.School of ManagementGuangdong University of TechnologyGuangzhouPeople’s Republic of China

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