Causes of delays in the construction phase of Chinese building projects

Abstract

Purpose-Delays during construction are one of the common scenarios in the construction industry. This research aims to identify the primary causes of delays in the construction phase of building construction projects in China. Design/methodology/approach-Questionnaire survey approach was adopted across the four typical cities in China, namely, Beijing, Shanghai, Chongqing, and Shenzhen. One hundred and fifteen sets of valid responded questionnaires were collected and analysed. Findings-The results show that the causes of variations, delays in progress payments, exceptionally low bids, and subcontractors' poor performance and communication issues were the most important causes of delays in China. Originality/value-This research is the first questionnaire survey on the causes of delays in the construction phase of building construction projects in China. The comparative analysis shows two unique causes of delays in the Chinese construction industry, such as "difficulty in claiming indemnity" and "unreasonable upfront capital demanded by client". It also reveals different ranked causes of delays as per distinguished political and economic situations in China. The research findings can be referred by construction projects in other countries that are funded or partnered with China.

A Review of Employer-Caused Delay Factors in Traditional and Building Information Modeling (BIM)-Enabled Projects: Research Framework

“…Muhwezi et al [74]; Rahimipour and Shahhosseini [77]; Tawil et al [79]; Amoatey et al [81]; Shehu et al [83]; Gajare and Attarde [85]; Bekr [87]; Khan [76]; Al-Emad and Nagapan [88]; Dontul et al [94]; Suksai et al [89]; Van [110]; Zidane and Andersen [112] It is still a fact that the employer-caused delay aspects have been either not addressed or partially addressed. For instance, Wang et al [116] have reviewed the construction delay in the Chinese building projects in which 14 employer-caused delay factors have not been considered, such as employer interference, employer variations/changes in scope, and defective materials provided by the employer.…”

Analysis of Dominant Causative Variable for Project-Based Work Delay at PT. XYZ

“…Reference [1] have studied the project delay factors in United Arab Emirates, while [2] has studied the causes delays for Chinese building projects. Those two researches have been done with national scale.…”

“…Risk should be managed to achieve lower level of risk [13] but before, the level of every identifiable risk variable should be known. To calculate the level, risk index level are used [2]. To calculate risk index, the magnitude of every risk variables and how often the risk could occur should be measured.…”

“…XYZ. All causes of delay were referred from previous studies because variables that caused delay at project must be considered to all variables [2]. However, certain filtration needed in order to achieve variables that applicable and comply with PT.…”

Lean Tools Proposal to Mitigate Delays and Cost Overruns in Construction Projects

“…Seventy-four factors were identified and classified into six groups (see Table 2). The references analyzed in this research included papers from different regions, those are cited according to the number of documents: China (Lo et al 2006) (Chiu and Lai 2017) (Chan and Kumaraswamy 1996) (Wang et al 2018), Iran (Fallahnejad 2013) (Derakhshanalavijeh and Teixeira 2017) (Shahsavand et al 2018), Nigeria, (Okpala and Aniekwu 1988) (Elinwa and Joshua 2001) (Aibinu and Odeyinka 2006), Turkey (Kazaz et al 2012) (Gunduz et al 2013) (Gunduz et al 2015), Australia (Doloi 2013) (Creedy et al 2010), India (Iyer and Jha 2006) (Doloi et al 2012), Vietnam (Le-Hoai et al 2008) (Kim et al 2017), Benin (Akogbe et al 2013), Burkina Faso (Bagaya and Song 2016), Cambodia (Santoso and Soeng 2016), Denamrk (Larsen et al 2016), Egypt (Abd El-Razek et al 2008, Malawi (Kamanga and Steyn 2013), Pakistan (Batool and Abbas 2017), Palestine (Mahamid et al 2012), Saudi Arabia (Assaf et al 1995), Tanzania (Sambasivan et al 2017), United Arab Emirates (Mpofu et al 2017), Zambia (Kaliba et al 2009), and other including diferent countries (Ahsan and Gunawan 2010) (Ruqaishi and Bashir 2015). Figure 1 shows the number of publications per deviation reported and project type.…”