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Construction project is not a standalone engineering maneuver.It is closely linked to the well-being of local communities in concern.The city renovation in Beijing down center for Olympic 2008 transformed many antique architecture and regional landscape.It gave a world-recognized achievement in Chinas modem development and manifested a major milestone in Chinas economic development.In the course of metro construction projects, there are substantial interwoven municipal structures influencing the success of the projects, which including, but the least, all underground cables and ducts, sewage system, the power consumption of construction works, traffic diversion, air pollution, expatriate business activities and social security.There are many US and UK project insurance companies moving into Asia Pacific.They are doing re-insurance business on major construction guarantee, such as machinery damage, project on-time, power consumption, claims from contractors and communities.Environmental information, such as water quality, indoor and outdoor air quality, people inflow and lift waiting time play deterministic roles in constructions fit-touse.Big Data is a contemporary buzzword since 2013, and the key competence is to provide real time response to heuristic syndrome in order to make short-term prediction.This paper attempts to develop a conceptual model in big data for construction projects