PMID- 30594115
OWN - NLM
STAT- MEDLINE
DCOM- 20190924
LR  - 20190925
IS  - 1095-8630 (Electronic)
IS  - 0301-4797 (Linking)
VI  - 233
DP  - 2019 Mar 1
TI  - Leader-follower game-theoretic method towards carbon-economy trade-off in a key 
      construction project group.
PG  - 499-512
LID - S0301-4797(18)31433-6 [pii]
LID - 10.1016/j.jenvman.2018.12.024 [doi]
AB  - Due to rapid urbanization and modernization, the construction sector now 
      generates one third of all greenhouse gas emissions in China. Using an 
      equilibrium strategy combined with the carbon allowance allocation, this study 
      presents a synergistic Stackelberg model based on a construction project planning 
      framework to deal with cumulative CO(2) emissions. The bi-level model 
      simultaneously considers the sequential decision-making relationship between the 
      authority (leader) and the enterprises' interactive objectives and constraints. 
      Unlike previous research, this bi-level model gives a holistic analysis of the 
      interactivity of multiple stakeholders, thereby enabling the inherent conflicts 
      and equilibrium between environmental protection and decision makers' profits to 
      be reconciled and balanced. To deal with the bi-level model complexity, an 
      interactive solution method that integrates an evolutionary mechanism and 
      improved particle swarm optimization (IPSO) is designed for solving a 
      construction supply planning problem. The robustness and practicality of the 
      proposed methodology are then validated in a real world case, and sensitivity 
      analyses under different carbon emissions quotas are also given. The results 
      indicate that the methodology can systematically reduce carbon emissions in the 
      Chinese construction sector, and when the authority has a strict emissions 
      reduction altitude, construction practitioners are able to attain high carbon 
      efficiencies; therefore, the model provides valuable strategy guidance for 
      policymakers and business executives.
CI  - Copyright (c) 2018 Elsevier Ltd. All rights reserved.
FAU - Xu, Jiuping
AU  - Xu J
AD  - Business School, Sichuan University, Chengdu, 610064, PR China; Uncertainty 
      Decision-Making Laboratory, Sichuan University, Chengdu, 610064, PR China. 
      Electronic address: xujiuping@scu.edu.cn.
FAU - Zhu, Mengyuan
AU  - Zhu M
AD  - Business School, Sichuan University, Chengdu, 610064, PR China; Uncertainty 
      Decision-Making Laboratory, Sichuan University, Chengdu, 610064, PR China.
FAU - Zhao, Siwei
AU  - Zhao S
AD  - Business School, Sichuan University, Chengdu, 610064, PR China; Uncertainty 
      Decision-Making Laboratory, Sichuan University, Chengdu, 610064, PR China.
FAU - Xie, Yachen
AU  - Xie Y
AD  - Department of Geography, Michigan State University, MI, 48823, USA.
LA  - eng
PT  - Journal Article
DEP - 20181226
PL  - England
TA  - J Environ Manage
JT  - Journal of environmental management
JID - 0401664
RN  - 7440-44-0 (Carbon)
SB  - IM
MH  - *Carbon
MH  - China
MH  - Commerce
MH  - *Conservation of Natural Resources
OTO - NOTNLM
OT  - Carbon emissions mitigation
OT  - Construction supply planning
OT  - Stackelberg game
EDAT- 2018/12/30 06:00
MHDA- 2019/09/26 06:00
CRDT- 2018/12/30 06:00
PHST- 2018/04/26 00:00 [received]
PHST- 2018/12/03 00:00 [revised]
PHST- 2018/12/08 00:00 [accepted]
PHST- 2018/12/30 06:00 [pubmed]
PHST- 2019/09/26 06:00 [medline]
PHST- 2018/12/30 06:00 [entrez]
AID - S0301-4797(18)31433-6 [pii]
AID - 10.1016/j.jenvman.2018.12.024 [doi]
PST - ppublish
SO  - J Environ Manage. 2019 Mar 1;233:499-512. doi: 10.1016/j.jenvman.2018.12.024. 
      Epub 2018 Dec 26.