Frontiers of Engineering Management

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Relationship between the development of energy and mineral resources and ecological conservation redline
Dawei ZHANG
Front. Eng    https://doi.org/10.1007/s42524-019-0077-5
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From a philosophical point of view, this study discusses the dialectical relationship between the development of energy and mineral resources and the ecological conservation redline. We propose that the ecological conservation redline and the development of energy and mineral resources should be guided by ecological civilization construction, that is, the energy and mineral resources should be rationally developed under the condition that the ecological environment is protected. This study analyzes the influence of the development of energy and mineral resources on the ecological environment. The handling of mining rights within the ecological conservation redline based on the law and the reduction of the influence of the development of energy mineral resources on the ecological environment by science and technology are presented. The environmental assessment system and technical standards for energy and mineral development are suggested to implement policies and measures for the disposal of mining rights within the redline and facilitate technological innovations of ecological conservation for energy and mineral development. Hence, a coordinated development between the ecological conservation redline and the development of energy and mineral resources can be promoted.

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West-East Gas Pipeline Project
Junqiang ZHANG, Honglong ZHENG, Wenyuan HE, Weihe HUANG
Front. Eng    https://doi.org/10.1007/s42524-019-0056-x
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Distributed governance of Solar Radiation Management geoengineering: A possible solution to SRM’s “free-driver” problem?
Andrew LOCKLEY
Front. Eng    https://doi.org/10.1007/s42524-019-0055-y
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Geoengineering (deliberate climate modification) is a possible way to limit Anthropogenic Global Warming (AGW) (Shepherd, 2009; National Research Council, 2015). Solar Radiation Management geoengineering (SRM) offers relatively inexpensive, rapid temperature control. However, this low cost leads to a risk of controversial unilateral intervention—the “free-driver” problem (Weitzman, 2015). Consequently, this creates a risk of counter-geoengineering (deliberate warming) (Parker et al., 2018), resulting in governance challenges (Svoboda, 2017) akin to an arms race. Free-driver deployment scenarios previously considered include the rogue state, Greenfinger (Bodansky, 2013), or power blocs (Ricke et al., 2013), implying disagreement and conflict. We propose a novel distributed governance model of consensually-constrained unilateralism: Countries’ authority is limited to each state’s fraction of the maximum realistic intervention (e.g., pre-industrial temperature). We suggest a division of authority based on historical emissions (Rocha et al., 2015)—noting alternatives (e.g., population). To aid understanding, we offer an analogue: An over-heated train carriage, with passenger-controlled windows. We subsequently discuss the likely complexities, notably Coasian side-payments. Finally, we suggest further research: Algebraic, bot and human modeling; and observational studies.

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Real option-based optimization for financial incentive allocation in infrastructure projects under public–private partnerships
Shuai LI, Da HU, Jiannan CAI, Hubo CAI
Front. Eng    https://doi.org/10.1007/s42524-019-0045-0
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Financial incentives that stimulate energy investments under public–private partnerships are considered scarce public resources, which require deliberate allocation to the most economically justified projects to maximize the social benefits. This study aims to solve the financial incentive allocation problem through a real option-based nonlinear integer programming approach. Real option theory is leveraged to determine the optimal timing and the corresponding option value of providing financial incentives. The ambiguity in the evolution of social benefits, the decision-maker’s attitude toward ambiguity, and the uncertainty in social benefits and incentive costs are all considered. Incentives are offered to the project portfolio that generates the maximum total option value. The project portfolio selection is formulated as a stochastic knapsack problem with random option values in the objective function and random incentive costs in the probabilistic budget constraint. The linear probabilistic budget constraint is subsequently transformed into a nonlinear deterministic one. Finally, the integer non-linear programming problem is solved, and the optimality gap is computed to assess the quality of the optimal solution. A case study is presented to illustrate how the limited financial incentives can be optimally allocated under uncertainty and ambiguity, which demonstrates the efficacy of the proposed method.

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Techno-economic analysis of the adoption of electric vehicles
Donald KENNEDY, Simon P. PHILBIN
Front. Eng    https://doi.org/10.1007/s42524-019-0048-x
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Significant advances in battery technology are creating a viable marketspace for battery powered passenger vehicles. Climate change and concerns over reliable supplies of hydrocarbons are aiding in the focus on electric vehicles. Consumers can be influenced by marketing and emotion resulting in behaviors that may not be in line with their stated objectives. Although sales of electric vehicles are accelerating, it may not be clear that purchasing an electric vehicle is advantageous from an economic or environmental perspective. A techno- economic analysis of electric vehicles comparing them against hybrids, gasoline and diesel vehicles is presented. The results show that the complexity of electrical power supply, infrastructure requirements and full life cycle concerns show that electric vehicles have a place in the future but that ongoing improvements will be required for them to be clearly the best choice for a given situation.

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Generic and SME-specific factors that influence the BIM adoption process: an overview that highlights gaps in the literature
Elodie HOCHSCHEID, Gilles HALIN
Front. Eng    https://doi.org/10.1007/s42524-019-0043-2
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Building information modeling/management (BIM) is an emerging technological and procedural shift in the architecture, engineering, construction and operation industry. In this study, we use an extensive state-of-the-art method to clarify the BIM adoption process and the factors that can influence the success or failure of BIM adoption, particularly during the implementation stage, which are not frequently found in the literature. As an innovation, the lexical field allocated to the spread of innovations is assigned to BIM (diffusion, adoption, and implementation). After recalling the definition of relevant terms and then removing the resulting inconsistencies in vocabularies, we investigate various studies to identify factors that influence BIM adoption and then unify all these studies in one coherent and consistent BIM adoption process model. We focus on factors that play a role in the adoption of BIM in small- and medium-sized enterprises (SMEs) because SMEs constitute the majority of companies in the construction sector. This research highlights and intends to fill in some gaps found in the current BIM adoption literature.

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Research on the ecological compensation standard of the basin pollution control project based on evolutionary game theory and by taking Xiangjiang River as a case
Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN
Front. Eng    https://doi.org/10.1007/s42524-019-0044-1
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Ecological compensation is a new resource and environment management model. As one of the main areas for implementing ecological compensation policies, basin ecological compensation has become an important measure for encouraging basin pollution control projects and improving the quality of regional economic development. By applying the basic game analysis of evolutionary game theory and building an evolutionary game model with a “reward–punishment” mechanism, this paper compares the interest-related decision-making behaviors of the upstream and downstream stakeholders of basin ecological compensation. By using data on the water quality of Xiangjiang River Basin, this paper calculates the rewards and penalties in different intervals by building a parametric regression mathematical model and employing the local linear regression method. Results show that a decline in water quality should be fined RMB 925500 yuan, an improvement in water quality should be awarded RMB 1227800 yuan, and a deteriorating water quality should be severely fined RMB 5087600 yuan.

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Owner-dominated building information modeling and lean construction in a megaproject
Mingyue LI, Zhuoling MA, Xi TANG
Front. Eng    https://doi.org/10.1007/s42524-019-0042-3
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The integration of building information modeling (BIM) and lean construction (LC) provides a solution for the management of megaprojects. Previous studies have generally focused on the theoretical or empirical adoption of BIM and LC. Moreover, only a few studies have examined the approach of simultaneously using BIM and LC in megaprojects. Therefore, an intensive study on the application of BIM and LC in megaprojects, particularly to explore considerably effective integrated application modes of BIM and LC in megaprojects, will substantially promote the management efficiency of megaprojects. The current study describes a method that integrates owner-dominated BIM and LC that was developed in a case study. The proposed method provides a framework for all stakeholders to use BIM and LC in a megaproject dominated by the owner. The interactional relations among the owner, BIM, and LC were analyzed and positive interactions were identified. These positive interactions served as a basis for the implementation of this integrated approach in a case study and could be applied to other megaprojects. The megaproject (i.e., airport construction project) was examined to verify the performance of the developed method. Results showed that the integration of BIM and LC dominated by the owner can improve management performance and achieve high quality standard.

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