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An application of system dynamics for evaluating planning alternatives to guide a green industrial transformation in a resource-based city

机译:系统动力学在评估替代方案中的应用,以指导资源型城市的绿色产业转型

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摘要

A number of resource-based cities have suffered from unsustainable industrial pathways and aggravated environmental devastation. For such types of cities, especially in developing countries, it is imperative to launch a green industrial transformation that calls for considering more alternatives that involve environmental concerns in the planning process. This study aims to develop a system dynamics model for evaluating different planning alternatives concerning three prominent factors: industrial scale, structure, and efficiency; the findings are expected to assist decision-makers with a wider perspective in retrofitting the industrial system. Linfen, a typical Chinese resource-based city, is taken as a case. The results showed that compared with structure adjustment and technical progress, scale control should be taken as the foremost transformation measure for some cities with more excessive industrial capacities or in even worse environmental situations. For Linfen, the production capacities of its four main industries, i.e., coking, iron making, steel making and coal-power generation, need to be cut down, respectively, by 18.0%, 8.6%, 12.7% and 64.2% compared to the local industrial department's preferred options. Because of its capability to depict sophisticated interactions of environmental issues and industrial factors under diversified circumstances, alternative evaluation with the SD model is of great potential for delivering more integrated knowledge to decision-makers in industrial planning towards green transformation. (C) 2015 Elsevier Ltd. All rights reserved.
机译:许多资源型城市遭受了不可持续的工业发展道路和严重的环境破坏。对于这类城市,特别是在发展中国家,必须进行绿色工业转型,要求在规划过程中考虑更多涉及环境问题的替代方案。本研究旨在建立一个系统动力学模型,以评估涉及以下三个主要因素的不同计划替代方案:工业规模,结构和效率;这些发现有望帮助决策者从更广阔的角度来改造工业系统。以典型的中国资源型城市临fen市为例。结果表明,与结构调整和技术进步相比,对于一些产能过剩甚至环境状况更差的城市,规模控制应作为首要的转型措施。对于临fen而言,其炼焦,炼铁,炼钢和燃煤发电这四个主要行业的生产能力分别需要削减18.0%,8.6%,12.7%和64.2%。当地工业部门的首选方案。由于具有描述多种环境下环境问题和工业因素之间复杂相互作用的能力,SD模型的替代评估具有很大的潜力,可以为工业规划中的决策者向绿色转型提供更多综合知识。 (C)2015 Elsevier Ltd.保留所有权利。

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