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The second section introduces scenario planning and then discusses how railway executives employed scenario planning to investigate possible futures for coal demand and their impact on the railway industry.
At the same time, the transportation and urban planning fields have increasingly employed scenario planning approaches, not only to develop long-term strategy, but also potentially to strengthen organizational networks and encourage collaborative action.
The presented results in particular show how irrigation requirement in the county of Uelzen could develop in the future based on the employed scenario specifications.
They then confronted a series of policy related problems employing scenarios of their own design.
The results show that it is likely that agriculture in the county of Uelzen has to be adapted to increasing irrigation requirement in the future, if conditions develop as assumed in the employed scenarios.
The "future of fishing" (2008 2050) model employed scenarios with regions designated as MRs (closed to the fishery), fishing effort reduction (ER) and stewardship, as well as "business as usual", indicating no change in management practice.
We employ this scenario, more realistic than the simple smooth-wave test of Section 4.1.1, to measure the convergence order of the EL5 and MP5 methods.
Unlike earlier results employing a scenario approximation, we propose an offline sampling approach in the design phase instead of online scenario generation.
We employ such scenarios both to evaluate the success ratio and to analyze the network connectivity.
Next, I employ the scenarios where partial sectors and regions participate in the carbon control policies.
Wang et al. [41] reviews all recent environmental policies in China relating to the automobile industry and employs a scenario analysis to estimate different emissions inventories for different development strategies.
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