An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty.

An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty.
复制标题

不确定条件下与环境和生态考虑相关的北京区间模糊土地利用分配模型(IFLAM)。

DOI:
10.1007/s11135-014-0108-6
复制
发表时间:
2015
期刊:
影响因子:
--
通讯作者:
Ghulam Akhmat
Ghulam Akhmat
中科院分区:
社会科学3区
文献类型:
--
作者:
Min Zhou;Shukui Tan;Lizao Tao;Xiangbo Zhu;Ghulam Akhmat

文献摘要

被引文献

相似文献

在本研究中,一个区间模糊土地使用分配方法(IFLAM)被开发用于城市土地使用分配系统的规划。IFLAM方法是基于区间参数规划技术和模糊柔性规划,它可以处理不确定性表示为区间值和模糊集的模型的左侧和右侧和目标函数。以北京市土地资源配置管理问题为例,说明了IFLAM方法的适用性。结果表明,优化后的$$\lambda $$ λ 值(表示所有模型约束的满足程度)在[0.67,0.89]范围内,对应的系统效益在$ [534.03,698.75] $$\times $$之间 × $10 ^{12}$$ 10 12 和$ [961.37,1028.33] $$\times ~10^{12}$$ × 10 12 第一个研究期优化的城市用地为:功能中心区[71905,77894] ha,功能延伸区[35219,39711] ha,新城区[22012,30547] ha,生态保护区[17609,22910] ha。结果表明,在不同的环境,生态和社会条件下,已经产生了合理的解决方案。该模型可以帮助决策者确定最大限度地利用北京市土地资源的备选方案,为城市土地管理决策提供服务,并有助于土地管理者在经济目标和生态环境破坏风险之间进行权衡。
In this study, an interval fuzzy land-use allocation method (IFLAM) is developed for the planning of urban land-use allocation system. The developed IFLAM method is based on interval parameter programming technique and fuzzy flexible programming, which could handle uncertainties expressed as interval values and fuzzy sets in the model’s left-and right-hand sides and objective function. A management problem for allocating land resources of Beijing, the capital of China, is studied to illustrate applicability of the proposed IFLAM approach. Results show that the optimized $$\lambda $$ λ values (which means the satisfaction degree of all model constraints) are in the range of [0.67, 0.89], and the corresponding system benefit is between $ [534.03, 698.75] $$\times $$ × $$10^{12}$$ 10 12 and $ [961.37, 1028.33] $$\times ~10^{12}$$ × 10 12 while the optimized urban land in the first studying period will be [71905, 77894] ha in the Function Central Zone, [35219, 39711] ha in the Function Extended Zone, [22012, 30547] ha in the New Urban Zone and [17609, 22910] ha in the Eco-Conservation Zone. Results indicate that reasonable solutions have been generated under various environmental, ecological and social conditions. They can help decision makers to identify desired alternatives for making the utmost of land resources of Beijing and for providing services for urban land management decisions; moreover, they are helpful for land managers to gain insight into the tradeoff between economic objective and eco-environment violation risk.