针对当前城市规划由“以车为本”转变为“慢行交通”导向的现状，既有规划指标已不再适用，提出了一种定量优化调整规划指标的模型与方法。首先，通过改进数据包络分析（Data Envelopment Analysis, DEA）模型评价控规下各片区既有规划指标与“慢行交通”导向下规划指标的协调程度，选出不协调的街区。其次，针对基本DEA投影模型的局限性，引入可控投影模型，并对其添加指标的C-AHP权重约束，建立改进DEA可控投影模型。再次，计算得出需要调整的指标及其调整幅度，达到“慢行交通”导向规划的目标。最后，以邯郸市南湖控规单元为例，评价既有规划指标的慢行协调性，计算得出不协调街区中各指标的调整系数和调整值。对比发现，优化后各街区的生产效率、规模效率均有提高，说明调整后的街区更符合“慢行交通”为主的规划需求，验证了优化方法的合理性和可行性。
Abstract
In view of the current situation that urban planning had changed from "car-based" to "nonmotorized traffic" guidance, and the planning indicators were no longer applicable, a method for quantitatively optimizing and adjusting planning indicators was proposed. Firstly, the coordination degree be-tween each block′s existed planning indicators and the planning indicators under "non-motorized traffic" guidance were evaluated by improved DEA model, and the uncoordinated blocks were selected. Secondly, to solve the limitation of the basic DEA projection model, the controllable projection model was introduced and the C-AHP weight constraints of the indicators were added to establish an improved controllable projection model. Then the indicators that need to be adjusted and their adjustment range were calculated to achieve the goal of "non-motorized traffic" guidance planning. Finally, taken the Nanhu units in Handan as an example, the non-motorized traffic coordination of existed planning indicators were evaluated, and the adjustment coefficients and adjustment values of various indicators in the uncoordinated blocks were calculated. Through the comparison, it is found that after optimization, the production efficiency and scale efficiency of each block have been increased, which demonstrates that the adjusted blocks are more in line with the requirements of "non-motorized traffic" planning, and verifies the rationality and feasibility of the optimization method.
关键词
城市交通 /
慢行街区优化 /
数据包络分析 /
可控投影模型 /
C-AHP
Key words
urban traffic /
non-motorized traffic block optimization /
Data Envelopment Analysis (DEA) /
controllable projection model /
specialist confidence based AHP(Analytic Hierarchy Process)
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基金
中央级公益性科研院所基本科研业务费项目（20196107）
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