基于碳排放-位置分配模型的公共中心规划支持系统设计与应用研究

设计了基于碳排放-位置分配模型的公共中心规划支持系统（CELA-PCPSS），该系统可分为支撑层、数据层、模型层、功能层和表示层．其中，基于小汽车出行碳排放的位置分配模型是模型层乃至整个CELA-PCPSS的核心．CELA-PCPSS的主要功能是基于低碳视角计算出公共中心布局选址的最优位置，定量、可视化地模拟出不同公共中心布局形式下的小汽车出行碳排放空间格局与碳排放总量．以广州市为例，将CELA-PCPSS应用于其假设的公共中心规划选址中，模拟与计算出规划1~6个公共中心的最优选址位置及其相应的小汽车出行碳排放空间格局与碳排放总量．发现新增公共中心能减少小汽车出行碳排放总量，具有边际效应．因此，需综合考虑经济社会成本和人文因素来确定规划公共中心的数量和调整其选址位置，以使社会、经济和环境效益最大化．

The Study of Design and Application of CO2 Emissions-Location Allocation Model Based Public Center Planning Support System

A CO2 Emissions-Location Allocation Model Based Public Center Planning Support System (CELA-PCPSS) is developed, which is composed of support layer, data layer, model layer, function layer and presentation layer. Among them, the CO2 Emissions from Car Travel Based Location-allocation Model is the core of model layer and CELA-PCPSS. The major function of CELA-PCPSS is to calculate the optimal location of public center based on low carbon perspective, to simulate the spatial pattern of CO2 emissions from car travel and its total quantity corresponding to different public center layout form quantitatively and visually. Guangzhou is used as a case study. The optimal location of public center and its total CO2 emissions from cars are calculated and the corresponding CO2 emissions spatial pattern is simulated, corresponding to planning 1~6 public centers virtually through CELA-PCPSS. In addition, it is found that the role of creating a new public center to reduce CO2 emissions has a marginal effect. Therefore, in order to maximize the social, economic and environmental benefits, it's necessary to consider economic and social costs and humanistic factors together when the number of public centers is determined and the site location is optimized.