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基于多智能体的就业与居住空间演化多情景模拟——快速工业化区域研究
Multi-scenario simulations on the interactions of jobs-housing based on agent-based model

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李少英 1   黎夏 2 *   刘小平 2   吴志峰 1   艾彬 3   陈明辉 4   黎海波 4   刘萌伟 5  
文摘 就业与居住空间关系是城市规划与管理研究的热点问题。已有研究主要基于传统宏观模型对就业—居住空间结构进行现状分析或对城市理论进行实证研究,在微观尺度的机制探讨与过程模拟方面较为缺乏。本文基于多智能体自下而上的建模思想,提出基于就业市场的人口居住区位选择模型(Labor Market Based Model of Residential Location-LMBMRL)。以典型的快速工业化地区—东莞市主城区为实验区,通过多情景模拟对就业与居住空间的互动关系进行机制探讨与过程分析。模拟结果充分反映了就业选择对人口居住区位决策的影响,定量评估了住房与交通对职住空间均衡性与职住分离的影响规律。当住房成本提高时,城市职住均衡性降低;当交通可达性提高时,城市空间结构可能出现较为显著的职住分离现象。最后通过多情景模拟揭示不同行业劳动人口群体的就业—居住空间特征与组织模式。研究结果有助于深刻理解城市就业—居住空间互动关系及其内部因果,能够为城市规划与管理提供决策参考。
其他语种文摘 Jobs and housing are two major elements in urban spatial structure. The relationship between jobs and housing affects urban planning and management, and has become one of the hot topics in urban study. Most of the current researches focus on the analyses of urban spatial structure and the empirical study of urban theory based on macro-models. These models, which are traditional "top-down" approaches, have limitations in reflecting the individual behaviors. In fact, the spatial relationship of jobs-housing is the outcome of population individual behaviors including jobs selecting and residential decisions. Hence, the spatial organization of jobs-housing is difficult to simulate with those macro-models. Studies indicated that agent-based models which are "bottom-up" approaches, can offer a way to simulate the complex problems that involve individual behaviors. This paper proposes an agent-based model (Labor Market Based Model of Residential Location-LMBMRL) to simulate the interactions between jobs and housing. In this model, labor economics theory is incorporated to define the influence of labor market on job searching behaviors of population individuals. An agent-based approach is used to simulate the job searching behaviors and the residential location decisions of individuals. The proposed model is applied to the center region of Dongguan, an emerging and renowned manufacturing metropolis in the Pearl River Delta region, China. The simulated results reflect the effect of labor market on residential decisions. Quantitative analysis is carried out to assess the influence of housing cost and commuting cost on jobs-housing balance. It is found that as the housing cost rises, the relationship of jobs-housing will become less balanced. When the commuting cost is reduced, the relationship of jobs-housing will be much more imbalanced. Moreover, it has revealed the jobs-housing characteristics of population in different economic sectors through multi-scenario simulations. The study results are significant for understandings of jobs-housing organization, which can provide important guidance for urban planning and management.
来源 地理学报 ,2013,68(10):1389-1400 【核心库】
DOI 10.11821/dlxb201310008
关键词 就业市场 ; 居住区位选择 ; 多智能体 ; 就业—居住空间关系
地址

1. 广州大学地理科学学院, 广州, 510006  

2. 中山大学地理科学与规划学院, 广东省城市化与地理环境空间模拟重点实验室, 广州, 510275  

3. 中山大学海洋学院, 广州, 510275  

4. 东莞市地理信息与规划编制研究中心, 东莞, 523129  

5. 广州市房地产测绘院, 广州, 510030

语种 中文
文献类型 研究性论文
ISSN 0375-5444
基金 国家973计划 ;  国家自然科学基金项目 ;  广州市科技和信息化局国际科技交流与合作专项项目
文献收藏号 CSCD:4963449

参考文献 共 22 共2页

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引证文献 6

1 柯文前 人类时空间行为数据观测体系架构及其关键问题 地理研究,2015,34(2):373-383
CSCD被引 8

2 李少英 基于劳动力市场均衡的人口多智能体模拟--快速工业化地区研究 武汉大学学报. 信息科学版,2015,40(10):1306-1311
CSCD被引 1

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