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
查看参考文献22篇
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文摘
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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。 |
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其他语种文摘
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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. |
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来源
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地理学报
,2013,68(10):1389-1400 【核心库】
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DOI
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10.11821/dlxb201310008
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关键词
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就业市场
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居住区位选择
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多智能体
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就业—居住空间关系
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地址
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1.
广州大学地理科学学院, 广州, 510006
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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
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中山大学海洋学院, 广州, 510275
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东莞市地理信息与规划编制研究中心, 东莞, 523129
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广州市房地产测绘院, 广州, 510030
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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0375-5444 |
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基金
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国家973计划
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国家自然科学基金项目
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广州市科技和信息化局国际科技交流与合作专项项目
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文献收藏号
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CSCD:4963449
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参考文献 共
22
共2页
|
|
1.
周素红. 转型期广州城市居民居住与就业地区位选择的空间关系及其变迁.
地理学报,2010,65(2):191-201
|
被引
48
次
|
|
|
|
|
2.
孟斌. 北京城市居民职住分离的空间组织特征.
地理学报,2009,64(12):1457-1466
|
被引
57
次
|
|
|
|
|
3.
Kain J F. Housing segregation, Negro unemployment and metropolitan segregation.
Quarterly Journal of Economics,1968,82:175-197
|
被引
84
次
|
|
|
|
|
4.
刘志林. 空间错位理论研究进展与方法论评述.
人文地理,2010,25(1):1-5
|
被引
28
次
|
|
|
|
|
5.
Wang D G. The jobs-housing relationship and commuting in Beijing, China: The legacy of Danwei.
Journal of Transport Geography,2009,17:30-38
|
被引
20
次
|
|
|
|
|
6.
Zhao P J. Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era.
Journal of Transport Geography,2011,19:59-69
|
被引
9
次
|
|
|
|
|
7.
Sanders L. SIMPOP: A multi agent system for the study of urbanism.
Environment and Planning B,1997,24(2):287-305
|
被引
12
次
|
|
|
|
|
8.
Benenson I. Multi-agent simulations of residential dynamics in the city.
Computation, Environment and Urban Systems,1988,22(1):25-42
|
被引
35
次
|
|
|
|
|
9.
Ligtenberg A. Multi-actor-based land use modeling: Spatial planning using agents.
Landscape and Urban Planning,2001,56:21-33
|
被引
42
次
|
|
|
|
|
10.
Li X. Embedding sustainable development strategies in agent-based models for use as a planning tool.
International Journal of Geographical Information Science,2008,22:21-45
|
被引
16
次
|
|
|
|
|
11.
Benenson I. Entity-based modeling of urban residential dynamics: The case of Yaffo.
Environment and Planning B,2002,29:491-512
|
被引
19
次
|
|
|
|
|
12.
Barros J. Simulating urban dynamics in Latin American cities.
Proceedings of the 7th International Conference on GeoComputation,2003
|
被引
2
次
|
|
|
|
|
13.
陶海燕. 基于多智能体的地理空间分异现象模拟——以城市居住空间演变为例.
地理学报,2007,62(6):579-588
|
被引
20
次
|
|
|
|
|
14.
刘小平. 基于多智能体的居住区位空间选择模型.
地理学报,2010,65(6):695-707
|
被引
36
次
|
|
|
|
|
15.
Silveira J J. Agent-based model to rural-urban migration analysis.
Physics A,2005,24:210-240
|
被引
1
次
|
|
|
|
|
16.
McConnell C R.
Contemporary Labor Economics,2005
|
被引
1
次
|
|
|
|
|
17.
杨河清.
劳动经济学,2002
|
被引
5
次
|
|
|
|
|
18.
Day R H. Instability in rural-urban migration.
The Economic Journal,1987,97(12):94-99
|
被引
2
次
|
|
|
|
|
19.
Espindola A L. A Harris-Todaro agent-based model to rural-urban migration.
Brazilian Journal of Physics,2006,36(3):603-609
|
被引
1
次
|
|
|
|
|
20.
Peng Z R. The jobs-housing balance and urban commuting.
Urban Studies,1997,34(8):1215-1235
|
被引
31
次
|
|
|
|
|
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