广西师范大学学报(自然科学版) ›› 2015, Vol. 33 ›› Issue (3): 7-15.doi: 10.16088/j.issn.1001-6600.2015.03.002

• • 上一篇    下一篇

基于CA模型的海港城市空间形态演化模式研究——以天津滨海新区外生情景模拟为例

黄焕春1, 运迎霞2, 王世臻3, 屈永超2, 苗展堂2   

  1. 1.南京林业大学风景园林学院城市规划系,江苏南京210037;
    2.天津大学建筑学院城市规划系,天津300072;
    3.淄博智达建筑设计有限公司,山东淄博255000
  • 收稿日期:2015-03-30 出版日期:2015-05-10 发布日期:2018-09-20
  • 通讯作者: 运迎霞(1957—),女,天津人,天津大学教授,博导。E-mail: yungx@126.com
  • 基金资助:
    国家自然科学基金资助项目(51278330);国家社科基金重大项目资助(13&ZD162);南京林业大学人才引进启动基金(GXL017)

Urban Form Expend Model of Port City Based on CA Model under Exogenous Scenario: a Case Study in Tianjin Binhai New Zone

HUANG Huan-chun, YUN Ying-xia, WANG Shi-zhen, QU Yong-chao, MIAO Zhan-tang   

  1. 1. Department of Urban Planning, College of Landscape Architecture,Nanjing Forestry University,Nanjing Jiangsu 21003,China;
    2. Department of Urban Planning, Architecture College, Tianjin University, Tianjin 300072, China;
    3. Zibo Zhida Architectural Design Co., Ltd., Zibo Shandong 255000,China
  • Received:2015-03-30 Online:2015-05-10 Published:2018-09-20

摘要: 本文通过研究具有典型特征的天津滨海新区城市形态的快速演化过程,探索海港城市空间形态演变的过程—格局—机理,以期丰富相关基础理论,为城市规划建设布局提供科学依据。基于改进logistic-CA模型嵌入复合灰色预测方法,模拟分析1998-2014年城市空间形态历史演化,预测外生情景下2014-2030年城市形态演化。结果表明:改进模型具有很好的适应性,模拟结果显示2014-2030年5个组团将转变为两大轴带扩展,最后实现区域用地全部城市化。进而得出结论:海港城市形态演化经历4个阶段,即单核生长,组团扩展,轴带扩张,区域填充;海港城市空间形态空间演化中,表现出逐渐摆脱外部,实现独立自身发展;在外生发展模式下,城市形态易走向分散化,出现跳跃式与填充式扩展的交替。

关键词: 海港城市, 外生情景, 城市形态, logistic-CA模型, 天津滨海新区

Abstract: This paper, using the modified logistic-CA model, simulates and predicts urban morphology evolution of Tianjin Binhai New Zone from 1998 to 2030,as well as investigates the Process-pattern-Mechanism under the exogenous scenario, so as to better grasp urban form evolution regularities and enrich the basic theory. It also provides scientific proposal for urban planning and construction layout. The results show that the improved model has good adaptability. The simulation results indicate that from 2014 to 2030, the city will expand around the five clusters, then urban form achieves the connection of north-south urban development belt and Hai River development axis in the form of block filling. It can be concluded that the formevolution of coastal city will undergo four stages, namely core growth, clusters expansion, belt and axis expansion, regional filling. During the process of evolution, the city gradually gets rid of the extermal in fluence and achievse independent self-development. Under the exogenous scenarios, urban form tends to be decentralized, and change alternatively from leaping expansion to filling extension.

Key words: coastal city, exogenous scenarios, urban form, logistic-CA simulation, Tianjin Binhai New Area

中图分类号: 

  • O415.3
[1] 齐康. 城市的形态[J]. 现代城市研究,2011,30(5):92-96.
[2] PEARMAN A D.Scenario construction for transportation planning[J].Transportation Planning and Technology,1988,7:73-85.
[3] LANDIS L D.The California urban future model: a new generation of metropolitan simulation models[J].Environment and planning B: Planning and Design,1994,21(4):399-420.
[4] MOZUMDER C, TRIPATHI N K. Geospatial scenario based modelling of urban and agricultural intrusions in ramsar wetland deepor beel in northeast india using a multi-layer perceptron neural network[J].International Journal of Applied Earth Observation And Geoinformation, 2014,32(10): 92-104.
[5] 黄毅,马耀峰,薛华菊. 环渤海港口城市群旅游合作时空演变研究[J]. 地理与地理信息科学,2014,30(2):92-96.
[6] 郭月婷,廖和平,彭征. 中国城市空间拓展研究动态[J]. 地理科学进展,2009,28(3):370-375.
[7] 郭建科,韩增林. 港口与城市空间联系研究回顾与展望[J]. 地理科学进展,2010, 29(12): 1490-1498.
[8] KLOSTERMAN R E. The what if? Collaborative planning support system[J]. Environment and planning B: Planning and Design, 1999,26(3):393-408.
[9] RINGLAND G. Scenario planning: managing for the future[M]. New York: John Wiley,1998:3-15.
[10] CLARKE K C, GAYDOS L J. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for san francisco and washington/baltimore[J]. International Journal of Geographical Information Science, 1998,12(7):699-714.
[11] SANTé I, GARCíA A M, MIRANDA D, et al. Cellular automata models for the simulation of real-world urban processes: a review and analysis[J]. Landscape and Urban Planning, 2010,96:108-122.
[12] BATTY M. Generating urban forms from diffusive growth[J]. Environment and Planning A, 1991,23(4):511-544.
[13] LI X, YANG Q, LIU X. Discovering and evaluating urban signatures for simulating compact development using cellular automata[J]. Landscape and Urban Planning, 2008,86(2):177-186.
[14] 刘继生,陈彦光.基于GIS的细胞自动机模型与人地关系的复杂性研究:关于人地关系研究的技术模式探讨[J].地理研究,2002,21(2):155-162.
[15] CHENG J, MASSER I. Urban growth patter n modeling: a case study o f Wuhan city, PR China[J]. Landscape and Urban Planning, 2003, 62: 99- 217.
[16] JAMAL J A, MARCO H, WOLFGANG K. Integration of logistic regression, markov chain and cellular automata models to simulate urban expansion[J]. International Journal of Applied Earth Observation and Geoinformation. 2013, 21(4) : 265-275.
[17] 罗平,姜仁荣,李红旮,等. 基于空间Logistic和Markov模型集成的区域土地利用演化方法研究[J].中国土地科学, 2010,24(1):31-36.
[18] 吴楷钊, 吴波.基于空间相关的逻辑回归模型的城市扩展模拟[J].河南大学学报:自然科学版, 2010,40(5):265-273.
[19] 杨云龙,周小成,吴波,等.基于时空logistic回归模型的漳州城市扩展预测分析[J].地球信息科学学报,2011,13(3):374-382.
[20] 天津市滨海新区统计局.天津滨海新区统计年鉴(2014)[M].北京:中国统计出版社,2013.
[21] 全国城市规划执业制度管理委员会.城市规划原理[M]. 北京:中国计划出版社,2011:129.
[22] 邓文胜,关泽群,王昌佐.从TM影像中提取城镇建筑覆盖区专题信息的改进方法[J].应用技术, 2004,19(4): 43-46.
[23] 里奇. 自动机理论与应用[M]. 邱仲潘,米哲伟,武桂香,等译. 北京:清华大学出版社,2011:115-218.
[24] TURNER M G, O’NEILL R V, GARDNER R H, et al. Effects of changing spatial scale on the analysis of landscape pattern[J]. Landscape Ecology, 1989, 3:153-162.
[25] WU J, JELINSKI D E, LUCK M, et al. Multiscale analysis of landscape heterogeneity: scale variance and pattern metrics[J]. Geographic Information Sciences, 2000, 6(1): 6-19.
[26] WU F. A linguistic cellular automata simulation approach for sustainable land development in a fast growing region[J]. Environment and Urban Systems, 1996, 20(6): 367-387.
[27] WHITE R, ENGELEN G. Cellular automata and fractal urban form: a cellular modeling approach to the evolution of urban land-use patterns[J]. Environment and Planning, 1993, 25:1175-1199.
[28] 黄焕春, 运迎霞. 基于改进logistic-CA的城市形态多情景模拟预测方法研究[J]. 地球信息科学学报, 2013, 15 (3):380-388.
[29] 黄焕春,苗展堂,运迎霞,等. 城市扩展影响下的生态系统服务功能多情景模拟预测[J].应用生态学报,2013,24(3):697-704.
[30] 黄焕春,苗展堂,运迎霞. 天津市滨海新区城市形态演化模拟及驱动力分析[J].长江流域资源与环境,2012,21(12):1453-1461.
[31] 黎夏,叶嘉安,刘小平,等.地理模拟系统:元胞自动机与多智能体[M].北京:科学出版社,2007:201-213.
[32] 邓聚龙. 灰色数理资源科学导论[M]. 武汉:华中科技大学出版社, 2007:41-62.
[33] 胡斌,曾学贵.不等时距灰色预测模型[J].北方交通大学学报, 1998, 22(1):34-37.
[34] 熊和金,徐华中.灰色控制[M].北京:国防工业出版社, 2005:25-28.
[35] 刘涛,曹广忠.城市用地扩张及驱动力研究进展[J].地理科学进展,2010,29(8):927-934.
[36] 王婧,方创琳.城市建设用地增长研究进展与展望[J].地理科学进展,2011,30(11):1440-1448.
[37] CLARKE K C. Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San francisco and washington/baltimore[J]. International Journal of Geographical Information Science, 1998,12(7): 699-714.
[38] TOLGA ÜNLü. Transformation of a Mediterranean port city into a ‘city of clutter’: dualities in the urban landscape - the case of mersin[J]. Cities, 2013, 30(2):175-185.
[39] BANGRONG S, HONGHUI Z, YONGLE L. Spatiotemporal variation analysis of driving forces of urban land spatial expansion using logistic regression: a case study of port towns in taicang city[J]. Habitat International, 2014, 43(7):181-190.
[40] JEREMY A. Urban development strategies: the challenge of global to local change for strategic responses: an international perspective[J]. Habitat International, 1996, 20(12): 553-566.
[1] 李贤江, 石淑芹, 蔡为民, 曹玉青. 基于CA-Markov模型的天津滨海新区土地利用变化模拟[J]. 广西师范大学学报(自然科学版), 2018, 36(3): 133-143.
[2] 刘 晓,于泉洲,刘煜杰,张金萍,张怀珍,蒋习超,张二勋. 华北平原中小城市扩展的时空特征研究——以聊城市为例[J]. 广西师范大学学报(自然科学版), 2017, 35(4): 136-144.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 广西师范大学学报(自然科学版)编辑部
地址:广西桂林市三里店育才路15号 邮编:541004
电话:0773-5857325 E-mail: gxsdzkb@mailbox.gxnu.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发