Construction of Urban Planning Supporting System Using Genetic Algorithm Responding to Urban Decentralization: Case of Kanazawa City
Publication: Journal of Urban Planning and Development
Volume 146, Issue 4
Abstract
In this research, from a macro perspective, we studied the impact of urban development planning on population changes in central urban areas. Regional development plans have different aggregation modes and different development structures for different functional areas. This difference was evaluated as a different development model. Kanazawa was used as a case study area, and the corresponding development plan was determined by different development models. Set up three development modes of concentrated central urban area development mode, decentralized central urban area development mode, and maintenance-oriented central urban area development mode. Under the guidance of three different development modes, calculation and analysis are performed using genetic algorithms. The population recovery, the degree of land-use mix, and the degree of land-use specialization in the central urban area are three indicators. On this basis, a land-use planning support system has been developed.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This research was supported by the National Key R&D Program of China “Optimization Technology for Urban New District Planning and Design” (2018YFC0704600).
Notation
The following symbols are used in this paper:
- Acom
- area of the commercial area;
- Aur
- area of the urban road;
- Dcen
- distance away from the center area;
- Dhar
- distance away from the harbor area;
- Dmar
- distance away from the market area;
- Dsta
- distance away from the station area;
- DEpop
- density of population;
- DEres
- density of resident;
- F
- volume of facility.
- Gind
- industrial group;
- L
- labor population;
- Lp
- land price;
- Lu
- land use;
- NUM2
- volume of the second industry;
- NUM3
- volume of the third industry;
- Pcom
- increase of the commercial profit;
- R
- water, electricity, gas resource; and
- Zcom
- land use.
References
Audirac, I. 2005. “Information technology and urban form: Challenges to smart growth.” Int. Reg. Sci. Rev. 28 (2): 119–145. https://doi.org/10.1177/0160017604273624.
Breheny, M. 1995. “The compact city and transport energy consumption.” Trans. Inst. Br. Geogr. 20: 81–101. https://doi.org/10.2307/622726.
Burton, E. 2000. “The compact city: Just or just compact? A preliminary analysis.” Urban Stud. 37 (11): 1969–2006. https://doi.org/10.1080/00420980050162184.
de Roo, G., and D. Miller (Eds.). 2000. Compact Cities and Sustainable Urban Development. London, UK: Routledge. https://doi.org/10.4324/9781315189369.
Dantzig, G. B., and T. L. Saaty. 1973. Compact city: Plan for a liveable urban environment. New York: W. H. Freeman.
Dong, W., P. Zanchetta, and D. W. Thomas. 2010. “Identification of electrical parameters in a power network using genetic algorithms and transient measurements.” COMPEL 29 (1): 235–249. https://doi.org/10.1108/03321641011008073.
Handy, S. L. 1992. “Regional versus local accessibility: Neo-traditional development and its implications for non-work travel.” Built Environ. 18 (4): 253–267. https://doi.org/ 10.2307/23288518.
Horita, A., S. Sato, Y. Kobayashi, and T. Takatsuka. 1999. “Location analysis of in the commercial institution using Geographic Information System: A study on large scale store in Oita city (Part 1).” In Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan. F-1, Urban Planning, Building Economics and Housing Problems, 705–706. Tokyo, Japan: Architectural Institute of Japan.
Jacobs, J. 2016. The death and life of great American cities. New York: Vintage.
Jenks, M., E. Burton, and K. Williams. 1997. The compact city: A sustainable urban form. London: Taylor & Francis.
Johnson, P., et al. 2014. “Genetic algorithm with logistic regression for prediction of progression to Alzheimer’s disease.” BMC Bioinf. 15 (16): S11. https://doi.org/10.1186/1471-2105-15-S16-S11.
Kanazawa Intensive City Formation Planning Committee. 2015. Kanazawa city intensive city formation plan. Kanazawa, Japan: Urban Development Bureau of Kanazawa.
Kataoka, H., S. Hagishima, and N. Satani. 1997. “A study on the retail facility location model 1.” In Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan. F-1, Urban Planning, Building Economics and Housing Problems, 579–580. Tokyo, Japan: Architectural Institute of Japan.
Kiyonobu, K. 2007. コンパクトシティの計画とデザイン. Kyoto, Japan: Gakugei Shuppansha.
Kobayashi, Y., et al. 1997. “Expert system for industrial locating plan: Expert system for industrial development planning with environmental management: Application to developing countries.” In Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan. F-1, Urban Planning, Building Economics and Housing Problems, 591–592. Tokyo, Japan: Architectural Institute of Japan.
MIC (Ministry of Internal Affairs and Communications). 2010. Population census 2010. Tokyo: MIC.
Mimura, M., and T. Osaragi. 1999. “Residential choice behavior and expected utility.” In Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan. F-1, Urban Planning, Building Economics and Housing Problems, 75–76. Tokyo, Japan: Architectural Institute of Japan.
MLIT (Ministry of Land, Infrastructure, Transport and Tourism). 2011. National land numerical information. Tokyo: MLIT.
Piwonska, A., F. Seredynski, and M. Szaban. 2013. “Learning cellular automata rules for binary classification problem.” J. Supercomput. 63 (3): 800–815. https://doi.org/10.1007/s11227-012-0767-9.
Rueda, S. 2000. “City models: Basic indicators.” Quad. D’Arqui. I Urban. 225: 25–32.
Sampson, J. R. 1976. Adaptation in natural and artificial systems (John H. Holland). Philadelphia: Society for Industrial and Applied Mathematics.
Satani, N., S. Hagishima, and H. Kataoka. 1997. “A study on The retail facility location model 2.” In Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan. F-1, Urban Planning, Building Economics and Housing Problems, 581–582. Tokyo, Japan: Architectural Institute of Japan.
Stanilov, K., and L. Sýkora. 2014. Confronting suburbanization: Urban decentralization in postsocialist Central and Eastern Europe. Hoboken, NJ: Wiley.
Takatsuka, T., S. Sato, Y. Kobayashi, and A. Horita. 1999. “Location analysis of the commercial institution using GIS (part-2): A study on large scale store in Oita city.” In Summaries of Technical Papers of Annual Meeting Architectural Institute of Japan. F-1, Urban Planning, Building Economics and Housing Problems, 707–708. Tokyo, Japan: Architectural Institute of Japan.
Uetake, T., M. Kawakami, N. Utsu, and H. Kameyama. 2005. “Study on actual condition and evaluation of housing activity promotion projects in Kanazawa City.” J. City Plann. Inst. Jpn. 40: 589–594. https://doi.org/10.11361/journalcpij.40.3.589.
Urban Development Bureau of Kanazawa. 2009. Kanazawa urban planning basic survey. Kanazawa, Japan: Urban Development Bureau of Kanazawa.
Williams, K. 1999. “Urban intensification policies in England: problems and contradictions.” Land Use Policy 16 (3): 167–178. https://doi.org/10.1016/S0264-8377(99)00010-1.
Williams, P. A., and A. S. Fotheringham. 1984. The calibration of spatial interaction models by maximum likelihood estimation with program SIMODEL. Bloomington, IN: Dept. of Geography, Indiana Univ.
Information & Authors
Information
Published In
Copyright
© 2020 American Society of Civil Engineers.
History
Received: Mar 3, 2020
Accepted: Jul 16, 2020
Published online: Sep 25, 2020
Published in print: Dec 1, 2020
Discussion open until: Feb 24, 2021
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.