Skip to main content

Urban Dynamics Simulation Considering the Allocation of a Facility for Stopped Off

  • Conference paper
  • First Online:
Advances in Social Simulation 2015

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 528))

  • 1194 Accesses

Abstract

In this paper, we propose an agent-based urban model in which the relationship between a central urban area and a suburban area is expressed simply. Allocation and bustle of a public facility where residents stop off in daily life are implemented in the model. We clarify that transportation selection and residence selection of residents make an effect to change the urban structure and environment. We also discuss how a compact urban structure and a reduction in carbon dioxide emissions are achieved with urban development policies and improvements on attractiveness of the facility for pedestrians and cyclists. In addition, we conduct an experiment of the exclusion of cars from the center of the city. The experimental results confirmed that the automobile control measure would be effective in decreasing the use of automobiles along with a compact urban structure.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Batty, M.: Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. The MIT Press, Cambridge (2007)

    Google Scholar 

  2. Brown, D.G., Robinson, D.T.: Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl. Ecol. Soc. 11 (1), 46 (2006)

    Article  Google Scholar 

  3. Fujii, S., Someya, Y.: A behavioral analysis on relationship between individuals’ travel behavior and residential choice behavior. Infrastruct. Plan. Rev. Jpn. Soc. Civil Eng. 24, 481–487 (2007)

    Article  Google Scholar 

  4. Glaeser, E.: Triumph of the City: How Our Greatest Invention Makes US Richer, Smarter, Greener, Healthier and Happier. Pan Macmillan, London (2011)

    Google Scholar 

  5. Haase, D., Lautenbach, S., Seppelt, R.: Modeling and simulating residential mobility in a shrinking city using an agent-based approach. Environ. Modell. Softw. 25 (10), 1225–1240 (2010)

    Article  Google Scholar 

  6. Isono, Y., Kishimoto, T.: Properties of utility model and optimal location of public library considering halfway stop. Pap. City Plan. 46 (3), 415–420 (2011)

    Google Scholar 

  7. Jacobs, J.: The Death and Life of Great American Cities. Vintage, New York (1961)

    Google Scholar 

  8. Jager, W., Mosler, H.J.: Simulating human behavior for understanding and managing environmental resource use. J. Soc. Issues 63 (1), 97–116 (2007)

    Article  Google Scholar 

  9. Kaido, K.: Urban densities, quality of life and local facility accessibility in principal Japanese cities. In: Future Forms and Design for Sustainable Cities. Architectural Press, Oxford (2005)

    Google Scholar 

  10. Kazepov, Y.: Cities of Europe: Changing Contexts, Local Arrangement and the Challenge to Urban Cohesion, vol. 46. Wiley, Oxford (2011)

    Google Scholar 

  11. Kim, J.H., Pagliara, F., Preston, J.: The intention to move and residential location choice behaviour. Urban Stud. 42 (9), 1621–1636 (2005)

    Article  Google Scholar 

  12. Millward, H.: Urban containment strategies: a case-study appraisal of plans and policies in Japanese, British, and Canadian cities. Land Use Policy 23 (4), 473–485 (2006)

    Article  MathSciNet  Google Scholar 

  13. Oldenburg, R.: The Great Good Place: Café, Coffee Shops, Community Centers, Beauty Parlors, General Stores, Bars, Hangouts, and How They Get You through the Day. Paragon House Publishers, New York (1989)

    Google Scholar 

  14. Railsback, S.F., Grimm, V.: Agent-based and individual-based modeling: a practical introduction. Princeton University Press, Princeton (2011)

    MATH  Google Scholar 

  15. Rieniets, T.: Shrinking cities—growing domain for urban planning? (2005). Retrieved 11 Dec 2007

    Google Scholar 

  16. Rieniets, T.: Shrinking cities: causes and effects of urban population losses in the twentieth century. Nat. Cult. 4 (3), 231–254 (2009)

    Article  Google Scholar 

  17. Rouwendal, J., Meijer, E.: Preferences for housing, jobs, and commuting: a mixed logit analysis. J. Reg. Sci. 41 (3), 475–505 (2001)

    Article  Google Scholar 

  18. Taniguchi, T., Takahashi, Y.: Multi-agent simulation about urban dynamics based on a hypothetical relationship between individuals’ travel behavior and residential choice behavior. Trans. Soc. Instr. Control Eng. 47, 571–580 (2012)

    Article  Google Scholar 

  19. Togawa, T., Hayashi, Y., Kato, H.: A expansion of equilibrium type land use model by multi agent approach. 37th the Committee of Infrastructure Planning and Management (IP), Japan Society of Civil Engineers (2008)

    Google Scholar 

  20. Vega, A., Reynolds-Feighan, A.: A methodological framework for the study of residential location and travel-to-work mode choice under central and suburban employment destination patterns. Transp. Res. Part A: Policy Pract. 43(4), 401–419 (2009)

    Google Scholar 

  21. Zukin, S.: Naked City: The Death and Life of Authentic Urban Places. Oxford University Press, Oxford (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hideyuki Nagai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Nagai, H., Kurahashi, S. (2017). Urban Dynamics Simulation Considering the Allocation of a Facility for Stopped Off. In: Jager, W., Verbrugge, R., Flache, A., de Roo, G., Hoogduin, L., Hemelrijk, C. (eds) Advances in Social Simulation 2015. Advances in Intelligent Systems and Computing, vol 528. Springer, Cham. https://doi.org/10.1007/978-3-319-47253-9_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47253-9_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47252-2

  • Online ISBN: 978-3-319-47253-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics