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Simulation Analysis on the Effect of Market-Oriented Rental Housing Construction Policy in Nanjing

In: AI and Analytics for Smart Cities and Service Systems

Author

Listed:
  • Qi Qin

    (Nanjing University of Aeronautics and Astronautics)

  • Mingbao Zhang

    (Nanjing University of Aeronautics and Astronautics)

  • Yang Shen

    (Nanjing University of Aeronautics and Astronautics)

Abstract

In order to simulate the effect of market-oriented rental housing construction policy in Nanjing, in this article we use the multi-agent simulation modeling method to build a simulation model. The implementation effect of different policy measures is simulated by setting different parameters in the simulation model. Based on the parameters and variables formed from the questionnaire survey data in Nanjing, we run the simulation model 5 times on the Anylogic software. We conclude by formulating policy recommendations for the implementation and adjustment of the policy. The results show that the subjective factors of consumers and housing supply are crucial in the process of market-oriented rental housing construction policy. Not only the supply side and the demand side of the rental housing market should be comprehensively considered, but a variety of policies should be combined and implemented at the same time to achieve significant results.

Suggested Citation

  • Qi Qin & Mingbao Zhang & Yang Shen, 2021. "Simulation Analysis on the Effect of Market-Oriented Rental Housing Construction Policy in Nanjing," Lecture Notes in Operations Research, in: Robin Qiu & Kelly Lyons & Weiwei Chen (ed.), AI and Analytics for Smart Cities and Service Systems, pages 162-172, Springer.
    • Handle: RePEc:spr:lnopch:978-3-030-90275-9_14
    DOI: 10.1007/978-3-030-90275-9_14
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