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Study and Application about Multi-indicator Comprehensive Evaluation Of Urban Complex Development Ability based on SPSS

Published:13 August 2021Publication History

ABSTRACT

SPSS is the general name of a series of software products and related services used for statistical analysis operations, data mining, predictive analysis and decision support tasks. This paper uses SPSS, and establishes a comprehensive evaluation index system of urban complex development ability based on the urban scale, urban economy, urban transportation, urban market and urban consumption situation. The study believes these provide scientific reference for urban decision makers to develop urban complex. Finally, taking Shanghai and Beijing as examples, the case analysis is carried out to verify the feasibility of the models, and thus result in reference suggestions for the development of urban complex in the two cities and even the whole country.

References

  1. Shanghai Commercial Development Research Center: "Report on the Development of Shanghai Urban Commercial Complex (2017-2018)", 2018.Google ScholarGoogle Scholar
  2. Shanghai Municipal People's Government: "Shanghai City Master Plan (2017-2035)", 2018.Google ScholarGoogle Scholar
  3. Shanghai Municipal Commission of Commerce: "Shanghai commercial outlets layout planning (2013-2020)", 2009Google ScholarGoogle Scholar
  4. iiMedia Research: "2019 overview research on Representative Urban Commercial Complexes in China -- Beijing, Shanghai, Chengdu and Guangzhou", 2020Google ScholarGoogle Scholar
  5. B. A. C Consulting: "Thematic Study on Urban Complex in Beijing", 2020Google ScholarGoogle Scholar

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  1. Study and Application about Multi-indicator Comprehensive Evaluation Of Urban Complex Development Ability based on SPSS

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          cover image ACM Other conferences
          ICCIR '21: Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics
          June 2021
          807 pages
          ISBN:9781450390231
          DOI:10.1145/3473714

          Copyright © 2021 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 13 August 2021

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          Acceptance Rates

          ICCIR '21 Paper Acceptance Rate131of239submissions,55%Overall Acceptance Rate131of239submissions,55%
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