An Empirical Analysis of the Impact of Urban Land Reserve System on Housing Prices Based on Network Open Big Data

With Wuhan City Taken as an Example

DOI

10.2991/978-94-6463-030-5_36How to use a DOI?

Keywords

Urban Land Reserve System; Housing Prices; Open Network Big Data; Wuhan City

Abstract

In this paper, with the open network big data taken as a research basis and Wuhan City as a subject for empirical research, the authors select a variety of influencing factors including regional GDP, total population of the region, the per capita disposable income of residents, the per capita consumption expenditure of residents, the sales area of commercial housing and the total investment of real estate development, adopt BP artificial neural network method to forecast the real estate economy and try to demonstrate the impact of urban land reserve system on housing prices.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yan Long
AU  - Fang Wang
PY  - 2022
DA  - 2022/12/20
TI  - An Empirical Analysis of the Impact of Urban Land Reserve System on Housing Prices Based on Network Open Big Data
BT  - Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022)
PB  - Atlantis Press
SP  - 345
EP  - 353
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-030-5_36
DO  - 10.2991/978-94-6463-030-5_36
ID  - Long2022
ER  -