Analysis of the Spatial Effect of Urban Expressway on House Price

DOI

10.2991/aebmr.k.201211.028How to use a DOI?

Keywords

House price, urban expressway, spatial effect, geographically weighted regression

Abstract

Transportation infrastructure can affect the house price by influencing the traffic accessibility of the location. The urban expressway is an important part of the transportation infrastructure, which should have a certain impact on the house price. This paper analyses the spatial effect of urban expressway on house price by using geographically weighted regression model. Results show that the house price has a significant spatial autocorrelation effect, and the estimation result of the geographically weighted regression model is superior to the traditional hedonic model, and the spatial influence range and elastic coefficient of the expressway transportation cost on the house price are estimated. In addition, time cost can reflect transportation cost better than path cost.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Rui Shen
AU  - Ling Zhang
PY  - 2020
DA  - 2020/12/14
TI  - Analysis of the Spatial Effect of Urban Expressway on House Price
BT  - Proceedings of the Fifth International Conference on Economic and Business Management (FEBM 2020)
PB  - Atlantis Press
SP  - 152
EP  - 156
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.201211.028
DO  - 10.2991/aebmr.k.201211.028
ID  - Shen2020
ER  -