Analyzing Indicators Affecting Commercial Property Value in Metro Station Accessible Area Using Walking Time Consumption: Case of Xi’an, China

Joint Authors

Liu, Xingliang
Cao, Zhen
Lei, Bin
Liu, Changjiang
Jing, Lizhu

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-18

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Philosophy

Abstract EN

In studies investigating the property value enhancements along metro lines, study ranges in most cases are measured in Euclidean distance.

However, city roads are not always straight, and Euclidean distance sometimes does not equal to actual distance the passenger travels from the public transport station to their home or a commercial spot.

To solve this problem, this study analyzed the indicators affecting commercial property value in metro station accessible area in Xi’an, using walking time consumption in measuring the study range.

Following a conceptual framework, considering empirical evidences in related studies, information in city structure, and metro distribution, the initial indicator set is built.

Using hedonic price model (HPM), spatial autoregressive model (SAR), and error term (SEM), significant indicators affecting commercial property value are investigated.

In this study, 14 significant indicators are determined and quantified.

Threshold distance equals to 900 m is found to be appropriate in addressing the autocorrelation problem with the weighted decision matrix tool.

Compared to HPM and SEM, SAR is found to perform the best in evaluating the significant indicators with the largest R2 (0.415) and the lowest Akaike Info Criterion (AIC) (−395.214).

Besides, it is discovered that the value of the commercial property lies in the study range of 20 min walking time and is obviously influenced by the metro station.

The results discovered in this study could provide some empirical evidences to commercial property planning in Xi’an.

American Psychological Association (APA)

Cao, Zhen& Liu, Xingliang& Lei, Bin& Liu, Changjiang& Jing, Lizhu. 2020. Analyzing Indicators Affecting Commercial Property Value in Metro Station Accessible Area Using Walking Time Consumption: Case of Xi’an, China. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142654

Modern Language Association (MLA)

Cao, Zhen…[et al.]. Analyzing Indicators Affecting Commercial Property Value in Metro Station Accessible Area Using Walking Time Consumption: Case of Xi’an, China. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1142654

American Medical Association (AMA)

Cao, Zhen& Liu, Xingliang& Lei, Bin& Liu, Changjiang& Jing, Lizhu. Analyzing Indicators Affecting Commercial Property Value in Metro Station Accessible Area Using Walking Time Consumption: Case of Xi’an, China. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142654

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1142654