An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data

Joint Authors

Li, Tongfei
Gao, Ge
Wang, Zhen
Liu, Xinmin

Source

Journal of Advanced Transportation

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-01-20

Country of Publication

Egypt

No. of Pages

19

Main Subjects

Civil Engineering

Abstract EN

Accessibility could reflect people’s travel convenience, cities’ livability and sustainability, and reduce the negative impacts on the environment and safety.

It is therefore a key concept in city sustainable development policies across the world.

Based on the multi-source data, this paper tries to have an empirical analysis on the urban accessibility of Qingdao city from the angles of spatial linkage strength, job-hosting ratio and distributions of large-scale hospitals and schools.

The multisource data includes navigation data, location based service (LBS) data, Point of Interest (POI) data and the census data.

The inter-city linkage strength and internal-external linkage strength are used to evaluate the spatial linkages of the urban agglomeration.

Results show that the spatial connectivity and public facilities have a very strong positive correlation with the inter-city accessibility.

Meanwhile, providing transport infrastructure and services could greatly strengthen the accessibility between two areas.

Job-housing ratio is used to analyze the distribution of residents and jobs.

Results show that the job-housing ratio declines gradually from the central urban areas to the surrounding areas.

Distributions of large-scale hospitals and schools are used to estimate the service capacity of public facilities.

Results show that public service facilities are mainly concentrated in the developed areas.

On the contrary, the other areas developed slowly due to lack of supporting service facilities.

American Psychological Association (APA)

Gao, Ge& Wang, Zhen& Liu, Xinmin& Li, Tongfei. 2020. An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1176029

Modern Language Association (MLA)

Gao, Ge…[et al.]. An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1176029

American Medical Association (AMA)

Gao, Ge& Wang, Zhen& Liu, Xinmin& Li, Tongfei. An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1176029

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1176029