The Impact of Urban Form on Travel in Korea: A Meta Analysis

Song, Jaemin

doi:10.17208/jkpa.2021.12.56.7.103

jkpa

2021

DOI: 10.17208/jkpa.2021.12.56.7.103

|View full text |Cite

The Impact of Urban Form on Travel in Korea: A Meta Analysis

Jaemin Song¹

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

The Impact of Urban Form on Travel in Korea: A Meta Analysis

Cited by 5 publications

References 20 publications

Investigating consistent effects of the urban built environment and human mobility on COVID-19 outbreaks: A comprehensive meta-analysis

Investigating consistent effects of the urban built environment and human mobility on COVID-19 outbreaks: A comprehensive meta-analysis

Analysis of the Relationship between TOD Typology and Transit Modal Split Based on Node-Place Model for Seoul Metropolitan Area

Influencing Factors of Commuting Time by Income Class : A Machine Learning Approach

Contact Info

Product

Resources

About