Spatial Difference Analysis of Residents’ Car Use Based on Moran’s I: Evidence from Kunming, China
With the rapid growth of car ownership, travel behavior, and activity space of residents have changed. It is therefore valuable to explore residents’ travel mode selection and public transportation facilities services. First, a Moran index was applied to analyze this relationship with survey data from Kunming, China. Then, the Mann-Whitney U test was used to analyze differences of socio-economic attribute groups among residents in different regions. The results show that residents’ accessibility in the choice of travel mode is not an absolute factor, while travel habits have a more noticeable effect on actual travel. Further, the area with high public transport accessibility has a high car share rate, which is generally located in the area with dense urban residence and better economic conditions. Finally, based on analysis results, correspondingly effective suggestions were provided for problems in different areas, which can provide reference and support for urban planning and traffic planning.
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Supplemental Notes:
- © 2020 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Huang, Linyu
- He, Baohong
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Conference:
- 20th COTA International Conference of Transportation Professionals
- Location: Xi’an , China
- Date: 2020-8-14 to 2020-8-16
- Publication Date: 2020-8
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 3179-3190
- Monograph Title: CICTP 2020: Advanced Transportation Technologies and Development-Enhancing Connections
Subject/Index Terms
- TRT Terms: Accessibility; Automobile ownership; Mode choice; Population density; Public transit; Socioeconomic factors; Spatial analysis; Travel behavior; Vehicle sharing
- Geographic Terms: Kunming (China)
- Subject Areas: Highways; Planning and Forecasting; Public Transportation;
Filing Info
- Accession Number: 01753031
- Record Type: Publication
- ISBN: 9780784482933
- Files: TRIS, ASCE
- Created Date: Sep 25 2020 5:31PM