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2025 Vol.43, Issue 1 Preview Page

Article

28 February 2025. pp. 63-76
Abstract
References
1

Anselin L. (1995), Local indicators of spatial association-LISA, Geogr. Anal., 27(2), 93-115.

10.1111/j.1538-4632.1995.tb00338.x
2

Anselin L. (2005), Exploring spatial data with GeoDa TM: A workbook, Center of spatially integerated social science.

3

Caspi O., Smart M. J., Noland R. B. (2020), Spatial associations of dockless shared e-scooter usage, Transp. Res. Part D: Transp. Environ., 86, 102396.

10.1016/j.trd.2020.10239632834737PMC7329686
4

Jung K. O., Lee D. Y. (2023), 2023 Personal Mobility Policy Support Project, Korea Transport Institute, Sejong, South Korea: Korea Transport Institute.

5

Kim H., Lee H., Lee C., So J. (2022), Analysis of neighbourhood environmental factors affecting personal mobility accidents, J. Korean Soc. Transp., 40(2), Korean Society of Transportation, 205-217.

10.7470/jkst.2022.40.2.205
6

Kim S. J., Koack M. J., Choo S. H., Kim S. H. (2021), Analysing spatial usage characteristics of shared e-scooter: Focused on spatial autocorrelation modeling, J. Korean Inst. Intell. Transp. Syst., 20(1), 54-69.

10.12815/kits.2021.20.1.54
7

Kim W.S., Kim D. G., Park J.S. (2022), Analysis of regional characteristics affecting vehicle inspection failure rates considering spatial autocorrelation, Trans. Korean Soc. Automot. Eng., 30(1), 19-27.

10.7467/KSAE.2022.30.1.019
8

Koack M., Choo S., Kim S. (2022), Analysis of interrelationship between bike-share and e-scooter: A case of Seocho-gu, Gangnam-gu, and Dongjak-gu, Seoul, J. Korean Soc. Transp., 40(6), Korean Society of Transportation, 832-846.

10.7470/jkst.2022.40.6.832
9

Kweon J., Lee S. (2024), Analysis of influencing factors of unauthorized electric kickboard parking by type in Seoul, Korea, J. Korea Plan. Assoc., 59(2), 104-120.

10.17208/jkpa.2024.04.59.2.104
10

Lee H. Y., Shim J. Y. (2003), GIS: Theory and practice, Seoul, South Korea: Hakjisa.

11

Lee Y. S., Jin C. J., Choo S. H. (2012), A study on spatially influencing factors about public transportations using spatial analysis: A case of Seoul, Korea. Seoul Stud., 13(4), 97-111.

12

McKenzie G. (2020), Urban Mobility in the Sharing Economy: A Spatiotemporal Comparison of Shared MobilityServices, Computers, Environment and Urban Systems, 79, 101418

10.1016/j.compenvurbsys.2019.101418
13

Park J. H. (2017), Methodology for locating and sizing public bicycle stations(Master's thesis), Department of Transportation Management, University of Seoul, Seoul, Korea.

14

Sa K., Lee S. (2018), Analysis of physical characteristics affecting the usage of public bike in Seoul, Korea: Focused on the different influences of factors by distance to bike station, J. Korea Plan. Assoc., 53(6), 39-59.

10.17208/jkpa.2018.11.53.6.39
15

Xu C., Gao J., Zuo F., Ozbay K. (2024), Estimating urban traffic safety and analyzing spatial patterns through the integration of city-wide near-miss data: A New York City case study, Appl. Sci., 14(14), 6378.

10.3390/app14146378
Information
  • Publisher :Korean Society of Transportation
  • Publisher(Ko) :대한교통학회
  • Journal Title :Journal of Korean Society of Transportation
  • Journal Title(Ko) :대한교통학회지
  • Volume : 43
  • No :1
  • Pages :63-76
  • Received Date : 2024-10-28
  • Revised Date : 2024-11-15
  • Accepted Date : 2024-12-19