Examining the influence of rural land uses and accessibility-related factors to estimate pedestrian safety: The use of GIS and machine learning techniques
Author(s): |
Meysam Effati
Mahyar Vahedi Saheli |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | International Journal of Transportation Science and Technology, March 2022, n. 1, v. 11 |
Page(s): | 144-157 |
DOI: | 10.1016/j.ijtst.2021.03.005 |
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data sheet - Reference-ID
10660354 - Published on:
28/03/2022 - Last updated on:
28/03/2022