Examining the influence of rural land uses and accessibility-related factors to estimate pedestrian safety: The use of GIS and machine learning techniques
Auteur(s): |
Meysam Effati
Mahyar Vahedi Saheli |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | International Journal of Transportation Science and Technology, mars 2022, n. 1, v. 11 |
Page(s): | 144-157 |
DOI: | 10.1016/j.ijtst.2021.03.005 |
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sur cette fiche - Reference-ID
10660354 - Publié(e) le:
28.03.2022 - Modifié(e) le:
28.03.2022