Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sudipta dey Tirtha"'
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 25, Iss , Pp 101063- (2024)
Driver vigilance research focuses on the safety impacts of maintaining sustained attention in underload conditions when automatic responses are adequate to the task and responses are sparse. However, urban environments have frequent risks that appear
Externí odkaz:
https://doaj.org/article/59973389fac14ff0b0ed153f3cf5aa19
Publikováno v:
Journal of Advanced Transportation, Vol 2023 (2023)
The goal of the current study is to identify and quantify the influence of various contributing factors on dockless e-scooter demand. Drawing on high-resolution e-scooter trip level data for 2019 from Austin, Texas, we develop census tract (CT) level
Externí odkaz:
https://doaj.org/article/affd5e558ad243b69624da334c7fd315
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249133 (2021)
BackgroundSeveral research efforts have evaluated the impact of various factors including a) socio-demographics, (b) health indicators, (c) mobility trends, and (d) health care infrastructure attributes on COVID-19 transmission and mortality rate. Ho
Externí odkaz:
https://doaj.org/article/0898c27ac5014933b71f9343392dbda2
Autor:
Rezaur Rahman, Jiechao Zhang, Sudipta Dey Tirtha, Tanmoy Bhowmik, Istiak Jahan, Naveen Eluru, Samiul Hasan
Publikováno v:
Journal of Big Data Analytics in Transportation. 4:135-152
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60bc6d0644f35e4c1fe23fdb42f66260
https://doi.org/10.1007/s42421-022-00059-2
https://doi.org/10.1007/s42421-022-00059-2
Publikováno v:
Transportation Research Part A: Policy and Practice. 159:169-181
In this study, we examine the influence of Coronavirus disease 2019 (COVID-19) on airline demand at the disaggregate resolution of airport. The primary focus of our proposed research effort is to develop a framework that provides a blueprint for airl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb3f27d9101ce976c60ed0ceeb6ec0e9
https://doi.org/10.1016/j.tra.2022.03.014
https://doi.org/10.1016/j.tra.2022.03.014
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 84:301-312
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::399e4263665e16fa310ad04974a9ea7b
https://doi.org/10.1016/j.trf.2021.11.012
https://doi.org/10.1016/j.trf.2021.11.012
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2675:139-153
Given the burgeoning growth in transport networking companies (TNC)-based ride hailing systems and their growing adoption for trip making, it is important to develop modeling frameworks to understand TNC ride hailing demand flows at the system level.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5b8e03eb3831ce14acd8b49f3611444
https://doi.org/10.1177/03611981211000752
https://doi.org/10.1177/03611981211000752
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. :036119812311551
In this study, we examine the factors affecting Chicago, U.S., transportation network companies (TNCs) users’ trip fare and destination choice behavior. While trip fare has been examined from various perspectives, earlier fare models have not consi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cbaa1f428a46629321e87e894fe8837
https://doi.org/10.1177/03611981231155157
https://doi.org/10.1177/03611981231155157
Publikováno v:
Journal of Air Transport Management. 106:102320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c56ce47731db72bcbde46ba39290d469
https://doi.org/10.1016/j.jairtraman.2022.102320
https://doi.org/10.1016/j.jairtraman.2022.102320
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. :036119812211300
The main goal of the current study is to identify the factors affecting flight-level airline delay by jointly modeling departure and arrival delays. Toward this end, we develop a novel copula-based group generalized ordered logit (GGOL) model system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::494e45d68695cd3cd1221f7b5c3d54c8
https://doi.org/10.1177/03611981221130031
https://doi.org/10.1177/03611981221130031