Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xinzhi Zhong"'
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
Two common types of animal-vehicle collision data (reported animal-vehicle collision (AVC) data and carcass removal data) are usually recorded by transportation management agencies. Previous studies have found that these two datasets often demonstrat
Externí odkaz:
https://doaj.org/article/5c562b5fa6e44d0b8562270d0ed86f25
Publikováno v:
Journal of Advanced Transportation, Vol 2017 (2017)
Hotspot identification (HSID) is a critical part of network-wide safety evaluations. Typical methods for ranking sites are often rooted in using the Empirical Bayes (EB) method to estimate safety from both observed crash records and predicted crash f
Externí odkaz:
https://doaj.org/article/45fa4d4a46234cfbac00009488227c5f
Autor:
Yue Wu, Xinzhi Zhong
Publikováno v:
Economic and Regional Studies / Studia Ekonomiczne i Regionalne. 15:269-283
Subject and purpose of work: This article aims to better understand China’s actions and challenges encountered in sustainable development due to the COVID-19 crisis, economic difficulties, and the war between Russia and Ukraine. It also aims to pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4174dac84e34c342dc1e64e3ba0bb63
https://doi.org/10.2478/ers-2022-0019
https://doi.org/10.2478/ers-2022-0019
Publikováno v:
Journal of Transportation Engineering. Part A. Systems; Oct2023, Vol. 149 Issue 10, p1-9, 9p
Publikováno v:
IET Intelligent Transport Systems. 14:1524-1533
Examining the travel time variability (TTV) of buses, passenger cars and taxis is essential to obtain reliable travel time in urban daily trips. TTV analyses of three travel modes are conducted using travel time data collected on two urban arterial r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eb37922cf00ab6b97b476ae8b30fd44
https://doi.org/10.1049/iet-its.2019.0504
https://doi.org/10.1049/iet-its.2019.0504
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9becc28874d3d2fbf6933697174d04a8
https://doi.org/10.2139/ssrn.4213496
https://doi.org/10.2139/ssrn.4213496
Publikováno v:
Sustainability, Vol 11, Iss 2, p 418 (2019)
Sustainability
Volume 11
Issue 2
Sustainability
Volume 11
Issue 2
Wildlife‒vehicle collision (WVC) data usually contain two types: the reported WVC data and carcass removal data. Previous studies often found a discrepancy between the number of reported WVC and carcass removal data, and the quality of both dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7241dd39282f60c7e3a3150a437130bf
http://www.mdpi.com/2071-1050/11/2/418
http://www.mdpi.com/2071-1050/11/2/418
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
Two common types of animal-vehicle collision data (reported animal-vehicle collision (AVC) data and carcass removal data) are usually recorded by transportation management agencies. Previous studies have found that these two datasets often demonstrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d72348a7351b20594858ccaf3c8fd9b
Publikováno v:
Journal of Advanced Transportation, Vol 2017 (2017)
Hotspot identification (HSID) is a critical part of network-wide safety evaluations. Typical methods for ranking sites are often rooted in using the Empirical Bayes (EB) method to estimate safety from both observed crash records and predicted crash f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f90e4fa6164fdbf3b0da4040e7b764e
Publikováno v:
IET Intelligent Transport Systems (Wiley-Blackwell); Dec2020, Vol. 14 Issue 12, p1524-1533, 10p