Matches in SemOpenAlex for { <https://semopenalex.org/work/W4214898681> ?p ?o ?g. }
- W4214898681 endingPage "22" @default.
- W4214898681 startingPage "11" @default.
- W4214898681 abstract "The pandemic COVID-19 which has spread over the world in early 2020 has caused significant impacts not only on health and life, but also on production activities and freight work. However, few studies were about the effect of COVID-19 on the performance of cities' logistics. Hence, this study focuses on the Belt and Road Initiative (BRI) and compares the changes in logistics performance from a spatial perspective caused by COVID-19 that are reflected on the highway freight between its 18 node cities in 2019 and 2020 of the same periods for 72 days. This study uses the entropy weight method to reflect the impact that COVID-19 has caused to the logistics level. Based on the modified gravity model, the impact on the logistics spatial connection between node cities was analyzed. These two aspects have been combined to analyze the logistics performance. The results show that the node cities have been affected by COVID-19 dissimilarly, and the impact has regional characteristics. The logistics level and spatial connection of Wuhan are the most seriously declined. The decline in logistics level has the same spatial variation law as the confirmed cases. The logistics connection between Wuhan and the surrounding node cities and the three-node cities in the northeast of China are also severely affected by the pandemic because of the expressway control policies. The regional distribution of logistics performance has differences, and the correlation of the logistics level and logistics spatial connection decreases. Besides, this study puts forward different recovery suggestions and policies for different belts in the BRI, such as focusing on restoring areas and giving full play to the role of the Chengdu-Chongqing urban agglomeration and logistics corridor. Finally, further provides corresponding suggestions for reducing the impact of emergencies from the perspectives of logistics hubs." @default.
- W4214898681 created "2022-03-05" @default.
- W4214898681 creator A5010116192 @default.
- W4214898681 creator A5017617925 @default.
- W4214898681 creator A5052810251 @default.
- W4214898681 creator A5057962744 @default.
- W4214898681 creator A5066332067 @default.
- W4214898681 creator A5068016934 @default.
- W4214898681 date "2022-05-01" @default.
- W4214898681 modified "2023-10-13" @default.
- W4214898681 title "How does COVID-19 pandemic impact cities' logistics performance? An evidence from China's highway freight transport" @default.
- W4214898681 cites W1904545932 @default.
- W4214898681 cites W1936624765 @default.
- W4214898681 cites W1985533738 @default.
- W4214898681 cites W2019972599 @default.
- W4214898681 cites W2034556874 @default.
- W4214898681 cites W2037016320 @default.
- W4214898681 cites W2061011142 @default.
- W4214898681 cites W2070957671 @default.
- W4214898681 cites W2318951588 @default.
- W4214898681 cites W2325056376 @default.
- W4214898681 cites W2460275961 @default.
- W4214898681 cites W2561861946 @default.
- W4214898681 cites W2750388531 @default.
- W4214898681 cites W2776265814 @default.
- W4214898681 cites W2789732655 @default.
- W4214898681 cites W2803025171 @default.
- W4214898681 cites W2883158072 @default.
- W4214898681 cites W2898760948 @default.
- W4214898681 cites W2901666812 @default.
- W4214898681 cites W2920760929 @default.
- W4214898681 cites W2969606744 @default.
- W4214898681 cites W2985205336 @default.
- W4214898681 cites W3004185229 @default.
- W4214898681 cites W3009020762 @default.
- W4214898681 cites W3009946390 @default.
- W4214898681 cites W3013474995 @default.
- W4214898681 cites W3013594674 @default.
- W4214898681 cites W3015292533 @default.
- W4214898681 cites W3020377681 @default.
- W4214898681 cites W3020467411 @default.
- W4214898681 cites W3021923959 @default.
- W4214898681 cites W3022474009 @default.
- W4214898681 cites W3034305671 @default.
- W4214898681 cites W3035706118 @default.
- W4214898681 cites W3037244652 @default.
- W4214898681 cites W3038193149 @default.
- W4214898681 cites W3039057212 @default.
- W4214898681 cites W3039205997 @default.
- W4214898681 cites W3045242357 @default.
- W4214898681 cites W3045453754 @default.
- W4214898681 cites W3046100511 @default.
- W4214898681 cites W3046156393 @default.
- W4214898681 cites W3049652883 @default.
- W4214898681 cites W3084504536 @default.
- W4214898681 cites W3093322415 @default.
- W4214898681 cites W3097254204 @default.
- W4214898681 cites W3107236983 @default.
- W4214898681 cites W3111067141 @default.
- W4214898681 cites W3133408134 @default.
- W4214898681 cites W3139079715 @default.
- W4214898681 cites W3167590517 @default.
- W4214898681 cites W3185544865 @default.
- W4214898681 cites W3196637223 @default.
- W4214898681 cites W3196997665 @default.
- W4214898681 doi "https://doi.org/10.1016/j.tranpol.2022.03.002" @default.
- W4214898681 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35261491" @default.
- W4214898681 hasPublicationYear "2022" @default.
- W4214898681 type Work @default.
- W4214898681 citedByCount "16" @default.
- W4214898681 countsByYear W42148986812022 @default.
- W4214898681 countsByYear W42148986812023 @default.
- W4214898681 crossrefType "journal-article" @default.
- W4214898681 hasAuthorship W4214898681A5010116192 @default.
- W4214898681 hasAuthorship W4214898681A5017617925 @default.
- W4214898681 hasAuthorship W4214898681A5052810251 @default.
- W4214898681 hasAuthorship W4214898681A5057962744 @default.
- W4214898681 hasAuthorship W4214898681A5066332067 @default.
- W4214898681 hasAuthorship W4214898681A5068016934 @default.
- W4214898681 hasBestOaLocation W42148986812 @default.
- W4214898681 hasConcept C108713360 @default.
- W4214898681 hasConcept C127413603 @default.
- W4214898681 hasConcept C142724271 @default.
- W4214898681 hasConcept C144133560 @default.
- W4214898681 hasConcept C162853370 @default.
- W4214898681 hasConcept C166957645 @default.
- W4214898681 hasConcept C18762648 @default.
- W4214898681 hasConcept C191935318 @default.
- W4214898681 hasConcept C205649164 @default.
- W4214898681 hasConcept C22212356 @default.
- W4214898681 hasConcept C2779134260 @default.
- W4214898681 hasConcept C3008058167 @default.
- W4214898681 hasConcept C524204448 @default.
- W4214898681 hasConcept C62611344 @default.
- W4214898681 hasConcept C66938386 @default.
- W4214898681 hasConcept C71924100 @default.
- W4214898681 hasConcept C78519656 @default.
- W4214898681 hasConcept C89623803 @default.