Type | Journal Article |
---|---|
Author | Xiaokun (Cara) Wang |
Author | Woojung Kim |
Author | José Holguín-Veras |
Author | Joshua Schmid |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421002676 |
Volume | 154 |
Pages | 270-286 |
Publication | Transportation Research Part A: Policy and Practice |
Date | December 1, 2021 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.10.012 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | A significant growth in demand for online shopping in light of the Coronavirus Disease (COVID) crisis has received attention from transportation practitioners, policy-makers, and researchers. However, an important question arises in this increase in online shopping and resulting deliveries: How long will this last? Very little is known whether this popularity would last a long time. To address this question, the authors conducted a survey of 915 individuals residing in the U.S. and classified them into the four distinctive consumer types (i.e., the prior adopter, temporary adopter and permanent new adopter, and non-adopter) depending on their usage of delivery services before, during, and after (expected) the COVID crisis. This research aims to gain behavioral insight by exploring the differences between the four consumer types and investigating factors affecting the initial adoption and continuance intention of using delivery services. The descriptive analysis revealed that there are clear differences not only between the four types of consumers but also between the four product types (i.e., grocery, food, home goods, and other packages) considered in the survey. The models found that factors affecting the initial adoption and continuance intention are different from the previous studies conducted before the COVID pandemic. Implications for planning and policymaking are also discussed. |
Date Added | 12/8/2021, 12:28:36 PM |
Type | Journal Article |
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Author | Kayvan Aghabayk |
Author | Javad Esmailpour |
Author | Nirajan Shiwakoti |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421002664 |
Volume | 154 |
Pages | 186-202 |
Publication | Transportation Research Part A: Policy and Practice |
Date | December 1, 2021 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.10.011 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | Understanding changes in travel behavior during the spread of pandemic diseases such as COVID-19 is important to develop a resilient transportation system. Since one of the most important ways to prevent the spread of this virus is to keep a safe distance from other people (i.e. social distancing), it has implications for the operations of public transportation as compared to other modes of transportation due to the confinement of a large number of passengers in enclosed space. This study investigated the effect of the spread of COVID-19 on crowding perception and crowding disutility in metro rail system of Tehran. Two surveys were conducted before and during the COVID-19. The stated preference data were analyzed by mixed logit models with the lognormal distribution. Results revealed that the value of crowding increased during the pandemic. Tracking the changes of crowding perception caused by COVID-19 shows that low comfort scores were observed at crowding levels where seats were taken, and the density of standees was high (i.e. not possible to maintain social distancing). During the outbreak of COVID-19, crowding has more disutility for rail passengers and the value of having a seat while traveling increased. Understanding passengers’ perceptions of crowding as examined in this study will assist transport operators, and planners maintain the critical functionality of public transport systems and manage risks of mass transportation during the pandemic and beyond. |
Date Added | 12/8/2021, 12:23:23 PM |
Type | Journal Article |
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Author | Manish Shirgaokar |
Author | Darcy Reynard |
Author | Damian Collins |
URL | https://www.sciencedirect.com/science/article/pii/S0965856421002688 |
Volume | 154 |
Pages | 300-312 |
Publication | Transportation Research Part A: Policy and Practice |
Date | December 1, 2021 |
Journal Abbr | Transportation Research Part A: Policy and Practice |
DOI | 10.1016/j.tra.2021.10.013 |
Library Catalog | ScienceDirect |
Language | en |
Abstract | The COVID-19 pandemic has challenged and encouraged local governments to reallocate street space. The chief purpose of new regimes of street management is to expand spaces for walking and bicycling, and to ease business interactions such as curbside pickup and dining while maintaining social distancing guidelines. We investigated how North Americans on Twitter viewed alternative uses and forms of street reallocation, specifically during the early months of the pandemic from April 1, 2020 to July 1, 2020. Relying on a crowdsourced dataset of government actions (Combs and Pardo 2021), we identified five areas of policy initiative that were broadly representative of government actions: cycling, walking, driving, business, and curbside. First, we identified a corpus of 292,108 geolocated tweets from the U.S. and Canada. Next, we used word vectors, built on this Twitter corpus, to generate similarity scores across the five areas of policy initiative for each tweet. Finally, we selected the top tweets that closely matched ideas contained in the areas of policy initiative, thus creating a finer corpus of 1,537 tweets. Using the five categories as guideposts, we conducted an inductive content analysis to understand opinions expressed on Twitter. Our analysis suggests that renewed use of the curb has opened up possibilities for reimaging this space. Particularly, business uses of the curb for dining and pick up zones have expanded widely, and there is more use of sidewalks; yet both spaces have limited capacity. Planners need to think of expanding these assets while reducing cost burdens for their alternative uses. |
Date Added | 12/8/2021, 12:29:45 PM |