Implications of COVID-19 pandemic on the governance of passenger mobility innovations in Europe

Tsvetkova, Anastasia; Kulkov, Ignat; Busquet, Caroline; Kao, Ping-Jen; Kamargianni, Maria

doi:10.1016/j.trip.2022.100581

Cited by 13 publications

(10 citation statements)

References 29 publications

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“…In Poland, a limit of 50% occupied seats in public transport vehicles was introduced at the end of March 2020 and lasted until February 2021 -with the possibility of extension (Bryniarska, Kuza, 2021: 3-18). Also, many cities in France, Denmark, Belgium, Finland, Luxembourg, Spain or the Netherlands with SUMPs were able to quickly and effectively adapt their mobility strategies, highlighting the resilience of the concept (Tsvetkova et al, 2022;European Commission, 2023). For example, Luxembourg, the country with the highest growth in green mobility development between 2019 and 2020, also saw an increase in the share of transport employment in total employment (reaching Elżbieta Antczak, Łukasz Wiaderny Quantification and Assessment of Sustainable Urban Mobility Development… 10%) and an above-average increase in the share of low-emission vehicles in the number of newly registered passenger cars (an increase of more than 206%, against an EU average increase of 71%).…”

Section: Discussionmentioning

confidence: 99%

Kwantyfikacja i analiza rozwoju zrównoważonej mobilności miejskiej w wybranych krajach UE z wykorzystaniem miary agregatowej

Antczak,

Wiaderny

2024

Folia Oeconomica

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W artykule dokonano kwantyfikacji i oceny stopnia rozwoju zrównoważonej (zielonej) mobilności miejskiej w wybranych krajach Unii Europejskiej. W tym celu skonstruowano kluczowe wskaźniki opisujące poszczególne obszary zielonego transportu w latach 2011–2020. W analizie wykorzystano dostępne dane publiczne i zastosowano dynamiczną taksonomiczną metodę Hellwiga. Wyniki analizy umożliwiły uzyskanie odpowiedzi na postawione pytania badawcze: 1) „Jaki jest stan i dynamika rozwoju zielonego transportu w badanych państwach?”, 2) „Które państwa w UE są liderami zrównoważonego transportu i dlaczego?”, 3) „Co determinuje zróżnicowanie i rozwój zielonej mobilności miejskiej w analizowanych krajach?”. Rezultaty badania wskazały, że pomimo przestrzennej polaryzacji rozwoju występuje podobieństwo strukturalne cechujące kraje o najwyższym i najniższym poziomie rozwoju zrównoważonej mobilności. Silną grupę stanowią państwa skandynawskie, Belgia (zdecydowany lider), Węgry, Austria, Dania i Czechy. W latach 2011–2020 można zaobserwować spadek poziomu rozwoju w sektorze zrównoważonego transportu, determinowany m.in. skutkami globalnego kryzysu finansowego w latach 2011–2014. Z kolei lata 2015–2020 to dynamizacja rozwoju ekologicznej branży transportu. Analizując czynniki warunkujące ten rozwój, można zauważyć, że pomimo podjętych starań europejska polityka transportowa nadal stoi w obliczu wielu wyzwań, zwłaszcza ze względu na stały wzrost poziomu emisji gazów cieplarnianych w sektorze transportu. Ponadto specyfika regionalna i różnice w modelach transportu niosą ze sobą ryzyko osłabienia wyników działań Unii Europejskiej w tym obszarze.

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Section: Discussionmentioning

confidence: 99%

Kwantyfikacja i analiza rozwoju zrównoważonej mobilności miejskiej w wybranych krajach UE z wykorzystaniem miary agregatowej

Antczak,

Wiaderny

2024

Folia Oeconomica

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“…In this section, we consider only works that have already been peer-reviewed and group them according to how they relate to this work. The eminent studies attempting to investigate the impact of COVID-19 on Mobility by mean of Pearson correlation are not many (Pascale, 2022) used noise sensors data to assess the effect of Covid-19 lockdown on mobility (Tsvetkova, 2022) analyzed the long-term trends on the governance of mobility innovations. Laliotis (2022) investigated how the social interactions related to COVID-19 be associated with mortality in Germany.…”

Section: Literature Reviewmentioning

confidence: 99%

Is the multimodality related to urban mobility changes during the pandemic?

Hatcha

2022

cset

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COVID introduced new considerations and changed the urban mobility ecosystem and perception. During the pandemic, mobility patterns change according to several factors. Few studies have investigated the impact of the mobility system features on the dynamic of people during the pandemic. This research attempts to understand the relationship between the urban mobility system advancement and the behaviour of people throughout different stages of the pandemic. This study uses big data for day-to-day mobility in different regions in Germany and employs the correlation coefficient matrix to analyze the impact of the smart mobility indices on the trends of mobility and the number of contacts between people. The study covers the whole pandemic period, from 2019 to mid-2022, to derive a pandemic crisis travel mobility patterns for each wave. Overall, a negative correlation between developed mobility systems and mobility trends means that the smarter cities and regions have, the fewer people tend to travel; the second wave marks the greatest mobility decline in correlation with more advanced mobility systems. While sophisticated and advanced mobility systems are often cited as having more attractiveness and a positive effect on the traveller's satisfaction, our findings suggest no clear and discernible impacts during the pandemic were observed. On the contrary, more multimodal trips, sharing options, and smarter mobility, in general, were associated with less mobility of people, yet it does not interfere with the contact between people, during the different stages of COVID in Germany.

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“…The literature about shared mobility in COVID-19 is enriched. Existing studies major focused on how shared mobility affect by COVID-19 during ( del Alonso-Almeida, 2022 , Bucsky, 2020 , Garaus and Garaus, 2021 , Kamargianni et al, 2022 , Menon et al, 2020 , Rahimi et al, 2021 , Shokouhyar et al, 2021 , Turoń et al, 2021 , Zhang et al, 2022 ) and after the pandemic ( Awad-Núñez et al, 2021 , Gragera, 2021 , Hensher, 2020 , Menon et al, 2020 , Shokouhyar et al, 2021 , Tsvetkova et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

“… Hensher, 2020 , Gragera, 2021 indicated that the pandemic offers an opportunity for MaaS to cooperate with other shared mobility modes to replace transit and compete with private cars in mode sharing. Menon et al, 2020 , Tsvetkova et al, 2022 also thought that shared mobility had a huge potential after the pandemic. Awad-Núñez et al (2021) focused on how shared mobility should attract consumers after the pandemic.…”

Section: Introductionmentioning

confidence: 99%

Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data

Nie

et al. 2023

Travel Behaviour and Society

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Implications of COVID-19 pandemic on the governance of passenger mobility innovations in Europe

Cited by 13 publications

References 29 publications

Kwantyfikacja i analiza rozwoju zrównoważonej mobilności miejskiej w wybranych krajach UE z wykorzystaniem miary agregatowej

Kwantyfikacja i analiza rozwoju zrównoważonej mobilności miejskiej w wybranych krajach UE z wykorzystaniem miary agregatowej

Is the multimodality related to urban mobility changes during the pandemic?

Post-pandemic shared mobility and active travel in Alabama: A machine learning analysis of COVID-19 survey data

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