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Article: Research and innovation paving the way for climate neutrality in urban transport: Analysis of 362 cities on their journey to zero emissions.

Christidis, Panayotis / Ulpiani, Giulia / Stepniak, Marcin / Vetters, Nadja

Transport policy

2024 Volume 148, Page(s) 107–123

Abstract: The EU Mission on Climate Neutral and Smart Cities is an ambitious initiative aiming to involve a wide range of stakeholders and deliver 100 climate-neutral and smart cities by 2030. We analysed the information submitted in the expressions of interest by ...

Abstract	The EU Mission on Climate Neutral and Smart Cities is an ambitious initiative aiming to involve a wide range of stakeholders and deliver 100 climate-neutral and smart cities by 2030. We analysed the information submitted in the expressions of interest by 362 candidate cities. The majority of the cities' strategies for climate neutrality include urban transport as a main sector and combine the introduction of new technologies with the promotion of public transport and active mobility. We combined the information from the EU Mission candidate cities with data from the CORDIS and TRIMIS databases, and applied a clustering algorithm to measure proximity to foci of H2020 funding. Our results suggest that preparedness for the EU Mission is correlated with research and innovation activities on transport and mobility. Horizon 2020 activities specific to transport and mobility significantly increased the likelihood of a city to be a candidate. Among the various transport technology research pathways, smart mobility appears to have a major role in the development of solutions for climate neutrality.
Language	English
Publishing date	2024-02-26
Publishing country	Netherlands
Document type	Journal Article
ISSN	0967-070X
ISSN	0967-070X
DOI	10.1016/j.tranpol.2024.01.008
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Article: How has COVID-19 changed private car use in European urban areas? An analysis of the effect of socio-economic characteristics and mobility habits.

Vega-Gonzalo, Maria / Gomez, Juan / Christidis, Panayotis

Transportation research. Part A, Policy and practice

2023 Volume 172, Page(s) 103679

Abstract: The private car has been identified as the main winner among transport modes in urban areas during the COVID-19 pandemic. The fear of contagion when using public transport or the decrease in road congestion are likely to have induced changes in citizens' ...

Abstract	The private car has been identified as the main winner among transport modes in urban areas during the COVID-19 pandemic. The fear of contagion when using public transport or the decrease in road congestion are likely to have induced changes in citizens' travel habits with respect to cars. This work investigates the impact of the pandemic on individuals' habits and preferences regarding their car ownership levels and car usage in the European urban context, with a special focus on the role played by individual socio-demographics and urban mobility patterns. For this purpose, a Path Analysis approach has been adopted to model car ownership and use before and after COVID-19. The main data source employed in this research is an EU-Wide Urban Mobility Survey that collects detailed information (individual and household socio-economic characteristics, built environment attributes and mobility habits) of 10,152 individuals from a total of 21 European urban areas of different sizes, geographical locations, and urban forms. The survey data has been complemented with city-level variables that account for differences across the cities that may explain changes in car-related behaviour. The results show that the pandemic has induced an increase in car use among socio-economic groups that are generally associated with low car-dependent behaviour, revealing that policy instruments that discourage the use of the private car in urban areas are needed to avoid reversing past trends in the reduction of urban transport emissions. High-income, well-educated teleworkers are observed to be the ones that have reduced their car use to a larger extent. On the contrary, low-income individuals are mostly maintaining similar levels of car mobility. Finally, frequent public transport users are more likely than occasional users to have substituted this mode by the private car.
Language	English
Publishing date	2023-04-07
Publishing country	England
Document type	Journal Article
ZDB-ID	2015887-7
ISSN	0965-8564 ; 0191-2607
ISSN	0965-8564 ; 0191-2607
DOI	10.1016/j.tra.2023.103679
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Article: Challenges for urban transport policy after the Covid-19 pandemic: Main findings from a survey in 20 European cities.

Christidis, Panayotis / Navajas Cawood, Elena / Fiorello, Davide

Transport policy

2022 Volume 129, Page(s) 105–116

Abstract: This article explores the changes in transport and mobility patterns that were triggered by the Covid-19 pandemic, as well as citizens' potential new expectations arising from this situation regarding public transport policy and urban planning. We ... ...

Abstract	This article explores the changes in transport and mobility patterns that were triggered by the Covid-19 pandemic, as well as citizens' potential new expectations arising from this situation regarding public transport policy and urban planning. We conducted an extensive survey in 20 cities across 11 European countries during the second quarter of 2021, with a total of 10000 respondents. The information that we collected covered the change in the frequency of technology-based alternatives to travel -such as teleworking and online shopping-compared to the pre-pandemic period. It also included the change in trip frequency, purpose, mode and destination. Using the survey dataset as input, we applied a classification model that explains the change in mode choice based on the respondent characteristics and preferences. Our findings suggest that the changes in mobility patterns induced by the pandemic are the result of the combination of the degree of mobility restrictions imposed in each city, the adoption of new lifestyle and work patterns, and individual choices that depend on personal risk aversion. We identify three main challenges for urban transport policy: the increasing use of car that can reinforce long-term car dependency, the avoidance of public transport that may lead to financial and operational instability, and the uncertainty as regards the future of innovation in urban transport, especially as regards emerging technologies and business models.
Language	English
Publishing date	2022-10-18
Publishing country	Netherlands
Document type	Journal Article
ISSN	0967-070X
ISSN	0967-070X
DOI	10.1016/j.tranpol.2022.10.007
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Article ; Online: The Predictive Capacity of Air Travel Patterns During the Global Spread of the COVID-19 Pandemic: Risk, Uncertainty and Randomness.

Christidis, Panayotis / Christodoulou, Aris

International journal of environmental research and public health

2020 Volume 17, Issue 10

Abstract: Air travel has a decisive role in the spread of infectious diseases at the global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at the final destination level in order to measure ...

Abstract	Air travel has a decisive role in the spread of infectious diseases at the global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at the final destination level in order to measure the risk of the disease spreading outside China. The approach proved to be successful in terms of identifying countries with a high risk of infected travellers and as a tool to monitor the evolution of the pandemic in different countries. The high number of undetected or asymptomatic cases of COVID-19, however, limits the capacity of the approach to model the full dynamics. As a result, the risk for countries with a low number of passengers from Hubei province appeared as low. Globalization and international aviation connectivity allow travel times that are much shorter than the incubation period of infectious diseases, a fact that raises the question of how to react in a potential new pandemic.
MeSH term(s)	Air Travel ; Aviation/statistics & numerical data ; Betacoronavirus ; COVID-19 ; Coronavirus ; Coronavirus Infections/epidemiology ; Coronavirus Infections/transmission ; Global Health ; Humans ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/transmission ; Risk Assessment ; SARS-CoV-2 ; Spatial Analysis ; Uncertainty
Keywords	covid19
Language	English
Publishing date	2020-05-12
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph17103356
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Book ; Online: Modelling daily mobility using mobile data traffic at fine spatiotemporal scale

Christidis, Panayotis / Gonzalo, Maria Vega / Radics, Miklos

2023

Abstract: We applied a data-driven approach that explores the usability of the NetMob 2023 dataset in modelling mobility patterns within an urban context. We combined the data with a highly suitable external source, the ENACT dataset, which provides a 1 km x 1km ... ...

Abstract	We applied a data-driven approach that explores the usability of the NetMob 2023 dataset in modelling mobility patterns within an urban context. We combined the data with a highly suitable external source, the ENACT dataset, which provides a 1 km x 1km grid with estimates of the day and night population across Europe. We developed three sets of XGBoost models that predict the population in each 100m x 100m grid cell used in NetMob2023 based on the mobile data traffic of the 68 online services covered in the dataset, using the ENACT values as ground truth. The results suggest that the NetMob 2023 data can be useful for the estimation of the day and night population and grid cell level and can explain part of the dynamics of urban mobility. Comment: NetMob 2023 Conference
Keywords	Computer Science - Machine Learning ; Statistics - Machine Learning
Publishing date	2023-11-16
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Article ; Online: The predictive capacity of air travel patterns during the global spread of the COVID-19 pandemic

CHRISTIDIS PANAYOTIS / CHRISTODOULOU ARIS

risk, uncertainty and randomness

2020

Abstract: Air travel has a decisive role in the spread of infectious diseases at global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at final destination level in order to measure the ... ...

Abstract	Air travel has a decisive role in the spread of infectious diseases at global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at final destination level in order to measure the risk of the disease spreading outside China. The approach proved to be successful in terms of identifying countries with a high risk of infected travellers and as a tool to monitor the evolution of the pandemic in different countries. The high number of undetected or asymptomatic cases of COVID-19, however, limits the capacity of the approach to model the full dynamics. As a result, the risk for countries with a low number of passengers from the Hubei province appeared as low. Globalisation and international aviation connectivity allow travel times that are much lower than the incubation period of infectious diseases, a fact that raises the question of how to react in a potential new pandemic. JRC.C.6-Economics of Climate Change, Energy and Transport
Keywords	covid19
Subject code	380
Language	ENG
Publishing date	2020-04-27
Publisher	MDPI
Publishing country	eu
Document type	Book ; Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: The Predictive Capacity of Air Travel Patterns During the Global Spread of the COVID-19 Pandemic

Panayotis Christidis / Aris Christodoulou

International Journal of Environmental Research and Public Health ; Volume 17 ; Issue 10

Risk, Uncertainty and Randomness

2020

Abstract	Air travel has a decisive role in the spread of infectious diseases at the global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at the final destination level in order to measure the risk of the disease spreading outside China. The approach proved to be successful in terms of identifying countries with a high risk of infected travellers and as a tool to monitor the evolution of the pandemic in different countries. The high number of undetected or asymptomatic cases of COVID-19, however, limits the capacity of the approach to model the full dynamics. As a result, the risk for countries with a low number of passengers from Hubei province appeared as low. Globalization and international aviation connectivity allow travel times that are much shorter than the incubation period of infectious diseases, a fact that raises the question of how to react in a potential new pandemic.
Keywords	air transport ; aviation ; COVID-19 ; coronavirus ; epidemic model ; risk assessment ; spatial analysis ; covid19
Subject code	910
Language	English
Publishing date	2020-05-12
Publisher	Multidisciplinary Digital Publishing Institute
Publishing country	ch
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Predictive Capacity of Air Travel Patterns During the Global Spread of the COVID-19 Pandemic

Panayotis Christidis / Aris Christodoulou

International Journal of Environmental Research and Public Health, Vol 17, Iss 3356, p

Risk, Uncertainty and Randomness

2020 Volume 3356

Abstract	Air travel has a decisive role in the spread of infectious diseases at the global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at the final destination level in order to measure the risk of the disease spreading outside China. The approach proved to be successful in terms of identifying countries with a high risk of infected travellers and as a tool to monitor the evolution of the pandemic in different countries. The high number of undetected or asymptomatic cases of COVID-19, however, limits the capacity of the approach to model the full dynamics. As a result, the risk for countries with a low number of passengers from Hubei province appeared as low. Globalization and international aviation connectivity allow travel times that are much shorter than the incubation period of infectious diseases, a fact that raises the question of how to react in a potential new pandemic.
Keywords	air transport ; aviation ; COVID-19 ; coronavirus ; epidemic model ; risk assessment ; Medicine ; R ; covid19
Subject code	910
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Regional mobility during the Covid-19 pandemic: Analysis of trends and repercussions using mobile phones data across the EU.

Christidis, Panayotis / Ciuffo, Biagio / Vespe, Michele

Case studies on transport policy

2021 Volume 10, Issue 1, Page(s) 257–268

Abstract: The analysis of mobile phones data at regional level in the EU reveals varying patterns in mobility trends during the Covid-19 pandemic. These depend on the temporal evolution of the pandemic in each EU Member State, the measures taken at local or ... ...

Abstract	The analysis of mobile phones data at regional level in the EU reveals varying patterns in mobility trends during the Covid-19 pandemic. These depend on the temporal evolution of the pandemic in each EU Member State, the measures taken at local or national level to limit the growth of the pandemic, as well as the level of urbanization and type of economic activity in each region. During the first phase of the pandemic (March- April 2020) the decrease in mobility was in general uniform among regions in the same Member State, especially in Italy, Spain and France, where national level measures were adopted. A relaxation of the measures and a resulting rebound of mobility was evident during the summer period (July- August 2020). At the same time, a shift from urban to rural areas during the summer vacation period is evident, with especially touristic areas increasing the number of movements in the same Member State. The variance in mobility trends during the second wave of the pandemic (October- November 2020) was higher, a result of the predominantly local and regional level measures applied in each Member State. Those insights suggest a certain correlation between the level of mobility and the evolution of the pandemic at regional level. The association with high levels of Covid-19 prevalence is particularly strong in urban regions with high mobility levels.
Language	English
Publishing date	2021-12-20
Publishing country	Netherlands
Document type	Journal Article
ISSN	2213-6258
ISSN (online)	2213-6258
DOI	10.1016/j.cstp.2021.12.007
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Article ; Online: Email Based Institutional Network Analysis

Panayotis Christidis / Álvaro Gomez Losada

Social Sciences, Vol 8, Iss 11, p

Applications and Risks

2019 Volume 306

Abstract: Social Network Analysis can be applied to describe the patterns of communication within an organisation. We explore how extending standard methods, by accounting for the direction and volume of emails, can reveal information regarding the roles of ... ...

Abstract	Social Network Analysis can be applied to describe the patterns of communication within an organisation. We explore how extending standard methods, by accounting for the direction and volume of emails, can reveal information regarding the roles of individual members. We propose an approach that models certain operational aspects of the organization, based on directional and weighted indicators. The approach is transferable to other types of social network with asymmetrical connections among its members. However, its applicability is limited by privacy concerns, the existence of multiple alternative communication channels that evolve over time, the difficulty of establishing clear links between organisational structure and efficiency and, most importantly, the challenge of setting up a system that measures the impact of communication behavior without influencing the communication behaviour itself.
Keywords	social network analysis ; email traffic ; centrality ; closeness ; clustering effect ; graph theory ; complex networks ; machine learning ; big data ; human resources management ; organisational dynamics ; Social Sciences ; H
Language	English
Publishing date	2019-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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