The recent pandemic has considerably changed urban transportation while highlighting the weaknesses of the current transport modes. The crisis provided a unique opportunity to redesign the urban mobility plans in a more sustainable and resilient way. This study captured the impact of the COVID-19 outbreak and the subsequent restrictive measures on citizens’ commuting habits and travel mode choice in two Cretan cities with academic communities and intense seasonality of tourism, in two phases (four periods) before, during, and after the quarantine. The sample consisted of 308 (1st phase) and 193 (2nd phase) citizens, 60% and 30% permanent residents of Chania and Rethymno, respectively.
During the weeks before the pandemic, 4/10 participants opted for travelling by car daily, either as a driver or as a passenger; almost the same ratio chose walking; 1/10 used public transport (bus). During the first week of the quarantine, one-quarter had decreased car usage and opted for sustainable transport modes (walking, cycling, public transport). The population who chose walking 1–2 times weekly almost doubled.
Nevertheless, most factors were found to affect men and women differently; personal safety and road safety are significantly more important for women; ecological footprint is a less essential parameter for men’s travel mode choice.
Private vehicle use still holds a considerable role in urban transportation, and noteworthy is due to the sharp decline in public transit in January–February and April and the meager percentage of public transport ridership (1%).
The analysis and modelling could be useful in the future design of more sustainable and resilient mobility strategies.
The modeling and risk assessment of a pandemic phenomenon such as COVID-19 is an important and complicated issue in epidemiology, and such an attempt is of great interest for public health decision-making. To this end, in the present study, based on a recent heuristic algorithm proposed by the authors, the time evolution of COVID-19 is investigated for six different countries/states, namely New York, California, USA, Iran, Sweden and UK. The number of COVID-19-related deaths is used to develop the proposed heuristic model as it is believed that the predicted number of daily deaths in each country/state includes information about the quality of the health system in each area, the age distribution of population, geographical and environmental factors as well as other conditions. Based on derived predicted epidemic curves, a new 3D-epidemic surface is proposed to assess the epidemic phenomenon at any time of its evolution. This research highlights the potential of the proposed model as a tool which can assist in the risk assessment of the COVID-19. Mapping its development through 3D-epidemic surface can assist in revealing its dynamic nature as well as differences and similarities among different districts.
REScoops are cooperatives of renewable energy producers and/or consumers that are being formed in the developing European Smart Grid. Today, there are more than 2397 REScoops with more than 650,000 members. Their development indicates the necessity of producing and consuming green energy, assists the fight against energy poverty, and reduces greenhouse gas emissions by utilizing smart management systems and self-consumption techniques. An essential objective of the H2020 REScoop Plus project is to stimulate better understanding and promote the cooperatives’ commitment to behavioral change. To achieve such a goal, this paper presents the methodology adopted to assess the energy-saving activities and behavior of the REScoops. In order to obtain relevant conclusions, a detailed statistical analysis was undertaken. Moreover, the analysis led to an effective classification of the various members, providing insights regarding their contribution to consumption reduction according to various specific characteristics. The statistical analysis showed that REScoop members contribute significantly to energy conservation and the reduction of harmful gas emissions, and subsequently, the majority of the energy efficiency (EE) interventions led to achieving more than 20% reductions. Specific practices, already adopted by the REScoops, lead to increased energy efficiency and environmental benefits.
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