Evolution of mobility during the COVID-19 crisis in the region of Madrid

Sanz, Abid Al Akioui; Cáceres, Andrés Monzón de; Valle, Lucas Álvarez del

doi:10.1016/j.trpro.2021.11.056

Cited by 7 publications

(2 citation statements)

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“…Most journeys in the city are made on foot and by bicycle (38.8%), while in the metropolitan area, the percentage is 34.1% [48], while journeys between the capital and the metropolitan area are preferably made by car or motorbike (60.2%) [48]. The recovery of mobility after the lockdown did not follow a defined pattern dependent on the municipalities near Madrid [68].…”

Section: Case Study: the Madrid Metropolitan Areamentioning

confidence: 99%

Effects of Mobility Restrictions on Air Pollution in the Madrid Region during the COVID-19 Pandemic and Post-Pandemic Periods

Bañuelos-Gimeno,

Sobrino,

Arce-Ruiz

2023

Sustainability

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Air quality is one of the problems cities face today. The COVID-19 pandemic provided a unique opportunity to study the influence of traffic reduction on air quality during 2020, 2021, and 2022. The aim of this paper is to analyze the impacts and relationship between mobility restrictions in six COVID-19 wave periods and air pollution and evolution in the post-pandemic period differentiating Madrid city from its metropolitan area. We tested whether the changes produced for NO2, NOx, PM2.5, PM10, and O3 in the urban traffic and suburban traffic air quality stations data in comparison to the 2019 reference period were significant. The findings of this study show that the periods with the greatest reduction in pollutant concentrations were the first and third COVID-19 waves, when mobility restrictions were most stringent: there was strict confinement for the first wave (i.e., 47% reduction in daily average NO2 concentration), while severe weather forced a reduction in traffic in the region in the third wave period (i.e., 41% reduction in daily average NOx concentration). With the return to normal activity in the last period, pollutant concentrations began to exceed pre-pandemic levels. At the urban level, the reductions were more noticeable in relation to NO2 and NOx, while at the suburban level, changes were less prominent, except for the O3. The results are particularly inspiring for designing future mobility strategies for improving air quality in urban and metropolitan areas.

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Section: Case Study: the Madrid Metropolitan Areamentioning

confidence: 99%

Effects of Mobility Restrictions on Air Pollution in the Madrid Region during the COVID-19 Pandemic and Post-Pandemic Periods

Bañuelos-Gimeno,

Sobrino,

Arce-Ruiz

2023

Sustainability

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“…The Madrid Region is one of the most densely populated regions in the country. Hence, the total trips were reduced by up to 70% during the lockdown in the Madrid Region [9]. Mobility patterns changed dramatically during the COVID-19 crisis.…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis of COVID-19 Pandemic Impacts on Mobility in Madrid Region

Al-Akioui,

Monzon

2023

Sustainability

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After three years of COVID-19 lockdown and restrictions, mobility seems to have returned to normality. However, the pandemic has left changes in the mobility patterns of the Madrid Region produced by new trends emerging from COVID-19. This paper analyzes these changes, focusing on the impacts on public transport use, the effects of telematic activities and the influence of home relocation. The basis of the analysis is a survey conducted from November to December 2022, with more than 15,000 valid responses. The results show that public transport lost 6% of trips. These trips have different transfer rates depending on their geographic location. In the City Center, the majority transferred to active modes. However, the car attracted most of these trips in the Metropolitan Ring. These changes in mobility patterns are partly a consequence of the increase in telematic activities. Teleworking has increased by more than 20% in the Madrid Region and has caused changes in trips per week and trip purpose. In addition, teleworking has caused 18% of home relocations to peripheral zones of the region. This paper investigates through statistical analysis which sociodemographic and spatial factors explain the differences in mobility impacts throughout the zones of the Madrid Region.

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