| Literature DB >> 36168321 |
De Meo Isabella1, Becagli Claudia1, Cantiani Maria Giulia2, Casagli Alessandro1, Paletto Alessandro3.
Abstract
Since early 2020, Coronavirus Disease 2019 (COVID-19) has spread rapidly, quickly becoming a global pandemic. To counter the COVID-19 outbreak, national governments have issued different measures and restrictions, forcing citizens to adapt to a whole new lifestyle. These restrictions have impacted on the use of green spaces by citizens owing to many factors: more available free time, increased flexibility in the work environment, and a need to relax in Nature to relieve anxiety and stress. Urban green spaces provide many benefits for the physical and psychological well-being of citizens (e.g., habitat conservation, pollution control, recreational and leisure opportunities). To understand if citizens' habits have changed due to the COVID-19 restrictions, this study provides insights from a web-based survey monitoring the use of such spaces before and during the COVID-19 lockdowns in Italy. A web-based questionnaire was conducted via "Facebook Messenger" and "WhatsApp" at the end of the second wave of COVID-19 (May-June 2021). Data collection having been concluded, 1075 completed questionnaires were collected and processed. The results show that while many reduced their weekly frequentation of green areas (-16.5%), the number of people frequenting green areas near their home every day increased (+7.7%). Two main groups of people were identified: the first, those who intensified their visits to green areas being those who desired to spend time in contact with Nature; the second, those who were reluctant to visit green areas for fear of being infected. The results also show most of the respondents felt urban green areas were either very important (82.1%) or important (14.4%). Overall, the results reveal that COVID-19 induced a positive perception of the benefits provided by urban green areas, with a consequent greater use of them, which seems destined to last even once the public health emergency has passed.Entities:
Keywords: COVID-19 restrictions; Green infrastructures; Italy; Lockdown; Nature-based recreation; Urbanisation; Web-based survey
Year: 2022 PMID: 36168321 PMCID: PMC9499986 DOI: 10.1016/j.ufug.2022.127739
Source DB: PubMed Journal: Urban For Urban Green ISSN: 1610-8167
Fig. 1Comparison between the distribution of the sample by age and Italian population (ISTAT 2021).
Fig. 2Comparison between the distribution of the sample by level of education and Italian population (ISTAT 2021).
Time and means of transport (%) to reach UGSs by socio-demographic characteristics of respondents.
| Socio-demographic characteristics | Time | Means | |||||||
|---|---|---|---|---|---|---|---|---|---|
| <15 min. | 15-30 min | 30 min-1 h | >1 h | On foot | By bike | By car | By public transport | Other means | |
| Male ( | 77.2 | 17.7 | 2.9 | 1.8 | 71.9 | 13.7 | 13.3 | 0.2 | 0.9 |
| Female ( | 72.6 | 23.6 | 2.9 | 1.0 | 82.2 | 7.5 | 7.5 | 1.8 | 1.0 |
| 18-20 years old ( | 67.2 | 29.7 | 0.8 | 2.3 | 72.7 | 13.3 | 11.7 | 2.3 | 0.0 |
| 21-40 years old ( | 75.5 | 19.8 | 4.0 | 0.7 | 78.3 | 9.7 | 10.1 | 1.4 | 0.5 |
| 41-60 years old ( | 78.4 | 18.6 | 1.8 | 1.3 | 78.4 | 12.2 | 7.4 | 0.8 | 1.3 |
| 61-80 years old ( | 70.4 | 23.2 | 4.0 | 2.4 | 80.8 | 2.4 | 15.2 | 0.0 | 1.6 |
| More than 80 years old ( | 20.0 | 60.0 | 20.0 | 0.0 | 60.0 | 0.0 | 20.0 | 0.0 | 20.0 |
| Elementary/technical school degree ( | 66.4 | 28.8 | 2.4 | 2.4 | 74.4 | 12.8 | 9.6 | 3.2 | 0.0 |
| High school degree ( | 74.6 | 21.2 | 3.0 | 1.2 | 79.5 | 9.1 | 9.4 | 0.7 | 1.2 |
| University and post-university degree ( | 76.7 | 19.3 | 2.9 | 1.1 | 77.4 | 10.3 | 10.5 | 0.9 | 0.9 |
| Cities with 5,000 inhabitants or more ( | 73.6 | 22.0 | 3.0 | 1.4 | 76.5 | 11.2 | 10.5 | 1.0 | 0.8 |
| Towns and suburbs with fewer than 5,000 inhabitants ( | 84.1 | 13.5 | 2.4 | 0.0 | 91.3 | 2.4 | 5.6 | 0.8 | - |
Fig. 3Changes in the use of UGSs by citizens during the COVID-19 pandemic for all respondents (n=1075).
Use of UGSs (%) before and during the COVID-19 pandemic by socio-demographic characteristics.
| Nearly every day | Weekly | Monthly | Less than once a month | Less than once a year | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Before | During | Before | During | Before | During | Before | During | Before | During | |
| Male ( | 28.1 | 31.9 | 51.8 | 43.8 | 11.7 | 12.2 | 6.6 | 7.7 | 1.8 | 4.4 |
| Female ( | 34.0 | 35.5 | 44.1 | 36.4 | 14.4 | 11.7 | 6.9 | 14.6 | 0.5 | 1.8 |
| 18-20 years old ( | 24.2 | 29.7 | 45.3 | 32.0 | 21.1 | 16.4 | 7.0 | 17.2 | 2.3 | 4.7 |
| 21-40 years old ( | 31.6 | 31.8 | 45.5 | 42.5 | 16.7 | 14.4 | 5.7 | 9.2 | 0.5 | 2.1 |
| 41-60 years old ( | 31.6 | 36.1 | 50.6 | 39.4 | 10.2 | 9.9 | 6.4 | 12.2 | 1.3 | 2.3 |
| 61-80 years old ( | 39.2 | 39.2 | 45.6 | 37.6 | 2.4 | 5.6 | 12.0 | 12.8 | 0.8 | 4.8 |
| More than 80 years old ( | 20.0 | 20.0 | 40.0 | 40.0 | 40.0 | 0.0 | 0.0 | 20.0 | 0.0 | 20.0 |
| Elementary/technical degree ( | 32.8 | 39.2 | 44.0 | 31.2 | 16.0 | 11.2 | 4.8 | 13.6 | 2.4 | 4.8 |
| High school degree ( | 32.3 | 33.8 | 45.7 | 39.0 | 14.3 | 12.3 | 6.7 | 11.9 | 1.0 | 3.0 |
| University and post-university degree ( | 30.6 | 32.8 | 49.4 | 41.8 | 11.9 | 11.7 | 7.3 | 11.2 | 0.7 | 2.4 |
| Cities with 5,000 inhabitants or more ( | 28.2 | 32.3 | 35.5 | 41.6 | 9.1 | 5.6 | 0.0 | 7.2 | 0.0 | 1.6 |
| Towns and suburbs with fewer than 5,000 inhabitants ( | 55.4 | 44.0 | 49.2 | 39.5 | 14.1 | 12.8 | 7.3 | 12.3 | 1.2 | 3.1 |
Fig. 4Changes in the type of UGSs frequented during the COVID-19 pandemic in accordance with the respondents’ answers.
Fig. 5Changes in the activities carried out in UGSs during the COVID-19 pandemic in accordance with the respondents’ answers.
Perceived changes and influence of restrictive measures (%) on the use of UGSs by socio-demographic characteristics.
| Socio-demographic characteristics | Perceived changes in the use of UGSs | Perceived influence of measures to contain the COVID-19 pandemic on the use of UGSs | ||||||
|---|---|---|---|---|---|---|---|---|
| Increased use | Unchanged use | Decreased use | Very negative | Negative | Neutral | Positive | Very positive | |
| Male ( | 60.6 | 16.9 | 22.5 | 12.6 | 15.9 | 47.1 | 14.8 | 9.5 |
| Female ( | 66.4 | 10.8 | 22.8 | 7.4 | 14.9 | 48.6 | 16.1 | 13.0 |
| 18-20 years old ( | 57.5 | 17.3 | 25.2 | 7.0 | 22.7 | 46.1 | 17.2 | 7.0 |
| 21-40 years old ( | 67.1 | 15.8 | 17.2 | 9.7 | 15.6 | 50.7 | 16.5 | 7.5 |
| 41-60 years old ( | 66.3 | 10.5 | 23.2 | 9.9 | 14.2 | 47.6 | 13.7 | 14.5 |
| 61-80 years old ( | 52.8 | 11.2 | 36.0 | 11.2 | 11.2 | 43.2 | 14.4 | 20.0 |
| More than 80 years old ( | 60.0 | 0.0 | 40.0 | 0.0 | 0.0 | 20.0 | 60.0 | 20.0 |
| Elementary/technical qualification ( | 61.2 | 14.9 | 24.0 | 10.4 | 15.2 | 48.0 | 16.8 | 9.6 |
| High school qualification ( | 63.5 | 14.4 | 22.1 | 12.1 | 18.3 | 43.5 | 14.8 | 11.4 |
| University and post-university degree ( | 64.9 | 12.3 | 22.8 | 7.5 | 13.2 | 51.4 | 15.8 | 12.1 |
| Cities with 5,000 inhabitants or more ( | 64.2 | 22.9 | 12.9 | 9.4 | 14.2 | 48.1 | 15.9 | 12.4 |
| Towns and suburbs with fewer than 5,000 inhabitants ( | 63.6 | 19.8 | 16.6 | 10.3 | 23.8 | 48.4 | 12.7 | 4.8 |
Fig. 6Perceived changes and influence of restrictive measures on the use of UGSs for all respondents (n=1075).