Chapter Short-term forecasts on time series for tourism in Lombardy
Data from official sources on nights spent in an accommodation for tourists in Lombardy are available until 2021. These data on touristic flows for 2020 and 2021 registered a clear downfall because of restrictions related to Covid-19. The aim of this paper is to verify the presence of a full or part...
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| Format: | Online |
| Langue: | anglais |
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Firenze University Press, Genova University Press
2023
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| Accès en ligne: | ONIX_20230803_9791221501063_82 |
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| _version_ | 1869519863903420416 |
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| author | Diceglie, Elena Marletta, Andrea ROSSI, Roberta |
| author_browse | Diceglie, Elena Marletta, Andrea ROSSI, Roberta |
| author_facet | Diceglie, Elena Marletta, Andrea ROSSI, Roberta |
| author_sort | Diceglie, Elena |
| collection | Directory of Open Access Books |
| description | Data from official sources on nights spent in an accommodation for tourists in Lombardy are available until 2021. These data on touristic flows for 2020 and 2021 registered a clear downfall because of restrictions related to Covid-19. The aim of this paper is to verify the presence of a full or partial recover of tourists in provinces of Lombardy using short-term predictions for 2022. A time-series procedure has been applied to obtain a forecast estimate for 2022 using an ARMA model with the addition of an exogenous variable. The hypothesis at the basis of the model is that a punctual estimate of the touristic flows could be obtained using an auxiliary variable explaining the number of employees in the food services and hospitality industry. This auxiliary variable is represented as the difference between the number of starting work contracts and the contract terminations. These data are available thanks to the Informative system of mandatory communications provided by the Italian Minister of Labour. The availability of this information is daily guaranteed at level of single municipality but for the purpose of this paper, data have been aggregated at province level. The short-term predictions obtained for 2022 have been used to verify the presence of a recovery respect to the pandemic emergency of Covid-19 using a double growth rate. A first growth rate has been computed comparing the number of estimated tourists respect to the 2021 measuring the existence of a rebound after the restrictions. A second growth rate measured the estimates for 2021 respect to the presences of 2019 to monitor the trends in Lombardy compared to the before Covid-19 period. Preliminary results showed an evident upswing respect to 2021 and a partial recovery respect to 2019 for the majority of Lombard provinces. |
| format | Online |
| id | doab-20.500.12854ir-112272 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Firenze University Press, Genova University Press |
| publisherStr | Firenze University Press, Genova University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1122722025-07-17T09:59:56Z Chapter Short-term forecasts on time series for tourism in Lombardy Diceglie, Elena Marletta, Andrea ROSSI, Roberta Time series Forecasts Tourism thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Data from official sources on nights spent in an accommodation for tourists in Lombardy are available until 2021. These data on touristic flows for 2020 and 2021 registered a clear downfall because of restrictions related to Covid-19. The aim of this paper is to verify the presence of a full or partial recover of tourists in provinces of Lombardy using short-term predictions for 2022. A time-series procedure has been applied to obtain a forecast estimate for 2022 using an ARMA model with the addition of an exogenous variable. The hypothesis at the basis of the model is that a punctual estimate of the touristic flows could be obtained using an auxiliary variable explaining the number of employees in the food services and hospitality industry. This auxiliary variable is represented as the difference between the number of starting work contracts and the contract terminations. These data are available thanks to the Informative system of mandatory communications provided by the Italian Minister of Labour. The availability of this information is daily guaranteed at level of single municipality but for the purpose of this paper, data have been aggregated at province level. The short-term predictions obtained for 2022 have been used to verify the presence of a recovery respect to the pandemic emergency of Covid-19 using a double growth rate. A first growth rate has been computed comparing the number of estimated tourists respect to the 2021 measuring the existence of a rebound after the restrictions. A second growth rate measured the estimates for 2021 respect to the presences of 2019 to monitor the trends in Lombardy compared to the before Covid-19 period. Preliminary results showed an evident upswing respect to 2021 and a partial recovery respect to 2019 for the majority of Lombard provinces. 2023-08-08T06:37:00Z 2023-08-08T06:37:00Z 2023-08-03T15:05:38Z 2023 chapter ONIX_20230803_9791221501063_82 2704-5846 https://library.oapen.org/handle/20.500.12657/74886 9791221501063 https://directory.doabooks.org/handle/20.500.12854/112272 eng Proceedings e report open access image/jpeg image/png Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/74886/1/9791221501063-14.pdf https://library.oapen.org/bitstream/20.500.12657/74886/1/9791221501063-14.pdf Firenze University Press, Genova University Press 10.36253/979-12-215-0106-3.14 10.36253/979-12-215-0106-3.14 74113d79-2268-4658-88bb-6e8757c543b0 ASA 2022 Data-Driven Decision Making 9791221501063 6 Florence open access |
| spellingShingle | Time series Forecasts Tourism thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences Diceglie, Elena Marletta, Andrea ROSSI, Roberta Chapter Short-term forecasts on time series for tourism in Lombardy |
| title | Chapter Short-term forecasts on time series for tourism in Lombardy |
| title_full | Chapter Short-term forecasts on time series for tourism in Lombardy |
| title_fullStr | Chapter Short-term forecasts on time series for tourism in Lombardy |
| title_full_unstemmed | Chapter Short-term forecasts on time series for tourism in Lombardy |
| title_short | Chapter Short-term forecasts on time series for tourism in Lombardy |
| title_sort | chapter short term forecasts on time series for tourism in lombardy |
| topic | Time series Forecasts Tourism thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| topic_facet | Time series Forecasts Tourism thema EDItEUR::J Society and Social Sciences thema EDItEUR::J Society and Social Sciences |
| url | ONIX_20230803_9791221501063_82 |
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