ROAD TRANSPORT EMISSIONS FOR TOURISM PURPOSES

    Descrizione 1
    Update date
    Authors

    Giovanni Finocchiaro, Silvia Iaccarino, Francesca Palomba

    Abstract
    Immagine
    Abstract

    Tourism is crucial for European economies, but a compromised environment could endager its future, as the main attraction of tourism lies in a clean and preserved environment. This indicator analyzes emissions generated by tourist travel in Italy. Among the various road transport modes, cars contribute the most to all pollutant emissions, with 2022 values ranging from 76.8% for PM2.5 to 95.8% for VOCs. The use of campers, caravans, and vans, on the other hand, mainly affects PM2.5 (19.7%) and NOx emissions (14.3%).

    Description

    The indicator provides an estimate of emissions produced by tourist travel in Italy using road transport, in terms of major atmospheric pollutants. Although the phenomenon is underestimated, as the mileage considered is based only on the distance between the departure and destination cities, excluding local movements during the stay or stopovers in itinerant trips, this analysis aims to fill a significant knowledge gap in the tourism-environment relationship. The indicator integrates environmental monitoring data (National Air Emissions Inventory) with statistical data on tourism demand (ISTAT’s "Trips and Holidays" survey). Thus, it represents a new analytical approach that combines official sources to enhance information on tourism-related emissions.

    Purpose

    To estimate emissions generated by tourist travel in Italy using road transport, focusing on major atmospheric pollutants.

    Policy relevance and utility for users
    It is of national scope or it is applicable to environmental issues at the regional level but of national relevance.
    It can describe the trend without necessarily evaluating it.
    It is sensitive to changes occurring in the environment and/or in human activities
    It provides a representative picture of environmental conditions, environmental pressures, and societal responses
    Analytical soundness
    Be theoretically well founded in technical and scientific terms
    Presents reliability and validity of measurement and data collection methods
    Temporal comparability
    Spatial comparability
    Measurability (data)
    Adequately documented and of known quality
    An “adequate” spatial coverage
    An “appropriate” temporal coverage
    Main regulatory references and objectives

    The indicator has no specific regulatory references, but it helps address knowledge gaps in the tourism-environment relationship. It aligns with the Glasgow Declaration on Climate Action in Tourism, presented at COP26 in November 2021.

    DPSIR
    Pressure
    Indicator type
    Descriptive (A)
    References

    - Eurostat. Tourism Database. Available online: https://ec.europa.eu/eurostat/web/tourism/data/database and https://ec.europa.eu/eurostat/web/tourism/data/main-tables

    - European Parliament. Research for Tran Committee – From responsible best practices to sustainable tourism development. 2016 edition; ISBN: 978-92-823-8800-6. Available online: https://www.europarl.europa.eu/RegData/etudes/STUD/2015/573421/IPOL_STU(2015)573421_EN.pdf

    - ETC/ULS. Tourism and the environment Towards a reporting mechanism in Europe. Report 01/2018. Available online: https://www.eionet.europa.eu/etcs/etc-uls/products/etc-uls-report-01-2018-tourism-and-the-environment-towards-a-reporting-mechanism-in-europe

    - Di Torrice M., Sabato, M.; Dattilo, B.; et al. La nuova indagine sulla domanda turistica. Istat, Rome, Italy, 2018; ISBN 978-88-458-1964-3. Available online: https://www.istat.it/it/archivio/222043

    - Regulation (EU) No 692/2011 of the European Parliament and of the Council of 6 July 2011 concerning European statistics on tourism and repealing Council Directive 95/57/EC. Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2011:192:0017:0032:EN:PDF

    - UNWTO, 2010. International Recommendations on tourism statistics 2008 (IRTS 2008), ST/ESA/STAT/SER.M/83/Rev.1, Madrid and New York. Available online: https://unstats.un.org/unsd/publication/Seriesm/SeriesM_83rev1e.pdf

    - Eurostat, Methodological manual for tourism statistics – Version 3.1. , 2014 edition. ISBN: 978-92-79-44558-3, (DOI): 10.2785/892233 2015. Available online: http://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-14-013 .

    - Di Torrice, M.; et al. Indagine Viaggi e Vacanze, Aspetti metodologici dell’indagine. Available online: https://www.istat.it/it/archivio/178695

    - Deville, J.C.; Sarndal, C.E. Calibration Estimators in Survey Sampling. J. Am. Stat. Assoc. 1992, 87, 376-382, doi:10.2307/2290268. - ISPRA. Serie Storiche Emissioni – Dati trasporto stradale 1990-2020. Available online: http://www. http://emissioni.sina.isprambiente.it/serie-storiche-emissioni/

    - Sabato, M.; Dattilo, B.; Di Torrice, M. Destinazione Italia: turismo e competitivita’ territoriale. Un’analisi regionale della domanda turistica dei residenti. XL Annual Scientific Conference of A. I. S. Re. (Associazione Italiana di Scienze Regionali), L’Aquila, Italy, 16-18 September 2019. Available online: https://www.aisre.it/images/aisre/2019_papers/Sabato-16-16-Sabato-Mariangela.pdf

    - United Nations. Transforming our world: the 2030 Agenda for Sustainable Development. Available online: https://epale.ec.europa.eu/sites/default/files/21252030_agenda_for_sustainable_development_web.pdf - Istat. The SDGs Report. Available online: https://www.istat.it/en/well-being-and-sustainability/sustainable-development-goals/sdgs-report .

    - Istat. Nota Metodologica" Indagine Viaggi e vacanze, Istat, anni 2015 e segg; Available online: https://www.istat.it/it/archivio/178695

    - Betta, L.; Dattilo, B.; di Bella, E.; Finocchiaro, G.; Iaccarino, S. Tourism and Road Transport Emissions in Italy. Sustainability 2021, 13, 12712. https://doi.org/10.3390/su132212712 - World Tourism Organization (2022), Measuring the Sustainability of Tourism – Learning from Pilots, UNWTO, Madrid, DOI: https://doi.org/10.18111/9789284424061.

    - Scott, D., Hall, C. M., & Gössling, S. (2020). Pandemics, tourism and global change: A rapid assessment of COVID-19. Journal of Sustainable Tourism, 29(1), 1-20. DOI: 10.1080/09669582.2020.1758708

    Further actions

    In order to refine and thereby make the territorial attribution of pollutants more accurate, a possible future development involves a more detailed breakdown of the journey into regional segments, to which the emissions generated along the route between the origin and the destination of the trip can be assigned.

    Frequenza di rilevazione dei dati
    Annuale
    Fonte dei dati
    ISPRA
    ISTAT (Istituto Nazionale di Statistica)
    Data availabilty

    ISTAT – "Trips and Holidays" Survey

    ISPRA - "Average road emission factors" https://fetransp.isprambiente.it/#/

    Spatial coverage

    National, Regional

    Time coverage

    2017-2022

    Processing methodology

    The indicator combines:

    1. Kilometric data on tourist trips from the ISTAT "Trips and Holidays" survey
    2. Emission factors for road transport provided by ISPRA

    These two data sources are processed through extensive calculations.

    For methodological details, see:
    Betta, L.; Dattilo, B.; di Bella, E.; Finocchiaro, G.; Iaccarino, S. Tourism and Road Transport Emissions in Italy. Sustainability 2021, 13, 12712. https://doi.org/10.3390/su132212712

    Update frequency
    Year
    Qualità dell'informazione

    Despite an underestimation of the phenomenon, this new data analysis bridges significant knowledge gaps on the relationship between tourism and environmental impact. The credibility of the sources ensures data reliability, with strong coverage and comparability over time and across regions.

    State
    Medium
    Trend
    Negative
    State assessment/description

    In 2022, cars were the primary contributors to all pollutant emissions, with values ranging from 76.8% for PM2.5 to 95.8% for VOCs (Table 2).

    Among other vehicles: Campers, caravans, and vans had a notable impact on PM2.5 (19.7%) and NOx emissions (14.3%).

    Between 2021 and 2022, emissions linked to tourist travel increased significantly due to post-pandemic recovery: CO: +11.7%, VOC: +10.5%, NOx: +13.3%, PM2.5: +14.9%, CO2: +14.6% (Table 1)

    Trend assessment/description

    Compared to 2017 (the first year of observation):

    • Emissions increased for all pollutants in 2018 and for most pollutants in 2019.
    • In 2020, emissions dropped below 2017 levels due to the pandemic-related lockdown.
    • From 2021 onward, a significant rebound in emissions was recorded (Figure 1).
    Comments

    As highlighted in Table 2, emissions produced in 2022 and 2021 were primarily attributed to "Campers, Caravans, and Vans" and "Cars." At the regional level, emissions were estimated based on the destination regions, considering both interregional and intraregional travel flows, as well as kilometric distances. An analysis of Table 3 and Figure 1 shows that in 2022, the regions with the highest emissions from tourist travel were: Tuscany, Puglia, Lombardy, Emilia-Romagna. However, the ranking varied depending on the specific pollutant analyzed. Regions with the lowest emissions included: Molise, Basilicata, Friuli-Venezia Giulia, Umbria.

    In 2022, most regions saw a percentage increase in emissions compared to 2021 (Table 4), confirming the resurgence of tourism-related road mobility. Regions with strong mountain tourism recorded a rise in emissions, particularly due to the revival of winter tourism after COVID-19 restrictions. These travel pattern shifts were studied by Scott et al. (2020), who analyzed how lockdowns and reopenings altered tourism behaviors, leading to periodic surges in travel demand.  Figure 3 illustrates CO2 emissions in 2017 and 2022. When examining absolute values, nine out of twenty regions showed a positive variation compared to 2017, confirming the growing environmental pressure from tourism-related road transport.

    Data
    Headline

    Tabella 1: Emissioni nazionali stimate

    Data source

    ISPRA

    Headline

    Tabella 2: Emissioni dei viaggi in Italia per tipologia di veicolo utilizzato (tonnellate e percentuale)

    Data source

    ISPRA

    Headline

    Tabella 3: Emissioni prodotte per regione di destinazione (2022)

    Data source

    ISPRA

    Headline

    Tabella 4: Variazione percentuale dal 2021 al 2022 delle emissioni prodotte per regione di destinazione

    Data source

    ISPRA

    Thumbnail
    Headline

    Figura 1: Crescita percentuale di ogni emissione considerando il 2017 come anno base

    Data source

    ISPRA

    Thumbnail
    Headline

    Figura 2: Chilometri percorsi e chilometraggio medio per raggiungere le regioni di destinazioni dei viaggi (2022)

    Data source

    Elaborazione ISPRA su dati ISTAT

    Thumbnail
    Headline

    Figura 3: Emissioni prodotte per regione 2017 - 2022

    Data source

    ISPRA

    English