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Assessing the Impact of Changes in Mobility Behaviour to Evaluate Sustainable Transport Policies: Case of University Campuses of Politecnico di Milano

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Data Analytics: Paving the Way to Sustainable Urban Mobility (CSUM 2018)

Abstract

Started in 2011, the “Città Studi Campus Sostenibile” project (CSCS), promoted by Politecnico di Milano and Università degli Studi di Milano, is aimed at turning the common university district in a model for quality of life and environmental sustainability. One of the topics of this project relates with transport and sustainable mobility.

In this framework, during the last three years, the Sustainable Office of the University, in collaboration with the university mobility manager, carried out two surveys on mobility and commuting, among students, professors and administrative staff. In 2015 were surveyed about 12.000 people and about 14.000 in 2017, respectively 27% and 24% of the total population of each year.

Through the analysis of the data of the last survey, we firstly provide a description of the current mobility patterns of the university population, then we calculate CO2 emissions from mobility activities to access Politecnico campuses. In order to estimate CO2 emissions of every trip, we utilize local emission factors for each transport mode. Previous studies evidenced how this component accounts for more than 40% of the total emissions of Politecnico di Milano.

Lastly, in order to identify in which context policy packages, aimed at increasing the modal share of sustainable transport modes, are more effective and efficient in reducing CO2 emission, we analyse a set of scenarios involving both different territorial contexts inside Lombardy region and different campuses population.

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Notes

  1. 1.

    The population of the two campuses is divided as follows: 42,328 are students (58% of Leonardo campus and 42% of Bovisa campus) and 9,593 are employees (55% of Leonardo campus and 45% of Bovisa campus).

  2. 2.

    The highest value for employees is due to a limited number of respondent between PhD or M.B.A. and other master students. The average value of this category is 8.8 for Leonardo campus and 23.5 for Bovisa campus.

  3. 3.

    CO2 emission factors were based on different sources. For private means of transport and road public transports, vehicles were categorized by displacement and fuel system and, for each of them, a specific value was used, taken from the Lombardy Region emission inventory [gCO2/pxkm] [13]. Values considered varies from 19 (suburban bus) up to 277 (Gasoline car > 2000 cc). Train and underground coefficients are both 12 [gCO2/pxkm] [derived from 14, 15]. Finally, tram coefficient is equal to 25 [gCO2/pxkm] [derived from 16].

  4. 4.

    Through the public transport service contract with the local transport company ATM.

  5. 5.

    The “Agenzia per il Trasporto Pubblico Locale del bacino di Milano, Monza e Brianza, Lodi e Pavia” is in charge of the public transport planning at a sub-regional scale, actually larger than the Milan metropolitan Area, including other portions of Lombardy.

  6. 6.

    Through the public transport service contract with the regional train operator Trenord.

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Bertolin, A. et al. (2019). Assessing the Impact of Changes in Mobility Behaviour to Evaluate Sustainable Transport Policies: Case of University Campuses of Politecnico di Milano. In: Nathanail, E., Karakikes, I. (eds) Data Analytics: Paving the Way to Sustainable Urban Mobility. CSUM 2018. Advances in Intelligent Systems and Computing, vol 879. Springer, Cham. https://doi.org/10.1007/978-3-030-02305-8_11

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  • DOI: https://doi.org/10.1007/978-3-030-02305-8_11

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