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Sustainable People Home-Work Logistics: An Integrated Model of Circular Economy in the Chiampo Valley

Author

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  • Maurizio Faccio

    (Department of Management and Engineering, Univerisity of Padova, Stradella San Nicola 3, 36100 Vicenza, Italy)

  • Serena Finco

    (Department of Management and Engineering, Univerisity of Padova, Stradella San Nicola 3, 36100 Vicenza, Italy)

  • Ilenia Zennaro

    (Department of Management and Engineering, Univerisity of Padova, Stradella San Nicola 3, 36100 Vicenza, Italy)

Abstract

Logistics activities, e.g., transportations of goods and people, are responsible for at least one-third of energy consumption and Green House Gas (GHG) emissions. About 70% of them are related to people’s mobility, with millions of cars moving every day. The people home-work logistics represents undoubtedly an important part of it since flows are concentrated on fixed time windows (beginning, lunch break, and end of the working day) creating huge traffic congestions and negative impacts on time, economics, and the environment. This study proposes an integrated model, summarized through a methodological framework, where three actors (companies, public administrations and local shops) work together aiming to economically incentivize the use of sustainable mobility systems. Three are the main elements of the proposed sustainable people home-work logistics model: (1) the economic self-sustainability of the incentives, funded in different ways by the actors, (2) the scalability, thanks to the possibility to add new territories to the project and (3) the territorial circular economy generated thanks to the incentive’s destinations and the public-private integration. Starting from survey questionnaires and territorial attributes, sustainable mobility ways are defined. Then, participant workers are monitored by activating a mobile app, called Ecoattivi, during their home-work journeys. In such a way, workers can directly analyze their sustainable mobility and reach the possibility to accumulate and spend money in local shops as a function of the saved CO 2 . On the other hand, companies and public administrations compete in a special ranking for sustainable mobility. The methodological framework has been applied to a real case study in the Chiampo Valley, in the northeast of Italy, where about 10 small towns and dozens of companies in 2020 started the “Bike to Work Valchiampo” project.

Suggested Citation

  • Maurizio Faccio & Serena Finco & Ilenia Zennaro, 2021. "Sustainable People Home-Work Logistics: An Integrated Model of Circular Economy in the Chiampo Valley," Sustainability, MDPI, vol. 13(21), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:12009-:d:668623
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    References listed on IDEAS

    as
    1. Gneezy, Uri & Rustichini, Aldo, 2000. "A Fine is a Price," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 1-17, January.
    2. repec:cdl:uctcwp:qt2vw4n4zc is not listed on IDEAS
    3. Phang, Sock-Yong & Toh, Rex S., 1997. "From manual to electronic road congestion pricing: The Singapore experience and experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 33(2), pages 97-106, June.
    4. Phattarasuda Witchayaphong & Surachet Pravinvongvuth & Kunnawee Kanitpong & Kazushi Sano & Suksun Horpibulsuk, 2020. "Influential Factors Affecting Travelers’ Mode Choice Behavior on Mass Transit in Bangkok, Thailand," Sustainability, MDPI, vol. 12(22), pages 1-18, November.
    5. Xiaomei Lin & Yusak O. Susilo & Chunfu Shao & Chengxi Liu, 2018. "The Implication of Road Toll Discount for Mode Choice: Intercity Travel during the Chinese Spring Festival Holiday," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    6. Chang, Gang-Len & Mahmassani, Hani S., 1988. "Travel time prediction and departure time adjustment behavior dynamics in a congested traffic system," Transportation Research Part B: Methodological, Elsevier, vol. 22(3), pages 217-232, June.
    7. Koppelman, Frank S. & Bhat, Chandra R. & Schofer, Joseph L., 1993. "Market research evaluation of actions to reduce suburban traffic congestion: Commuter travel behavior and response to demand reduction actions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 27(5), pages 383-393, September.
    8. repec:cdl:uctcwp:qt0rm449sx is not listed on IDEAS
    9. Small, Kenneth A. & Yan, Jia, 2001. "The Value of "Value Pricing" of Roads: Second-Best Pricing and Product Differentiation," Journal of Urban Economics, Elsevier, vol. 49(2), pages 310-336, March.
    10. Le, Tung & Vu, Hai L. & Walton, Neil & Hoogendoorn, Serge P. & Kovács, Péter & Queija, Rudesindo N., 2017. "Utility optimization framework for a distributed traffic control of urban road networks," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 539-558.
    11. Saleh, Wafaa & Farrell, Séona, 2005. "Implications of congestion charging for departure time choice: Work and non-work schedule flexibility," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(7-9), pages 773-791.
    12. Ioannis-Dimosthenis Ramandanis & Ioannis Politis & Socrates Basbas, 2020. "Assessing the Environmental and Economic Footprint of Electronic Toll Collection Lanes: A Simulation Study," Sustainability, MDPI, vol. 12(22), pages 1-25, November.
    13. repec:cdl:uctcwp:qt9569k1sz is not listed on IDEAS
    14. Lam, Terence C. & Small, Kenneth A., 0. "The value of time and reliability: measurement from a value pricing experiment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(2-3), pages 231-251, April.
    15. Tian, Ye & Li, Yudi & Sun, Jian & Ye, Jianhong, 2021. "Characterizing favored users of incentive-based traffic demand management program," Transport Policy, Elsevier, vol. 105(C), pages 94-102.
    16. Jian Wang & Libing Chi & Xiaowei Hu & Hongfei Zhou, 2014. "Urban Traffic Congestion Pricing Model with the Consideration of Carbon Emissions Cost," Sustainability, MDPI, vol. 6(2), pages 1-16, February.
    17. Eva Brumercikova & Bibiana Bukova & Eva Nedeliakova, 2020. "A Proposal for the Account-Based Ticketing Application in Passenger Transport in the Slovak Republic: A Case Study," Sustainability, MDPI, vol. 12(14), pages 1-13, July.
    18. Sun, Jian & Wu, Jiyan & Xiao, Feng & Tian, Ye & Xu, Xiangdong, 2020. "Managing bottleneck congestion with incentives," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 143-166.
    19. Li, Tianhao & Chen, Peng & Tian, Ye, 2021. "Personalized incentive-based peak avoidance and drivers’ travel time-savings," Transport Policy, Elsevier, vol. 100(C), pages 68-80.
    20. Litman, Todd, 2003. "The Online TDM Encyclopedia: mobility management information gateway," Transport Policy, Elsevier, vol. 10(3), pages 245-249, July.
    21. Ben-Elia, Eran & Ettema, Dick, 2009. "Carrots versus sticks: Rewarding commuters for avoiding the rush-hour--a study of willingness to participate," Transport Policy, Elsevier, vol. 16(2), pages 68-76, March.
    22. Maurizio Faccio & Alessandro Persona & Fabio Sgarbossa & Giorgia Zanin, 2011. "Multi-stage supply network design in case of reverse flows: a closed-loop approach," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 12(2), pages 157-191.
    23. Xijie Li & Ying Lv & Wei Sun & Li Zhou, 2019. "Cordon- or Link-Based Pricing: Environment-Oriented Toll Design Models Development and Application," Sustainability, MDPI, vol. 11(1), pages 1-16, January.
    24. Yigang Wei & Cui Huang & Patrick T. I. Lam & Yong Sha & Yong Feng, 2015. "Using Urban-Carrying Capacity as a Benchmark for Sustainable Urban Development: An Empirical Study of Beijing," Sustainability, MDPI, vol. 7(3), pages 1-25, March.
    25. Bonsall, Peter & Shires, Jeremy & Maule, John & Matthews, Bryan & Beale, Jo, 2007. "Responses to complex pricing signals: Theory, evidence and implications for road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(7), pages 672-683, August.
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    1. Julio César dos Santos & Paulo Ribeiro & Ricardo Jorge Silva Bento, 2023. "A Review of the Promotion of Sustainable Mobility of Workers by Industries," Sustainability, MDPI, vol. 15(11), pages 1-18, May.

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