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Transportation Planning and Technology Volume 44, 2021 - Issue 2
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Evaluating car-sharing switching rates from traditional transport means through logit models and Random Forest classifiers

Riccardo CeccatoDepartment of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, ItalyORCID Iconhttps://orcid.org/0000-0002-7546-0445View further author information
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Andrea ChiccoDepartment of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, ItalyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-0266-4735View further author information
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Marco DianaDepartment of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, ItalyORCID Iconhttps://orcid.org/0000-0003-3832-6834View further author information
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Pages 160-175 | Received 11 Nov 2019, Accepted 28 Oct 2020, Published online: 04 Jan 2021

Citations (12)

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Read on this site (2)

Mirijam Mock. (2023) Making and breaking links: the transformative potential of shared mobility from a practice theories perspective. Mobilities 18:3, pages 374-390.
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Maria Nikoletta Asimakopoulou, Lambros Mitropoulos & Christina Milioti. (2022) Exploring factors affecting ridesharing users in academic institutes in the region of Attica, Greece. Transportation Planning and Technology 45:5, pages 449-472.
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Articles from other publishers (10)

Jingran Xu, Dea van Lierop & Dick Ettema. (2024) Dynamics in residential relocation, car ownership, and carsharing adoption in neighborhoods with a high prevalence of carsharing. Cities 146, pages 104770.
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Agus Pratondo, Astri Novianty & Bambang Pudjoatmodjo. (2023) Prediction of Payment Method in Convenience Stores Using Machine Learning. Prediction of Payment Method in Convenience Stores Using Machine Learning.
Xiang Li, He Zhao & Hongguang Ma. (2023) Operations management of shared transport: research status and prospect. Journal of Data, Information and Management 5:4, pages 281-316.
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Agus Pratondo, Nanang Ismail & Astri Novianty. (2023) Browser Preference Prediction for Computer Users using Machine Learning. Browser Preference Prediction for Computer Users using Machine Learning.
Santhanakrishnan Narayanan, Nikita Makarov, Evripidis Magkos, Josep Maria Salanova Grau, Georgia Aifadopoulou & Constantinos Antoniou. (2023) Can Bike-Sharing Reduce Car Use in Alexandroupolis? An Exploration through the Comparison of Discrete Choice and Machine Learning Models. Smart Cities 6:3, pages 1239-1253.
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Zahra Shams Esfandabadi, Meisam Ranjbari & Simone Domenico Scagnelli. (2023) The Pandemic Implications for Carsharing: An Italian Context. Future Transportation 3:1, pages 274-285.
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Péter Bucsky & Mattias Juhász. (2022) Is car ownership reduction impact of car sharing lower than expected? A Europe wide empirical evidence. Case Studies on Transport Policy 10:4, pages 2208-2217.
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María Vega-Gonzalo & Panayotis Christidis. (2022) Fair Models for Impartial Policies: Controlling Algorithmic Bias in Transport Behavioural Modelling. Sustainability 14:14, pages 8416.
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Ho-Yin Chan, Yingying Xu, Anthony Chen & Xintao Liu. (2022) Impacts of the walking environment on mode and departure time shifts in response to travel time change: Case study in the multi-layered Hong Kong metropolis. Travel Behaviour and Society 28, pages 288-299.
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Santhanakrishnan Narayanan, Nikita Makarov, Evripidis Magkos, Josep-Maria Salanova Grau, Georgia Ayfantopoulou & Constantinos Antoniou. (2021) Can Bike-Sharing Systems Reduce Private Car Use? - An Exploration Through The Comparison of Discrete Choice and Machine Learning Models. SSRN Electronic Journal.
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