Evaluating the Effect of Switching Taxi Demand into Ridesharing Mode: A Case Study in Chicago

• Autorzy: Zhang Cheng , Ballarano Dario , Quadrifoglio Luca

Identyfikatory

DOI

10.29227/IM-2024-02-53

Warianty tytułu

PL

Ocena efektu zamiany popytu na taksówki na tryb wspóldzielenia przejazdów: Studium przypadku w Chicago

• Konferencja: 9th World Multidisciplinary Congress on Civil Engineering, Architecture, and Urban Planning - WMCCAU 2024 : 2-6.09.2024
• Języki publikacji: EN

Abstrakty

EN

The rapidly expanded urban landscapes lead to an escalation of traffic congestion and its consequences in terms of overall delay experienced by travelers. Ridesharing emerges as a sustainable and practical method to reduce traffic congestion in urban areas. This paper analyzes and quantifies the macroscopic effects of converting a sizeable portion of taxi rides from conventional direct point-to-point service into a ridesharing modality in a large metropolitan area, using an available large set of taxi trips from Chicago. We simulate and evaluate the pros and cons of various scenarios of ridesharing modalities, starting with a pairing mode, with maximum of two passengers, up to a full ridesharing mode, with four passengers per vehicle. In particular, we aim to maximize the reduction of total driven miles, yet ensure an acceptable level of service to passengers by imposing a maximum additional waiting time of 15 minutes and a journey time increased by half compared to the traditional cab rides. Results show up to more than 50% less total driven miles with only an average of about 11% extra time on vehicle per passenger. Sensitivity analyses are conducted to evaluate the effect of ridesharing capacity and service levels with expected yet now quantified trends. The following actions ordered by effectiveness will positively influence the total mileage savings: 1) increase the maximum number of passengers matched together to one vehicle, 2) Increase acceptance of an extra time in relation to the travel time, 3) Increase the waiting time availability of other passengers for ridesharing. The experiment aims to provide tools and detailed information for planners and policymakers to intervene by incentivizing a conversion, even if partial, of the taxi services into ridesharing service, presenting an opportunity to improve traffic conditions and the overall efficiency of the transportation system.

Słowa kluczowe

EN

large urban areas; ridesharing; mileage saving; travel quality; vehicle occupancy

PL

duże obszary miejskie; współdzielenie przejazdów; oszczędność kilometrów; jakość podróży; zajętość pojazdów

• Wydawca: Polskie Towarzystwo Przeróbki Kopalin
• Czasopismo: Inżynieria Mineralna
• Rocznik: 2024
• Tom: Vol. 2, no. 2
• Strony: art. no. 53
• Opis fizyczny: Bibliogr. 22 poz., rys., tab., wykr.

Twórcy

autor

Zhang Cheng

• Texas A&M University, Civil and Environmental Engineering, 3136 TAMU College Station, Texas

• https://orcid.org/0000-0001-5236-6539

autor

Ballarano Dario

• Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre Rome, Italy

• https://orcid.org/0000-0002-9430-7032

autor

Quadrifoglio Luca

• Zachry Department of Civil and Environmental Engineering, Texas A&M University College Station, Texas

• https://orcid.org/0000-0002-2596-7504

Bibliografia

• 1. Alisoltani, Negin, Ludovic Leclercq, and Mahdi Zargayouna. "Can dynamic ride-sharing reduce traffic congestion?." Transportation research part B: methodological 145 (2021): 212-246.
• 2. National Household Travel Survey. https://nhts.ornl.gov/. Accessed Jul. 24, 2024.
• 3. Di Febbraro, Angela, Enrico Gattorna, and Nicola Sacco. "Optimization of dynamic ridesharing systems." Transportation research record 2359, no. 1 (2013): 44-50.
• 4. Deakin, Elizabeth, Karen Trapenberg Frick, and Kevin M. Shively. "Markets for dynamic ridesharing? Case of Berkeley, California." Transportation Research Record 2187, no. 1 (2010): 131-137.
• 5. Rodier, Caroline, Farzad Alemi, and Dylan Smith. "Dynamic ridesharing: Exploration of potential for reduction in vehicle miles traveled." Transportation Research Record 2542, no. 1 (2016): 120-126.
• 6. Gerte, Raymond, Karthik C. Konduri, and Naveen Eluru. "Is there a limit to adoption of dynamic ridesharing systems? Evidence from analysis of Uber demand data from New York City." Transportation Research Record 2672, no. 42 (2018): 127-136.
• 7. Komanduri, Anurag, Zeina Wafa, Kimon Proussaloglou, and Simon Jacobs. "Assessing the impact of app-based ride share systems in an urban context: Findings from Austin." Transportation Research Record 2672, no. 7 (2018): 34-46.
• 8. Schreieck, Maximilian, Hazem Safetli, Sajjad Ali Siddiqui, Christoph Pflügler, Manuel Wiesche, and Helmut Kremar. "A matching algorithm for dynamic ridesharing." Transportation Research Procedia 19 (2016): 272-285.
• 9. Agatz, Niels, Alan Erera, Martin Savelsbergh, and Xing Wang. "Optimization for dynamic ride-sharing: A review." European Journal of Operational Research 223, no. 2 (2012): 295-303.
• 10. Calvo, Roberto Wolfler, Fabio de Luigi, Palle Haastrup, and Vittorio Maniezzo. "A distributed geographic information system for the daily car pooling problem." Computers & Operations Research 31, no. 13 (2004): 2263-2278.
• 11. Paquette, Julie, Jean-François Cordeau, and Gilbert Laporte. "Quality of service in dial-a-ride operations." Computers & Industrial Engineering 56, no. 4 (2009): 1721-1734.
• 12. Fiedler, David, Michal Čertický, Javier Alonso-Mora, and Michal Čáp. "The impact of ridesharing in mobility-ondemand systems: Simulation case study in Prague." In 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 1173-1178. IEEE, 2018.
• 13. Engelhardt, Roman, Florian Dandl, Aledia Bilali, and Klaus Bogenberger. "Quantifying the benefits of autonomous ondemand ride-pooling: A simulation study for munich, Germany." In 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 2992-2997. IEEE, 2019.
• 14. Santi, Paolo, Giovanni Resta, Michael Szell, Stanislav Sobolevsky, Steven H. Strogatz, and Carlo Ratti. "Quantifying the benefits of vehicle pooling with shareability networks." Proceedings of the National Academy of Sciences 111, no. 37 (2014): 13290-13294.
• 15. Shen, Chung-Wei, and Luca Quadrifoglio. "Evaluation of zoning design with transfers for paratransit services." Transportation research record 2277, no. 1 (2012): 82-89.
• 16. Lu, Wei, Luca Quadrifoglio, and Marco Petrelli. "Reliability analysis of centralized versus decentralized zoning strategies for paratransit services." Transportation research procedia 25 (2017): 4096-4109.
• 17. Sarriera, Javier Morales, Germán Escovar Álvarez, Kelly Blynn, Andrew Alesbury, Timothy Scully, and Jinhua Zhao. "To share or not to share: Investigating the social aspects of dynamic ridesharing." Transportation Research Record 2605, no. 1 (2017): 109-117.
• 18. Song, Changle, Julien Monteil, Jean-Luc Ygnace, and David Rey. "Incentives for ridesharing: A case study of welfare and traffic congestion." Journal of Advanced Transportation 2021, no. 1 (2021): 6627660.
• 19. Chen, Ying, Michael Hyland, Michael Patrick Wilbur, and Hani S. Mahmassani. "Characterization of taxi fleet operational networks and vehicle efficiency: Chicago case study." Transportation Research Record 2672, no. 48 (2018): 127-138.
• 20. Alonso-Mora, Javier, Samitha Samaranayake, Alex Wallar, Emilio Frazzoli, and Daniela Rus. "On-demand highcapacity ride-sharing via dynamic trip-vehicle assignment." Proceedings of the National Academy of Sciences 114, no. 3 (2017): 462-467.
• 21. Yan, Longxu, Xiao Luo, Rui Zhu, Paolo Santi, Huizi Wang, De Wang, Shangwu Zhang, and Carlo Ratti. "Quantifying and analyzing traffic emission reductions from ridesharing: A case study of Shanghai." Transportation Research Part D: Transport and Environment 89 (2020): 102629.
• 22. Zhang, Cheng, Luca Quadrifoglio, and Dario Ballarano. "A pairing ridesharing model to reduce congestion in large urban areas." In AIP Conference Proceedings, vol. 2928, no. 1. AIP Publishing, 2023.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).