NSF-funded publication quantifies taxi sharing consumer benefits

Recently, TLC announced using Via’s software to enable yellow taxi sharing (https://lnkd.in/dxf-MU9) in favor of a taxi sharing policy. Our latest NSF-funded paper with researchers from NYU Tandon, CUSP, and Courant (Ziyi Ma, Matthew Urbanek, Maria Alejandra Pardo Baquero, Xuebo Lai), now in press, quantifies this benefit for riders that use taxi to access the airport (~10% improvement in consumer surplus) and demonstrate how different matching policies can significantly affect the spatial distribution of that benefit.

Ziyi Ma was supported by the NYU Undergraduate Summer Research Program. Joseph Chow was partially supported by National Science Foundation grant CMMI-1634973. The JFK airport taxi mode choice survey was shared by PANYNJ, which is gratefully acknowledged.

The open access paper can be found here: http://www.sciencedirect.com/science/article/pii/S2046043017300217.

NSF-funded paper accepted for presentation at IEEE ITSC 2017 in Yokohama

The latest paper, a joint effort between Yueshuai Brian He, Prof. Chow, and U. Toronto researcher Dr. Mehdi Nourinejad, has been accepted for presentation in the IEEE Intelligent Transportation Systems Conference held in Yokohama in fall 2017. The paper topic, “A Privacy Design Problem for Sharing Transport Service Tour Data”, investigates a method to protect the privacy of a private transport operator’s tour data by anonymizing it under the constraint of providing sufficiently accurate user performance metrics for public use. This work should be increasingly important as public agencies and private operators like Via and Lyft seek out data sharing arrangements to support smart cities.

This research is supported by NSF CAREER grant CMMI-1652735.

A preprint of the paper can be found here: https://www.researchgate.net/publication/318451988_A_Privacy_Design_Problem_for_Sharing_Transport_Service_Tour_Data

New publication in Transportation Research Part B on MaaS as part of a two-sided market

Our work on simulation-based evaluation of Mobility as a Service as a “2-sided market” is now published in TR Part B. The goal in this work is to develop a tool that can compare “apples to oranges” where the MaaS operator’s decisions and policies are also dependent on user interaction–whether at “within day” level or at “day-to-day” level of dependency. For example, this would allow a city agency to compare the welfare effects of a TNC with a particular surge pricing policy (within day dependency) with another scenario where an EV car sharing company may alter fleet size, composition, pricing policies over time (day-to-day).

Dr. Djavadian was supported by the Canada Research Chairs program and an NSERC Discovery Grant. Prof. Chow was partly supported by the C2SMART University Transportation Center. An early version of this work was presented at IATBR 2015 in Windsor, UK.

Professor Chow Receives Prestigious NSF Award

Joseph Chow is the recipient of an NSF CAREER award, entitled “CAREER: Urban Transport Network Design with Privacy-Aware Agent Learning”. The goal is to integrate research and teaching to culminate in a test bed in New York City that is expected to shape a next-generation national interdisciplinary research center on “smart transit” over the next decade.

The NYU Press Release can be found at NYU News and Publications

The abstract of the grant topic is available here.

BUILT to present research at the 21st Conference of the IFORS

Diego Correa will be presenting on the topic “Data-driven spatial-temporal dynamic equilibrium matching models of welfare effects from New York City taxi and Uber markets” in a session on Transport Economics and Operation in the Traffic Flow Theory and Control stream at the 21st Triennial conference on “OR/Analytics for a better world” to be held between July 17-21, 2017 in Quebec City, Canada. This work is under joint supervision of Professors Joseph Chow and Kaan Ozbay.

They conduct an empirical study to find the relationship between the built environment, service supply, and user demand by time of day for Uber using a spatial dynamic equilibrium taxi matching model. Given a matching friction, a spatial distribution of demand activities, and service coverage, the model outputs equilibrium fleet sizes, matches, and social welfare by zone and time of day.

The International Federation of Operational Research Societies (IFORS) is an umbrella organization for national operations research societies of over 45 countries from four geographical regions: Asia-Pacific, Europe, North America, and South America. IFORS conferences are triennial memorable events. IFORS 2017 will bring together operational researchers from around the globe.

 Learn more about: Joseph ChowKaan Ozbay, Diego Correa.

BUILT study to be presented at ISTTT22

Prof. Chow’s recent joint work with researchers at University of Maryland (led there by Prof. Paul Schonfeld), was accepted for publication and selected as one of 36 lectern presentations (out of over 300 initial submissions) at ISTTT 22, one of the most prestigious transportation symposiums in the world (their website: http://sites.northwestern.edu/isttt/). The paper’s title is “Stochastic dynamic switching in fixed and flexible transit services as market entry-exit real options”, with one application to enable stochastic control of autonomous vehicle fleets like NEXT (http://www.next-future-mobility.com/) to know when to couple and decouple vehicles in motion based on real-time data.

BUILT study on autonomous vehicle fleets referenced in The Village Voice

Stephen Miller published an article “Instead of Building De Blasio’s Streetcar, What If We Had Self-Driving Uber Vans” in The Village Voice. The article was a discussion focusing on the Brooklyn-Queens (BQX) streetcar, and the feasibility of replacing it with a fleet of self-driving, on-demand vans. The BUILT study developed an event-based simulation model to compare the performance of shared autonomous vehicle system against light rail system under the same demand patterns, route alignment, and operating speeds. The study was presented at the 96th Annual Meeting of the Transportation Research Board on January 11th, 2017 in Washington, D.C., and will be published in the Transportation Research Record: Journal of the Transportation Research Board.

A pre-print of the paper can be found here: 

Simulation experiment to compare light rail streetcar against shared autonomous vehicle fleet for Brooklyn Queens Connector