Ride-hailing Impacts on Transit Ridership: Chicago Case Study

08/10/2020
by   Helena Breuer, et al.
0

Existing literature on the relationship between ride-hailing (RH) and transit services is limited to empirical studies that lack real-time spatial contexts. To fill this gap, we took a novel real-time geospatial analysis approach. With source data on ride-hailing trips in Chicago, Illinois, we computed real-time transit-equivalent trips for all 7,949,902 ride-hailing trips in June 2019; the sheer size of our sample is incomparable to the samples studied in existing literature. An existing Multinomial Nested Logit Model was used to determine the probability of a ride-hailer selecting a transit alternative to serve the specific O-D pair, P(Transit|CTA). We find that 31 replaceable, whereas 61 within a buffer zone. We measured the robustness of this probability using a parametric sensitivity analysis and performed a two-tailed t-test. Our results indicate that of the four sensitivity parameters, the probability was most sensitive to the total travel time of a transit trip. The main contribution of our research is our thorough approach and fine-tuned series of real-time spatiotemporal analyses that investigate the replaceability of ride-hailing trips for public transit. The results and discussion intend to provide perspective derived from real trips and we anticipate that this paper will demonstrate the research benefits associated with the recording and release of ride-hailing data.

READ FULL TEXT
research
01/06/2020

Preliminary Studies on the Usefulness of Nonlinear Boundary Element Method for Real-Time Simulation of Biological Organs

There is some literature on the application of linear boundary element m...
research
08/05/2022

A Case-Study of Sample-Based Bayesian Forecasting Algorithms

For a Bayesian, real-time forecasting with the posterior predictive dist...
research
05/07/2018

Real-time regression analysis with deep convolutional neural networks

We discuss the development of novel deep learning algorithms to enable r...
research
02/06/2013

Parametric Schedulability Analysis of Fixed Priority Real-Time Distributed Systems

Parametric analysis is a powerful tool for designing modern embedded sys...
research
10/27/2020

Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems

This paper explores the probability of deadline misses for a set of cons...
research
07/02/2020

BusTr: Predicting Bus Travel Times from Real-Time Traffic

We present BusTr, a machine-learned model for translating road traffic f...

Please sign up or login with your details

Forgot password? Click here to reset