Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport

04/09/2021
by   Oded Cats, et al.
0

Since ride-hailing has become an important travel alternative in many cities worldwide, a fervent debate is underway on whether it competes with or complements public transport services. We use Uber trip data in six cities in the United States and Europe to identify the most attractive public transport alternative for each ride. We then address the following questions: (i) How does ride-hailing travel time and cost compare to the fastest public transport alternative? (ii) What proportion of ride-hailing trips that do not have a viable public transport alternative? (iii) How does ride-hailing change overall service accessibility? (iv) What is the relation between demand share and relative competition between the two alternatives? Our findings suggest that the dichotomy - competing with or complementing - is false. Though the vast majority of ride-hailing trips have a viable public transport alternative, between 20 transport alternative. The increased service accessibility attributed to the inclusion of ride-hailing is greater in our US cities than in their European counterparts. Demand split is directly related to the relative competitiveness of travel times i.e. when public transport travel times are competitive ride-hailing demand share is low and vice-versa.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 12

page 13

page 14

05/25/2021

Public Transportation Demand Analysis: A Case Study of Metropolitan Lagos

Modelling, simulation, and forecasting offer a means of facilitating bet...
08/25/2015

Inferring Passenger Type from Commuter Eigentravel Matrices

A sufficient knowledge of the demographics of a commuting public is esse...
08/31/2020

Curb Your Normality: On the Quality Requirements of Demand Prediction for Dynamic Public Transport

As Public Transport (PT) becomes more dynamic and demand-responsive, it ...
07/19/2018

Estimation of Time Delay caused by Point Geometry in Public Transport

Travel time prediction is a well-renowned topic of research. It is prima...
12/07/2021

Passenger Network Ridership Model Through a BRT System, the case of TransMilenio in Bogotá

We present a ridership model of individual trajectories of users within ...
04/12/2021

What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing

Mobility and transport, by their nature, involve crowds and require the ...
02/03/2021

Predicting the probability distribution of bus travel time to move towards reliable planning of public transport services

An important aspect of the quality of a public transport service is its ...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.