UBER PRICE DISTRIBUTION AS A MEASURE OF ACCESSIBILITY: AN EXPLORATORY ANALYSIS IN THE CITY OF SÃO PAULO

Abstract

The purpose of this paper is to understand if the estimated price for using the UBER application service can be used as a socioeconomic indicator to measure accessibility. New personal transport services such as UBER gain space in the shared economy and spread quickly around the world, creating a new way of transporting people. The distribution of transportation app fleets has been used to explain the socioeconomic distribution of various locations. Wang & Um (2018) enriched the accessibility study by analyzing UBER application utilization in the Atlanta (USA) region, using wait time as a socioeconomic indicator for accessibility. This study will analyze the price applied to use UBER service in the city of São Paulo, as an indicator of accessibility. Approximately 2.2 million price samples per service were collected, and exploratory analysis with quantitative approach through regression was performed.