UBC Theses and Dissertations
Evaluation of new mobility services with API data : investigating equity of Uber’s wheelchair accessible service Hassanpour Matikolaei, Amir
Better understanding of the impacts of new mobility services (NMS) is needed to inform evidence-based policy, but cities and researchers are hindered by a lack of access to detailed system data. Application Programming Interface (API) services can be a medium for real-time data sharing and have been used for data collection in the past. However, the literature lacks a systematic examination of the potential value of publicly-available API data for extracting policy-relevant information, specifically supply and demand, on NMS. This thesis is comprised of two main parts. The objectives of part 1 are to catalogue all the publicly-available API data streams for NMS in three major cities known as the Cascadia Corridor (Vancouver, British Columbia, Seattle, Washington, and Portland, Oregon), to create, apply, and share web data extraction tools (Python scripts) for each API, and to assess the usefulness of the extracted data in quantifying supply and demand for each service. The objective of part 2 is to use the data extracted in part 1 to assess the equity performance of Uber’s wheelchair accessible service, UberWAV, by itself and in comparison to the standard Uber service, UberX. In part 2 the temporal and spatial distributions of the availability and accessibility of each service is investigated. Results of part 1 reveal some measures of supply and demand that can be extracted from API data and useful in future analysis. However, important information on supply and demand of most of the NMS in these cities cannot be obtained through API data extraction. Stronger open data policies for mobility services are therefore needed if policymakers want to obtain useful and independent insights on the usage of these services. Results of part 2 show that unlike UberX which is almost universally available, UberWAV is only available 60% of the time with an average wait time of 16 minutes on average (4 times that of UberX). The distributional analysis shows no inequitable distribution of availability or accessibility of UberWAV in Portland, Oregon with regards to income, and race. To make UberWAV more available and accessible, cities must enforce stronger licensing schemes to ridesourcing companies.
Item Citations and Data
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