Abstract
Transportation systems play a major role in modern urban contexts, where citizens are expected to travel in order to engage in social and economic activities. Modern transportation systems incorporate technologies that generate huge volumes of data, which can be processed to extract valuable mobility information. This article describes a proposal for studying public transportation systems following an urban data analysis approach. A thorough analysis of the transportation system in Montevideo, Uruguay, and its usage is outlined, combining several sources of urban data. Furthermore, origin-destination matrices, which describe mobility patterns in the city, are generated using ticket sales data. The computed results are validated with a recent mobility survey. Finally, a visualization web application is presented, which allows conveying mobility information in an intuitive way.
Highlights
Mobility of citizens is a critical issue emerging from the urbanization process
Ticket sales data contain smart card transaction records, including: trip identifier, GPS coordinates of the smart card validation, bus stop identifier, time stamp of the smart card validation, unique smart card identifier, number of passengers traveling with the same smart card, and leg number
This section outlines the main results of the urban data analysis process to characterize the use of the public transportation system in Montevideo, Uruguay
Summary
Mobility of citizens is a critical issue emerging from the urbanization process. The geographical organization of urban scenarios demands citizens to travel for engaging in social and economic activities. Public transportation systems are the cornerstone of urban mobility, as they represent the most efficient, sustainable, and socially fair mode of transportation [1]. Understanding the synergy between citizens and public transportation is a key factor to improve mobility in a city. Modern smart cities use technology in order to improve urban services [2]. Related to smart cities are Intelligent Transportation Systems (ITS), using technology to improve mobility. ITS collect large volumes of urban data [3] that allow understanding the mobility of citizens. For this purpose, urban data analysis arises as a valuable tool to derive information from raw urban data sources
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