Efficiency and Effectiveness Analysis of Public Transport of Brazilian Cities

Abstract

Keywords: Urban Public Transportation Data Envelopment Analysis, Government and Public PoliciesThe public sector is responsible for the implementation of transport public policies that maximize the competitiveness of urban space and minimize the negative effects of its growth. For that, the proposal of actions must be guided by good performance indices. Taking the Competitiveness Indicators of Campinas (ICC) as a reference, this paper introduces three main contributions: improve the ICC public transport performance indicator; evaluate the performance of Brazilian municipalities over six years and analyses the efficiency vs. effectiveness strategy for each city. The Data Envelopment Analysis (DEA) results show the conflict among different municipalities strategies, while Curitiba and Betim emphasize the effectiveness of the service delivered São Bernardo e Salvador strategy is centered on efficiency.

Minibus taxis in Kampala's paratransit system: Operations, economics and efficiency

“…This section presents our economic and efficiency metrics, data collection process, and data processing methods. The efficiency of a public transport system can be analyzed using both subjective measures, such as user opinions and satisfaction surveys, and objective measures, such as numeric values for attributes like load factor (percentage occupancy), travel time and total passenger-kilometers covered (Sampaio et al, 2008;Mazzulla, 2011, 2012;Gorkem et al, 2014;Marcius et al, 2015). To study the operations of Kampala's paratransit system, both qualitative and quantitative data was collected between January and March 2016.…”

Development of Provisions for Evaluating the Effectiveness of Urban Public Passenger Transport System

“…The article [3] evaluates urban public transport using the data envelopment analysis method (DEA) for three scenarios: infrastructure efficiency, service effectiveness, and efficiency versus effectiveness (equal performance). A few characteristics of DEA are convenient to deal with the inputs and outputs data, for these data can have different units [3].…”

“…Nevertheless, the DEA method provides relative evaluation results. Hence, the route with a good evaluation result may still require improvements [3].…”

BikeWay: A Multi-Sensory Fuzzy-Based Quality Metric for Bike Paths and Tracks in Urban Areas

“…Another common scope for quality metrics is the assessment of urban transportation services, since they directly impact in the perceived quality of a city. In [17], different parameters are defined to assess the quality of the public bus service in different cities. The idea is to provide a reference for comparison of the provided services, taking as input some parameters such as the number of inhabitants, the available number of buses and the average number of daily passengers.…”