The welfare costs of traffic congestion in São Paulo Metropolitan Area

Vale, Ricardo

doi:10.11606/d.96.2018.tde-01082018-091126

Cited by 3 publications

(2 citation statements)

References 10 publications

(19 reference statements)

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“…It directly affects people's quality of life and has a high impact on the economy, both strong motivations for the development of more efficient transportation systems. For example, traffic congestion in the São Paulo metropolitan area is estimated to impact 89% of work-related commuting trips, causing monetary losses of seven billion reals (∼US$1.8 billion) every year [Vale 2018].…”

Section: Introductionmentioning

confidence: 99%

Visualizing the structure of urban mobility with bundling: A case study of the city of São Paulo

Martins¹,

Lago²,

Souza³

et al. 2020

Anais Do Workshop De Computação Urbana (CoUrb 2020)

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Visualization of urban mobility data can facilitate the analysis and the decision-making process by public managers. However, mobility datasets tend to be very large and pose several challenges to the use of visualization, such as algorithm scalability and data occlusion. One approach to solve this problem is trail bundling, which groups motion trails that are spatially close in a simplified representation. This paper presents the results of adapting and using a recent bundling technique on a big dataset of urban mobility in São Paulo. The results show that bundling allows the visualization of various mobility patterns in the city.

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Section: Introductionmentioning

confidence: 99%

Visualizing the structure of urban mobility with bundling: A case study of the city of São Paulo

Martins¹,

Lago²,

Souza³

et al. 2020

Anais Do Workshop De Computação Urbana (CoUrb 2020)

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show abstract

“…Also, there is an increasing cycling infrastructure in the capital that is being expanded in the last decade. Although these investments have increased in recent years, the SPMA still suffers from traffic congestion, especially during peak hours [24,3]. Thus, there is a need for a better understanding of the traffic behavior in the SPMA to propose new policies to improve mobility for its citizens.…”

Section: São Paulo Metropolitan Areamentioning

confidence: 99%

Using Bundling to Visualize Multivariate Urban Mobility Structure Patterns in the Sao Paulo Metropolitan Area

Martins

Lago

Sant’Ana

et al. 2020

Preprint

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Internet-based technologies such as IoT, GPS-based systems, and cellular networks enable the collection of geolocated mobility data of millions of people in large metropolitan areas. In addition, large, public datasets are made available on the Internet by open government programs, providing ways for citizens, NGOs, scientists, and public managers to perform a multitude of data analysis with the goal of better understanding the city dynamics to provide means for evidence-based public policymaking. However, it is challenging to visualize huge amounts of data from mobility datasets. Plotting raw trajectories on a map often causes data occlusion, impairing the visual analysis. Displaying the multiple attributes that these trajectories come with is an even larger challenge. One approach to solve this problem is trail bundling, which groups motion trails that are spatially close in a simplified representation. In this paper, we augment a recent bundling technique to support multi-attribute trail datasets for the visual analysis of urban mobility. Our case study is based on the travel survey from the Sao Paulo Metropolitan Area, which is one of the most intense traffic areas in the world. The results show that bundling helps the identification and analysis of various mobility patterns for different data attributes, such as peak hours, social strata, and transportation modes.

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Using bundling to visualize multivariate urban mobility structure patterns in the São Paulo Metropolitan Area

Martins

Lago

Sant’Ana

et al. 2021

J Internet Serv Appl

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Internet-based technologies such as IoT, GPS-based systems, and cellular networks enable the collection of geolocated mobility data of millions of people in large metropolitan areas. In addition, large, public datasets are made available on the Internet by open government programs, providing ways for citizens, NGOs, scientists, and public managers to perform a multitude of data analysis with the goal of better understanding the city dynamics to provide means for evidence-based public policymaking. However, it is challenging to visualize huge amounts of data from mobility datasets. Plotting raw trajectories on a map often causes data occlusion, impairing the visual analysis. Displaying the multiple attributes that these trajectories come with is an even larger challenge. One approach to solve this problem is trail bundling, which groups motion trails that are spatially close in a simplified representation. In this paper, we augment a recent bundling technique to support multi-attribute trail datasets for the visual analysis of urban mobility. Our case study is based on the travel survey from the São Paulo Metropolitan Area, which is one of the most intense traffic areas in the world. The results show that bundling helps the identification and analysis of various mobility patterns for different data attributes, such as peak hours, social strata, and transportation modes.

show abstract

The welfare costs of traffic congestion in São Paulo Metropolitan Area

Abstract: VALE, R. C. C. The welfare costs of traffic congestion in São Paulo Metropolitan Area. Thesis (Master's Degree)-School of Economics, Business and Accounting

Cited by 3 publications

References 10 publications

Visualizing the structure of urban mobility with bundling: A case study of the city of São Paulo

Visualizing the structure of urban mobility with bundling: A case study of the city of São Paulo

Using Bundling to Visualize Multivariate Urban Mobility Structure Patterns in the Sao Paulo Metropolitan Area

Using bundling to visualize multivariate urban mobility structure patterns in the São Paulo Metropolitan Area

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