Investigação do comportamento relativo a viagens encadeadas a partir de participação em atividades, variáveis socioeconômicas e características agregadas das alternativas modais

Gomes, Viviani Antunes; Caldas, Marina Urano de Carvalho; Pitombo, Cira Souza

doi:10.14295/transportes.v29i1.2302

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…Therefore, some independent variables could be included for only some of the 5 utility functions. For a detailed methodological explanation, the reader is referred to Caldas, Pitombo, and Assirati [39] and Gomes, Caldas, and Pitombo [48]. With this reduced set of variables, the Variance Inflation Factor (VIF) was also calculated to evaluate any remaining multicollinearity in the data.…”

Section: Methodological Proceduresmentioning

confidence: 99%

Relationships between Teleworking and Travel Behavior in the Brazilian COVID-19 Crisis

Dias

2023

Future Transportation

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The COVID-19 pandemic caused a significant shift towards teleworking, resulting in changes in travel patterns. The relationship between teleworking and individual travel behavior is crucial for transportation planning and policymaking. Thereby, this article investigates the relationships between teleworking, COVID-19, and mobility patterns in Brazil during two different periods of the COVID-19 pandemic. Given the exceptional nature of recent events, it is crucial to conduct studies related to teleworking during the pandemic crisis to contribute relevant information and evidence to the literature on this phenomenon. Such research has the potential to provide new insights and perspectives that enhance our understanding of the challenges and opportunities associated with teleworking. Two different approaches were used in the methodological procedure. The first approach used exploratory analysis to study public aggregated data related to the beginning of the pandemic, followed by a cluster analysis and a multinomial logit model. The second approach, relative to a longer relaxation period of sanitary/health measures, collected disaggregated self-reported data using an online survey, which were analyzed through non-parametric tests. The results show a strong relationship between the teleworking regime and the frequency of trips, especially for work purposes. It also highlights the influence of economic development and the region of Brazil in the kind of work regime. The continuation of studies, such as this one, in current periods is important for analyzing possible impacts, such as the reduction in congestion, vehicle emissions, and to enable the use of teleworking as a demand management policy.

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Section: Methodological Proceduresmentioning

confidence: 99%

Relationships between Teleworking and Travel Behavior in the Brazilian COVID-19 Crisis

Dias

2023

Future Transportation

Self Cite

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Travel behavior and activity resilience regarding the COVID-19 pandemic in Brazil: An approach based on smartphone panel data

Ciriaco

Pitombo

Assirati

2023

Case Studies on Transport Policy

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In general terms, discrete choice models are calibrated using data obtained from Revealed Preference (RP) and Stated Preference (SP) surveys. In transportation planning, one of the main sources of data is the Origin/Destination (O/D) Survey, which is an R

Gomes

Pitombo

Assirati

2022

ECUM

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In general terms, discrete choice models are calibrated using data obtained from Revealed Preference (RP) and Stated Preference (SP) surveys. In transportation planning, one of the main sources of data is the Origin/Destination (O/D) Survey, which is an RP survey and describes the actual choices and behaviors of individuals. However, it is not possible, through this source, to characterize the alternatives not chosen. This study has two related aims: (1) to propose a criterion to characterize the travel mode alternatives using RP data, and (2) to test the improvement of travel mode choice estimates based on including characteristics of alternatives. First, the CART (Classification and Regression Tree) algorithm was used to characterize the travel times of the travel modes available in the study area (city of São Paulo, Brazil). The trips were classified according to independent variables selected by the algorithm, and average travel time values were obtained for five travel mode alternatives – information not previously available in the RP survey. Finally, the improvement of discrete choice modeling, based on including average travel times, was tested using a validation sample and performance metrics, such as Hit rates and LogLikelihood values. An increase in estimates was observed from including travel duration, and the proposed method is an academic contribution to the modeling based on RP data.

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Investigação do comportamento relativo a viagens encadeadas a partir de participação em atividades, variáveis socioeconômicas e características agregadas das alternativas modais

Cited by 3 publications

References 35 publications

Relationships between Teleworking and Travel Behavior in the Brazilian COVID-19 Crisis

Relationships between Teleworking and Travel Behavior in the Brazilian COVID-19 Crisis

Travel behavior and activity resilience regarding the COVID-19 pandemic in Brazil: An approach based on smartphone panel data

In general terms, discrete choice models are calibrated using data obtained from Revealed Preference (RP) and Stated Preference (SP) surveys. In transportation planning, one of the main sources of data is the Origin/Destination (O/D) Survey, which is an R

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