The Impact of Public Transport Network Accessibility on Trip Generation Model

Krasić, Davor; Novačko, Luka

doi:10.7307/ptt.v27i2.1591

Cited by 10 publications

(7 citation statements)

References 5 publications

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“…Evidence of the relationship under study is scarce for the Global South context, particularly in Latin American countries. Of the 38 articles reviewed, only five are in Global South countries (Ding et al, 2016;Cheng et al, 2019;Krasić and Novačko, 2015;Wang and Cao, 2017;Masoumi, 2021). Moreover, most of the studies (24) are related to travel forecasting and focus on understanding the relationship between accessibility and the number of trips made.…”

Section: Accessibility and Activity Participationmentioning

confidence: 99%

Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil

Luz¹,

Barboza²,

Portugal³

et al. 2022

Preprint

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Most of the transport equity and TRSE studies assume that increasing accessibility levels lead to increased activity participation and, therefore, a reduction in social exclusion. Although this assumption makes sense from a theoretical point of view, this causal relationship has not yet been validated in practice. Previous studies investigating the accessibility-participation relationship were inconclusive, indicating that increasing accessibility has a limited impact on activity participation levels, if any. Moreover, the existing empirical evidence in the literature in the Global South context is scarce, is merely correlational and fails to infer causality between both variables. The contributions of the paper are threefold. First, (a) to provide a conceptual model of the causal relationship between accessibility, activity participation and risk of transport-related social exclusion (TRSE); second, (b) to summarise the available empirical evidence about the accessibility-activity participation relationship through a systematic literature review; and third, (c) to provide evidence of the causal relationship between accessibility and activity participation levels in a Global South context. Three Poisson regression models associated with an instrumental variable identification strategy were used to assess the causal effect between accessibility and participation in total, mandatory and discretionary activities in the city of São Paulo, Brazil. The three models showed a highly significant, strong correlation between an individuals’ accessibility level and their actual participation in total, mandatory and discretionary activities. Based on our results, we argue that low accessibility levels may severely restrict individuals’ life chances and add evidence that accessibility has to be an important instrument to support transport policies' decision-making.

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Section: Accessibility and Activity Participationmentioning

confidence: 99%

Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil

Luz¹,

Barboza²,

Portugal³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…El modelo de cuatro pasos ha sido el más utilizado en el mundo para la planificación en transportes desde los años 1950 [6]. Consta de cuatro etapas bien definidas y esquematizadas ampliamente en la literatura [7].…”

Section: Basado En Viajesunclassified

Estimación de Demanda de Tránsito: modelos clásico, basado en circuitos y basado en actividades. (Revisión Literaria)

Coto-Solano¹

2019

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Los modelos de transportes son representaciones de las redes de tránsito mediante la aplicación de procedimientos matemáticos y conceptos teóricos. El nivel de detalle que se incluya en la modelación determinará la precisión y el realismo del comportamiento de movilidad de la población a obtener. Los desarrolladores de estimaciones de tránsito deberán definir previamente el alcance, precisión deseada y recursos humanos y económicos con que cuentan para escoger un modelo. Las mejoras a los modelos de transporte han quedado relegadas al ámbito teórico de la investigación científica. Es necesaria la proyección de estas a los profesionales en el campo para su aplicación práctica. En este artículo se presenta una revisión bibliográfica de tres modelos de transportes frecuentemente utilizados en el mundo de modo que, quienes se encargan de estimar demanda de tránsito, puedan contar con una valoración de sus beneficios y limitaciones.

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“…The most commonly used transportation planning method from the 1950s until today was the four analytical steps method. This method had four sub-models describing trip generation, trip distribution, modal split, and route assignment [2]. But in this study, only trip generation (the first step) was considered to analyze in the study area of Hawassa City, Ethiopia.…”

Section: Introductionmentioning

confidence: 99%

“…2 , MSE, and RMSE values of 0.722, 2.37, 1.54, and 0.549, 1.32 1.15, respectively. Besides, the trips made based on time, the R 2 , MSE, and RMSE value of the public transport users' trip production model for trips made before 8:00 AM and for trips made after 4:00 PM indicated…”

mentioning

confidence: 95%

Modeling Public Transport Users’ Trip Production in Hawassa City, Ethiopia

Gebre¹,

Quezon²

2021

JCEST

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Today, overcrowded public transport demand, resulting in huge costs in an urban area. Similarly, there are a lot of people who use public transport in Hawassa city. This study aimed to develop public transport users' trip production models at the household level. Some socio-economic characteristics and trip detail of the public transport users were collected randomly from the different households through a questionnaire survey. The data gathered was fed into IBM SPSS package version 20 to develop linear regression models. The developed models are associated with trips for purpose and time intervals of trips made. The developed linear regression models, general trips, work trips, educational trips, and trips made before 8:00 AM and after 4:00 PM had good explanatory power. The value of explanatory power comprised of 0.656, 0.722, 0.549, 0.610 and 0.510. These values indicated the explanation power of the socio-economic characteristics on the trips made. It means the daily trips production was significantly affected by the number of working individuals, the different age brackets, cars and motorcycles, and the monthly income per household. The most frequent public transport users’ trips production regarding the trip purpose and time are work trips and occurred after 4:00 PM. This scenario represented a good model developed in this study. Hence, it is suggested that Hawassa city’s traffic management office use the developed models to predict the future trips demand to provide a proper scheme to avoid congestion during the peak hour of the day.

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The Impact of Public Transport Network Accessibility on Trip Generation Model

Abstract: SUMMARY

Cited by 10 publications

References 5 publications

Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil

Does better accessibility help to reduce social exclusion? Evidence from the City of São Paulo, Brazil

Estimación de Demanda de Tránsito: modelos clásico, basado en circuitos y basado en actividades. (Revisión Literaria)

Modeling Public Transport Users’ Trip Production in Hawassa City, Ethiopia

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