Defining and understanding trip chaining behaviour

Primerano, Frank; Taylor, Michael A.P.; Pitaksringkarn, Ladda; Tisato, Peter

doi:10.1007/s11116-007-9134-8

Cited by 165 publications

(105 citation statements)

References 17 publications

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“…By contrast, non-work travellers are more likely to see attractions of the same type as substitutes for each other (i.e., the spatial competition effect is observed) because of two reasons. First, travellers undertaking trips for nonwork purposes are more likely to chain activities of different types than activities of the same type (Primerano et al, 2008). Thus, attractions of different types complement each other when it comes 15 to trip chaining.…”

Section: Estimation Resultsmentioning

confidence: 99%

A workplace choice model accounting for spatial competition and agglomeration effects

Hensher

2016

Journal of Transport Geography

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This paper develops a new model of workplace choice for the Sydney Greater Metropolitan Area (SGMA) and describes the way in which this model is integrated into a general modelling framework of MetroScan, an improved version of the Transportation and Environment Strategy Impact Simulator Transportation (TRESIS). The developed model accounts for spatial competition of alternative workplaces via accessibility variables measured to attractions of both the same and different types. The new model also has two new refinements. First, a much finer geographical level is used for modelling worker's choice of workplace given the location of firms and the distribution of jobs. Second, an employment agglomeration effect is incorporated by the inclusion of jobs in the industry class relevant to the worker and two accessibility measures. Modelling analysis on data collected from a survey conducted in Sydney in 2013 identifies highly significant spatial competition and employment agglomeration effects explaining workplace choice. The application of this model to analyse policy relating to the redistribution or growth of jobs within a general framework of MetroScan is discussed.

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Section: Estimation Resultsmentioning

confidence: 99%

A workplace choice model accounting for spatial competition and agglomeration effects

Hensher

2016

Journal of Transport Geography

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“…Para ello, articulan estrategias, de tal forma que en un solo viaje se sumen varios propósitos (trip-chaining, Primerano et al, 2008) o bien disminuyen los tiempos de traslado (Figueroa & Cortés, 2013), aumentando la velocidad, acortando las distancias del trayecto o modificando los destinos. Pero por otro lado, esta ecuación de costos también se realiza en los modos de transporte que utilizan las mujeres, tendiendo a hacer el trade-off entre costo del modo versus tiempo de viaje, acceso y espera.…”

Section: Movilidad Femenina Vulnerableunclassified

Movilidad femenina en Santiago de Chile: reproducción de inequidades en la metrópolis, el barrio y el espacio público

Figueroa

Waintrub

2015

urbe, Rev. Bras. Gest. Urbana

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La construcción social que asocia a las mujeres con la mantención y cuidado del hogar las muestra como un grupo con baja disponibilidad de tiempo y con limitadas capacidades de desplazamiento urbano. La limitación se traduce en una movilidad diferenciada, acotada y vulnerable a fenómenos tan diversos como su lugar de residencia y la calidad del espacio público. En el caso de Santiago de Chile, existen diferencias considerables en la movilidad según género, edad y estrato socioeconómico, destacándose una mayor fragilidad en grupos de escasos recursos que habitan en barrios producidos por el Estado durante la segunda mitad del siglo pasado. Mediante indicadores cuantitativos y herramientas cualitativas, el presente texto tiene por propósito caracterizar la movilidad femenina en Santiago en tres escalas: metropolitana, barrial y local. La evidencia muestra que existen disparidades en los todos los niveles. En la escala metropolitana las mujeres de ingresos altos exhiben un elevado número de viajes, mayoritariamente motorizados, mientras que en los grupos de escasos recursos dominan los desplazamientos pedestres. En una escala menor, en los barrios, los traslados peatonales se encuentran fuertemente afectados por factores sociales y ambientales como, por ejemplo, la percepción de seguridad.

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“…A broad range of household characteristics influence the complexity of trip chains including age, income, gender. Like household characteristics, travel patterns such as origin, destination, purpose, characteristics of transportation system and the number of vehicles per household also influence trip chain behavior [7]- [9]. This will be discussed in more details in the next subsection.…”

Section: Socioeconomic Characteristics and Travel Patternsmentioning

confidence: 99%

Study of Work-Travel Related Behavior Using Principal Component Analysis

Pitombo¹,

Gomes²

2014

OJS

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The main objective of this study is to analyze work travel-related behavior through a set of variables relative to socio-economic class, urban environment and travel characteristics. The Principal Component Analysis was applied in a sample consisting of workers of the São Paulo Metropolitan Area, based on the origin-destination home interview survey, carried out in 1997, in order to: 1) examine the interdependence between travel patterns and a set of socioeconomic and urban environment variables; 2) determine if the original database can be synthetized on components. The results enabled to observe relations between the individual's socio-economic class and car usage, characteristics of urban environment and destination choices, as well as age and non-motorized travel mode choice. It is then concluded that the database can be adequately summarized in three components for subsequent analysis: 1) urban environment; 2) socio-economic class; and 3) family structure.

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Defining and understanding trip chaining behaviour

Abstract: Travel behaviour, Trip chain, Travel survey, Activity analysis,

Cited by 165 publications

References 17 publications

A workplace choice model accounting for spatial competition and agglomeration effects

A workplace choice model accounting for spatial competition and agglomeration effects

Movilidad femenina en Santiago de Chile: reproducción de inequidades en la metrópolis, el barrio y el espacio público

Study of Work-Travel Related Behavior Using Principal Component Analysis

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