Spatial Development Patterns and Public Transport: The Application of an Analytical Model in the Netherlands

Bertolini, Luca

doi:10.1080/02697459915724

Cited by 360 publications

(310 citation statements)

References 10 publications

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“…Therefore, we would recommend reducing or eliminating free parking around campuses, as long as these measures are accompanied by an increase in multimodal accessibility conditions and mixed-use development, allowing walking to be an option. In other words, one could see the campus as a special case of a Transit-oriented Development policy, in which, following Bertolini's node-place model (Bertolini, 1996(Bertolini, , 1999Vale, 2015), there is a significant amount of place-index that should properly be accompanied by a node-index.…”

Section: Resultsmentioning

confidence: 99%

Different destination, different commuting pattern? Analyzing the influence of the campus location on commuting

Vale

Pereira

Viana

2018

JTLU

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Abstract:There is a vast literature on the relationship between built environment and travel, emphasizing the importance of built environment as a determinant of travel. However, the majority of studies focuses on the characteristics of origins and neglects the influence that the destination might have on travel, despite the already demonstrated importance of destinations to explain travel. In this paper, we test the relationship between residential and workplace built environment and the commuting pattern of staff and students of the University of Lisbon, a multi-campus university. Data was obtained through a dedicated travel survey, containing 1474 georeferenced individuals. Chi-square analyses were developed to analyze differences between staff and students and between different campuses. A logistic regression model was developed to explain car commuting, controlling for socio-demographic data. Two different models were developed for students and staff.Our results show the built environment and associated multimodal accessibility of the campuses are important explanatory variables of commuting. Free parking at the campus is crucial for car commuting, especially for students. These results emphasize the importance of measuring destinations as explanatory variables and promoting good urban integration of the campus in the city, increasing its multimodal accessibility.

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Section: Resultsmentioning

confidence: 99%

Different destination, different commuting pattern? Analyzing the influence of the campus location on commuting

Vale

Pereira

Viana

2018

JTLU

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“…En consonancia con Bertolini (1999), se cuantifican dos aspectos sintéticos de una estación:  Función de nodo: se corresponde a la accesibilidad del nodo y con el potencial que presenta para la interacción humana física, es decir, cuanta más gente pueda llegar, más interacción será posible. En el presente modelo se dio más importancia a la movilidad urbana y metropolitana frente a la interurbana.…”

Section: Fig 2 -Utilización Del Tranvía En Función De La Distancia Eunclassified

Implementación Del Modelo Transit-Oriented Development (T.O.D.) en La Ciudad De Alicante

Herráiz

Galiano

Fernández-Aracil

et al. 2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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RESUMENCon el objetivo de combatir los efectos negativos causados por los desarrollos urbanos dispersos o en baja densidad, así como los derivados de la excesiva utilización del vehículo privado para los desplazamientos diarios en la ciudad de Alicante, en el presente artículo se describe un ejemplo de aplicación práctica de implantación del modelo Transit-Oriented Development (TOD) desde una perspectiva integral. Para ello, se considera la fusión de diversos aspectos metodológicos, que resultan complementarios durante la elaboración del estudio y se exponen brevemente en las siguientes líneas.En primer lugar, mediante el análisis de resultados del estudio de movilidad, efectuado previamente, a propósito de este estudio, es posible averiguar el área de influencia de las paradas de la línea 2 del TRAM (sistema de tranvitrén existente en Alicante) comprendidas en el municipio de Alicante, ámbito al cual se ciñe este proceso de implementación de TOD. En segundo lugar, la recopilación de diferentes variables de bases de datos específicas permite plasmar matemática y gráficamente el modelo Node-Place, mediante el cual es posible caracterizar el entorno de las citadas paradas de TRAM, así como clasificarlas atendiendo al cálculo de dos tipos de indicadores: de nodo, relativos a accesibilidad y a los medios de transporte presentes en el área de influencia, y de lugar, relativos a la diversidad e intensidad de los usos del suelo cercanos a cada estación.Por último, se presentan las propuestas de actuación que servirían para materializar el modelo TOD en la ciudad en una estación en concreto: aquella que demuestra tener más potencialidad para ello tras analizar el modelo Node-Place. Las medidas de desarrollo urbanístico que promueve el modelo TOD se focalizan en: potenciar el uso del transporte público, densidades de viviendas medias y altas, mezcla de usos urbanos y calles paseables.

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“…The debate has 'crystallized' towards 'decentralised concentration'. This reflects the reality that both decentralisation and concentration processes are at work in the city (Bertolini, 1999), some business and residences are decentralising, while others remain in centres of Australian cities. The most widely agreed solution for sustainable transport outcomes in cities appears to be one of multiple nodes of concentrated activity, a transition from a 'Uniplex City', with one central core of activities surrounded by suburbs, to a 'Multiplex City', with several centres connected both physically and by telecommunications (Srinivasan, 2002: Sorenson, 2001Lloyd Jones et al, 2001;Filion, 2001;Healey, 2000;Newton, 2000;Frey, 1999;Brotchie, 1992;Newman, 1992Newman, , 1996Van der Valk and Faludi, 1992;Kumar, 1990;Van Til, 1979).…”

Section: The Influence Of Urban Form On Travel Patternsmentioning

confidence: 99%

Network City: Retrofitting the Perth Metropolitan Region to Facilitate Sustainable Travel

Curtis

2006

Urban Policy and Research

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Abstract'Network City', the latest 25 year planning strategy for metropolitan Perth, Western Australia, is designed to realise the integration of land use and transport networks within established and new areas. This paper examines the influence of urban form on travel patterns and the case for sustainable travel outcomes in order to set in context the 'Network City' concept. The concept is described, and then the paper focuses on the operational detail needed to progress towards fuller integration between the transport network and the city it serves. This includes analysis of urban structure in the context of the factors that influence efficient use of public transport: including residential density, intensity of activity, and the hierarchy of activity centres. The implications for road planning are discussed where land use-transport integration is the core objective rather than simply traffic efficiency. If sustainable travel is to be facilitated there is a need to change both the operation of public transport and the urban structure and these changes are mutually supportive.

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Spatial Development Patterns and Public Transport: The Application of an Analytical Model in the Netherlands

Cited by 360 publications

References 10 publications

Different destination, different commuting pattern? Analyzing the influence of the campus location on commuting

Different destination, different commuting pattern? Analyzing the influence of the campus location on commuting

Implementación Del Modelo Transit-Oriented Development (T.O.D.) en La Ciudad De Alicante

Network City: Retrofitting the Perth Metropolitan Region to Facilitate Sustainable Travel

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