Holyoak Taylor 2006a - Revision history

Scipediacontent at 06:46, 2 February 2021

2021-02-02T06:46:04Z

Scipediacontent: Scipediacontent moved page Draft Content 676216432 to Holyoak Taylor 2006a

2021-01-25T09:55:02Z

Scipediacontent moved page Draft Content 676216432 to Holyoak Taylor 2006a

Scipediacontent: Created page with " == Abstract == As the supply of transport infrastructure struggles to keep pace with ever increasing transport demands from the community, peak period traffic congestion is..."

2021-01-25T09:54:59Z

Created page with " == Abstract == As the supply of transport infrastructure struggles to keep pace with ever increasing transport demands from the community, peak period traffic congestion is..."

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== Abstract ==

As the supply of transport infrastructure struggles to keep pace with ever increasing transport demands from the community, peak period traffic congestion is a problem faced by many urban areas around the world. As Australiaâs largest capital city, Sydney is no exception. With a population of over 4 million generating approximately 15.5 million trips each weekday, much of which occurs during morning and afternoon peak periods. It is for this reason that planners often focus on peak time periods for network provisions and operational management. This can lead to an inefficient allocation of resources, which could be unsustainable for future transport network operations. Peak spreading may be seen as having two broad dimensions. The first may be described as âpassiveâ peak spreading, which is a natural increase in the duration of a peak period as travel demand tests the capacity of a facility so that the levels of peak travel activity persist for a longer period. The second dimension is âactiveâ peak spreading, in which individual travelers deliberately change their travel behavior to avoid peak periods, or transport policies are enacted to encourage people to travel away from the peak periods. The concept of peak spreading thus introduces strategies and management techniques to manage the peak traffic demand as it allows for the spreading of peak period traffic flow profiles in congested areas. It is therefore important to represent the effects of such strategies in a modeling environment for evaluation. After a critical analysis of current international practice for representing trip timing behavior in current travel demand models, this paper provides a summary of observed trip timing behavior in Australian capital cities. It also focuses on the requirements for a travel time model with abilities in the representation of peak spreading strategies suggestions for future research directions.

== Original document ==

The different versions of the original document can be found in:

* [http://www.witpress.com/Secure/elibrary/papers/UT06/UT06021FU1.pdf http://www.witpress.com/Secure/elibrary/papers/UT06/UT06021FU1.pdf]

* [https://hdl.handle.net/1959.8/60586 https://hdl.handle.net/1959.8/60586]

* [http://www.witpress.com/Secure/elibrary/papers/UT06/UT06021FU1.pdf http://www.witpress.com/Secure/elibrary/papers/UT06/UT06021FU1.pdf],
: [http://dx.doi.org/10.2495/ut060211 http://dx.doi.org/10.2495/ut060211]

* [https://www.witpress.com/Secure/elibrary/papers/UT06/UT06021FU1.pdf https://www.witpress.com/Secure/elibrary/papers/UT06/UT06021FU1.pdf],
: [https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/89/16763 https://www.witpress.com/elibrary/wit-transactions-on-the-built-environment/89/16763],
: [https://trid.trb.org/view/793318 https://trid.trb.org/view/793318],
: [https://academic.microsoft.com/#/detail/2031208704 https://academic.microsoft.com/#/detail/2031208704]

← Older revision		Revision as of 06:46, 2 February 2021
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	== Abstract ==		== Abstract ==

−	As the supply of transport infrastructure struggles to keep pace with ever increasing transport demands from the community, peak period traffic congestion is a problem faced by many urban areas around the world. As ~~Australiaâs~~ largest capital city, Sydney is no exception. With a population of over 4 million generating approximately 15.5 million trips each weekday, much of which occurs during morning and afternoon peak periods. It is for this reason that planners often focus on peak time periods for network provisions and operational management. This can lead to an inefficient allocation of resources, which could be unsustainable for future transport network operations. Peak spreading may be seen as having two broad dimensions. The first may be described as ~~âpassiveâ~~ peak spreading, which is a natural increase in the duration of a peak period as travel demand tests the capacity of a facility so that the levels of peak travel activity persist for a longer period. The second dimension is ~~âactiveâ~~ peak spreading, in which individual travelers deliberately change their travel behavior to avoid peak periods, or transport policies are enacted to encourage people to travel away from the peak periods. The concept of peak spreading thus introduces strategies and management techniques to manage the peak traffic demand as it allows for the spreading of peak period traffic flow profiles in congested areas. It is therefore important to represent the effects of such strategies in a modeling environment for evaluation. After a critical analysis of current international practice for representing trip timing behavior in current travel demand models, this paper provides a summary of observed trip timing behavior in Australian capital cities. It also focuses on the requirements for a travel time model with abilities in the representation of peak spreading strategies suggestions for future research directions.	+	the supply of transport infrastructure struggles to keep pace with ever increasing transport demands from the community, peak period traffic congestion is a problem faced by many urban areas around the world. As Australia’s largest capital city, Sydney is no exception. With a population of over 4 million generating approximately 15.5 million trips each weekday, much of which occurs during morning and afternoon peak periods. It is for this reason that planners often focus on peak time periods for network provisions and operational management. This can lead to an inefficient allocation of resources, which could be unsustainable for future transport network operations. Peak spreading may be seen as having two broad dimensions. The first may be described as ‘passive’ peak spreading, which is a natural increase in the duration of a peak period as travel demand tests the capacity of a facility so that the levels of peak travel activity persist for a longer period. The second dimension is ‘active’ peak spreading, in which individual travelers deliberately change their travel behavior to avoid peak periods, or transport policies are enacted to encourage people to travel away from the peak periods. The concept of peak spreading thus introduces strategies and management techniques to manage the peak traffic demand as it allows for the spreading of peak period traffic flow profiles in congested areas. It is therefore important to represent the effects of such strategies in a modeling environment for evaluation. After a critical analysis of current international practice for representing trip timing behavior in current travel demand models, this paper provides a summary of observed trip timing behavior in Australian capital cities. It also focuses on the requirements for a travel time model with abilities in the representation of peak spreading strategies suggestions for future research directions.

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