Idle thumbs and all
You're the devil!
December 2006 Archives
December 26, 2006
December 27, 2006
15K people per hour, by transport mode
From Vuchic's Transportation for Livable Cities, what does it take to move 15,000 people/hour using different modes of transport:
The remarkable thing is that the 7 lanes of freeway in each direction have zero extra capacity at that bandwidth, while the single track of rail rapid transit has, theoretically, at least another 66% to spare (see whole table).
Carhartt Europe
[Syndicated from del.icio.us/fruminator]
all the fresh gear, and you cant get it here!
Origin and Destination Estimation In New York City with Automated Fare System Data
[Syndicated from CiteULike: fruminator's library]
Transportation Research Record, Vol. 1817 (2002), pp. 183-187.
New York City Transit's automated fare collection system, known as MetroCard, is an entry-only system that records the serial number of the MetroCard and the time and location (subway turnstile or bus number) of each use. A methodology that estimates station-to-station origin and destination (O-D) trip tables by using this MetroCard information is described. The key is to determine the sequence of trips made throughout a day on each MetroCard. This is accomplished by sorting the MetroCard information by serial number and time and then extracting, for each MetroCard, the sequence of the trips and the station used at the origin of each trip. A set of straightforward algorithms is applied to each set of MetroCard trips to infer a destination station for each origin station. The algorithms are based on two primary assumptions. First, a high percentage of riders return to the destination station of their previous trip to begin their next trip. Second, a high percentage of riders end their last trip of the day at the station where they began their first trip of the day. These assumptions were tested by using travel diary information collected by the New York Metropolitan Transportation Council. This diary information confirmed that both assumptions are correct for a high percentage (90%) of subway users. The output was further validated by comparing inferred destination totals to station exit counts by time of day and by estimating peak load point passenger volumes by using a trip assignment model. The major applications of this project are to describe travel patterns for service planning and to create O-D trip tables as input to a trip assignment model. The trip assignment model is used to determine passenger volumes on trains at peak load points and other locations by using a subway network coded with existing or modified service. These passenger volumes are used for service planning and scheduling and to quantify travel patterns. This methodology eliminates the need for periodic systemwide O-D surveys that are costly and time-consuming. The new method requires no surveying and eliminates sources of response bias, such as low response rates for certain demographic groups. The MetroCard market share is currently 80% and increasing. MetroCard data are available continuously 365 days a year, which allows O-D data estimation to be repeated for multiple days to improve accuracy or to account for seasonality.
New York City Transit's automated fare collection system, known as MetroCard, is an entry-only system that records the serial number of the MetroCard and the time and location (subway turnstile or bus number) of each use. A methodology that estimates station-to-station origin and destination (O-D) trip tables by using this MetroCard information is described. The key is to determine the sequence of trips made throughout a day on each MetroCard. This is accomplished by sorting the MetroCard information by serial number and time and then extracting, for each MetroCard, the sequence of the trips and the station used at the origin of each trip. A set of straightforward algorithms is applied to each set of MetroCard trips to infer a destination station for each origin station. The algorithms are based on two primary assumptions. First, a high percentage of riders return to the destination station of their previous trip to begin their next trip. Second, a high percentage of riders end their last trip of the day at the station where they began their first trip of the day. These assumptions were tested by using travel diary information collected by the New York Metropolitan Transportation Council. This diary information confirmed that both assumptions are correct for a high percentage (90%) of subway users. The output was further validated by comparing inferred destination totals to station exit counts by time of day and by estimating peak load point passenger volumes by using a trip assignment model. The major applications of this project are to describe travel patterns for service planning and to create O-D trip tables as input to a trip assignment model. The trip assignment model is used to determine passenger volumes on trains at peak load points and other locations by using a subway network coded with existing or modified service. These passenger volumes are used for service planning and scheduling and to quantify travel patterns. This methodology eliminates the need for periodic systemwide O-D surveys that are costly and time-consuming. The new method requires no surveying and eliminates sources of response bias, such as low response rates for certain demographic groups. The MetroCard market share is currently 80% and increasing. MetroCard data are available continuously 365 days a year, which allows O-D data estimation to be repeated for multiple days to improve accuracy or to account for seasonality.
The Transit Metropolis: A Global Inquiry
[Syndicated from CiteULike: fruminator's library]
Around the world, mass transit is struggling to compete with the private automobile, and in many places, its market share is rapidly eroding. Yet a number of metropolitan areas have in recent decades managed to mount cost-effective and resource-conserving transit services that provide respectable alternatives to car travel. What sets these places apart?In this book, noted transportation expert Robert Cervero provides an on-the-ground look at more than a dozen mass transit success stories, introducing the concept of the "transit metropolis" -- a region where a workable fit exists between transit services and urban form. The author has spent more than three years studying cities around the world, and he makes a compelling case that metropolitan areas of any size and with any growth pattern -- from highly compact to widely dispersed -- can develop successful mass transit systems.Following an introductory chapter that frames his argument and outlines the main issues, Cervero describes and examines five different types of transit metropolises, with twelve in-depth case studies of cities that represent each type. He considers the key lessons of the case studies and debunks widely held myths about transit and the city. In addition, he reviews the efforts underway in five North American cities to mount transit programs and discusses the factors working for and against their success. Cities profiled include Stockholm; Singapore; Tokyo; Ottawa; Zurich; Melbourne; Mexico City; Curitiba, Brazil; Portland, Oregon; and Vancouver, British Columbia.The Transit Metropolis provides practical lessons on how North American cities can manage sprawl and haphazard highway development by creating successful mass transit systems. While many books discuss the need for a sustainable transportation system, few are able to present examples of successful systems and provide the methods and tools needed to create such a system. This book is a unique and invaluable resource for transportation planners and professionals, urban planners and designers, policymakers and students of planning and urban design.
An Enhanced Framework for Link and Mode Identifications for GIS-based Personal Travel Surveys
[Syndicated from del.icio.us/fruminator]
Auto detecting activities and travel modes from long-term GPS traces. next: apply to cellphone location data!!
YouTube - WNYC-TV Video Music Box opening
[Syndicated from del.icio.us/fruminator]
hot damn, last time i saw this i was in high school
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About December 2006
This page contains all entries posted to Frumination in December 2006. They are listed from oldest to newest.
January 2007 is the next archive.
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