Disaggregated Mode Choice Models of Downtown Trips in the Chicago Region PDF Download
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Author: Martha F. Wigner
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 56
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Book Description
Author: Martha F. Wigner
Publisher:
ISBN:
Category : Local transit
Languages : en
Pages : 56
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Book Description
Author: Christopher V. Forinash
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 198
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Book Description
Author: Bruce D. Spear
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 172
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Book Description
Author: International Center for Transportation Studies
Publisher: North Holland
ISBN:
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
Author:
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 628
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Book Description
Author: Fred A. Reid
Publisher:
ISBN:
Category : Travel time (Traffic engineering)
Languages : en
Pages : 60
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Book Description
Author: Roads and Transportation Association of Canada
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 100
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Book Description
Author: M. Balachandran
Publisher:
ISBN:
Category : Labor and laboring classes
Languages : en
Pages : 544
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Book Description
Author: Robert J. Meyer
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 64
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Book Description
Author: Joshua A. Auld
Publisher:
ISBN:
Category : Choice of transportation
Languages : en
Pages : 14
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Book Description
Will County is one of the fastest growing regions in Illinois. The growth in this county will greatly increase the number of home to work trips to the central business district of Chicago, further straining an already congested transportation system. An important part of planning for this increase in traffic is having an accurate mode-choice model. Mode-choice models are important for policy makers to determine where extra resources will be needed and provide policies that maximize the level of service for users. In this study, a binomial logit mode choice model was fit to the CATS 1990 household survey data for work trips from to the Chicago CBD. The model was created using key policy variables such as travel time and cost, transit access time, and socioeconomic variables such as gender, age and income level. The model was used to estimate the percentage of trips choosing either automobile mode or transit mode. The model fit the survey data well, with an accuracy of 85% correct predictions. The model was then used to determine mode-splits for towns along the Metra RockIsland Express line. This analysis showed that commuters in the areas of Will County with the fastest growth, from Tinley Park to Joliet, use transit at a very high rate. Less than 10% of commuters traveling to the CBD in the area choose to drive. As the population increases in this area, it is important for planners to account for these tendencies.
