Road supply and traffic in California urban areas

Hansen, Mark; Huang, Yué

doi:10.1016/s0965-8564(96)00019-5

Cited by 115 publications

(109 citation statements)

References 3 publications

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“…This work is similar to the work of Hansen and Huang (1997) who used California data to statistically estimate the impact of new lane-miles on VMT. Hansen and Huang (1997) found results that suggest elasticities of VMT with respect to lane-miles of up to 0.9 in the long run. The SACTRA (1994) study suggested elasticities of up to 1.0.…”

Section: Introductionmentioning

confidence: 70%

Relationships between highway capacity and induced vehicle travel

Noland

2001

Transportation Research Part A: Policy and Practice

152

123

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Section: Introductionmentioning

confidence: 70%

Relationships between highway capacity and induced vehicle travel

Noland

2001

Transportation Research Part A: Policy and Practice

152

123

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“…-Noland [5] states that the increase in the practical capacity of 50% affects the appearance of the induced traffic within the first 5 years, and 80% increase of the practical capacity affects the appearance of the induced traffic in the long run, with elasticity greater in urban than in rural areas. -Hansen and Huang [6] note that within five years, the induced traffic use 60 to 70% of the increased traffic on the state roads, and about 90% of municipal roads in California. -The leading UK transport economists (Sacatra, 1994, [7]) estimates the elasticity coefficients of induced traffic compared to the savings in travel time as follows: -short-term = 0.5 -long-term = 1 -Coodwin [8], adopts the elasticity coefficients with respect to savings in travel time: -for urban areas = 0.27 short-term and 0.57 long-term -for rural areas = 0.67 short-term and 1.33 -long term.…”

Section: Determination Of the Value Of Elasticity Coefficient (E)mentioning

confidence: 99%

Induced Traffic and its Treatment in the Evaluation of Motorway Projects

Kuzovic¹,

Topolnik²,

Glavić³

2012

PROMET

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“…Goodwin, 1996;Noland, 2001;Hansen and Huang, 1997;TRB, 1995) has pointed out, increased highway capacities can stimulate auto travel, resulting in the increase of travel demand. Interestingly, using 1973-1990 time series data on VMT and lane miles for state highways in California, Hansen and Huang (1997) found that VMT is strongly related to the second-or fourth-order lagged variables of lane miles at the county and metropolitan levels, respectively. This suggests that some lagged effects of lane miles on VMT may be considered in the empirical model.…”

Section: Conceptual Modelmentioning

confidence: 99%

Telecommunications and travel demand and supply: Aggregate structural equation models for the US

Choo

Mokhtarian

2007

Transportation Research Part A: Policy and Practice

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Disaggregate studies of the impacts of telecommunications applications (e.g. telecommuting) on travel have generally found a net substitution effect. However, such studies have all been short-term and small-scale, and there is reason to believe that when more indirect and longer-term effects are accounted for, complementarity is the likely outcome. At least two aggregate studies have focused on the relationships between telecommunications and travel from economic perspectives (consumer and industry). However, both use the monetary value of consumption or transactions rather than actual activity measures (e.g. miles, number of calls), and neither fully explains the direct and indirect causal relationships between the two. The purpose of this study is to develop a conceptual model in a comprehensive framework, considering causal relationships among travel, telecommunications, land use, economic activity, and socio-demographics, and to explore the aggregate relationships between telecommunications and travel, using structural equation modeling of national time series data spanning 1950-2000 in the US. In this paper we focus on number of telephone calls as the measure of telecommunications, and passenger vehicle-miles traveled as the measure of transportation. Future research will investigate additional measures of these two constructs. Our empirical results strongly support the hypothesis that telecommunications and travel are complementary. That is, as telecommunications demand increases, travel demand increases, and vice versa. These results offer a more realistic picture to policy makers and transportation planners than has been available till now, and suggest useful directions for them to develop transportation or telecommunications strategies designed to reduce traffic congestion, air pollution, and energy consumption.

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Road supply and traffic in California urban areas

Cited by 115 publications

References 3 publications

Relationships between highway capacity and induced vehicle travel

Relationships between highway capacity and induced vehicle travel

Induced Traffic and its Treatment in the Evaluation of Motorway Projects

Telecommunications and travel demand and supply: Aggregate structural equation models for the US

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