Impact of telecommuting on spatial and temporal patterns of household travel

Pendyala, Ram M.; Goulias, Konstadinos G.; Kitamura, Ryuichi

doi:10.1007/bf00186566

Cited by 191 publications

(123 citation statements)

References 6 publications

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“…However, it is the total effects, given by equation system (3) and (4) Table 8. The total effects (Table 8) reveal some intriguing interrelationships in time use and trip chaining that expand previous results (Pant and Bullen, 1980, Supernak, et al, 1983, Kitamura, 1984, Pas, 1984, Goulias and Kitamura, 1990, Pendyala and Kitamura, 1991, Levinson and Kumar, 1995. But this type of joint model also reveals some new results.…”

Section: Including Working At Home In An Expanded Modelsupporting

confidence: 84%

A simultaneous model of household activity participation and trip chain generation

Golob

2000

Transportation Research Part B: Methodological

181

103

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A trip generation model has been developed using a time-use perspective, in which trips are generated in conjunction with out-of-home activities, and time spent traveling is another component of overall time use. The model jointly forecasts three sets of endogenous variables -(1) activity participation and (2) travel time (together making up total out-of-home time use), and (3) trip generation --as a function of household characteristics and accessibility indices. It is estimated with data from the Portland, Oregon 1994 Activity and Travel Survey. Results show that the basic model, which has ten endogenous time use and trip generation variables and thirteen exogenous variables, fits well, and all postulated relationships are upheld. Test show that the basic model, which divides activities into work and nonwork, can be extended to a three-way breakdown of subsistence, discretionary and obligatory activities. The model can also capture the effects of in-home work on trip chaining and activity participation. We use the model to explore the effects on time use and trip chaining of GIS-based and zone-based accessibility indices.A simultaneous model of household activity participation and trip chain generation Tom Golob 2 BACKGROUND AND OBJECTIVES

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Section: Including Working At Home In An Expanded Modelsupporting

confidence: 84%

A simultaneous model of household activity participation and trip chain generation

Golob

2000

Transportation Research Part B: Methodological

181

103

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“…However, the limited results that are available do not support the hypothesis that household trips increase with telecommuting. On the contrary, there is some indication that trips for household members decline as well, for potentially a variety of reasons (Hamer et al, 1991;Pendyala et al, 1991).…”

Section: (D) Tt-t 29mentioning

confidence: 99%

Impacts of center-based telecommuting on travel and emissions: Analysis of the Puget Sound Demonstration Project

Henderson

Mokhtarian

1996

Transportation Research Part D: Transport and Environment

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“…As the adoption of telecommuting becomes more widespread, opportunities arise to evaluate telecommuting for its ability to alleviate congestion (Kitamura et al, 1990;Hamer et al, 1991;Pendyala et al, 1991;Mokhtarian et al, 1995) and improve air quality Koenig et al, 1996). The travel and emissions impacts of center-based telecommuting are of particular interest and have been little-studied to date being one small-sample exception).…”

Section: Introductionmentioning

confidence: 99%

The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting

Mokhtarian

Varma

1998

Transportation Research Part D: Transport and Environment

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AbstractÐSeveral travel indicators were compared between telecommuting (TC) days and non-telecommuting days for a sample of 72 center-based telecommuters in California. Distance traveled decreased signi®cantly on TC days, with average reductions of 51 person-miles (58%) and 35 vehicle-miles (53%). When weighted by telecommuting frequency, average reductions of 11.9% in PMT and 11.5% in VMT were found over a ®ve-day work week. Person-trips and vehicle-trips increased slightly (but not signi®cantly) on TC days. This was due to statistically signi®cant increases in commute trips by telecommuters (who more often went home for lunch on their TC days), partly counteracted by decreases in non-commute travel. The drive-alone mode share increased on TC days, both for all trips, and for commute trips in particular. Walking and biking shares also increased modestly on TC days, whereas shares of transit and ridesharing declined. Despite the increase in trip rates, TC-day reductions were found for all pollutants analyzed: 15% for total organic gas emissions, 21% for carbon monoxide, 35% for oxides of nitrogen, and 51% for particulate matter. The reduction in VMT more than compensated for the marginal increase in number of trips (and consequently, cold starts) on telecommuting days. #

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Impact of telecommuting on spatial and temporal patterns of household travel

Cited by 191 publications

References 6 publications

A simultaneous model of household activity participation and trip chain generation

A simultaneous model of household activity participation and trip chain generation

Impacts of center-based telecommuting on travel and emissions: Analysis of the Puget Sound Demonstration Project

The trade-off between trips and distance traveled in analyzing the emissions impacts of center-based telecommuting

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