Occurence, frequency, and duration of commuters' work-to-home departure delay

Mannering, Fred; Hamed, Mohammad M.

doi:10.1016/0191-2615(90)90022-q

Cited by 70 publications

(23 citation statements)

References 6 publications

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“…Mannering and Hamed (1990) investigated workers' response to traffic congestion at the usual time of departure from work, and found that a substantial fraction of the workers delayed their departure by continuing to work longer or doing some other activities, such as shopping.…”

Section: The Value Of Commuting Travel Timementioning

confidence: 99%

Living in Two Worlds: A Review of Home‐to‐Work Decisions

Rouwendal

Nijkamp

2004

Growth and Change

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This paper discusses various aspects of the economic analysis of commuting behavior. It starts with a review of two difficulties associated with urban economics models: the empirically falsified prediction of the relation between commuting time and income, and the presence of substantial excess commuting. Notwithstanding these anomalies, research that focuses directly on the value of travel time provides evidence that there is substantial resistance against commuting among large groups of workers. However, commuting costs are just one among many other explanatory variables for actual commuting behavior, and commuting itself has become much less onerous over time. This suggests that commuting costs play a much more limited role than has been assumed in the past. On the other hand, empirical evidence suggests that space is more important than one would be inclined to think on the basis of the considerations just given. These empirical regularities suggest that other space-related aspects of the functioning of urban labor and housing markets are more important than was previously thought. Copyright 2004 Gatton College of Business and Economics, University of Kentucky..

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Section: The Value Of Commuting Travel Timementioning

confidence: 99%

Living in Two Worlds: A Review of Home‐to‐Work Decisions

Rouwendal

Nijkamp

2004

Growth and Change

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“…Such a continuous-time representation is appealing because it a) does not require the rather ad hoc partitioning of the day into time intervals, and b) provides departure time of trips at a fine temporal resolution rather than in aggregate (18) and Bhat (19) examine non-work trip departure time for workers after they arrive home from work at the evening, and Mannering and Hamed (20) study the length of time commuters delay their departure from work in the late afternoon to avoid peak period congestion. Within such time periods of the day, it may not be very unreasonable to assume that the effect of socio-demographic and employment characteristics do not change over time so that the familiar proportional hazard model (which assumes that the covariates change the baseline hazard by a constant factor that is independent of duration) may be applied.…”

Section: Model Structurementioning

confidence: 99%

On Modeling Departure-Time Choice for Home-Based Social/Recreational and Shopping Trips

Steed

Bhat

2000

Transportation Research Record

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The existing literature on departure time choice has primarily focused on work trips.In this paper, we examine departure time choice for non-work trips, which constitute an increasingly large proportion of urban trips. Discrete choice models are estimated for home-based social/recreational and home-based shopping trips using the 1996 activity survey data collected in the Dallas-Fort Worth metropolitan area. The effects of individual and household socio-demographics, employment attributes, and trip characteristics on departure time choice are presented and discussed. The results indicate that departure time choice for social/recreational trips and shopping trips are determined for the most part by individual/household socio-demographics and employment characteristics, and to a lesser extent by trip level-of-service characteristics. This suggests that departure time for social/recreational and shopping trips are not as flexible as one might expect and are confined to certain times of day because of overall scheduling constraints. The paper concludes by identifying future methodological and empirical extensions of the current research.

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“…Our demand model uses Small's specification applied to expected rather than known values of the variables. Cosslett (1977), Hendrickson and Plank (1984) and Mannering and Hamed (1990) provide additional empirical measurements, the latter using time periods that are larger than five 4 minutes. Mannering and Hamed's study is unique in focusing on the trip from work to home rather than the opposite.…”

Section: Scheduling Choicementioning

confidence: 99%

Simulating travel reliability

Noland

Small

Koskenoja

et al. 1998

Regional Science and Urban Economics

129

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We present a simulation model designed to determine the impact on congestion of policies for dealing with travel time uncertainty. The model combines a supply side model of congestion delay with a discrete choice econometric demand model that predicts scheduling choices for morning commute trips. The supply model describes congestion technology and exogenously specifies the probability, severity, and duration of non-recurrent events. From these, given traffic volumes, a distribution of travel times is generated, from which a mean, a standard deviation, and a probability of arriving late are calculated. The demand model uses these outputs from the supply model as independent variables and choices are forecast using sample enumeration and a synthetic sample of work start times and free flow travel times. The process is iterated until a stable congestion pattern is achieved. We report on the components of expected cost and the average travel delay for selected simulations.

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Occurence, frequency, and duration of commuters' work-to-home departure delay

Cited by 70 publications

References 6 publications

Living in Two Worlds: A Review of Home‐to‐Work Decisions

Living in Two Worlds: A Review of Home‐to‐Work Decisions

On Modeling Departure-Time Choice for Home-Based Social/Recreational and Shopping Trips

Simulating travel reliability

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