Improved Huff Model for Estimating Urban Rail Transit Station Catchment Areas considering Station Choices

Estimating the user benefit of rail station lifts

The paper looks at three different approaches that have been used to estimate the benefit from passenger lifts at rail stations: mechanistic models of movement, passenger behaviour surveys and observation surveys of the profile of users. Examples of each approach are reviewed in terms of their methodology and the estimated level of user benefit which, for ease of comparison, has been standardis...

Modeling and Simulating Passenger Behavior for a Station Closure in a Rail Transit Network

A station closure is an abnormal operational situation in which the entrances or exits of a rail transit station have to be closed for some time due to an unexpected incident. A novel approach is developed to estimate the impacts of the alternative station closure scenarios on both passenger behavioral choices at the individual level and passenger demand at the disaggregate level in a rail tran...

Efficient Determination of Optimum Base Station Locations in Urban Areas

The Application of Pedestrian Microscopic Simulation Technology in Researching the Influenced Realm around Urban Rail Transit Station

Under the background of urban rail transit’s rapid development, urban rail transit station, as the only connection of urban space and rail transit, undertakes the responsibility of traffic organization and passenger volume distribution. Influenced urban realm around station becomes the focus of the optimization of the sustainable urban development. Pedestrian microscopic simulation method estab...

A blended model for estimating of missing precipitation data (Case study of Tehran - Mehrabad station)

Meteorological stations usually contain some missing data for different reasons.There are several traditional methods for completing data, among them bivariate and multivariate linear and non-linear correlation analysis, double mass curve, ratio and difference methods, moving average and probability density functions are commonly used. In this paper a blended model comprising the bivariate expo...