DOIAbstract
Distance functions, l p and block norms, expected distances, 90C99, 90D99, 90D99,
Distance functions, l p and block norms, expected distances, 90C99, 90D99, 90D99,
In analysis, a distance function (also called a metric) on a set of points S is a function d:SxS->R ...
This article develops a rapid response ridership forecast model, based on the combined use of Geogr...
In 2011, for the first time, Census in India reported travel distance and mode of travel for the wor...
Some management science models require estimates of distances between points in a road network based...
Distance related information that has been collected from the travel surveys requires an in-depth an...
Abstract: Distance predicting functions may be used in a variety of applications for estimating trav...
This article investigates the selection of a distance measure in location modeling. While in the emp...
This paper focuses on identifying important factors that determine activity-based travel distance in...
Distance sampling is one of the most commonly used methods for estimating density and abundance. Con...
Logistic estimation of the marginal effects at the mean of PBS users’ walking distance after 100 m.<...
Long-distance travel, respectively interurban travel, makes up a considerable share in transport per...
AbstractTwo metrics, based respectively on k-OPT and 2-OPT, for measuring the distance between trave...
We consider the method of distance sampling described in Buckland, Anderson, Burnham and Laake in 19...
This paper presents an econometric analysis that compares the performance of different measures of d...
In this study, the geographically weighted regression (GWR) model is adapted to benefit from a broad...
In analysis, a distance function (also called a metric) on a set of points S is a function d:SxS->R ...
This article develops a rapid response ridership forecast model, based on the combined use of Geogr...
In 2011, for the first time, Census in India reported travel distance and mode of travel for the wor...
Some management science models require estimates of distances between points in a road network based...
Distance related information that has been collected from the travel surveys requires an in-depth an...
Abstract: Distance predicting functions may be used in a variety of applications for estimating trav...
This article investigates the selection of a distance measure in location modeling. While in the emp...
This paper focuses on identifying important factors that determine activity-based travel distance in...
Distance sampling is one of the most commonly used methods for estimating density and abundance. Con...
Logistic estimation of the marginal effects at the mean of PBS users’ walking distance after 100 m.<...
Long-distance travel, respectively interurban travel, makes up a considerable share in transport per...
AbstractTwo metrics, based respectively on k-OPT and 2-OPT, for measuring the distance between trave...
We consider the method of distance sampling described in Buckland, Anderson, Burnham and Laake in 19...
This paper presents an econometric analysis that compares the performance of different measures of d...
In this study, the geographically weighted regression (GWR) model is adapted to benefit from a broad...
In analysis, a distance function (also called a metric) on a set of points S is a function d:SxS->R ...
This article develops a rapid response ridership forecast model, based on the combined use of Geogr...
In 2011, for the first time, Census in India reported travel distance and mode of travel for the wor...
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