Pollution by vehicular travels from satellite townships to the city

Mathai, A. M.; Moschopoulos, P. G.

doi:10.1002/(sici)1099-095x(199911/12)10:6<791::aid-env396>3.0.co;2-r

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…The distances between random points within a circle, within a square and rectangle and also the distances between randomly and uniformly distributed points in two separated circles or rectangles are dealt with by many authors. Ghosh [20], Stone [21], Gaboune et al [22], Mathai & Moschopoulos [23], and de Smith [24] consider average distances between a fixed and a random point in a circle or rectangle. More recently, Kim & Van Wee [27] and Olofsson & Andersson [33] proposed calculating the average distance in a circle using probability theory.…”

Section: Modelling Of Transport Distancesmentioning

confidence: 99%

“…He compared network distances in alternative bundling networks, but did not incorporate the distance and time results in cost models. Many authors, as Ghosh [20], Stone [21], Gaboune et al [22], Mathai & Moschopoulos [23], and de Smith [24], examined the distance from a theoretical point of view by proposing different mathematical models to determine the distances between random points in a two dimensional space, as we explain further in Section 2. Reis [25] estimated that the amount of literature concerning mode choice variables is substantial.…”

Section: Introductionmentioning

confidence: 99%

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The impact of distance on mode choice in freight transport

Zgonc

Tekavčič

Jakšič

2019

Eur. Transp. Res. Rev.

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The purpose of this paper is to examine the impact of distance on choosing between intermodal railroad and unimodal road transport and to examine the hypothesis that distance is an important factor influencing the mode choice in freight transport. Methods: In order to make comparisons between the two options, the ideas and elements of the analytical transport system modelling found in the literature are used. The calculation of break-even distances is based on a Monte Carlo simulation that takes randomly generated shipper and consignee locations in two separated market areas, independently of a certain transport corridor, into account. Results: The results confirm the importance of distance for the mode choice and show there is not only one but in fact many break-even distances between the two options. They vary considerably depending on different travel plans, and the transport infrastructure conditions. Conclusions: Despite assumptions inevitable in such general analysis, the results show that intermodal transport can provide a competitive alternative to unimodal road transport, even over relatively very short distances if the drayage costs are not too high. We believe the paper can help improve understanding of competitiveness in the freight transport sector and may also be useful for policy-and other decision-makers to better evaluate the opportunities and competitiveness of intermodal railroad transport.

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Section: Modelling Of Transport Distancesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The impact of distance on mode choice in freight transport

Zgonc

Tekavčič

Jakšič

2019

Eur. Transp. Res. Rev.

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Distance Between Random Points in Two Rectangular Cities

Chu

2006

Communications in Statistics - Simulation and Computation

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The travel distance between two cities of rectangular shape is considered. Two uniformly distributed random points, one from each city, are taken. Their straight path travel distance is then measured. The explicit forms for the probability density function of this distance and its expected value are obtained. Numerical results of calculating the exact expected distance and the estimated distance as well as computer simulation are given for various cases. The integer moments of the distance are also discussed.

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Distance Between Bivariate Beta Random Points in Two Rectangular Cities

Chu

Fotouhi

2009

Communications in Statistics - Simulation and Computation

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In this article, we consider the distance between two independent bivariate beta distributed random points, one from each of the two rectangular cities. The expected distance between these two random points is obtained as an infinite series of the non central moments of the squared distance. These non central moments can be written in terms of the joint moments of the bivariate beta distribution that involve the hypergeometric function 3 F 2 . A computer program is then written for computing the expected distance. Verifications and simulations are also performed. The even and odd moments of the distance are presented as well.

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Pollution by vehicular travels from satellite townships to the city

Cited by 6 publications

References 12 publications

The impact of distance on mode choice in freight transport

The impact of distance on mode choice in freight transport

Distance Between Random Points in Two Rectangular Cities

Distance Between Bivariate Beta Random Points in Two Rectangular Cities

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