Spatial Distribution of Mobiles in Cellular Communication Network
We present a simulation model to generate the spatial distribution of mobiles in cellular communication network. Three types of spatial distributions are considered; biased, random, and ratio-based distributions. This study also points out and corrects the critical errors performed by Das and Morgera(1997) in getting random location of mobiles. By applying a simple path loss model, the effects of our correction on the signal-to-interference(SIR) ratio are discussed. The numerical results indicate that the variation of SIR in the Das's biased distribution is larger than that of other distributions. As compared with the random distribution, the average SIR error of the biased distribution is 91.1%.
A disaggregate specification for job search location choice is developed based on a binary logit structure. The proposed model includes a set of economic and a set of transportation level-of-service variables and can be used for implementing transportation and economic policies to improve service-area economic development. Transportation and Socioeconomic data from four Minnesota towns-Cloquet, LeSueur, Austin, and Albert Lea--are used for model testing and validation. The proposed specification predicts job search destination choice correctly up to 77 percent. Despite substantial differences across test town pairs, parameter statistical significance generally increases with sample size and model predictive power is not strongly influenced by location of application. Travel conditions for the period of expected employment are found to play a role in determining location choice. For all communities studied, expected length of employment is the strongest determinant of choice.