Estimating Service-Related Traffic Demand from Trip Chain Data

A Contingent Trip Model for Estimating Rail-trail Demand

The authors develop a contingent trip model to estimate the recreation demand for and value of a potential rail-trail site in north-east Georgia. The contingent trip model is an alternative to travel cost modelling useful for ex ante evaluation of proposed recreation resources or management alternatives. The authors estimate the empirical demand for trips using a negative binomial regression sp...

Estimating App Demand from Publicly Available Data

With the abundance in variety of products available online, many online retailers provide sales rankings for available products to make it easier for the consumer to find popular products. Successful implementation of product rankings on online platform was done a decade ago by Amazon and more recently by Apple’s App store. However, none of these market providers provide actual do...

Estimating Consumer Demand From High-Frequency Data

Price discrimination offers sellers the possibility of increasing revenue by capturing a market’s consumer surplus: arising from the low price elasticity segment of customers that would have been prepared to pay more than the current market price. First degree price discrimination requires a seller to know the maximum (reserve) price that each consumer is willing to pay. Discouragingly, this in...

Demand Pattern Analysis of Taxi Trip Data for Anomalies

Estimating Primary Demand for Substitutable Products from Sales Transaction Data

We propose a method for estimating substitute and lost demand when only sales and product availability data are observable, not all products are displayed in all periods (e.g., due to stockouts or availability controls), and the seller knows its aggregate market share. The model combines a multinomial logit (MNL) choice model with a nonhomogeneous Poisson model of arrivals over multiple periods...