We study variation of peer effects in rooftop photovoltaic adoption by households. Our investigation employs geocoded data on all potential adopters and on all grid-connected photovoltaic systems set up in Germany through 2010. We construct an individual measure of peer effects for each...

We introduce a new and innovative mathematical approach to designing a counting zones tariff system for public transport service providers that maximizes the total expected revenue (or demand) concerning specific spatial patterns (rings and stripes, for example) of the resulting zones. We assume...

Altering the network of public facilities like schools is likely to affect travel choices, in particular route and mode choice. Traveling to school is not only a major contributor to public transport demand in peak periods, but is in many instances also the trip purpose where young people are...

We study variation of peer effects in rooftop photovoltaic adoption by households. Our investigation employs geocoded data on all potential adopters and on all grid-connected photovoltaic systems set up in Germany through 2010. We construct an individual measure of peer effects for each...

We study variation of peer effects in rooftop photovoltaic adoption by households. Our investigation employs geocoded data on all potential adopters and on all grid-connected photovoltaic systems set up in Germany through 2010. We construct an individual measure of peer effects for each...

We present the constrained assortment optimization problem under the mixed logit model (MXL) with design options and deterministic customer segments. The rationale is to select a subset of products of a given size and decide on the attributes of each product such that a function of market share...

We study spatio-temporal variation of peer effects in rooftop photovoltaics adoption of households. Our investigation employs locational data on potential adopters and a geocoded data set of all grid-connected photovoltaic systems set up in Germany through 2010. The detailed locational data...