An emerging quantitative spatial economics literature models commuting interactions by a gravity equation that is mathematically equivalent to a multinomial logit model. This model is widely viewed as restrictive because of the independence of irrelevant alternatives (IIA) property that links...

This paper proposes a novel methodology for delineating urban areas based on a machine learning algorithm that groups buildings within portions of space of sufficient density. To do so, we use the precise geolocation of all 12 million buildings in Spain. We exploit building heights to create a...

Problem: How to help practitioners, academics, and decision makers use experimental research findings to substantially reduce forecast errors for all types of forecasting problems. Methods: Findings from our review of forecasting experiments were used to identify methods and principles that lead...

An emerging quantitative spatial economics literature models commuting interactions by a gravity equation that is mathematically equivalent to a multinomial logit model. This model is widely viewed as restrictive because of the independence of irrelevant alternatives (IIA) property that links...

This chapter reviews recent literature that considers and explains the tendency for neighborhood and city-level economic status to rise and fall. A central message is that although many locations exhibit extreme persistence in economic status, change in economic status as measured by various...

The issue of transportation is of primary importance in our societies. A large share of green-house gases is generated by the transport sector, and road casualties are one am ong the most common causes of death. In the present work, we study commuter choice between alternative transport modes...

The issue of transportation is of primary importance in our societies. A large share of greenhouse gases is generated by the transport sector, and road casualties are one among the most common causes of death. In the present work, we study commuter choice between alternative transport modes...

Regression models of a dependent variable that take on qualitative values 0 and 1 cannot be interpreted as conventional regression models. The fact that the dependent variable takes on two different values causes some problems in the model. These problems include the fact that the model’s...