The article models how spatial factors influence people's choice of travel mode. By creating a synthetic spatially correlated data set, the researchers found that including spatial variables in the model increased prediction accuracy by 15%. They used geostatistical methods to analyze the data and proposed a simple way to simulate spatially correlated databases. This study provides a new method to understand how location affects travel decisions and suggests ways to improve travel mode choice models.