Abstract: Methods and systems optimize travel costs both on and off a sequence of one or more networks used to represent travel, communication, or transport of anything within a spatial medium. Such systems and methods can develop a data structure for optimizing travel costs for a region having an embedded network. The data structure includes a grid representation of the region having an array of cells covering the region, an optimal-cost grid dataset containing optimal costs for travel between an initial location in the region and cells in the grid, a hybrid grid-network dataset representing travel costs within the network, within the grid, and between the network and the grid, and back-links among elements of the hybrid grid-network dataset, reflecting optimal travel routes originating at the initial location. Methods and systems also include querying the datasets of the data structure to generate a route with an optimal travel cost from the initial location to a query point.

Abstract: After defining a relevant market area around a selected geographical point, a map is generated using stored geographical map information around a selected geographical point and a geographical area is selected around that point. Multiple bands are formed on the map around the geographical point and market information is gathered from a database for the defined geographical area. The bands are weighted based according to empirical data drawn from within the market area, if available, or from data from a demographically matched location. A net demand model is constructed to perform point studies, comparison studies, area studies, and multi-unit simulations for the selected geographical area.

Abstract: After defining a relevant market area around a selected geographical point, a map is generated using stored geographical map information around a selected geographical point and a geographical area is selected around that point. Multiple bands are formed on the map around the geographical point and market information is gathered from a database for the defined geographical area. The bands are weighted based according to empirical data drawn from within the market area, if available, or from data from a demographically matched location. A net demand model is constructed to perform point studies, comparison studies, area studies, and multi-unit simulations for the selected geographical area.

Abstract: A market analysis system uses travel time to define a relevant market area. A map is generated using stored geographical map information around a selected geographical point or area, and a travel time around the geographical point or area is selected. A trace is formed on the map around the geographical point within the travel time using travel time data, and market information is gathered from a database for the defined geographical area.

Abstract: A market analysis system uses travel time to define a relevant market area. A map is generated using stored geographical map information around a selected geographical point or area, and a travel time around the geographical point or area is selected. A trace is formed on the map around the geographical point within the travel time using travel time data, and market information is gathered from a database for the defined geographical area.

Abstract: After defining a relevant market area around a selected geographical point, a map is generated using stored geographical map information around a selected geographical point and a geographical area is selected around that point. Multiple bands are formed on the map around the geographical point and market information is gathered from a database for the defined geographical area. The bands are weighted based according to empirical data drawn from within the market area, if available, or from data from a demographically matched location. A net demand model is constructed to perform point studies, comparison studies, area studies, and multi-unit simulations for the selected geographical area.

Abstract: A market analysis system uses travel time to define a relevant market area. A map is generated using stored geographical map information around a selected geographical point or area, and a travel time around the geographical point or area is selected. A trace is formed on the map around the geographical point within the travel time using travel time data, and market information is gathered from a database for the defined geographical area.

Abstract: A market analysis system uses travel time to define a relevant market area. A map is generated using stored geographical map information around a selected geographical point or area, and a travel time around the geographical point or area is selected. A trace is formed on the map around the geographical point within the travel time using travel time data, and market information is gathered from a database for the defined geographical area.

Abstract: A market analysis system uses travel time to define a relevant market area. A map is generated using stored geographical map information around a selected geographical point or area, and a travel time around the geographical point or area is selected. A trace is formed on the map around the geographical point within the travel time using travel time data, and market information is gathered from a database for the defined geographical area.