The figure below shows (as red, green, and purple colored points around the BikeShare Zone) potential locations for new BikeShare Hubs based on an intersection between a 1500 foot buffer of BikeShare Hub locations (shown in yellow below) and existing sidewalks (as of Fall 2019). One way to choose which of these potential locations are chosen would be a network ‘location-allocation’ type of analysis, in which the ‘facilities’ are the potential new BikeShare Hub locations, and these are selected based on the ‘demand’ in the network service area around each point. The ‘demand’ is input into the network analysis as a point layer, which could be derived from polygon centroids, location addresses, or other sources. What data would be the most appropriate to represent demand points for this analysis? Comment on the data that would be most useful to serve as the ‘demand’ for the location-allocation analysis to select new bikeshare hub locations. Be specific about the thematic content of the data (such as the location and size of day care centers, not just 'day care centers') the data source (for example, the Decennial Census or the American community survey, county records, etc.), the spatial scale or 'enumeration unit' of the data, the temporal currency of the data, and how that data is transformed into points.

Applications and Investigations in Earth Science (9th Edition)

9th Edition

ISBN:9780134746241

Author:Edward J. Tarbuck, Frederick K. Lutgens, Dennis G. Tasa

Publisher:Edward J. Tarbuck, Frederick K. Lutgens, Dennis G. Tasa

Chapter1: The Study Of Minerals

Section: Chapter Questions

Problem 1LR

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The figure below shows (as red, green, and purple colored points around the BikeShare Zone) potential locations for new BikeShare Hubs based on an intersection between a 1500 foot buffer of BikeShare Hub locations (shown in yellow below) and existing sidewalks (as of Fall 2019).

One way to choose which of these potential locations are chosen would be a network ‘location-allocation’ type of analysis, in which the ‘facilities’ are the potential new BikeShare Hub locations, and these are selected based on the ‘demand’ in the network service area around each point. The ‘demand’ is input into the network analysis as a point layer, which could be derived from polygon centroids, location addresses, or other sources. What data would be the most appropriate to represent demand points for this analysis?

Comment on the data that would be most useful to serve as the ‘demand’ for the location-allocation analysis to select new bikeshare hub locations. Be specific about the thematic content of the data (such as the location and size of day care centers, not just 'day care centers')
the data source (for example, the Decennial Census or the American community survey, county records, etc.),
the spatial scale or 'enumeration unit' of the data,
the temporal currency of the data, and
how that data is transformed into points.