To promote the use of bicycle transportation mode in times of increasing urban traffic congestion, Broward County Metropolitan Planning Organization funded the development of a Web-based trip planner for cyclists. This presentation demonstrates the integration of the ArcGIS Server 9.3 environment with the ArcGIS JavaScript Extension for Google Maps API and the Google Local Search Control for Maps API. This allows the use of Google mashup GIS functionality, i.e., Google local search for selection of trip start, trip destination, and intermediate waypoints, and the integration of Google Maps base layers. The ArcGIS Network Analyst extension is used for the route search, where algorithms for fastest, safest, simplest, most scenic, and shortest routes are imbedded. This presentation also describes how attributes of the underlying network sources have been combined to facilitate the search for optimized routes.
[1]
Hartwig H. Hochmair,et al.
Assessment of Latent Bicycle Demand in Street Networks
,
2009
.
[2]
Hartwig Hochmair.
Decision support for bicycle route planning in urban environments
,
2004
.
[3]
Kevin J. Krizek,et al.
Using GPS Data to Assess Bicycle Commuter Route Choice
,
2008
.
[4]
Lisa Aultman-Hall,et al.
Analysis of Bicycle Commuter Routes Using Geographic Information Systems: Implications for Bicycle Planning
,
1997
.
[5]
Hartwig H. Hochmair,et al.
Towards a Classification of Route Selection Criteria for Route Planning Tools
,
2004,
SDH.