A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Analyzing how travelers choose scenic routes using route choice models
Highlights We extract a collection of scenic routes from VGI data sources. We compute scenery and route specific attribute values of the extracted routes using visibility and network analysis. We use route choice models to determine how travelers choose scenic routes. Different models explain the effects of attributes in the selection process of a scenic route.
Abstract Finding a scenic route between two locations is a common trip planning task, in particular for tourists and recreational travelers. For the automated computation of a scenic route in a trip planning system it is necessary to identify which attributes of a route and its surroundings are associated with attractive scenery. This study uses a route choice model, more specifically a Path Size Logit (PSL) model, to identify the relevant attributes and their relative importance. Three hypotheses are formulated and tested with three PSL models to understand the effects of different attributes on scenic route selection. The set of chosen scenic routes are based on various VGI (Volunteered Geographic Information) data that have been extracted for California as a study region. The results identify several variables of the surrounding environment as significant contributors to route scenery after controlling for road type.
Analyzing how travelers choose scenic routes using route choice models
Highlights We extract a collection of scenic routes from VGI data sources. We compute scenery and route specific attribute values of the extracted routes using visibility and network analysis. We use route choice models to determine how travelers choose scenic routes. Different models explain the effects of attributes in the selection process of a scenic route.
Abstract Finding a scenic route between two locations is a common trip planning task, in particular for tourists and recreational travelers. For the automated computation of a scenic route in a trip planning system it is necessary to identify which attributes of a route and its surroundings are associated with attractive scenery. This study uses a route choice model, more specifically a Path Size Logit (PSL) model, to identify the relevant attributes and their relative importance. Three hypotheses are formulated and tested with three PSL models to understand the effects of different attributes on scenic route selection. The set of chosen scenic routes are based on various VGI (Volunteered Geographic Information) data that have been extracted for California as a study region. The results identify several variables of the surrounding environment as significant contributors to route scenery after controlling for road type.
Analyzing how travelers choose scenic routes using route choice models
Alivand, Majid (author) / Hochmair, Hartwig (author) / Srinivasan, Sivaramakrishnan (author)
Computers, Environments and Urban Systems ; 50 ; 41-52
2014-10-24
12 pages
Article (Journal)
Electronic Resource
English
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