Low Carbon Footprint Routes for Bird Watching

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ID: 22607
2015
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Abstract
Bird watching is one of many recreational activities popular in ecotourism. Its popularity, therefore, prompts the need for studies on energy conservation. One such environmentally friendly approach toward minimizing bird watching’s ecological impact is ensuring a reduced carbon footprint by using an economic travel itinerary comprising a series of connected routes between tourist attractions that minimizes transit time. This study used a travel-route planning approach using geographic information systems to detect the shortest path, thereby solving the problems associated with time-consuming transport. Based on the results of road network analyses, optimal travel-route planning can be determined. These methods include simulated annealing (SA) and genetic algorithms (GA). We applied two algorithms in our simulation research to detect which one is an appropriate algorithm for running carbon-routing algorithms at the regional scale. SA, which is superior to GA, is considered an excellent approach to search for the optimal path to reduce carbon dioxide and high gasoline fees, thereby controlling travel time by using the shortest travel routes.
Reference Key
fang2015lowsustainability Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Fang, Wei-Ta;Huang, Chin-Wei;Chou, Jui-Yu;Cheng, Bai-You;Shih, Shang-Shu;
Journal sustainability
Year 2015
DOI
DOI not found
URL
http://www.mdpi.com/2071-1050/7/3/3290
Keywords
taiwan genetic algorithms simulated annealing

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