Multi-criteria evaluation and least cost path analysis for an arctic all-weather road

Atkinson, David M.; Deadman, Peter; Dudycha, Douglas; Traynor, Stephen

doi:10.1016/j.apgeog.2005.08.001

Cited by 85 publications

(67 citation statements)

References 12 publications

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“…The least-cost path method has been used to identify paths that connect ecologically valuable areas by calculating all cost-surfaces pertaining to wildlife mobility for ecological planning [7,69]. Related research involves analyses of network patterns of local communities [70], road construction and traffic scenarios in industrial areas [71,72], plans for urban green networks and coastal eco-networks [73,74], and green networks through connectivity assessments of wildlife [64,75,76]. In this study, the least-cost path method is used to select the optimal area for replacement wetland that can ecologically compensate for a cost area.…”

Section: Landscape Functional Connectivitymentioning

confidence: 99%

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An Integrated Approach to Mitigation Wetland Site Selection: A Case Study in Gwacheon, Korea

et al. 2015

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This paper presents an integrated approach to mitigation wetland site selection using functional landscape connectivity and landscape structure. This approach enables landscape designers to evaluate the relative priorities of mitigation wetland areas based on functional landscape connectivity and wildlife mobility, as well as landscape structure, composition, and configuration. The least-cost path method is used to evaluate candidate sites for mitigation wetlands with regard to wildlife movement. A set of assessments for landscape indices using FRAGSTATS was applied to identify suitable mitigation wetland areas on the basis of landscape connectivity, composition, and configuration. The study was conducted in Gwacheon, Korea, where there are plans for regional development that will change the landscape. In the first step, a group of 14 candidate sites is identified via analysis of functional landscape connectivity using the least-cost path method. In the second step, candidate mitigation wetland areas are ranked according to landscape connectivity and composition. The five mitigation wetland areas that were found to be suitable were analyzed based on landscape configuration at the class level. This study demonstrates OPEN ACCESSSustainability 2015, 7 3387 that functional landscape connectivity and landscape structure are important aspects to consider when identifying suitable sites for mitigation wetland planning and restoration.

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Section: Landscape Functional Connectivitymentioning

confidence: 99%

“…It accomplishes this objective by using wetland mitigation banking and noting the ecological connectivity of the cost area [52]. It is a simple and rapid method for increasing landscape connectivity using nodes, patches, and corridors [71,77] and for selecting candidate alternative wetlands locations.…”

Section: Landscape Functional Connectivitymentioning

confidence: 99%

An Integrated Approach to Mitigation Wetland Site Selection: A Case Study in Gwacheon, Korea

et al. 2015

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“…Upchurch et al (2004) successfully overcomes the limitation of current vector network-based methods in dealing with off-network areas by modeling and using a Cost Surface with an ArcInfo based ACS algorithm to generate service areas in on-network and off-network travel. Atkinson (2005) in developing a multi-criteria model for use in determining a route for an arctic allweather-road combined many factors including slope, land surface type, distance to streams, archeological and ecological sites, et cetera. All these studies show the flexibility with which ACS methods can be used with any modeled Cost Surface.…”

Section: Review On Raster-based Lcp Computationmentioning

confidence: 99%

Approximating Inter-modal Travel Cost Using a Hierarchical Accumulated Cost Surface Method

Leleito

Ohgai

2010

Journal of Asian Architecture and Building Engineering

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An essential component of spatial analysis travel is often inter-modal and any surface such as the ground, air or water can be a travel path depending on the travel mode. Current geospatial software, while offering various procedures for complex computation of travel costs based on different factors, can however become quite cumbersome, inflexible and limited in meeting a researcher's needs especially when dealing with inter-modal travel. To more realistically capture this ground truth, simulation models need fast and efficient methods that take into consideration available travel modes rather than simple networks. An innovative approach for computing and visualizing optimal paths in inter-modal travel is proposed in this paper. A modified Accumulated Cost Surface method is used with several travel cost surfaces created based on the underlying topography and available modes of travel. Preliminary tests demonstrated a high level of success in computing travel time on actual road network data. This paper discusses the effectiveness and limitations of this method. Current findings suggest that this method might provide a convenient way for computation and visualization that is suitable for use in Web-based planning support systems.

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“…The cost surface can be produced via Geographical Information Systems (GIS) and the cost criteria can be evaluated and weighted with AHP. Some of the studies on LCPA involve a selecting the fastest path with the least slope (Stefanakis and Kavouras, 1995), selecting three alternatives between destination and origin points (Hassan and Effat, 2013), determining arctic all weather road (Atkinson et al 2005), optimal route from multiple destination and origin points (Lee and Stucky, 1998), multi-criteria based cost surfaces (Collischonn and Pliar, 2000) and (Douglas, 1994).…”

Section: Introductionmentioning

confidence: 99%

Least Cost Path Algorithm Design for Highway Route Selection

Sarı

Şen

2017

International Journal of Engineering and Geosciences

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ABSTRACT:Highway route design is a difficult process due to the complex structure of the environment. The topography and the natural geographical objects constitute an obstacle for highway constructions. On the other hand, the cost parameter and protecting the environment are main two issues which planners have to consider. Thus, the priorities of the highway routes should be decided according to the requirements and expectations. At this point, Least Cost Path Algorithm (LCPA) makes it possible to investigate least cost path for highway routes. This cost can be assigned as the cost of the constructions such as avoiding slope and swampy areas or an environmental object such as keeping the forests and not damaging to agricultural lands. When the cost parameter is decided, then LCPA can calculate the least cost path from origin point to destination. In this study, new highway routes are investigated for Konya city with economic, environmentally and hybrid approaches. The cost parameter and related surfaces are generated according to the highway construction requirements and then with LCPA, three different routes are calculated. The result maps are generated and the three approaches are compared for environmental and cost parameters.

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Multi-criteria evaluation and least cost path analysis for an arctic all-weather road

Cited by 85 publications

References 12 publications

An Integrated Approach to Mitigation Wetland Site Selection: A Case Study in Gwacheon, Korea

An Integrated Approach to Mitigation Wetland Site Selection: A Case Study in Gwacheon, Korea

Approximating Inter-modal Travel Cost Using a Hierarchical Accumulated Cost Surface Method

Least Cost Path Algorithm Design for Highway Route Selection

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