Real world representation of a road network for route planning in GIS

Sadeghi‐Niaraki, Abolghasem; Varshosaz, Masood; Kim, Kye Hyun; Jung, Jason J.

doi:10.1016/j.eswa.2010.12.123

Cited by 60 publications

(23 citation statements)

References 24 publications

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“…Road traffic crashes have been studied from different perspectives using various methodologies. For the analysis of motor vehicle crashes, many researchers have used regression and spatial analysis to investigate the relationships between crashes and contributing factors and perform various location based analyses . Moreover, due to the importance of knowledge acquisition from large data set of crash records, data mining methods have become an essential component in many road safety studies.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the analysis of motor vehicle crashes, many researchers have used regression and spatial analysis to investigate the relationships between crashes and contributing factors and perform various location based analyses. 11,[14][15][16][17][18][19][20][21][22][23] Moreover, due to the importance of knowledge acquisition from large data set of crash records, data mining methods have become an essential component in many road safety studies. Numerous data mining 12,13,[24][25][26][27][28][29][30][31] related studies have been undertaken to analyze crash records locally and globally with frequently varying results depending on the study area and the methods used.…”

Section: Literature Reviewmentioning

confidence: 99%

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A semantic‐based classification and regression tree approach for modelling complex spatial rules in motor vehicle crashes domain

Effati

Sadeghi‐Niaraki

2015

WIREs Data Min & Knowl

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Innovative data mining and knowledge discovery approaches that take advantage of geospatial analysis can be useful for analysis of motor vehicle crashes on regional highway corridors. This study presents an Ontology-based Classification and Regression Tree (OCART) approach to induct crash rules on regional highway corridors by adding ontological reasoning to Classification and Regression Tree (CART) decision rules. It develops an ontology-driven geospatial framework to predict the motor vehicles crash severity through the proposed OCART approach. A system prototype has been developed and implemented on a regional highway corridor in order to illustrate and evaluate the proposed method. The results demonstrate the application of ontological reasoning and spatial computation significantly improves the performance of CART crash rules. The proposed method reveals new relationships among crash severities and contributing factors that have been kept implicit in CART decision rules.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

A semantic‐based classification and regression tree approach for modelling complex spatial rules in motor vehicle crashes domain

Effati

Sadeghi‐Niaraki

2015

WIREs Data Min & Knowl

Self Cite

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“…Jung and Seo, 2010;Yang and Tzeng, 2011;Shiue and Lin, 2012;Saaty and Vargas, 2013;Liang et al, 2013;Aragonés-Beltrán et al, 2014;Jaafari et al, 2015). Additionally, ANP has been employed in the GIS-based MCDM (e.g., Pourebrahim et al, 2010;Huang et al, 2011;Sadeghi-Niaraki et al, 2011;Bojórquez-Tapia et al, 2013;Ferretti and Pomarico, 2013;Azizi et al, 2014). It calculates the required weights associated with criterion map layers with the help of a preference matrix, in which all identified relevant criteria are compared against each other based on preference factors.…”

Section: Introductionmentioning

confidence: 99%

Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS

Zabihi

Ahmad

Vogeler

et al. 2015

Computers and Electronics in Agriculture

113

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“…This technique has been broadly applied to many different aspects of problems areas (Vidal et al, 2010;Sadeghi-Niaraki et al, 2011;Yu et al, 2011). A review of the applications and methodological developments of AHP can be found in Ishizaka and Labib (2011).…”

Section: The Analytic Hierarchy Processmentioning

confidence: 99%

An integrated multiple criteria preference ranking approach to the Canadian west coast port congestion conflict

Hipel

2012

Expert Systems with Applications

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Abstract:An integrative conflict analysis approach, incorporating an Analytic Hierarchy Process (AHP) based preference ranking method into the Graph Model for Conflict Resolution (GMCR), is employed to investigate the Canadian west coast port congestion dispute. The Canadian west coast has historically been an important gateway connecting North America to Asia thanks to its specific geographical and strategic location. Despite successful operations and maintenance of the port facilities to handle international trade during the past few decades, the west coast is now facing increasing congestion problems, resulting in significant delays in transporting goods from the west coast to other parts of Canada and the USA. The strategic analyses carried out in this research suggest potential resolutions in which Canada would expand port facilities at various locations, encouraging traders to continue choosing the Canadian west coast as one of their trade gateways to North America. and 114%, respectively (Transport Canada, 2005). Some statistical data provide further description of this situation: the world gross domestic product in the past twenty years has increased 2.8% annually; global container trade has increased about 9% annually; more than 140 jumbo containerships of 8,000 to 10,000 TEUs capacity will be sailing on the world's oceans within five years. These capacity crises, due to exponentially Meanwhile, the US ports are also experiencing a serious congestion situation. The huge amounts of international trading are "straining the supporting infrastructure" and significantly delaying all activities within supply chains (Sowinski, 2007 (Saaty, 1980(Saaty, , 1982(Saaty, , 1995(Saaty, , 2001 provides a mathematical procedure to take both quantitative and qualitative criteria into consideration in ranking decision alternatives. In this paper, the AHP approach is adapted to elicit preference rankings for each DM, which are then fed into a decision support system (DSS), GMCR II (Fang et al., 2003a(Fang et al., , 2003b, to carry out a standard graph model stability analysis. KeywordsThe remainder of the paper is organized as follows. In the second section, the basic methodology utilized in the application is described. Section III develops the conflict model for the Canadian west coast congestion problem and explains the preference derivation procedure from the AHP method. Section IV furnishes useful structural insights garnered from the strategic analysis. The paper concludes with some remarks in Section V. DESCRIPTION OF THE METHODOLOGYIn this section, basics are first introduced about the graph model and its associated DSS, GMCR II. Then, the AHP approach is briefly explained with a focus on its structural features and practical procedures for utilizing the approach to derive preference information that will be incorporated into the graph model for carrying out the strategic analysis. The Graph Model for Conflict ResolutionThe Graph Model for Conflict Resolution is a simple but flexible methodology that is designed t...

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Real world representation of a road network for route planning in GIS

Cited by 60 publications

References 24 publications

A semantic‐based classification and regression tree approach for modelling complex spatial rules in motor vehicle crashes domain

A semantic‐based classification and regression tree approach for modelling complex spatial rules in motor vehicle crashes domain

Land suitability procedure for sustainable citrus planning using the application of the analytical network process approach and GIS

An integrated multiple criteria preference ranking approach to the Canadian west coast port congestion conflict

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