Multi-criteria GIS modeling for optimum route alignment planning in outer region of Allahabad City, India
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ORIGINAL PAPER
Multi-criteria GIS modeling for optimum route alignment planning in outer region of Allahabad City, India Mukund Pratap Singh 1 & Pitam Singh 2
Received: 12 September 2016 / Accepted: 22 June 2017 / Published online: 8 July 2017 # Saudi Society for Geosciences 2017
Abstract A route alignment planning has various stages. At different stages, multi-criteria decision analysis (MCDA) is required. This paper integrates geographical information system (GIS) and MCDA for designing the optimum route alignment. A GIS-based model using the multi-criteria decision analysis for finding the optimum route alignment to design major road from a source to a destination within two locations is proposed. Three different levels of analysis were performed in this study such as criteria map analysis, surface cost analysis, and least-cost path analysis. The optimum route has the least cost and satisfies other environmental, technical, social, and economic criteria. The proposed model is implemented to design optimum route alignment between two locations in the outer area of Allahabad City, India. Four route alignments are created, and one of the best routes is chosen. Keywords Route alignment planning . Geographic information system (GIS) . Weighted overlay . Multi-criteria decision analysis . Decision support system
Introduction Route alignment is an important task in urban infrastructure development. Building new route or expanding existing route requires immense public spending and has dramatic effects on * Pitam Singh [email protected] 1
GIS Cell, Motilal Nehru National Institute of Technology, Allahabad, India
2
GIS Cell and Department of Mathematics, Motilal Nehru National Institute of Technology, Allahabad, India
the natural and human environments through which they pass. This important public investment naturally generates strong and conflicting interests among different stakeholder groups, making the design of route alignments a great challenge. For the development of cost minimization model, a number of costs are considered for designing route alignment by the planners, of which the most significant are the right-way and earthwork costs. A good route alignment optimization model should have characteristics like (a) consider all dominating and sensitive costs, (b) formulate all constraints, (c) yield realistic alignment, (d) be able to handle alignments with backward bends, (e) simultaneously optimize a horizontal and vertical alignment, (f) find global and near-global solution, (g) have an efficient solution algorithm, (h) have a continuous search space, (i) consider intersection, interchange bridge, and tunnel cost, (j) automatically avoid inaccessible region, and (k) compatible with the GIS. Highway route alignment optimization techniques have been developed with the integration of genetic algorithm optimization techniques and GIS (Jong et al. 2000; Jong and Schonfeld 2003; Jha and Schonfeld 2003, 2004; Kim et al. 2004, 2005; Cheng and Lee 2006; Jha and Kim 2006; Jha and Maji 2007; Jha et al. 2007; Gokt
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