Open Access Open Access  Restricted Access Subscription or Fee Access

Evaluation of the Multi-Criteria Approach on Rail Route Planning

Chanushi Amodya, DMDOK Dissanayake, HMR Premasiri

Abstract


A Geographic Information System (GIS) includes of a hardware and software which are used for purposes such as to capture, store, evaluate, administer and distribute spatial data. GIS has a vast array of spatial analysis tools such as GIS viewer, Geodatabase, mapping tools, modelling tools etc. At present GIS is broadly used in conjunction with multi criteria decision analysis method to perform infrastructure studies and transportation studies such as road and rail. Multi criteria decision analysis can be applied in vehicle routing, site selection, scenario evaluation, land suitability, impact assessment, and location allocation for different sectors. According to majority of the literature, main factors considered in designing railway with GIS are land use, slope, drainage and soil. When multi criteria decision analysis is combined with GIS, it considers different geographical data models, spatial dimension of the evaluating criteria and decision alternatives in those criteria. The best route out of various alternate alignments has been designed using GIS thematic maps and network analysis in ArcGIS as a base. As a conclusion, this review study proves that multi criteria decision analysis combined with GIS plays a major role in modern railroad construction.  


Full Text:

PDF

References


A. Al-Hameedawi, M. Salih, H. Mohammed and M. Hassan. “Selecting optimum railway track using GIS techniques” The 3rd International Conference on Buildings, Construction and Environmental Engineering, BCEE3-2017. in MATEC Web of Conferences. 23–25 October 2017, Sharm el-Shiekh, Egypt. France: EDP Sciences; 2018; 162 (03018) 1, 238 p

Samuel McKinley, Heng Wei, “Viability Assessment of Light Rail Line Planning: Case Study of Cincinnati Eastern Corridor,” Urban Rail Transit, 2017; 3: 34–44.

S. Panchal and A. Debbarma. “Rail-Route Planning Using a Geographical Information System (GIS)”. Engineering, Technology & Applied Science Research. October 2017; 7 (5): 2010–2013.

M. Arastounia. “Automated Recognition of Railroad Infrastructure in Rural Areas from LIDAR Data,” Remote Sensing. 2015; 7 (11): 14916–14938.

M. De Luca, G. Dell’Acqua and R. Lamberti, “High-Speed Rail Track Design Using GIS And Multi-Criteria Analysis,” Procedia-Social and Behavioral Sciences. October 2012; 54: 608–617.

C. O'Dell, I. Reid and A. Trinder, “An Innovative Approach to Rail Options Analysis Using GIS,” CORE 2010: Rail, Rejuvenation and Renaissance. Conference on Railway Engineering. 12–15 September, 2010; Wellington, New Zealand. Washington DC: National Academy of Sciences. 2010; 578–587p.

A. Verma, D. Upadhyay and R. Goel, “An integrated approach for optimal rail transit corridor identification and scheduling using geographical information system,” Journal of King Saud University–Science. July 2011; 23 (3): 255–271.

D. Wickramasinghe, T. Vu and T. Maul, “Satellite remote-sensing monitoring of a railway construction project,” International Journal of Remote Sensing. December 2017; 39 (6):1754–1769.

T. Blaschke, G. Hay, M. Kelly, S. Lang, P. Hofmann, E. Addink, R. QueirozFeit, F. van der Meer, H. van der Werff, F. van Coillie and D. Tiede, “Geographic Object-Based Image Analysis–Towards a new paradigm”. ISPRS Journal of Photogrammetry and Remote Sensing. January 2014; 87: 180–191.

Z. Qiaoping, I. Couloigner. “Automatic road change detection and GIS updating from high spatial remotely-sensed imagery,” Geo-spatial Information Science. 2004; 7 (2): 89–95.

E. Ozceylan, M. Erbas, C. Cetinkaya and M. Kabak. “Analysis of Potential High-Speed Rail Routes: A Case of GIS-Based Multicriteria Evaluation in Turkey,” Journal of Urban Planning and Development. June 2021; 147 (2).

C. Cui, J. Wang, Y. Pu, J. Ma, and G. Chen, “GIS-based method of Delimitating trade area for retail chains” International Journal of Geographical Information Science. March 2012; 26 (10): 1863–1879.


Refbacks

  • There are currently no refbacks.


eISSN: 2230-7990