A sustainable historicwaterfront revitalization decision support tool for attracting tourists

Waterfront revitalization would be an effective strategy to preserve heritages, conserve the contaminated or abandoned site and inspire the identity and authenticity. However, there is no decision support tool to quantify and evaluate the sustainability accreditation of waterfronts in tourism attrac...

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Bibliographic Details
Main Authors: Keyvanfar, Ali, Shafaghat, Arezou, Mohamad, Sapura, Mohammed Abdullahi, Mu’azu, Ahmad, Hamidah, Mohd. Derus, Nurul Hidayah, Khorami, Majid
Format: Article
Language:English
Published: MDPI AG 2018
Subjects:
Online Access:http://eprints.utm.my/86240/1/ArezouShafaghat2018_ASustainableHistoricWaterfrontRevitalization.pdf
Description
Summary:Waterfront revitalization would be an effective strategy to preserve heritages, conserve the contaminated or abandoned site and inspire the identity and authenticity. However, there is no decision support tool to quantify and evaluate the sustainability accreditation of waterfronts in tourism attraction. This research aimed to identify the most potential waterfront typology in tourism attraction and develop the waterfront sustainable revitalization (SWR) index assessment model. The SWR index can assist policy makers and urban developers to analyze the heritage waterfronts using Analytical Hierarchy Process (AHP) method. The research found out the historic waterfront has the highest potential in tourism attraction among other typologies. And, pollution moderator is mostly important sub-criterion in tourism absorption (WC2.2 = 0.1294); followed by Identity (WC1.2 = 0.1272) and Safety and well-being (WC1.3 = 0.1043). The SWR index can be applied in any waterfronts in heritage cities around the world, while this research implemented it as a case study in Bandar Maharani, Muar, Malaysia. It resulted Bandar Maharani was ranked as grade C; means, usable waterfront to which extent environmental, social and physical revitalization are needed. The SWR index can be coupled with other decision-making methods in future, to reduce its inconsistencies and increasing accuracy.