Geographia Technica, Vol 14, Special Issue 2019, pp. 118-128


RESDIANSYAH (South Tangerang, Indonesia)

DOI: 10.21163/GT_2019.141.25

ABSTRACT: Urban mobility refers to a sustainable transport that gives the least impact in terms of social and environmental but at the same time is able to supply energy sources globally that includes non-motorized transport strategies deployment also known as Mobility Management Scheme (MMS). As new road development cannot help solve the congestion problem, past research has shown that MMS is an effective measure to mitigate congestion. MMS consists of different strategies that subdivided into categories according to how they are able to influence urban travel behavior. Determining appropriate strategies requires transportation expert. Unfortunately, very few experts can be considering as adviser, and are unlikely to be available at all times. Development of new version of Smart Advisory System (SAS) in order to assist policy maker would be a valuable tool. This research has successfully developed new SAS based on human expertise using Kappa-PC shell version 2.4. The process of knowledge acquisition and selection of MMS strategy has been encoded in a knowledge-based system. The newly developed SAS was successfully verified, validated and evaluated (VV&E) using Turing test by comparing the result output with the real expert recommendation from South East Asia in which the findings suggested favorable results for the system.

Keywords: Mobility Management Scheme (MMS), Smart advisory system, Shell expert system, Urban mobility.

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