Smart Commuting for Urban Working Family to Workplace

Urbanisation shifts by means of technology and social trends affect the pattern of mobility where currently people tend to travel longer distance. High mobility demand usually colligates with the transportation system network. Traffic load especially during peak hours making excessive time spent com...

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Bibliographic Details
Published in:Procedia, social and behavioral sciences social and behavioral sciences, 2015-05, Vol.184, p.252-258
Main Authors: Rahman, Adzlia Noor Nadiah Abdul, Yusoff, Zaharah Mohd, Omar, Dasimah
Format: Article
Language:English
Subjects:
low-cost housing
mobility
network analysis
traveling pattern
Online Access:Get full text
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Summary:Urbanisation shifts by means of technology and social trends affect the pattern of mobility where currently people tend to travel longer distance. High mobility demand usually colligates with the transportation system network. Traffic load especially during peak hours making excessive time spent commuting on the road. This research will emphasise on the use of Geographical Information System (GIS) technique and statistical software to explore the distance parameter to the workplace area based on the network analysis. Utilisation of network analysis on path finding helps in reviewing the current path taken and also used to establish the optimal suggestion of routes that can be taken by commuter especially for the low-cost housing. Proper transportation system helps narrowing the time consumption on transportation ride by compromising distance flow from the home location to the employment area that showed a powerful visualisation and data manipulation capabilities of the patterns and trend.
ISSN:1877-0428
1877-0428
DOI:10.1016/j.sbspro.2015.05.088