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The relationship between street pattern and neighbourhood travel characteristics

Mazlan, Nur Asmida (2017) The relationship between street pattern and neighbourhood travel characteristics. PhD thesis, Universiti Teknologi Malaysia, Faculty of Built Environment.


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Recently, the dependency on private vehicles rising rapidly almost around the world. This issue arising from the rapid growth of development as well as population. The possession of a driving license easily also contributes to the increase in vehicle ownership, thus, increasing reliance on private vehicles. At the same time, the highest frequency in auto mobility related to travel demands and existing street pattern. In response to enhance sustainable mobility and active lifestyle, this research is conducted to analyse the relationship between street pattern and neighbourhood travel characteristics. This research is carried out in 13 large residential areas in Johor Bahru that have total size more than 1000 acres which are categorised by the year built of neighbourhoods. This study used Descriptive Statistics and Independent Sample T-Test in analysing the street pattern and travel characteristics. The type of street pattern, land use, street pattern measures and street network density of each neighbourhoods are identified using ArcGIS 10.2 while observation surveys are conducted to collect travel characteristics data within the study area. The results indicate that old neighbourhoods are better in street connectivity and accessibility compared to new neighbourhoods. This research also indicates that new neighbourhoods have a higher dependency on automobile trips due to highest travel time and travel expenses. There are several suggestions that can be implemented in addressing the issues includes encourage mixed-use development, enforcement of planning codes, establishing policies on private vehicle ownership and improve the existing alternative travel facilities.

Item Type:Thesis (PhD)
Additional Information:Thesis (Sarjana Falsafah) - Universiti Teknologi Malaysia, 2017; Supervisors : Assoc. Prof. Dr. Muhammad Zaly Shah Muhammad Hussein, Dr. Mehdi Moeinaddini
Subjects:H Social Sciences > HT Communities. Classes. Races > HT101-395 Sociology, Urban
Divisions:Built Environment
ID Code:78931
Deposited By: Fazli Masari
Deposited On:17 Sep 2018 07:23
Last Modified:17 Sep 2018 07:23

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