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The spatial structure of employment and its impacts on the journey to work in the Jakarta metropolitan area: a Southeast Asian extended metropolitan region (EMR) perspectiveHakim, Ikhwan, Built Environment, Faculty of Built Environment, UNSW January 2009 (has links)
This thesis is developed upon inquires on urban spatial structure of Southeast Asian extended metropolitan region (EMR) and its impacts on travel. Literature suggests that while efforts in promoting transport sustainability in the developed world have included policy measures involving urban spatial structure and its physical features as a consequence of the understanding on strong link between land use and transport, there has been lack of understandings on the spatial structure in major cities in Southeast Asia. Exploratory spatial data analysis (ESDA) is adopted for identification of important components of the spatial structure of employment in the Jakarta Metropolitan Area (JMA). The approach has been specifically designed in order to extract clusters as suggested in the Southeast Asian EMR concept. It is found that the spatial structure of employment in the JMA consists of the following major components: the urban core of Jakarta; the single dominant and expanded regional CBD within the urban core of Jakarta; manufacturing corridors that are largely follow toll roads radiating out of the urban core; local government regions that in general have not been developed into substantial sub-centres; desakota areas overlapping the manufacturing corridors and the agricultural areas; and portions of agricultural areas in the outer parts of Bekasi, Bogor and Tangerang regencies. The result shows that spatial structure of JMA conforms to the Southeast Asian EMR concept rather than the monocentric, polycentric or sprawl patterns debated for the case of developed cities. Commuting impacts of the identified spatial structure of employment and its physical features are investigated using the desireline analysis, home-to-work trip pattern comparisons (ANOVA) by the employment clusters, and ordinary linear regression and logistic regression models. It is found that the spatial structure identified and its physical features have significant associations to variations in the pattern of commuting across the region. The physical features of the employment spatial structure identified include important policy sensitive variables such as job density, job to household ratio, land use diversity and job accessibility. Policy implications of the findings are developed and centred on recommending both the spatial structure of employment and its physical characteristics that promote more sustainable transport in the JMA.
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