The paper uses OpenStreetMap (OSM) vector datasets to study the geometric properties of street centerlines and the regression techniques on the Landsat satellite images of these cities processed in GIS to study land-use patterns. This paper will focus on examining variations in provincial capital cities from Indonesia’s 6 regions: Sumatera, Java-Bali, Nusa Tenggara, Kalimantan, Sulawesi, Maluku-Papua. Indonesia is an archipelago country that consists of 17,508 islands and at least 514 urban areas, of which 98 of them can be categorized as cities. Although the current political establishment is planning to relocate the country’s capital to the Kalimantan island, comparative research on Indonesian cities is very limited. In addition, the study demonstrates how to further investigate city street networks and urbanization from different diverse dimensions.Īs one of the fastest growing countries with the largest population in the ASEAN region, cities in Indonesia are constantly evolving and changing. The findings of the study provide an insight into the novel and innovative approach that can help better understand the travel behavior lucidly and assist policymakers in decision making to maintain a balance between urban topology and travel demands. Then the contrasts between built-in street network topology and travel orientation were drawn to show where people travel over the network, travel demand, and finally which segments experience high or light traffic, revealing the true picture of network usability. The visualization of four New York City (NYC) boroughs including Queens, Brooklyn, Bronx, and Staten Island was generated for the daily traffic and the average hourly flows in the morning and evening rush hours. The visualizations adopt histograms and rose diagrams to provide several insights into network-wide traffic flows. This study proposes a novel approach to 1) visualize city-wide travel patterns with respect to the street network orientation and 2) analyze the discrepancies between travel patterns and streets to evaluate network usability. Over the years, multifaceted visualization methods have emerged to better express this travel trend from small to large scale. The interrelation between a city’s spatial network and how the residents travel over it has always been of high interest to scholars. Street Networks, knitted in the urban fabric, facilitate spatial movement and control the flow of urbanization. From this, we conclude that there is indeed a relationship between both, the intensity of the process of planning and the resulting urban morphology and that this relationship is non-linear. This study proves empirically that the distinct IoP has significantly contrasting structural complexities. Tests of significance of difference and post hoc analyzes are performed on the statistical distribution of structural complexities of the categories of IoP. Curating geodata on 381 study sites across the globe, we empirically investigate the relation of the IoP to the structural complexity of the urban fabric. Hence, we operationalized the urban structure by three structural elements: buildings, morphological units and streets. The focus of research is whether these conceptualized categories of IoP show demonstrable differences in morphology. Thus, we move away from the 'planned/unplanned' dichotomy and develop a continuum of Intensity of Plannedness (IoP). In this study, we develop an ontology of planning intensity: conceptualizing intemediate categories of whether an urban structure is planned single-handedly or constantly updated by myriads of participants. The relationship between the existing morphology and the diversity of planning processes, however, has been little studied empirically at a global scale. The physical appearance of the built urban landscape is the result of multiple, intertwined processes.
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