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In order to prioritize the intervention to augment regional competitiveness, it is essential to assess the relative weights and sensitivities related to the factors of competitiveness. Improper assignment of relative weights is prominent in the case when multi-co-linearity exists among independent variables. The paper tests the suitability of multiple models for their capacity of assessing relative weights, and subsequently for forming a competitiveness index. The relative weights of critical components of economic infrastructure have been assessed with Zero-order correlation, Structure coefficient analysis, Beta coefficient analysis, Product measure analysis, Relative weight analysis, and Commonality analysis. Subsequently, regional competitiveness indices have been formed with relative weights as a linear combination. The most suitable technique to form an index has been identified through the Pearson correlation and Spearman rank correlation analyses. Multiple regression analysis assigns the relative weights and consecutively forms the regional competitiveness index, better than other applied techniques. Zero-order correlation and Structural coefficient analysis performed reasonably well. Commonality analysis is a very appropriate technique for the detailed investigation of unique and shared effects among variables. The result shows that the common effects of the critical components of the economic infrastructure are stronger than their unique effects. The sensitivity of competitiveness related to the variables has been assessed through Artificial Neural Network. Regional competitiveness is most sensitive to the variable of rural roads. The results indicate that better connectivity triggers capital and labor drain from the rural areas of the region.

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The images of urban spaces, at present, are manifesting dystopic imageries that are obstructing for the functioning of the public realm. Habitable space of a city should be shaped according to human purposes and to satisfy their needs. In defining urban space design, urban nodes acted as nuclei to provide access and opportunity to the people. Nodes generate out of physical traits, activities and are supported by physical spatial design and public interaction. The scale of nodes varies from large urban squares to a small park, to a partially enclosed space in front of a building, to a sidewalk. Since the cores of the cities are generally highly congested and promoted multi-layered activities, Nodes can be presented strategically to get perceptual importance. Imageability of all these spaces is dependent on the quality attributed to the physical presentation of a space that induces high probability of evoking strong images in the mind of the observer. Thus, rejuvenation of these urban nodes can act as an intervening process to regenerate habitable breathing space amongst the dystopic condition of the city.With analysis of the existing scenario of these nodes, the elements for techno-art intervention to alter the physical, tangible imageability of the nodes can possibly be identified. Thus, the paper explores the present rate of imageability of the nodes and what could be the possible art and design solutions based on the expert's opinion to intervene for the betterment of the experience of the physical space.

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