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Urban India and Planning for Sustainable Cities

Matt Ball on May 19, 2012 - in Announcement, Projects, Smart Cities

India is rapidly urbanising and is at a crucial juncture in its development.  The urbanisation phenomenon has both positive and negative effects.  It could be argued that appropriate urban development policies and planning methodology can use the potential positives to foster better equity of benefits from the booming overall growth.  On the other hand, if India does not capitalise on the potential advantages appropriately, then in the next few decades the negatives of urbanisation could amplify, worsening city living and become a stumbling block in its economic growth story.

The second part of the presentation briefly demonstrates a quantitative approach to enhancing and better informing the city plan-making process, using the case study of Ahmedabad, India. It is believed that using such a methodological planning framework, cities in the developing world can prepare their own tailor-made policy that best satisfies their objectives, making the planning efforts count for improving the quality of life in cities.

Bio: Dr. Bhargav Adhvaryu heads the M.Tech in Infrastructure Engineering & Management (MIEM) program at CEPT University, Ahmedabad, India where he teaches courses related to cities and transport; transport infrastructure; and quantitative research methods.  He also coordinates and directs the Centre for Sustainable Cities—a centre recently set up at CEPT to promote cross-disciplinary research with focus on developing countries and comparative case study learning and international collaborations. Dr. Adhvaryu is a Fulbright Visiting Professor at the UCLA Department of Urban Planning and is co-teaching a course on Sustainable Cities in China and India for the Spring 2012 quarter. His research and practice interests span a wide variety of interlinked areas such as sustainable cities and transport; transport infrastructure planning, design, and management; enhancing development/master planning using analytical tools and techniques; land use—transport interaction modelling and incorporating economic aspects into models of cities.

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