Total views : 264

Comparative Study of Selected Greenfield Development Projects

Affiliations

  • VIT University, Vellore - 632014, Tamil Nadu, India
  • Velammal Engineering College, Chennai - 600066, Tamil Nadu, India

Abstract


Objectives: To compare Greenfield development projects that formed part of creation of smart cities, and thereby identify the variables that show correlation with the total area of the site developed. Methods/Statistical Analysis: Ten Greenfield development projects were chosen for data collection. Projects were so chosen that they are from different sizes. They vary from, as small as 0.36 sq. km to, as large as 150 sq. km. Data were collected from the respective project reports. Fifteen variables were compared. Correlation analysis was used as the tool to know how different variables exhibit relationship with increasing size of sites chosen. Findings: Variables such as population hosted, distance of the site to nearest city, commercial land use, provision of special economic zones, educational land use, wasted managed on a daily basis and lush greenery show significant correlation with the size of the project (with correlation coefficients respectively as 0.9627, 0.8421, 0.8556, 0.7847, 0.837, 0.8847 and 0.7323). When areas are reasonably large, their centroid will usually be located far away from the nearby major city. Such mega projects have additional provision of transport infrastructure to connect the site to the nearby city. It is also found that not all variables showed correlation with the area of the site. Employment, project cost and its duration are some examples (with correlation coefficients of 0.0532, 0.0637 and 0.5331 respectively). This is against normal intuition that when the greenfield development area is larger, it could cost more or it could provide more employment. However, findings above show otherwise. Such findings are helpful for urban planners drafting projects for smart cities to take into account the key variables that have correlation and carefully plan for the variables that show no correlation. Application /Improvement: Correlation analysis proves to be a simple and effective tool when applied in the comparison of Greenfield development projects, as smart city initiatives are increasing in the recent years.

Keywords

Greenfield Development, Land Use, Smart Cities, Satellite Towns, Urban Planning, Urban Sprawl.

Full Text:

 |  (PDF views: 229)

References


  • United Nations. Department of economic and social affairs, world urbanization prospects – The 2014 revision highlights. United Nations: United States. 2014; 27:96–105.
  • Ministry of urban development. smart cities mission statement and guidelines. Ministry of urban development: Government of India [Internet]. [cited 2015 Jun]. Available from: smartcities.gov.in/writereaddata/smartcityguidelines.pdf.
  • Hula RC, Reese LA, Elmoore CJ. Reclaiming Brownfields: A comparative analysis of adaptive reuse of contaminated properties. Routledge: United Kingdom; 2012. p. 406.
  • Valaei Z. Consideration on Sassanid Architectural works and urban planning in ancient Persia. Indian Journal of Science and Technology. 2011 Oct; 4(10):1–7.
  • Smart City Malta [Internet]. [cited 2016 Jun 26]. Available from: http://www.smartcity.ae/Malta.
  • Facts and figures on HafenCity Hamburg [Internet]. 2016. [cited 2016 Jun 26]. Available from: http://www.hafencity.com.
  • Gujarat International Finance Tec-City Company Limited. Gujarat International Finance Tec-City (GIFT) [Internet]. [cited 2016 Aug 30]. Available from: https://en.wikipedia.org/wiki/Gujarat_International_Finance_Tec-City.
  • GIFT Development Project Information [Internet]. [cited 2016 Jun 26]. Available from: http://giftgujarat.in.
  • Bhikshapathy B, Pandharipande VM, Krishna Mohan PG. Mobile path loss slope for Indian suburban areas. Indian Journal of Science and Technology. 2012 Aug; 5(7):1–5.
  • Songdo IBD [Internet]. [cited 2016 Jun 26]. Available from: http://songdoibd.com.
  • Stilwell B, Lindabury S. Masdar. Stilwell and Lindabury green city reviews. Cornell University, United States; 2008. p. 1–9.
  • Adeya C, Munywoki A. Konza techno city, Kenya: Frequently asked questions. Artemis Transition Partners: United Kingdom; 2012. p. 13.
  • Mehedi H, Shamsul H. Developing satellite towns: A solution to housing problem or creation of new problems. International Journal of Engineering and Technology. 2016; 8(1):50–6.
  • Jebasingam IJ. Creating the essence of cities: The planning and development of Malaysia’s new federal administrative capital, Putrajaya. City Planning Department, Putrajaya Corporation: Malaysia; 2006. p. 1–14.
  • Paciano C. Clark green city. Bases development and conversion authority: Philippines; 2015.
  • Clark Green City [Internet]. [cited 2016 Jun 26]. Available from: https://clarkgreencityphils.com.
  • Sweco Group. Caofeidian International Deep Green Eco-City: Nine Themes of Planning. Sweco Group: Sweden [Internet]. [cited 2011 Sep 6]. Available from: www.worldarchitecturenews.com/wanmobile/mobile/article/17490.
  • Yue Z. The Chinese future eco-city – A specialized analysis of Caofeidian International Eco-city. Master Thesis: Uppsala University. Sweden; 2010. p. 1–100.
  • Mai YY, Sun XN. Practice of interprovincial public transport in Beijing-Tianjin-Hebei region. Proceedings of 4th International Conference on Civil, Architectural and Hydraulic Engineering, Guangzhou, China; 2015. p. 1351–5.
  • Anilkumar PP, Chithra AK. Land use generator based solid waste estimation for sustainable residential built environment in small/medium scale urban areas. Indian Journal of Science and Technology. 2016 Feb; 9(6):1–7.
  • Payment C, Watkins D. Hydrologic information system for greenfield site development and management. Proceedings of the World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat, Florida, United States; 2007. p. 1–8.
  • Chris H. Housing, Equality and Choice. Institute for Public Policy Research: United Kingdom; 2003.
  • Surya S. Biodiversity and bird friendly design in urban areas for sustainable living. Indian Journal of Science and Technology. 2016 Feb; 9(5):1–7.

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.