Browse all documents

Applying a Sustainable Asset Valuation (SAVi) to a Public Bicycle Sharing System in Dwarka, New Delhi, India

Report an error

Summary

AI-generated

This summary is written by a language model reading the source document. It is not the publisher's words and is not a substitute for the original.

Learn more about AI enrichment

This fact sheet describes a Sustainable Asset Valuation (SAVi) assessment conducted by the International Institute for Sustainable Development (IISD) for a proposed Public Bicycle Sharing (PBS) system in Dwarka, New Delhi. The analysis evaluates the environmental, social, and economic co-benefits of the system across three demand scenarios to strengthen the business case for public investment in bicycle lanes and safety infrastructure.

Key insights

AI-generated

These insights are written by a language model reading the source document. They are not the publisher's words and are not a substitute for the original.

Learn more about AI enrichment
  • The SAVi assessment analyzed three demand scenarios for the PBS system, each involving a shift in mobility from buses, cars, motorcycles, auto rickshaws, pedal rickshaws, and walking. In the 'low demand' scenario, 11,147 daily trips and 29,700 daily vehicle km are avoided; the 'medium demand' scenario avoids 15,831 daily trips and 42,176 daily vehicle km; and the 'high demand' scenario avoids 23,993 daily trips and 63,922 daily vehicle km.
  • While traditional financial analysis shows the PBS system falls short on performance under all scenarios, the integration of SAVi externalities results in a positive net value. The largest benefits are derived from the economic value of time saved, increases in retail revenues, and property values, as well as avoided air pollution costs. The only negative externality identified is the increased direct exposure to air pollution for cyclists.
  • The discounted net benefits over a 20-year period are positive across all scenarios, even using conservative low-end estimates. The low-demand scenario yields more than INR 3.14 billion (~USD 44.4 million), while the high-demand scenario yields a net result of INR 4.82 billion (~USD 68.2 million).
  • The assessment aims to support the sustainable mobility targets of the Delhi Master Plan 2021, which was prepared by the Delhi Development Authority to address the under-provision of transport infrastructure and the need for environmental conservation.

Cite the original document

APA
Wuennenberg, L., Bassi, A. M., Perera, O., & Pallaske, G. (n.d.). Applying a Sustainable Asset Valuation (SAVi) to a Public Bicycle Sharing System in Dwarka, New Delhi, India. International Institute for Sustainable Development. https://www.iisd.org/system/files/publications/savi-dwarka-india-bicycle-sharing-brochure-en.pdf
Chicago
Wuennenberg, Laurin, Andrea M. Bassi, Oshani Perera, and Georg Pallaske. Applying a Sustainable Asset Valuation (SAVi) to a Public Bicycle Sharing System in Dwarka, New Delhi, India. International Institute for Sustainable Development, n.d. https://www.iisd.org/system/files/publications/savi-dwarka-india-bicycle-sharing-brochure-en.pdf.
Wikipedia
{{cite report |last1=Wuennenberg |first1=Laurin |last2=Bassi |first2=Andrea M. |last3=Perera |first3=Oshani |last4=Pallaske |first4=Georg |title=Applying a Sustainable Asset Valuation (SAVi) to a Public Bicycle Sharing System in Dwarka, New Delhi, India |publisher=International Institute for Sustainable Development |url=https://www.iisd.org/system/files/publications/savi-dwarka-india-bicycle-sharing-brochure-en.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}
BibTeX
@techreport{wuennenbergndapplying, author = {Wuennenberg, Laurin and Bassi, Andrea M. and Perera, Oshani and Pallaske, Georg}, title = {{Applying a Sustainable Asset Valuation (SAVi) to a Public Bicycle Sharing System in Dwarka, New Delhi, India}}, institution = {International Institute for Sustainable Development}, url = {https://www.iisd.org/system/files/publications/savi-dwarka-india-bicycle-sharing-brochure-en.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }

Full text

Collected · Record updated