DR ARVIND VARSHNEYD I R E C T O R I N N O VAT I O N A N D K N O W L E D G E M A N A G E M E N T

CONFEDERATION OF CONSTRUCTION PRODUCTS AND SERVICES IN INDIA

What makes a city smart?

16 years AGO…

Coming soon…

Cave-people spent most time searching for GOOD food

Source: cavemenworld.com

Modern people spend most time looking for USEFUL information

Source: http://bynatal.net/

Image source:

Currency of life

Smart cities DIKW

Data-blood pressure, body temperature, blood sugar

Information: BP+Sugar higher than normal

Knowledge: Unhealthy pattern, requires intervention

Wisdom: Best line of treatment from amongst options available

DECISIONS

PAST

FUTURE

A proven tool: LESS*

LESSLocal-area Envisioning and Sustainability-scoring System

National Award –Australia 2012 State Award –NSW 2010

International review CSIRO+IFLA, coordinated by

AILA

Smart City Management

Shar

ed d

atab

ase

Security

Emergency services

Communication

Planning

Health

Civic Services

Taxes and Rates

Transport

•Policy•Design•Construction•Management

Example inputs for LESS 1

_Carbon Neutrality_Green house gases_Urban heat island effect

Climate change and emissions

Ecological + water resources

_Diversity and quality of recreation experiences_Contribution to community health and well being_harmonious development of human resource_Benefits to social cohesion and sense of

community

Health and lifestyle

Economic Vitality _Attractiveness for service industry to invest_Capital costs and recurrent cost_Employment and business opportunities

Cost effective maintenance

_Potential income generation through events and services

_engaging with different parts of government and establishing governance mechanisms

Revenue generation

Environment

Governance

Qianhai Landscape Concept Plan and Guidelines

OBJECTIVES

FOCUS AREAS ISSUES

Socio-economic

Infrastructure Public Facilities +transport

Future development/adaptabil

ity

_Habitat conservation + construction_Water resource conservation + sustainable

applications_Diversity of habitat types: terrestrial, riparian and

estuarine _effcient use of natural landscape and coastlines

_Land use efficiency and walkability + multi mode transport

_Recurrent and life cycle costs and benefits_creating linkages with other regional centres

_Future changes in demography and demands_Future costs of development

_Robust, low maintenance and enduring designMonitoring and regular auditing_Coordination with other parts of government_Transparent process_Monitoring and regular auditingExample inputs for

LESS 2

Example result from LESS

Business as usual

After design intervention

Hawkesbury LGA

SydneyOctober 2009

What is CSI?_Constraints Severity Index is a spatially enabled tool which can identify locations that are constrained by a range of factors and therefore may not be suitable for urban development. _The concept behind the Constraints Severity Index works on the understanding that environmentally or otherwise constrained land should generally not be used for urban development._The Constraints Severity Index (CIS Index) was used to identify future development sites in Hawkesbury LGA. CSI analyses key issue to build a picture of development constraints and opportunities across the LGA.

CONSTRAINT SEVERITY INDEX (CSI)

Details of locations that are less constrained than others

Image caption sample (Arial, Regular, 9pt)

What is the process?1. Identify indicators 2. Assign weighting to each indicator .

Opportunities are given a positive value (0 to 5) and constraints are given a negative value (0 to -5).

3. Divide the LGA into a grid of uniformly sized square cells to standardise the spatial unit of analysis. 400m by 400m. Was used here.

4. Quantify every indicator within each cell.5. Standardised indicator value against the

maximum value in any cell on a scale of 0 to 100.

6. Aggregate weighted and standardised indicator values This provides a picture of the opportunities and constraints combined together.

7. A high (positive) index value indicates higher potential, and a low (negative) index value indicates low or no potential for additional residential development. Therefore, cells with higher index values are identified for further investigation for their suitability to accommodate future development.

Image caption sample (Arial, Regular, 9pt)

CONSTRAINT SEVERITY INDEX (CSI)

Infrastructure Availability Index (IAI)

Unrealised Potential Quotient (IAI)

Service Accessibility

Image: Urban Practitioners

Data-blood pressure, body temperature, blood sugar

Information: BP+Sugar higher than normal

Knowledge: Unhealthy pattern, requires intervention

Wisdom: Best line of treatment from amongst options available