Review of Benchmark Infrastructure Costings Presenter: Viraj - - PowerPoint PPT Presentation

Review of Benchmark Infrastructure Costings

Presenter: Viraj Abeykoon 24 July 2018

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• therwise) is or will be accepted by Cardno or by any of their respective officers, directors, shareholders, partners, employees, or advisers (Relevant Parties) as to or

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Disclaimer

Review of Infrastructure Benchmark Costings

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01 Introduction 02 Overview of Methodology 03 Background Data Processing 04 Monte-Carlo Analysis 05 Standardising Rates 06 Example Results

Topics

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Introduction 01

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The project aims to achieve: > Streamlined delivery of PSPs and ICPs > Provide accurate Benchmark Cost Estimates with a high degree of confidence 6 Infrastructure categories were investigated: > Roads and Intersections > Bridges > Culverts > Sporting Pavilions > Sports and Recreational Fields > Community Centers

Introduction

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Overview of Methodology 02

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Collate VPA Data Extract Statistical Properties Run Monte-Carlo Process Prepare representative drawings and extract quantities Obtain Total Project Costs for Infrastructure Items Obtain two types

• f Rates

Overview of Methodology

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Background Data Processing 03

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Create a database of previously adopted rates

• Split to various infrastructure items
• Checked for Regional/ Topographical variations
• Estimates with insufficient granularity were discarded

Background Data Processing

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Background Data Processing

> Extracting Statistical Properties

• Average Rate for each element
• Standard Deviation for each element

> Regional Variances and Topographical Variances were not observed in the data. > Extracted costs modeled to follow a normal distribution

Example

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50 52.5 55 57.5 60

Item Estimate 1 Estimate 2 Estimate 3 Mean

Standard Deviation

Kerb (per meter) 55 52 60 55.67 4.041 Drainage Pipe (per meter) 260 250 300 270 26.458

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Monte-Carlo Analysis 04

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> Monte-Carlo analysis is a world-renowned tool used to simulate a range of possibilities > In this instance, a range of infrastructure costs > Results can be used to provide Probabilistic Estimates > Cardno conducted 200,000 simulations > Quantities for above simulations were extracted from representative drawings

Monte-Carlo Analysis

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Monte-Carlo Analysis

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Item Rate ($/m) Quantity (m) Total ($) Kerb 56.00 10 560.00 Drainage 265.00 10 2650.00 TOTAL 3210.00

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50 52.5 55 57.5 60

%

230 250 270 290 310

%

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Monte-Carlo Analysis

Repeating this process over 200,000 iterations provides a distribution of possible project costs. P50 and P90 Totals were selected.

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5000 10000 15000 20000 25000 2430000 2541000 2652000 2763000 2874000 2985000 3096000 3207000 3318000 3429000 3540000 3651000 3762000 3873000 3984000 4095000 4206000 4317000 4428000 4539000 4650000 Frequency Project Cost

Cost Frequency Distribution

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Standardising Rates 05

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Standardising Rates

> Obtained 2 sets of rates for each item producing P90 and P50 Monte-Carlo totals > Based on ‘Inversing’ Normal Distribution

• f rates

> Example Monte Carlo result is P90 = $3,420

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Item P90 Rate ($/m) Quantity (m) Total ($) Kerb 57.00 10 570.00 Drainage 285.00 10 2850.00 TOTAL 3420.00

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50 52.5 55 57.5 60

%

230 250 270 290 310

%

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Example Results 06

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Example Results

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Example Results

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Example Results

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Example Results

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Thank you

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Review of Infrastructure Benchmark Costings