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Forecasting Employment Growth Along the GTA West Corridor: A Spatial Approach to Planning and Applied Policy Research

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posted on 2024-03-18, 14:57 authored by Sridhar Lam

The objective of this research paper is to forecast employment based on the suitability of available land (supply) along the proposed GTA West Corridor (demand), a highway which links the existing highways within the Greater Toronto Area (GTA). The theoretical framework and proxy sites establish the relationship between employment land uses, highway exits and interchanges (impedance). Using Spatial Analyst tools, the 2019 Land Cover data is analyzed (Step A) to identify the 'Whitebelt/Excess lands’ by each municipal jurisdiction which assesses that Caledon (9,800 ha) has the highest followed by Municipality of Halton Hills (7,000 ha), Brampton (4,900 ha), Milton (4,800 ha), Vaughan (4,700 ha), Mississauga (1,000 ha) and King (8 ha). Suitability Model (Step B) is executed converting the vector data to raster data, and considering the Euclidean distance criteria from the highway, exits and interchanges. The total identified suitable employment lands along the corridor is 5,482 ha towards employment use, out of which 2,473 ha is in primary, 1,733 ha in secondary, and 1,276 ha in tertiary distance from the proposed highway, exits and interchanges. The forecast model (Step C) estimates 87,800 jobs (Scenario #1), 58,400 jobs (Scenario #2) and 29,000 jobs (Scenario #3), in line with the regional/municipal employment density targets and achieve desired employment activity by 2031. These results help policy makers in identifying the strategic direction towards the economic benefit that can be achieved by designation of employment lands (highly recommended with special policies to limit the land use conversions) along the proposed highway corridor.

History

Language

English

Degree

  • Spatial Analysis

Program

  • Spatial Analysis

Granting Institution

Ryerson University

LAC Thesis Type

  • MRP

Thesis Advisor

Shuguang Wang & Haiqing Xu

Year

2022

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