Integrated spatial economic and travel demand modeling framework for transportation infrastructure impact assessment

This study presents an integrated spatial economic and travel demand modeling framework for quantifying the monetary benefits of transportation infrastructure, an essential element of project impact assessment. Building on existing literature in spatial economic modeling (SEM), the study enhances current practices by integrating a SEM with a regional travel demand model to simulate the interactions among land use, accessibility, and economic activity. Rather than focusing solely on direct travel-related benefits, the framework captures broader and more nuanced economic effects, including productivity gains, land use shifts, and improved market access. The framework is applied to a representative infrastructure scenario in Alberta to illustrate its practical utility. The results demonstrate the value of combining spatial economic theory with empirical modeling to generate geographically detailed and policy-relevant economic impact estimates. This approach supports more comprehensive and data-informed investment evaluations aligned with regional planning and decision-making criteria.

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Publication Details

Journal
Canadian Journal of Civil Engineering
Published
2025-11-07
DOI
https://doi.org/10.1139/cjce-2025-0172
Primary Topic
Urban Transport and Accessibility
Type
article
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article

Integrated spatial economic and travel demand modeling framework for transportation infrastructure impact assessment

Ali Farhan, Matiur Rahman, Amila Sandaradura
Canadian Journal of Civil Engineering
Urban Transport and Accessibility
article

Integrated spatial economic and travel demand modeling framework for transportation infrastructure impact assessment

Ali Farhan, Matiur Rahman, Amila Sandaradura
article en

Abstract

This study presents an integrated spatial economic and travel demand modeling framework for quantifying the monetary benefits of transportation infrastructure, an essential element of project impact assessment. Building on existing literature in spatial economic modeling (SEM), the study enhances current practices by integrating a SEM with a regional travel demand model to simulate the interactions among land use, accessibility, and economic activity. Rather than focusing solely on direct travel-related benefits, the framework captures broader and more nuanced economic effects, including productivity gains, land use shifts, and improved market access. The framework is applied to a representative infrastructure scenario in Alberta to illustrate its practical utility. The results demonstrate the value of combining spatial economic theory with empirical modeling to generate geographically detailed and policy-relevant economic impact estimates. This approach supports more comprehensive and data-informed investment evaluations aligned with regional planning and decision-making criteria.

Canadian Journal of Civil EngineeringVol. 53
United States Department of Transportation (US), Texas Department of Transportation (US), Government of Alberta (CA), Public Works (GB)
Openalex Percentile: Top 66%
Urban Transport and Accessibility
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