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Massachusetts Institute of Technology

Data Driven Transit Oriented Development Planning: Using Montreal’s New Transit System as a Case Study

Abstract

dc:description.abstract

The goal of transit-oriented development (TOD) is to encourage personal movement via walking or cycling to/from transit stations, increase the usage of shared means of transit, reduce highway, street, and parking congestion, and thereby instill both personal and environmental benefits. There has been a significant amount of research on the methods regional and city planners can use to identify and pursue opportunities for TOD. The primary focus of most prior research has centered on population density, walkability, land use diversity, and parking around potential transit nodes to identify which ones are best suited for TOD. Studies frequently aggregate these factors into a single TOD index. However, several key considerations have been omitted in past research and applications related to TOD, such as real estate development capacity, and market potential. This thesis aims to assess TOD potential quantitatively from both a city planner and real estate developers’ perspective for an existing transit network and new networks in the planning phase. As a result, city planners and real estate developers could co-create maps and indices to identify which existing stations would best serve as a new polycentric node, and where new transit lines should be placed to maximize the benefits associated with TOD. To address this gap in the prior literature and its practical applicability, this research proposes a unique methodological approach that focuses on development potential around major transit nodes and market potential. This new proposed methodology produces a spatial index with three distinct layers: the Walkability, the Potential Densification, and the Real Estate Market. Along with presenting a methodological approach, the methodology will be applied in a case study, using use the city of Montreal as an illustrative example.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Center for Real Estate. Program in Real Estate Development.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Owen, Jordan
Advisors dc:contributor.advisor
  • Cookke, Jennifer
  • Shen, Kairos

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/145086
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/145086

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Owen, Jordan. Data Driven Transit Oriented Development Planning: Using Montreal’s New Transit System as a Case Study. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/145086