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Title:

Value Planning for Rapid Transit: Toward a Method for Predicting and Maximizing Land Value Uplift and Capture in Station Areas

Accession Number:

01629762

Record Type:

Component

Abstract:

A rich history of literature has demonstrated that the provision of rapid transit infrastructure and transit-oriented development (TOD) land use planning can result in land value uplift (LVU), though it is heavily context-dependent. In response, planners and policymakers around the world have shown interest in capturing some of these benefits, which traditionally accrue to private landowners, to finance the infrastructure project. This is done through the use of land value capture (LVC) tools. However, the imposition of LVC tools requires a prior knowledge of expected LVU benefits, and aside from simple approximation there is at present no method for predicting the magnitude and spatial distribution of LVU benefits associated with future infrastructure. In response, this paper develops a value planning framework for predicting LVU associated with rapid transit and TOD that can be used to develop empirical estimations of LVU around which LVC policy tools can be designed.

Supplemental Notes:

This paper was sponsored by TRB committee ADD30 Standing Committee on Transportation and Land Development.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-04862

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Higgins, Christopher D
Kanaroglou, Pavlos S

Pagination:

15p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References; Tables

Subject Areas:

Planning and Forecasting; Public Transportation

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-04862

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:52AM