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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Highway Investments and Land Value</title>
      <link>https://rip.trb.org/View/2093167</link>
      <description><![CDATA[This activity will enable the measurement of the contribution and distribution of highway investments on local and regional economies. These economic contributions and distribution are not captured in traditional benefit-cost analysis. With increasing recognition of the role of highways in achieving equity and livability, it is important to understand the multifaceted effects of highway investments in different communities. This activity will develop an empirical framework to analyze the impact of highway investment strategies in stimulating and sustaining local and regional economies, and the framework can be expanded to include business activities and other economic benefits. This activity will use advanced data source and sophisticated econometric approaches to evaluate the relationships between highway investments and residential land values, as well as the distribution of land value change across different demographic groups.]]></description>
      <pubDate>Tue, 03 Jan 2023 13:53:32 GMT</pubDate>
      <guid>https://rip.trb.org/View/2093167</guid>
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      <title>Quantifying the Impacts of Corridor Management</title>
      <link>https://rip.trb.org/View/1516163</link>
      <description><![CDATA[The integration of transportation planning and land use is critical to ensuring sustainable corridor functionality and surrounding growth. Corridor management can provide that integration and inform state departments of transportation (DOTs) and regional, and local decision-making.  It can be difficult, however, to assess and quantify the impacts of corridor management in a manner that state, regional, and local officials find compelling. 
Many states and regions have designated corridors of significance, but long-term planning for coordinated management of these corridors is lacking.  The absence of wide-spread coordinated planning might relate to the difficulty of achieving collaboration among numerous affected agencies and institutions coupled with limited availability of tools necessary to help reach consensus on complex issues.  Research is needed to fill this critical gap - moving beyond current practices by identifying methods to quantify impacts associated with corridor management to support improved, proactive, coordinated planning and decision-making. 

The objective of this research is (1) to produce a framework for measuring the impacts of corridor management, demonstrating applicable strategies and techniques; and (2) to develop guidelines for how to implement that framework. The framework includes:
(1)    A working definition of what a corridor is, what is meant by corridor management, and a description of how that definition has evolved; 
(2)    A delineation of the primary components of a corridor management program and how those components address measuring public value and sustainability;
(3)    A description and review of current experience, including existing tools and techniques used to measure impacts and implement a corridor management program in support of various planning and management objectives;
(4)    A matrix or other organizing technique that can be used to classify the variety of corridors as a basis for the framework; and 
(5)   Recommendations for models and/or strategic approaches to measure impacts (quantitatively and qualitatively) and integrate current practices with potential changes that can occur, taking into account risk and uncertainty in long-term planning and forecasting methods.
The framework and guidelines are intended to supplement FHWA's Integrated Corridor Management (ICM) program which is directed toward transportation system operations and performance on corridors using technology and intelligent transportation systems (ITS).  In contrast, this research will focus on transportation system corridor management as a proactive transportation and land-use planning activity with an emphasis on maximizing public value while implementing effective infrastructure investment strategies.  ]]></description>
      <pubDate>Mon, 18 Jun 2018 22:04:28 GMT</pubDate>
      <guid>https://rip.trb.org/View/1516163</guid>
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      <title>Assessing the Impact of Light Rail Transit on Land Values and Tax Revenues</title>
      <link>https://rip.trb.org/View/1251769</link>
      <description><![CDATA[Light Rail Transit (LRT) has become an increasingly popular centerpiece of smart growth policies in the United States, yet considerable debate exists about its cost-effectiveness. The overarching question that we propose to address in this research is "What are the early returns to proposed and under-construction Light-Rail Transit (LRT) investment and how do these vary across neighborhoods?" It may take 10 or 20 years to generate substantial revitalization of a given neighborhood, but early increases in property value and tax collections may stimulate neighborhood change, and defray capital costs. A related question is "What is the best methodology to address the responses to LRT at the neighborhood level, while simultaneously measuring changes in property values at a regional scale rather than focusing solely on station area impacts?" We propose also to separate agglomeration effects (such as neighborhood commercial and residential development) from those associated with change in mobility (such as better access to downtown). Accordingly, a team of researchers with expertise in smart growth, spatial and temporal econometric modeling, investment decision making, and GIS/GIS-T , will build a series of models to estimate the effects of LRT on the land markets. Detailed GIS-based data on land-use, new construction, and residential transactions will be analyzed for the LRT system in Phoenix, Arizona, for three distinct phases--pre-approval, planning, and construction. Innovative independent variables include dynamic measures of accessibility at the metropolitan scale derived from GIS-T models, and a proxy for neighborhood change derived from data on new construction. Modeling techniques capable of disentangling neighborhood and regional effects include Geographically Weighted Regression (GWR) and a local Spatial and Temporal Autoregressive (STAR) model. Comparison of out-of-sample predictive ability and spatial autocorrelation in the models' residuals will inform on performance, and provide a more nuanced understanding of the dynamics set into motion by decisions to build LRT, quantify the spatial distribution and extent of early returns on investment at the metropolitan scale, and provide more effective decision-making on this smart growth tool.]]></description>
      <pubDate>Tue, 04 Jun 2013 01:00:47 GMT</pubDate>
      <guid>https://rip.trb.org/View/1251769</guid>
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