Developing a Methodology to Identify Non-Normative Key Destinations for Transportation Planning

Medium- to long-range planning processes generally aim to fix deficiencies in the current transportation network by better distributing existing resources or acquiring new resources. This requires some way of defining better service patterns, including identifying priority places to and from which t...

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Published inTransportation research record Vol. 2678; no. 1; pp. 749 - 759
Main Authors Horiuchi, Julianna, Zimmer, Alissa, Reginald, Monisha, Gartsman, Anna, Brown, Connor, Limprevil, Drefnie, De Jesus Martinez, Carolyn
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.01.2024
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ISSN0361-1981
2169-4052
DOI10.1177/03611981231172509

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Abstract Medium- to long-range planning processes generally aim to fix deficiencies in the current transportation network by better distributing existing resources or acquiring new resources. This requires some way of defining better service patterns, including identifying priority places to and from which the network will increase connectivity. Typically, identifying these priority places happens through project-specific outreach efforts, sometimes with the support of job density or population data. This paper discusses a process for leveraging confirmatory public outreach and combining it with location-based services data (or other sources of multi-modal travel data, e.g., household travel surveys) to create an iteratively developed and reproducible methodology for identifying key destinations. This method allows an agency to minimize outreach fatigue by only conducting periodic public outreach on the subject, rather than asking the same baseline questions for every individual planning project. Additionally, this method better bolsters equity by moving away from normatively selected destinations (which tend to be traditional job centers with 9-to-5 commuters) and supporting more high-participation outreach efforts in the future. Ultimately, this paper makes the case that the output of outreach in a data-informed planning process should be a replicable methodology, not a static list.
AbstractList Medium- to long-range planning processes generally aim to fix deficiencies in the current transportation network by better distributing existing resources or acquiring new resources. This requires some way of defining better service patterns, including identifying priority places to and from which the network will increase connectivity. Typically, identifying these priority places happens through project-specific outreach efforts, sometimes with the support of job density or population data. This paper discusses a process for leveraging confirmatory public outreach and combining it with location-based services data (or other sources of multi-modal travel data, e.g., household travel surveys) to create an iteratively developed and reproducible methodology for identifying key destinations. This method allows an agency to minimize outreach fatigue by only conducting periodic public outreach on the subject, rather than asking the same baseline questions for every individual planning project. Additionally, this method better bolsters equity by moving away from normatively selected destinations (which tend to be traditional job centers with 9-to-5 commuters) and supporting more high-participation outreach efforts in the future. Ultimately, this paper makes the case that the output of outreach in a data-informed planning process should be a replicable methodology, not a static list.
Author Reginald, Monisha
Zimmer, Alissa
Horiuchi, Julianna
De Jesus Martinez, Carolyn
Gartsman, Anna
Limprevil, Drefnie
Brown, Connor
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Keywords planning and analysis
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data and data science
location-based services
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