Economic Sustainability of Inner City Streets: A Collaborative Sustainable Asset Management Transportation System Model

Thumbnail Image
Date
2015-07-01
Authors
Zakery, Fara
Eisel, Joyce
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Research Projects
Organizational Units
Organizational Unit
Institute for Transportation
InTrans administers 14 centers and programs, and several other distinct research specialties, and a variety of technology transfer and professional education initiatives. More than 100 Iowa State University faculty and staff work at InTrans, and from 200 to 250 student assistants from several ISU departments conduct research while working closely with university faculty. InTrans began in 1983 as a technical assistance program for Iowa’s rural transportation agencies.
Journal Issue
Is Version Of
Versions
Series
Department
Institute for Transportation
Abstract

The research team developed and created a sustainable asset management transportation system model, focusing on inner-city road conditions related to municipal asset allocation within three St. Louis, Missouri wards. To facilitate the research objectives, the team collaborated with Missouri constituents including the Missouri Department of Transportation (MoDOT), the City of St. Louis Street Department, local government officials, universities, and stakeholders. Selection criteria for roadways included roads, traffic, location, safety, utility, and demographics. A 45-block area was divided into six sections and roads were surveyed, photographed, and evaluated using The Transportation Engineers Association of Missouri’s Pavement Surface Evaluation and Rating (PASER). Necessary street repairs and costs of each repair were calculated using global mapping technology and historical cost data. Since aldermen decide street asset allocations, costs were allocated to each city ward district. These assessments, which were based on a technology-driven model, should assist in the construction of future financial models based on a need projection to dollars spent ratio per fiscal year. It is expected that this economic model will be implemented in the St. Louis Metropolitan Region and replicated by similar municipalities.

Comments
Description
Keywords
Citation
DOI
Source
Subject Categories
Copyright
Collections