Urban Studies and Planning Commons^™

Data From: Statistical Inference For Multimodal Travel Time Reliability, Avinash Unnikrishnan, Miguel Figliozzi, Subhash C. Kochar

TREC Datasets and Databases

Travel time reliability is a key metric of interest to practitioners and researchers because it affects travel choice and the economic competitiveness of urban areas. This research focuses on three travel time reliability metrics – buffer index, modified buffer index, and the relative width of travel time distributions. The key novel contributions of this research include using the multivariate delta method to prove that the sampling distributions of the three travel time reliability metrics are asymptotically normal. The asymptotic standard error for the three reliability metrics is derived. The asymptotic normality and the standard error result are used to arrive …

Data From: “Developing Strategies To Enhance Mobility And Accessibility For Community-Dwelling Older Adults”, Kate Hyun, Kathy Lee, Caroline Krejci

TREC Datasets and Databases

This study administered a survey to 146 lower-income adults in Dallas, TX, aged 55 and older, between February and June 2020. As affordable public transportation options target senior citizens age 65 and older, this study focused on older adults as aged 65 and over. However, we also recruited adults aged 55 to 64 to distinguish how emerging seniors differently perceive or perform transportation activities compared to current older adults. In a partnership with a local organization providing resources and information for older adults and family caregivers located in Dallas, we used snowball sampling by recruiting participants from Foster Grandparent Program …

Data Files: Green Waves, Machine Learning, And Predictive Analytics: Making Streets Better For People On Bikes, Stephen Fickas

TREC Datasets and Databases

The project builds on a prior app that was designed for Green Light Optimized Speed Advisory (GLOSA). This is more colloquially known as keeping a vehicle in the green wave: you are at a location and moving at a speed that will allow you to (theoretically) have a green light at each intersection you encounter along a corridor. Our long-term goal is to extend the FastTrack app described in the Background section to include actuated signals along a corridor. This project takes a first step by evaluating the effectiveness of machine-learning algorithms to predict the next phase of an actuated …

Data Files: Bi-Objective Optimization For Battery Electric Bus Deployment Considering Cost And Environmental Equity, Xiaoyue Cathy Liu, Yirong Zhou, Ran Wei, Aaron Golub

TREC Datasets and Databases

This data supports the research project Bi-objective Optimization for Battery Electric Bus Deployment Considering Cost and Environmental Equity and a final report published on NITC’s website.

Dataset collected through multiple sources and organized into different formats including CSV format, JSON format, shapefile and code repository.

Context: The research project develops a bi-objective model that aims to help transit agencies to optimally deploy BEB while considering both capital investment and environmental equity. The unique spatio-temporal characteristic of BEB system, charging limitations (on-route and in-depot charging), and operational constraints are also considered and incorporated into the model.

Data Files: The Role Of Bus Stop Features In Facilitating Accessibility, Keith Batholomew, Ja Young Kim, Divya Chandrasekhar, Reid Ewing, Arlie Adkins, Samuel Jensen

TREC Datasets and Databases

These datasets support a final report published on NITC’s website “The Role of Bus Stop Features in Facilitating Accessibility”: https://nitc.trec.pdx.edu/research/project/1214.

The DOI for the final report is: https://dx.doi.org/10.15760/trec.254.

Data From: Updating And Expanding Lrt/Brt/Sct/Crt Data And Analysis, Robert Hibberd, Arthur C. Nelson, Kristina M. Currans

TREC Datasets and Databases

This data supports the LRT/BRT/SCT/CRT Development Outcomes FINAL PHASE.

The FINAL PHASE will allow us to use factor/cluster analysis to create typologies of station areas to assess the extent to which types of stations (as opposed to transit systems as a whole) make a difference in economic development (based on LEHD data), and people (census data) during the periods before, during and after the Great Recession as appropriate for each system and mode. It will also allow us to refine hedonic regression analysis.

Data From: How Will Autonomous Vehicles Change Local Government Budgeting And Finance? Case Studies Of On-Street Parking, Curb Management, And Solid Waste Collection, Benjamin Y. Clark

TREC Datasets and Databases

Datafiles

Parking Occupancy Datasets: These CSV (comma separated values) datafiles include parking occupancy data from the Seattle Department of Transportation (SDOT). Each of the 11 datafiles indicates the time period that it includes, with dates ranging from January 1, 2012 to December 31, 2017. Each file contains 6 months of data on block-by-block occupancy of paid parking. The number of available spaces were calculated from this dataset in addition to the median and mean occupancy rates for each Tract. City data documentation indicates the following about the dataset: “The City of Seattle has created an on-street paid parking occupancy …

Data From: Market Segment Prediction Tool, Philip L. Winters, Amy Lester

TREC Datasets and Databases

Social marketing seeks to develop and integrate marketing concepts with other approaches to influence behaviors that benefit individuals and communities for the greater social good. Social marketing is a useful transportation demand management (TDM) planning approach to promote travel-behavior change, and combines at least seven distinguishing features that sets it apart from other popular, behavior-change planning approaches, such as education and mass media campaigns. These seven features include a focus on socially beneficial behavior change; a strong consumer orientation; the use of audience segmentation techniques and the selection of target audiences; the use of marketing’s conceptual framework (marketing mix and …

Nationwide Worker Database To Analyze Transit Outcomes Using An Economic And Demographic Lens, Robert Hibberd, Arthur C. Nelson

TREC Datasets and Databases

This extensive database project provides demographic data for workers, both in terms of where they live and where they work, for 39 U.S. Metropolitan Statistical Areas (MSAs). Planners and researchers can use this database to assess the extent to which transit stations and station areas are associated with economic and demographic change, and to forecast similar magnitudes of change through proposed new or expanded transit systems. Specific data elements include job numbers based on job sector, earnings, race, education, sex, and distance of census blocks to transit separated by mode type. Data were extracted as part of a larger project …