Utilizing Multiple Data Sources In The Preparation Of A Vision Zero Plan For The City Of Alexandria: Investigating The Relationship Between Transportation Infrastructure, Socio- Economic Characteristics, And Crash Outcomes In The City

“Vision Zero,” first adopted by Sweden in 1997, is a road safety policy that aims to achieve a transportation system having zero fatalities or serious injuries for all modes of transportation. It takes a proactive approach to road safety system by identifying risk and taking steps to prevent injuries. Historically, traffic related crashes have disproportionately impacted vulnerable communities and system users including people of color, low income individuals, seniors, children, and pedestrians, bicyclists, and transit users (who typically walk to and from public transport). These inequities are addressed in the Vision Zero framework by prioritizing interventions in areas that need safety improvements the most. In 2016, the Alexandria City Council voted unanimously to develop a “Vision Zero” policy and program as a part of its updated transportation master plan. It required an initial equity analysis to assess the impact of traffic crashes on the traditionally underserved communities / groups (groups from at least one of these categories: low-income; minority; elderly; children; limited English proficiency; persons with disabilities; and/or pedestrians/ bicyclists/ transit users). This study combines three different methods to investigate the equity issues regarding traffic safety: 1) descriptive analysis of the spatial pattern of crashes and their relationship with the demographic profiles of neighborhoods at census block group level (for 2010-2014 period); 2) descriptive analysis of the crash trends in Alexandria; and 3) exploratory regression analyses for two different units of analysis (an aggregate regression analysis of crashes at census block group, and a disaggregate regression analysis of the individual level crash reports of traffic crashes). The analysis found that the elderly, school aged children, rail/subway users, and pedestrians had a higher risk of fatalities and severe injuries in traffic crashes. Higher job densities, alcohol impairment, and speeding were significantly related to higher KSI, whereas, smaller block sizes (higher number of street segments per sq. mile area of census block group), higher housing density, and use of safety equipment were related to lower KSI.

Name thesis:degree_name

Master of Urban and Regional Planning

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Urban and Regional Planning

Department dc:contributor.department

Public and International Affairs

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2016

Author dc:creator

• Punase, Shubha

Chair dc:contributor.committeechair

• Buehler, Ralph

Committee members dc:contributor.committeemember

• Steven, Chozick
• Elizabeth, Morton

• Traffic safety
• Transportation planning
• Vision zero
• Traffic crash data analysis
• Regression analysis
• Social Equity
• Transportation
• Shubha Punase
• Negative Binomial Regression
• Binomial Logistic Regression
• City of Alexandria
• Virginia
• Spatial analysis
• ArcGIS point density estimation
• Descriptive analysis
• Crash trends

Statement dc:rights

• Creative Commons Attribution 3.0 United States

Licence dc:rights.uri

• http://creativecommons.org/licenses/by/3.0/us/

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/10919/78329

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/78329