Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN

TL;DR

This study compares how different urban designs in two neighborhoods influence the effectiveness of on-demand bus services in reducing traffic and CO2 emissions, highlighting the importance of urban planning for climate resilience.

Contribution

It demonstrates the significant impact of urban design on transit efficiency and emissions reduction, using the TRANSIT-GYM tool to quantify effects in two contrasting neighborhoods.

Findings

Doubling bus utilization reduces emissions by over 8% to 10%.

Mixed-use urban design in South End yields greater emission reductions.

Higher bus utilization correlates with decreased traffic and emissions.

Abstract

Urban design significantly impacts sustainability, particularly in the context of public transit efficiency and carbon emissions reduction. This study explores two neighborhoods with distinct urban designs: South End, Charlotte, NC, featuring a dynamic mixed-use urban design pattern, and Avondale, Chattanooga, TN, with a residential suburban grid layout. Using the TRANSIT-GYM tool, we assess the impact of increased bus utilization in these different urban settings on traffic and CO2 emissions. Our results highlight the critical role of urban design and planning in transit system efficiency. In South End, the mixed-use design led to more substantial emission reductions, indicating that urban layout can significantly influence public transit outcomes. Tailored strategies that consider the unique urban design elements are essential for climate resilience. Notably, doubling bus utilization decreased daily emissions by 10.18% in South End and 8.13% in Avondale, with a corresponding reduction in overall traffic. A target of 50% bus utilization saw emissions drop by 21.45% in South End and 14.50% in Avondale. At an idealistic goal of 70% bus utilization, South End and Avondale witnessed emission reductions of 37.22% and 27.80%, respectively. These insights are crucial for urban designers and policymakers in developing sustainable urban landscapes.