'Doing the Right Things' Before 'Doing Things Right': A Conceptual Transportation/Land Use Framework for Livability, Sustainability and Equity in the Era of Autonomous Vehicles
21 Pages Posted: 23 Sep 2017 Last revised: 3 Dec 2017
Date Written: August 1, 2017
Since the beginning of modern planning, images and frameworks have been used to conceptualize ideas and guide approaches. This paper presents the development of a conceptual performance measurement framework for integrating transportation and land use planning in order to evaluating various future driverless and autonomous vehicles scenarios and policy alternatives. Our findings suggest placing measures of effectiveness and overall street livability, before measures of efficiency when determining scenario performance.
As the performance dimension of effectiveness allows for measurements of both transportation as well as land-use, it provides a more holistic approach than transport-only efficiency measures. A short come of efficiency is it does not broadly measure how people are served and transported — instead narrowly focusing on transport inputs and outputs. To achieve broader goals of sustainability, livability and equity, this paper recommends placing effectiveness, “Doing the Right Things”, before efficiency, and “Doing Things Right” — this paper suggests pursuing both, but effectiveness should clearly lead.
This paper presents a performance measure framework that can move us toward an automated vehicle future using fewer cars (through greater sharing), traveling shorter distances (through better land use planning), and at slower speeds (through policies) — giving us a greater chance to achieve street livability objectives that are also likely to be more sustainable and equitable.
This paper also outlines how this model would apply to certain street transects and how these relate to specific urban policies achieving sustainability, livability, and equity in future cities.
Keywords: autonomous vehicles, streets, livability
JEL Classification: R42, R52
Suggested Citation: Suggested Citation