Urban Form, Land Use Mix, and Transport Networks: Towards a Synthetic Indicator For the 3 D’s in Multimodal Metropolis

March 3, 2025

Thank you to José Carpio-Pinedo, Fulbright Visiting Scholar at ITS Berkeley, who presented Urban Form, Land Use Mix, and Transport Networks: Towards a Synthetic Indicator For the 3 D’s in Multimodal Metropolis at the Institute of Transportation Studies Transportation Seminar Co-sponsored by Global Metropolitan Studies) on Friday, Feb. 28, 2025.

Abstract: What does urban proximity truly mean? What mix of land uses should we prioritize? And how should these factors be evaluated within the framework of multimodal transport? What are the morphological implications of the “15-minute” distance in metropolitan regions?

This research introduces a novel methodological approach to urban environments and mobility networks, focusing on their impacts across different modes of transport. Using synthetic indicators, it analyzes the balance and imbalance in functional and spatial complementarity. This includes assessing connectivity within various mobility networks: public spaces, roads for private vehicles, and public transport systems.

The outcome is a synthesis of Cervero and Kockelman’s “3 Ds”—density, diversity, and design—integrated with multimodal accessibility. Together, these elements form a comprehensive framework for evaluating the potential for sustainable mobility in complex metropolitan regions.

Bio: Jose is an associate professor of urban and regional planning from the Polytechnic University of Madrid (UPM), currently visiting Berkeley’s ITS on a Fulbright scholarship. His research focuses on the relationships between urban proximity dynamics, sustainability, and the characteristics of the built environment, with particular attention to morphology, land use, public space, and multimodal accessibility across different modes of transport. Methodologically, he explores the application and development of advanced spatial analysis techniques using GIS and new data sources, such as social media big data. His work has been recognized with the Best Doctoral Thesis Award in Urban Geography (Spanish Geography Association, 2022), the 1st Prize for Research in Urban Economics (City of Madrid, 2016), and the 2nd Prize in the Ford Fund Smart Mobility Challenge (2020).