ITS Monday: Edition 8, 2026

Crowdshipping participation among private vehicle users

First up, this from David Levinson‘s Transportist blog, “This study investigates the determinants of willingness to participate in crowd shipping (WTP-CS) for the working population within the Mumbai Metropolitan Region. It explores socioeconomic factors, personality traits, and travel correlates to WTP-CS by testing an integrated choice and latent variable (ICLV) modeling framework. Four conclusions are drawn.”

Could smart research ensure healthy people in disrupted cities?

A new academic paper, co-authored by Billie Giles-Corti, Belen Zapata-Diomedi, Afshin Jafari, Alan Both, and Lucy Gunn. The abstract:

Since the late 19th century, city planners have struggled to cope with new types of urban transport and mobility that threatened the existing system, or even rendered it obsolete.

As city planners confront the range of disruptive urban mobilities currently on the horizon, this paper explores how we can draw on a vast body of evidence to anticipate and avoid unintended consequences to people’s health and wellbeing. This commentary involved a rapid review of the literature on transport disruption.

We found that to avoid the unintended consequences of disruption, research, policy and practice must think beyond single issues (such as the risk of chronic disease, injury, or traffic management) and consider the broader consequences of interventions. For example, although autonomous vehicles will probably reduce road trauma, what will be the negative consequences for physical inactivity, sedentary behavior, chronic disease, land use, traffic congestion and commuting patterns? Research is needed that considers and informs how to mitigate the range of potential harms caused by disruptive mobilities.

From software defined to AI defined, the next vehicular evolution

This is from Tom Tom’s blog. “The automotive world doesn’t slow down. The technology shaping and driving the industry is ushering evolution after evolution. Vehicle software is levelling up, bringing us cars with machine learning, end-to-end perception models and more intelligent in-cabin technology. This is the dawn of the AI-defined vehicle.”

Digital curb management may be more a vision than a reality

“Streets’ many users, their large amount of potential data and the complexity of standing up digital curb systems can pose challenges. A digital map or street inventory can be a first step for local government.”