Author: Rob Goodspeed

New book forthcoming: ‘Scenario Planning for Cities and Regions: Managing and Envisioning Uncertain Futures’

Over the past couple years I have been hard at work on a book about how cities are planning their long-term futures using a methodology known as scenario planning. The book now has a publication date–April 1, 2020–and is now available for pre-order from Amazon.com and Columbia University Press (through a partnership with the book’s […]

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New Article: ‘An alternative to slow transit, drunk driving, and walking in bad weather: An exploratory study of ridesourcing mode choice and demand’

Based on the number of vehicles with Uber and Lyft stickers on them I’ve seen around Ann Arbor, it’s obvious that ridesourcing (or ridesharing) has become a significant transportation mode even in small cities. But given the difficulty of obtaining data from these companies, how can we study this important new phenomenon? I decided to […]

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New Article: ‘Participatory E-Planning With Civic Crowdfunding: Donor Background, Involvement, and Social Capital Outcomes’

This open access article, in the International Journal of E-Planning Research, features case data I collected from ten civic crowdfunding projects on the IOBY and Patronicity platforms. Here is the abstract: Civic crowdfunding, or recruiting participants and collecting financial donations online for local development projects with public benefits, is an increasingly popular method for participatory […]

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New Article: ‘Analyzing stakeholder’s perceptions of uncertainty to advance collaborative sustainability science’

Over the past year, I have been collaborating with the Graham Sustainability Institute’s Water Center on qualitative research focused on improving the quality and relevance of analysis conducted as part of their project “Watershed Assessment of Detroit River Nutrient Loads to Lake Erie.” This project seeks to better understand the causes of harmful algal blooms in […]

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New Article: ‘User acceptance of location-tracking technologies in health research: Implications for study design and data quality’

In the past several years I have been a participant in an exciting project to apply big data methods to the problem of neighborhood-scale health disparaties. In March, one of the methodological papers arising from this project was published, focused on our experiments using GPS devices to track the location of study participants. Here is […]

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