Communication and sharing of knowledge is key for sound decision-making. The Resources section brings you the latest developments, materials for continuing the conversation with others, and an in-depth bank of research on emerging technologies and their impacts.
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Our curated collection of helpful articles, reports and other resources—each including summaries, key takeaways, and searchable tags.
Database search is coming soon. In the meantime, use the following categories to explore the database resources:
The Urbanism Next Framework
The Urbanism Next Framework organizes the potential impacts of emerging technologies into five categories and five types of broader implications.
Fact sheets, slides, and reports
How much shared scooter parking is needed to meet demand and reduce noncompliant parking? Drawing on Lime data from a dozen cities in the US and Europe, this report provides three key planning and policy recommendations for cities to consider as they work to integrate scooters into the overall transportation system:
While autonomous vehicles are still experimental and nascent in many corners of the U.S., the same kind of unguided tectonic shift seen with the introduction of the automobile nearly a century ago is possible. Autonomous Vehicles: A Guidebook for Cities was created in response to cities seeking to manage and influence autonomous vehicle (AV) pilots and deployments happening on their streets, as well as cities trying to prepare for these pilots. The Guidebook offers considerations, tools, and examples of various ways to manage effectively autonomous vehicle deployments.
This report looks at the potential impacts autonomous vehicle deployment could have on parking demand and how that might impact urban development. The study focused on three distinct areas of San Francisco. The research found that, contrary to headlines about AV impacts on parking, achieving large reductions in parking demand based on AV deployment will not be easy. To achieve significant parking reductions, AVs would need to be shared (not privately owned), pooled (riders willing to pick up other passengers along the way), have widespread geographic deployment (across entire metropolitan areas), and would need to complement high-capacity transit. Without all or most of these factors, parking demand may only by marginally impacted by AV deployment. The study also found that if parking demand could be reduced, different areas of the city would see quite different results. While many areas in San Francisco would see minimal development impacts as parking is not currently a significant driver or limiter of development, more auto-dominated areas could see substantial impacts if parking demand could be reduced by more than 40%. This raises interesting questions of how these levels of parking demand reduction might impact more auto-dominated and suburban areas throughout the country. This research was funded by Waymo.
When the COVID-19 pandemic first swept across North America and led to emergency shutdowns during the Spring of 2020, the way people acquired food and household necessities was dramatically impacted. As stay-at-home orders minimized personal travel, transit services were reduced and many stores and restaurants either closed or modified their operations. Some of the gaps were able to be filled by online retailers and delivery services. However, access to goods and services varied substantially depending on people’s age, income level, and physical ability. A new multi-university study funded by the National Institute for Transportation and Communities (NITC), the U.S. DOT- funded university transportation headquartered at Portland State University, and the National Science Foundation (NSF) captured how households responded as local, state, and federal governments imposed and lifted restrictions, brick-and-mortar establishments closed and reopened, and e-commerce and delivery services adjusted to the changing conditions.
Pilots
While autonomous vehicles are still experimental and nascent in many corners of the U.S., the same kind of unguided tectonic shift seen with the introduction of the automobile nearly a century ago is possible. Autonomous Vehicles: A Guidebook for Cities was created in response to cities seeking to manage and influence autonomous vehicle (AV) pilots and deployments happening on their streets, as well as cities trying to prepare for these pilots. The Guidebook offers considerations, tools, and examples of various ways to manage effectively autonomous vehicle deployments.
In 2020, the microtransit company. “Via” partnered with Jersey City to provide on-demand car rides to underserved communities whose mass public transit routes had been canceled due to low ridership during the 2020 Covid-19 pandemic. The company aims to complement existing transit which operates comprehensively and frequently in the central areas of Jersey City. Via offers rides outside of this well-served district but not within to minimize competition with public transit. The same company launched in Arlington, Texas in 2017. Arlington, which was the largest city in America without a public transit system, opted to contract Via to provide an alternative transportation mode to driving in a personal vehicle. The on-demand service offers point-to-point rides within Arlington and connections to intercity train stations to Dallas-Fort Worth.
Whim is an app service that consolidates transportation services into a monthly subscription. The app includes access to taxis, public transportation, and rental cars. The app's goal is to reduce vehicle ownership by offering convenient access to multiple alternatives.
Tools have been organized in collaboration with
Tools
COVID Mobility Works is an independent platform dedicated to collecting, synthesizing and sharing mobility initiatives that are keeping the world moving during the COVID-19 pandemic. The goal of this platform is to help policymakers, innovators, researchers and advocates rise to the challenge of creating more resilient, inclusive, and sustainable transportation systems for all.
Urbano has been developed by Cornell University and other organizations. This software has some special features like download geospatial data, import and aggregate data, lookup and modify metadata, routing in different modes, analyze amenities and streets, integrated cad workflow, etc. Also, is useful to quantify urban parameters like amenity demand, streetscore, amenityscore and walkscore. It has a friendly interface to visualize different urban planning parameters.
Make pedestrian ways, particularly sidewalks, first class members of an open data transportation network. The OpenStreetMap (OSM) project has made available extensive, user-contributed open data on transportation networks, providing the basis for many use cases and downstream activities, including rich analytics, travel route optimization, city planning, and disaster relief. Sidewalks in the built environment have generally been treated an addendum to streets, failing to serve people with limited mobility.
Featured
How much shared scooter parking is needed to meet demand and reduce noncompliant parking? Drawing on Lime data from a dozen cities in the US and Europe, this report provides three key planning and policy recommendations for cities to consider as they work to integrate scooters into the overall transportation system:
While autonomous vehicles are still experimental and nascent in many corners of the U.S., the same kind of unguided tectonic shift seen with the introduction of the automobile nearly a century ago is possible. Autonomous Vehicles: A Guidebook for Cities was created in response to cities seeking to manage and influence autonomous vehicle (AV) pilots and deployments happening on their streets, as well as cities trying to prepare for these pilots. The Guidebook offers considerations, tools, and examples of various ways to manage effectively autonomous vehicle deployments.
This report looks at the potential impacts autonomous vehicle deployment could have on parking demand and how that might impact urban development. The study focused on three distinct areas of San Francisco. The research found that, contrary to headlines about AV impacts on parking, achieving large reductions in parking demand based on AV deployment will not be easy. To achieve significant parking reductions, AVs would need to be shared (not privately owned), pooled (riders willing to pick up other passengers along the way), have widespread geographic deployment (across entire metropolitan areas), and would need to complement high-capacity transit. Without all or most of these factors, parking demand may only by marginally impacted by AV deployment. The study also found that if parking demand could be reduced, different areas of the city would see quite different results. While many areas in San Francisco would see minimal development impacts as parking is not currently a significant driver or limiter of development, more auto-dominated areas could see substantial impacts if parking demand could be reduced by more than 40%. This raises interesting questions of how these levels of parking demand reduction might impact more auto-dominated and suburban areas throughout the country. This research was funded by Waymo.
Newest additions
Join us for the 2024 Urbanism Next Europe Conference! We are excited to further explore the impacts emerging technologies are having and will continue to have on cities, regions and communities. During this event, we will focus on the Urbanism Next Framework and the major themes of understanding the impacts of shared and on-demand mobility technologies, the continued growth of e-commerce and urban delivery, and the anticipated deployment of autonomous vehicles. Have a look at the conference booklet to learn more.
How much shared scooter parking is needed to meet demand and reduce noncompliant parking? Drawing on Lime data from a dozen cities in the US and Europe, this report provides three key planning and policy recommendations for cities to consider as they work to integrate scooters into the overall transportation system:
While autonomous vehicles are still experimental and nascent in many corners of the U.S., the same kind of unguided tectonic shift seen with the introduction of the automobile nearly a century ago is possible. Autonomous Vehicles: A Guidebook for Cities was created in response to cities seeking to manage and influence autonomous vehicle (AV) pilots and deployments happening on their streets, as well as cities trying to prepare for these pilots. The Guidebook offers considerations, tools, and examples of various ways to manage effectively autonomous vehicle deployments.
This report looks at the potential impacts autonomous vehicle deployment could have on parking demand and how that might impact urban development. The study focused on three distinct areas of San Francisco. The research found that, contrary to headlines about AV impacts on parking, achieving large reductions in parking demand based on AV deployment will not be easy. To achieve significant parking reductions, AVs would need to be shared (not privately owned), pooled (riders willing to pick up other passengers along the way), have widespread geographic deployment (across entire metropolitan areas), and would need to complement high-capacity transit. Without all or most of these factors, parking demand may only by marginally impacted by AV deployment. The study also found that if parking demand could be reduced, different areas of the city would see quite different results. While many areas in San Francisco would see minimal development impacts as parking is not currently a significant driver or limiter of development, more auto-dominated areas could see substantial impacts if parking demand could be reduced by more than 40%. This raises interesting questions of how these levels of parking demand reduction might impact more auto-dominated and suburban areas throughout the country. This research was funded by Waymo.
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