New mobility

This white paper presents a generalized evaluation framework that can be used for assessing project impacts within the context of transportation-related city projects. In support of this framework, we discuss a selection of metrics and data sources that are needed to evaluate the performance of smart city innovations. We first present a collection of projects and applications from near-term smart city concepts or actual pilot projects underway (i.e., Smart City Challenge, Federal Transit Administration (FTA) Mobility on Demand (MOD) Sandbox, and other pilot projects operating in the regions of Los Angeles, Portland, and San Francisco). These projects are identified and explained in Section 2 of this report. Using these projects as the basis for hypothetical case studies, we present selected metrics that would be necessary to evaluate and monitor the performance of such innovations over time. We then identify the data needs to compute those metrics and further highlight the gaps in known data resources that should be covered to enable their computation. The objective of this effort is to help guide future city planners, policy makers, and practitioners in understanding the design of key metrics 3 and data needs at the outset of a project to better facilitate the establishment of rigorous and thoughtful data collection requirements.

Autonomous vehicles use sensing and communication technologies to navigate safely and efficiently with little or no input from the driver. These driverless technologies will create an unprecedented revolution in how people move, and policymakers will need appropriate tools to plan for and analyze the large impacts of novel navigation systems. In this paper we derive semi-parametric estimates of the willingness to pay for automation. We use data from a nationwide online panel of 1,260 individuals who answered a vehicle-purchase discrete choice experiment focused on energy efficiency and autonomous features. Several models were estimated with the choice micro-data, including a conditional logit with deterministic consumer heterogeneity, a parametric random parameter logit, and a semi-parametric random parameter logit.

This report summarizes findings from a three-year collaboration between the World Economic Forum and The Boston Consulting Group (BCG) to explore how autonomous vehicles could reshape the future of urban mobility. The project built on the collective insights generated from the Autonomous and Urban Mobility Working Group (Working Group) of the System Initiative on Shaping the Future of Mobility, composed of roughly 35 business executives from diverse industries (including automotive, technology, logistics, insurance, utilities and infrastructure) that convened for 10 full-day workshops and numerous conference calls.

The development of self-driving, or autonomous, vehicles is accelerating. Here’s how they could affect consumers and companies.

This article is about the development of microtransit. It suggests that microtransit can be the answer to underused, oversized public buses. And the technology such as routing software can improve the services as well.

This report by KPMG discusses how the new market will look like for autonomous future. It talks about transportation market, new customer demand, change of economic models, trip mission, and other market changes.

Depending on how you look view transportation, bikes and scooters are the key to future, clean urban mobility or a sideshow that distracts from maintaining mobility across large metropolis. But the basic problem – the reason we’re having a hyper-emotional discussion about these transportation modes on both sides – is that we’re not framing the issue right.

The next time you need to book an Uber home from Pearson Airport, you won’t need your phone to do so. Toronto’s largest airport has just implemented a new Uber pilot that makes it easier for travellers to get home, as smartphones are no longer needed to book a ride.

Ford and other companies say the industry overestimated the arrival of autonomous vehicles, which still struggle to anticipate what other drivers and pedestrians will do.

As more people make the shift to sustainable mobility options like e-scooters, cities are evolving their transportation infrastructure to combat car dominance and to allow human-scaled modes to thrive. In addition to creating dedicated spaces for people to ride shared micro-mobility devices, this transition also includes creating space for them to park when not in use. To explore how cities should think about parking and micro-mobility, Bird sat down for a conversation with parking expert Donald Shoup.

Alphabet’s self-driving car company Waymo has built the world’s smartest vehicles with access to the world’s best artificial intelligence, but there’s one barrier that it might have underestimated: people.

To help decision-makers understand the impact of AV technology on regional plans, modeling tools should anticipate automated vehicles’ effect on transportation networks and traveler choices.This research uses the Seattle region’s activity based travel model to test a range of travel behavior impacts from AV technology development. The existing model was not originally designed with automated vehicles in mind, so some modifications to the model assumptions are described in areas of roadway capacity, user values of time, and parking costs. Larger structural model changes are not yet considered.

The next big political fight over data privacy may center on an unlikely piece of technology: The scooters currently flying around streets and scattered on sidewalks in cities across the country.

This study looks at the potential for a shift away from curb use focused on street parking to more flexible allocation that includes pick-up and drop-off zones for passengers and freight. It presents the results of quantitative modelling of alternative curb-use scenarios and discusses their relative efficiency, contribution to wider policy objectives and implications on city revenues. The work builds on a workshop held in September 2017, and outreach to numerous experts. It also provides insights from a modeling exercise to quantify the impact of re-allocating curb space from parking to pick up and drop off zones.

This blog post summarizes a larger article written by University of Michigan faculty member Saif Benjaafar's research on smart technology. It specifically focuses on his analysis of ride-sharing companies.

Smart Mobility 2030 ITS strategic Plan for Singapore

The San Francisco County Transportation Authority will test self-driving shuttles on Treasure Island, as well as introduce a toll system from the Bay Bridge to the island.

The fight to be an official provider of electric scooters in Paris is driving firms to dredge discarded vehicles from the River Seine, run apologetic ad campaigns, redesign their models and reshape their workforces.

Autonomous trucking is coming faster than expected—perhaps within five years, according to panelists at the Transportation Research Board’s 96th annual meeting in Washington, D.C.

With an estimated 1,600 bikeshare systems and more than 18 million shared bikes in urban centers worldwide, bikesharing has gone mainstream. On July 16, 2019 users in 24 cities in 16 countries can use Google Maps to both locate bikesharing stations and see exactly how many bikes are available at a station in real-time.

One of the big promises of self-driving vehicles is the idea that autonomous vehicles will liberate people from driving. In this vision of the future, passengers will scan news reports on phones and tablets, pour-over notes and briefings for important meetings, and view videos on their handheld devices. They will reclaim the hours once wasted clinging to a steering wheel. Unless they end up developing a headache or becoming dizzy, drowsy, or nauseated.

Autonomous vehicles (AVs) represent a potentially disruptive yet beneficial change to our transportation system. This new technology has the potential to impact vehicle safety, congestion, and travel behavior. All told, major social AV impacts in the form of crash savings, travel time reduction, fuel efficiency and parking benefits are estimated to approach $2000 to per year per AV, and may eventually approach nearly $4000 when comprehensive crash costs are accounted for. Yet barriers to implementation and mass-market penetration remain. Initial costs will likely be unaffordable. Licensing and testing standards in the U.S. are being developed at the state level, rather than nationally, which may lead to inconsistencies across states. Liability details remain undefined, security concerns linger, and without new privacy standards, a default lack of privacy for personal travel may become the norm. The impacts and interactions with other components of the transportation system, as well as implementation details, remain uncertain. To address these concerns, the federal government should expand research in these areas and create a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy.

In recent years, economic, environmental, and social forces have quickly given rise to the “sharing economy,” a collective of entrepreneurs and consumers leveraging technology to share resources, save money, and generate capital. Homesharing services, such as Airbnb, and peer-to-peer carsharing services, such as Getaround, have become part of a sociodemographic trend that has pushed the sharing economy from the fringe and more to the mainstream. The role of shared mobility in the broader landscape of urban mobility has become a frequent topic of discussion. Major shared transportation modes—such as bikesharing, carsharing, ridesourcing, and alternative transit services—are changing how people travel and are having a transformative effect on mobility and local planning.

This report is the culmination of the Connected Mobility Initiative launched by the New Cities Foundation in June 2015. "The primary aim of the initiative is to explore the triple convergence of “mobility” — physical, digital, and socio economic — and to propose strategies and steps of this transformation while ameliorating its potentially corrosive effects on public institutions. To this end, the report is split between brief policies of four cities Washington, D.C., London, Sao Paulo, and Manila — facing challenges representative of their respective peers, along with a list of near-, mid-, and long-term recommendations for transport authorities to aid them in their transformations.

Google Maps will show users where a Lime vehicle is available, how long it will take to walk there, a price estimate as well as battery range.

"Cruise, the startup General Motors acquired to develop its self-driving car, will launch an autonomous taxi service on the gnarly, crowded streets of San Francisco," CEO Dan Ammann said Wednesday. It will not, however, do so by the end of this year, the deadline it set for itself in 2017. Instead, Cruise will spend the rest of 2019 expanding its tests across the city and working on the less technical aspects of running such a service, from charging its electric cars to working with regulators to soothing a public that may be wary of robots roaming the roads.

Segway-Ninebot Group, a Beijing-based electric scooter maker, "unveiled a scooter that can return itself to charging stations without a driver, a potential boon for the burgeoning scooter-sharing industry.

We review the history, current developments, projected future trends and environmental impacts of automated vehicles (AVs) and on-demand mobility, and explore potential synergies. Many automobile manufacturers and Google plan to release AVs between 2017 and 2020, with potential benefits including increased safety, more efficient road use, increased driver productivity and energy savings. Combining on-demand mobility and AVs may amplify adoption of both, and further lower energy use and GHG emissions through the use of small, efficient shared AVs.

The introduction of fully autonomous vehicles will constitute perhaps the largest change to everyday transportation in living memory and is predicted to deliver a wide range of environmental, social and economic benefits. However, the route to full automation is also likely to involve significant challenges, with public attitudes playing an important role in determining the level of success with which the technology is introduced. This report outlines the results of a survey of 233 people measuring current attitudes to autonomous vehicles.