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Modal race between different freight transport modes, which must include at least one cargo bike or trike. An origin, destination, time of the day and cargo weight are set. Each participant loads the cargo and starts travelling at the same time. Each one must carry a chronometer and there will be independent supervisors timing the participants as well. When arriving at the set destination, travel time is recorded for each participant and compared. Modelling costs, pollutant and GHG emissions, as well as predicted travel time, is useful to show additional benefits of using micromobility for freight transport. Using mobile apps to show positions in real time and streaming can also help the activity be more engaging and attractive.
"This paper will address current progress and direction for autonomous vehicles, what this could mean for the future of transport and the possible analytical approaches to addressing these impacts."
With the rapid growth of ride-hailing services, e-commerce and on-demand deliveries, demand for curb space has increased in urban areas.
This report examines how TNCs contributed to increased roadway congestion in San Francisco between 2010 and 2016 relative to other factors such as population and employment growth, and transportation system changes.
This article intends to inform policymakers of the potential effects of autonomous vehicles on road traffic congestion.
This paper explores the impacts of AVs on car trips using a case study of Victoria, Australia, specifically studying the potential increase in new trips and trip diversions from other modes such as public transport.
While consumers have been making more sustainable choices in the physical retail environment, these habits have not translated as well into the digital shopping environment.
Transportation network companies like Uber and Lyft came onto the market with the mission to reduce congestion in cities, however data from major cities around the U.S. shows that they may be having the opposite impact on congestion and public transportation.
Ride-hailing services like Uber and Lyft are changing the way that people move around cities, affecting transit use, active transportation and congestion. Due to the rapid rise in popularity and lack of available data, city and transportation planners have been limited in their ability to make long-term decisions about transportation infrastructure.
Uber is developing an aerial taxi and looking to partner with cities who will allow testing of its upcoming all-electric vehicles.
Uber is working on a plan to launch an urban air taxi service and has just joined with California-based aerospace company Joby Aviation.
This article questions the common assumptions that delivery drones would be more efficient, cost less and be better for the environment.
Across the U.S. growing eCommerce is resulting in increasing deliveries, most of which are inefficient and negatively affect the community. This report is the first in a series that analyzes the opportunities, challenges, and innovations related to eCommerce delivery.
This resource includes a comprehensive overview of several types of shared mobility. The key modes reviewed include: car sharing, peer-to-peer carsharing, bike sharing, carpooling/ride sharing, and ride hailing.
This article examines the potential effects of driving on health and well-being.
This article examines the relationship between urban form and vehicle miles travelled, especially as it relates to last mile goods delivery and greenhouse gas emissions.
This resource examines how new technologies in AVs will affect traffic behavior, and how these new behaviors will impact congestion, capacity, and efficiency of road networks.
A New York State judge dismissed a New York City rule that would limit transportation network companies' drivers could cruise without passengers. The rule was aimed at reducing congestion and approved by the New York City Taxi and Limousine Commission. Uber and Lyft filed separate lawsuits against the rule in September of 2019.
Despite a growing economy, there has been a decrease in the average miles driven due in part to alternate modes of transportation and more opportunities to work and shop remotely.
"A New York judge has struck down a proposal to limit the time Uber and Lyft drivers can cruise around Manhattan without carrying riders."
The town of Innisfil in Ontario, Canada has partnered with Uber in place of public transit. Low density development drove the town to choose subsidizing Uber over creating a public transit system due to the perceived cost of both. However, the amount Innisfil spent subsidizing Uber rides has already exceeded the amount they estimated it would cost to create a public transit system. Experts question the partnership, citing environmental and economic problems.
This article breaks down the varying types of ride sharing services in China and details their differing business models and levels of success.
Automation of personal and transit vehicles will change the vehicles themselves, but also the right-of-way that governs their use. These changes bring an opportunity to improve transit systems. High capacity transit must become a more attractive mode of transit in order to remain competitive with personal and shared vehicles.
Portland announced an expansion of its Transportation wallet, now offering the pass to people who live or work in the NW parking district. The pass is intended to encourage walking, taking transit, and bicycling, and to address parking demand and congestion in dense areas of Portland.
Online shopping is making congestion worse by adding endless delivery trucks to cities that are not designed to handle the rising number of daily deliveries.
According to the U.S. Census, the average American spends about 26 minutes commuting each direction to work.
The City of Summit, New Jersey partnered with Lyft to reduce commuter need for parking within the city. This partnership expands on a previous partnership with Uber, extending the program for one year. The goal of the partnership is to provide greater flexibility for residents and reduce municipal lot congestion.
The development of automated vehicles is moving into the deployment phase. Automation is being tested in vehicles as well as buses, trains, trucks, and tractors. Some initial deployment could occur in Oregon in the form of pilot programs for a low-speed passenger shuttle and a truck-mounted attenuator. This guide focuses on potential impacts for the next five to fifteen years and discusses policy implications for each use case of automated vehicles.
INRIX created a global traffic scorecard that analyzes congestion and mobility trends in 200 cities, across 38 countries. They created a cross-national ranking and analysis that provides insights for drivers and policymakers to help them make decisions based on big data.
This article is a literature review of the definition and effects of urban sprawl for the purpose of implementing planning policies that discourage sprawl.
The National Highway Traffic Safety Administration outlines the progression of automated vehicle technology and the ways it will improve safety. The NHTSA released safety guidelines for industry, states, and policymakers in 2017 (Automated Driving Systems: A Vision for Safety), and an expanded set of guidelines in 2018 (Preparing for the Future of Transportation: Automated Vehicles 3.0). Both documents are linked in the NHTSA in Action section at the end of this report.
“New York City will be the first city in the US to charge motorists extra to enter the busiest areas, after the state agreed to a congestion pricing plan as part of its fiscal year 2020 budget.”
This is a fact sheet suitable for use as a printed handout on Urbanism Next's topline research findings regarding TNCs.
The purpose of this report is to analyze potential impacts and offer recommendations for the cities of Gresham and Eugene, OR, to understand the potential impacts of new mobility technologies – with an emphasis on autonomous vehicles (AVs) – and prepare a policy and programmatic response. While Gresham and Eugene are case studies, it provides mid-sized communities information on how new mobility services could impact their communities and what they can do about it, from broad strategies to specific policy responses. While this work focuses on the various new mobility and goods delivery services that currently exist, the framework that is discussed here is also applicable to emerging technologies that haven’t yet been introduced, such as autonomous vehicles (AVs).
The invention of the internet introduced a new typology to the marketplace, the online retailer. Omnichannel retail strategies - where a retailer operates through both physical locations and online sales - have become a necessity in today’s market.
This purpose of this report is to help the cities of Gresham, Oregon and Eugene, Oregon understand the potential impacts of new mobility technologies – with an emphasis on autonomous vehicles (AVs) – and prepare a policy response. While Gresham and Eugene are case studies, it provides communities of all sizes information on how new mobility services could impact their communities and what they can do about it, from broad strategies to specific policy responses. While this work focuses on the various new mobility and goods delivery services that currently exist, the framework that is discussed here is also applicable to emerging technologies that haven’t yet been introduced, such as AVs.
Unregulated commuter shuttles in San Francisco created safety and congestion issues while loading and unloading passengers. To directly address these problems, the San Francisco Municipal Transportation Agency created the Commuter Shuttle Pilot Program, a program that enabled eligible commuter shuttles to load and unload passengers at curb zones originally intended for Muni buses. This report evaluates the impacts of the 18-month pilot program which began in January 2014.
This article describes the changing driving landscape in New York City. The city is making efforts to return the streets to the people and also optimize public transportation options. The pushback is steep again the community where the traffic is being pushed as well as with the business owners.
Continuous and dynamic growth in demand for road transport, especially in developing countries, causes increase of greenhouse gases (GHG) emissions. At the same time the emissions of toxic components of exhaust gases harmful to human health and the environment enhance – particulate matter, nitrogen oxides, carbon monoxide and others. In particular, GHG emission and increase their concentration in the atmosphere, where road transport is the largest issuer in the transport sector, become one of the most important global problems. So far actions towards reducing energy consumption and emissions have not caused a decrease in global emissions. The aim of authors of this paper is to analyze the potential for AV to reduce GHG emissions from road transport. The analysis includes not only technical and technological issues, but also organizational and in the management of transport demand.
Currently, little planning is being done to prepare for driverless technology. Actors at multiple levels, however, have tools at their disposal to help ensure that new technology does not come at the expense of the nation’s remaining natural habitats. This Article advocates for a shift in paradigm from policies that are merely anti-car to those that are pro-density, and provides suggestions for both cities and suburban areas for how harness the positive aspects of driverless cars while trying to stem the negative. Planning for density regardless of technology will help to ensure that, for the world of the future, there is actually a world.
This Blueprint outlines a vision for cities in a future where automated transportation is both accepted and widespread as part of the built environment. It is a human oriented vision for the potential of city streets, intersections, and networks-one in which automation can serve the goals of safety, equity, public health, and sustainability.
After 17 cyclists die after being hit on the roads in the first half of the year, the city decides to take major steps to improve bicycle safety.
Inclusive of manufacturing, transportation to the US, and the use phase, this study looks at the environmental impact of e-scooters compared to the use of alternative modes of transportation.
The presentation given to the city council goes over the potential the future of the City of Vancouver has to offer and what the next steps may be.
This report combines recently published research and newly available data from a national travel survey and other sources to create the first detailed profile of TNC ridership, users and usage. The report then discusses how TNC and microtransit services can benefit urban transportation, how policy makers can respond to traffic and transit impacts, and the implications of current experience for planning and implementation of shared autonomous vehicles in major American cities.
Seattle City Council passes in a 7 to 1 vote a plan for large parking reforms including separating parking costs from rent and increasing bike parking requirements.
"In this paper we propose a new method to study how replacing privately owned conventional vehicles with automated ones affects traffic delays and parking demand in a city. The model solves what we designate as the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP), which dynamically assigns family trips in their automated vehicles in an urban road network from a user equilibrium perspective where, in equilibrium, households with similar trips should have similar transport costs.
The survey results described here provide a new window into ride-hailing utilization in the Boston Region. Our findings confirm many widespread assumptions about ride-hailing, but also provide new insights into previously unexplored and unmeasured topics. Ride-hailing is used by a wide variety of Metro Boston residents, and riders are relatively representative of the region in terms of race and income.
This report examines the impact of TNC growth on traffic conditions in the Manhattan Central Business District (CBD), defined as 60 Street to the Battery, river to river. Using newly available data on TNC trips, the report presents a more detailed analysis of CBD traffic conditions than has been possible previously, isolating the impact of TNC growth in the Manhattan CBD during the most congested part of the day -- weekdays between 8 a.m. and 7 p.m.
The Atlanta Regional Commission (ARC) has, through scenario planning, already begun to consider the effects that emerging technologies such as AVs and accelerated broadband might have on travel patterns. This report moves another step forward. It identifies and explores transportation technology trends, their potential impacts, and their policy implications, both generally and those specific to the Atlanta region. The result is intended to help support the Atlanta region in developing a regional transportation technology program to prepare for and take advantage of technology innovations in support of the region’s goals.
This report presents findings from a detailed analysis of the growth of app-based ride services in New York City, their impacts on traffic, travel patterns and vehicle mileage since 2013, and implications for policy makers. The analysis utilizes trip and mileage data that are uniquely available in New York City, providing a detailed and comprehensive look at the expansion of app-based ride services and their impact on critical City goals for mobility, economic growth and environmental sustainability.
It is no secret that transit systems are chronically short in funding and increases to their budgets are tough to nail down. This article describes the common way that this funding is being sourced and why it may not be the best way.
The Seattle Department of Transportation is currently conducting a study to determine how best to implement congestion pricing equitably. The article mentions other cities as cases and scholars' suggestion to discuss how to make congestion pricing more equitable.
Urban Mobility in a Digital Age is a transportation technology strategy designed to build on the success and innovation of the City of Los Angeles and its Department of Transportation (LADOT) as regulator and transportation service provider in a complex and evolving ecosystem of public and private services.
This year’s report builds on that same contextual foundation with updated travel trend charts and speed maps. Since 2015, the number of residents, jobs, and annual tourists have continued to grow. Even as the City encourages and facilitates the use of high performance modes, we recognize that the demands on our ?nite street network are only growing and our roadways are frequently functioning at capacity.
This work describes the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use. Preliminary results indicate that each SAV can replace around eleven conventional vehicles, but adds up to 10% more travel distance than comparable non-SAV trips, resulting in overall beneficial emissions impacts, once fleet-efficiency changes and embodied versus in-use emissions are assessed.
This article summarizes the history of how Level of Service (LOS) became tied to the California Environmental Quality Act (CEQA) and the motivations for the current shift away from LOS toward Vehicles Miles Traveled (VMT) as an environmental review point for new construction projects.
Lawyers of a luxury condo in New York City have been brought into the debate surrounding the construction of a new bike lane that over took city parking in front of the condos.
As public transit stagnates in most U.S. cities, central Seattle continued its rapid growth by adding roughly 10,000 morning transit commuters last year, new local data show.
Focus on emissions and energy efficiency has long been focused on vehicles and improving their efficiency. This article discusses the option that hasn't been utilized as much by policy markers, to just limit the amount people drive.
Connected and fully automated or autonomous vehicles (CAVs) are becoming increasingly viable 23 as a technology and may soon dominate the automotive industry. Once CAVs are sufficiently 24 reliable and affordable, they will gain greater market penetration, generating significant economic 25 ripple effects throughout many industries. This paper synthesizes and expands upon analysis from 26 multiple reports on the economic effects of CAVs across 13 different industries and the overall 27 economy.
"AVs are already being road tested in several states and will be available for sale within five to ten years. They promise to make automobile travel safer and more efficient, and to dramatically change transportation planning and engineering. This paper assesses the most likely effect of AVs on traffic generation and highway capacity and congestion over time as AVs come to represent a greater percentage of the vehicles on the road."
The author presents his view of limitations of prediction and how it apply to transportation prediction such as ridership prediction. He describes the concepts for planning the future (with time and space) that always emphasize the freedom as the goal.
This paper describes research undertaken to establish plausible fuel-speed curves (FSC) for hypothetical advanced powertrain vehicles. These FSC are needed to account for the effects of congestion in long-term transportation scenario analysis considering fuel consumption and emissions. The results presented in this paper will assist analysis of the roles that vehicle technology and congestion mitigation can play in reducing fuel consumption and emissions from roadway travel.
"Ride-sharing services are transforming urban mobility by providing timely and convenient transportation to anybody, anywhere, and anytime. These services present enormous potential for positive societal impacts with respect to pollution, energy consumption, congestion, etc."
"This report examines the changes that might result from the large-scale uptake of a shared and self-driving fleet of vehicles in a mid-sized European city. The study explores two different self-driving vehicle concepts, for which we have coined the terms 'TaxiBot' and 'AutoVot'. TaxiBots are self-driving cars that can be shared simultaneously by several passengers. AutoVots pick-up and drop-off single passengers sequentially. We had two premises for this study: First, the urban mobility system upgrade with a fleet of TaxiBots and AutoVots should deliver the same trips as today in terms of origin, destination and timing. Second, it should also replace all car and bus trips. The report looks at impacts on car fleet size, volume of travel and parking requirements over two different time scales: a 24-hour average and for peak hours only."
This chapter is intended for the reader who wants to understand what vehicle automation is, its main research questions, and what are its main implications. We also provide guidance on the methods that have been used or could be used to assess its impacts, hence allowing future research on this topic.
This article discusses the changes that will be necessary once AVs hit our streets. The changes in insurance policies, jobs, land use, etc. will change our societal norms.
Upon the roll-out of AVs into our streets, the importance of public and private sector partnerships are emphasized. With increased mobility, the demand for private rides could be increased and therefore increase congestion in our streets.
Trikes can be a major competitor in the CDB delivery market as it can navigate bike lanes and be parked more freely.
"This document is for city administrations, national policy makers, and anyone considering a move to employ cycle logistics. It outlines the major learning points and success factors, and sets out nine recommendations for the most successful implementation. The project demonstrated that e-bikes were popular, efficient, reliable and – above all – saved money compared to the motorized alternative. Most of the participants were so impressed, they are continuing or expanding their use of e-bikes, after the project end-point."
"The aim of this paper is to show how TNCs could replace public transportation in the United States if subsidized at the same level of transit agencies."
This whitepaper helps to stimulate debate over the proper way to introduce autonomous vehicles into society, with a hope that it leads to greater collaboration among all stakeholders about how to tackle the issue of congestion in autonomous future.
This University of Washington (UW) study focuses on a strategy to manage TNC driver stops when picking up and dropping off passengers with the aim of improving traffic flow in the South Lake Union (SLU) area. SLU is the site of the main campus for Amazon, the online retail company. The site is known to generate a large number of TNC trips, and Amazon reports high rates of ride-hailing use for employee commutes. This study also found that vehicle picking-up/dropping-off passengers make up a significant share of total vehicle activity in SLU. The center city neighborhood is characterized by multiple construction sites, slow speed limits (25 mph) and heavy vehicle and pedestrian traffic.
Traffic at the airports—even before you get inside—has gotten worse. The cause is not just the record number of travelers. It’s also the shift to ride sharing.
When ride-hailing services stormed into cities in the 2010s they offered a grand utopian promise: By tapping into America’s vast reservoir of idle vehicles, on-demand, app-based rides would reduce the need for personal car ownership and ultimately remove cars from the road. But now, less than a decade into this experiment, the industry is ‘fessing up. The ride-hailing giants released a joint analysis showing that their vehicles are responsible for significant portions of VMT in six major urban centers. Still, Uber and Lyft’s combined share is still vastly outstripped by personal vehicles.
New York City’s cap on the number of for-hire vehicles that can operate on its streets will continue—and a new provision will, in theory, limit the amount of time FHVs can spend idling without passengers.
Public transit accounts for only 1% of U.S. passenger miles traveled but nevertheless attracts strong public support. Using a simple choice model, we predict that transit riders are likely to be individuals who commute along routes with the most severe roadway delays. These individuals’ choices thus have very high marginal impacts on congestion. We test this prediction with data from a sudden strike in 2003 by Los Angeles transit workers. Estimating a regression discontinuity design, we find that average highway delay increases 47% when transit service ceases. This effect is consistent with our model’s predictions and many times larger than earlier estimates, which have generally concluded that public transit provides minimal congestion relief. We find that the net benefits of transit systems appear to be much larger than previously believed.
This paper is focused on the analysis of the four Italian pilots, three in Genoa and one in Milan, highlighting the peculiarities of each one and investigating the data collected in the 12 months test. Each pilot represents a specific and well defined case study. The data used for the elaboration of this paper have been collected by pilot companies and, for the Italian pilots, elaborated by Poliedra – Politecnico di Milano.
This report talks about the development AV technology and its implication for low and legislative activity. It also focuses on the standards and regulations for AV technology, liability issues and provide guidance for policymakers.
Shared micromobility devices could thrive in a city like New York where individuals are encouraged to get out of their cars due to impending congestion pricing tolls and an expansion of protected bike lanes, according to the report. But biker and pedestrian safety remain a major issue in U.S. cities. Therefore, the most effective way to get people to use micromobility devices is to make them easy and safe to use, INRIX Transportation Analyst Trevor Reed told Smart Cities Dive in an email.
Meow Wolf started as a loose group of penniless punks coming together as an art collective. Now it’s a multimillion-dollar dream factory thriving in creating installations for the experience economy.
As more states and cities consider taxes on TNC services, policymakers should be cautious and thoughtful about how their decisions affect transportation behavior. As services like TNCs proliferate around the globe, it is important to understand what these fees are, what purpose they intend to serve, and how they fit into broader metropolitan transportation policies.
The purpose of this report is to provide information on TNC activity in San Francisco, in order to help the San Francisco County Transportation Authority (Transportation Authority) fulfill its role as the Congestion Management Agency for San Francisco County. The report is also intended to inform the Transportation Authority board which is comprised of the members of the San Francisco Board of Supervisors, as well as state and local policy-makers in other arenas, and the general public, on the size, location and time-of-day characteristics of the TNC market in San Francisco.
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.
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.
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.
One of the more confusing words frequently associated with robocars (and all discussion of the future of transportation) is "shared." Unfortunately, this means two very different things, with quite different consequences.
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.
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.
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