The Rise of Mobility As a Service Reshaping How Urbanites Get Around
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Brian Mcmahon Chad Roberts, Roxanne Sands, James A
RAMSEY COUNTY “Abide with Me” Grace Craig Stork, 1916 Rebecca A. Ebnet-Mavencamp —Page 10 HıstoryA Publication of the Ramsey County Historical Society Fall 2016 Volume 51, Number 3 A Workplace Accident John Anderson’s Fall from the High Bridge John T. Sielaff, page 3 Towering above the Mississippi River flood plain, St. Paul’s Smith Avenue High Bridge, seen here in a 1905 postcard, connected the city’s oldest residential neighborhood, West Seventh Street, with its newest at the time, Cherokee Heights, or the Upper West Side. John Anderson, a painter working on the bridge in 1902, fell and survived the accident. His story tells us much about the dangers in the workplace then and now. Photo by the Detroit Photographic Company, courtesy of the Minnesota Historical Society. RAMSEY COUNTY HISTORY RAMSEY COUNTY President Chad Roberts Founding Editor (1964–2006) Virginia Brainard Kunz Editor Hıstory John M. Lindley Volume 51, Number 3 Fall 2016 RAMSEY COUNTY HISTORICAL SOCIETY THE MISSION STATEMENT OF THE RAMSEY COUNTY HISTORICAL SOCIETY BOARD OF DIRECTORS ADOPTED BY THE BOARD OF DIRECTORS ON JANUARY 25, 2016: James Miller Preserving our past, informing our present, inspiring our future Chair Jo Anne Driscoll First Vice Chair Carl Kuhrmeyer C O N T E N T S Second Vice Chair Susan McNeely 3 A Workplace Accident Secretary Kenneth H. Johnson John Anderson’s Fall from the High Bridge Treasurer John T. Sielaff William B. Frels Immediate Past Chair 10 “Abide with Me” Anne Cowie, Cheryl Dickson, Mari Oyanagi Grace Craig Stork, 1916 Eggum, Thomas Fabel, Martin Fallon, Rebecca A. -
Post-Pandemic Reflections: Future Mobility COVID-19’S Potential Impact on the New Mobility Ecosystem
THEMATIC INSIGHTS Post-Pandemic Reflections: Future Mobility COVID-19’s potential impact on the new mobility ecosystem msci.com msci.com 1 Contents 04 Mobility-as-a-Service and the COVID-19 shock 06 Growing Pains in the Future Mobility Market 16 Mobility Services: Expansion and Acceleration 18 COVID-19: A Catalyst for Autonomous Delivery? 2 msci.com msci.com 3 Future Mobility A growing database collated by Neckermann Strategic Advisors has over Mobility-as- 700 public and private companies involved with different elements of the autonomous Mobility-as-a-Service (MaaS) value chain. a-Service A list that doesn’t yet include all the producers of electric, two-wheeled and public transport that contribute to the full and the mobility ecosystem. In the 1910s, the automotive industry was COVID-19 shock vast, and the rising tide was lifting every boat, albeit not profitably. However, by the time the Roaring Twenties came to an end in Even prior to the COVID-19 crisis, we discussed in our first Thematic 1929, the number of US auto manufacturers Insight1 how the world might be in the midst of the largest transformation had already fallen to 44, only to consolidate in mobility since the advent of the automobile some 120 years ago. Will much further after the Great Depression. the current pandemic prove to be a system shock that accelerates the It is, of course, tempting to see a parallel demise of inflexible and unprofitable business models and acts as a to the last five years in mobility. Just prior catalyst for the growth of more digital and service-oriented businesses in to the COVID-19 crisis, there were initial the mobility space? How might industry-wide headwinds affect the new signs of stress in this tapestry of privately- business models and technologies at least in the short-term? funded companies in the Future Mobility New industries naturally go through a series of iterations before becoming ecosystem. -
Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE @ UNC Charlotte) the University of North Carolina at Charlotte 9201 University City Blvd
Center for Advanced Multimodal Mobility Solutions and Education Project ID: 2018 Project 15 INVESTIGATING THE IMPACT OF DIFFERENT ATTRIBUTES ON BICYCLING MODE SHARE AS A MULTIMODAL CONNECTIVITY STRATEGY IN LARGE CITIES: A CASE STUDY IN HOUSTON Final Report by Mehdi Azimi, PhD, PE (ORCID ID: https://orcid.org/0000-0001-5678-032) Assistant Professor, Department of Transportation Studies, Texas Southern University Phone: (713) 313-1293; E-mail: [email protected] Lan Lan (ORCID ID: https://orcid.org/0000-0002-4833-788X) Graduate Research Assistant, Dept. of Transportation Studies, Texas Southern University Phone: (713) 313-5696; E-mail: [email protected] Mohammed Suyedur Luqman Rahman (ORCID ID: https://orcid.org/0000-0002-4274-8557) Graduate Research Assistant, Dept. of Transportation Studies, Texas Southern University Phone: (713) 313-5696; E-mail: [email protected] Yi Qi, PhD (ORCID ID: https://orcid.org/0000-0002-6314-2626) Professor and Chair, Department of Transportation Studies, Texas Southern University Phone: (713) 313-6809; E-mail: [email protected] for Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE @ UNC Charlotte) The University of North Carolina at Charlotte 9201 University City Blvd. Charlotte, NC 28223 September 2019 ii ACKNOWLEDGEMENTS This project was funded by the Center for Advanced Multimodal Mobility Solutions and Education (CAMMSE @ UNC Charlotte), one of the Tier I University Transportation Centers that were selected in this nationwide competition by the Office of the Assistant Secretary for Research and Technology (OST-R), US Department of Transportation (US DOT), under the FAST Act. The authors would like to thank Houston BCycle for providing the ridership data. -
Impacts of Automated Vehicles and Shared Mobility on Transit and Partnership Opportunities
NCHRP Project 20-113F Preparing for Automated Vehicles and Shared Mobility: State-of-the-Research Topical Paper #7 IMPACTS OF AUTOMATED VEHICLES AND SHARED MOBILITY ON TRANSIT AND PARTNERSHIP OPPORTUNITIES September 21, 2020 Transportation Research Board 500 5th Street NW Washington, DC 20001 www.trb.org Prepared by: For: The views expressed in this document are those of the author(s), and are intended to help inform and stimulate discussion. The document is not a report of the National Academies of Sciences, Engineering, and Medicine and has not been subjected to its review procedures. 1 Introduction 1.1. Background In coordination with the National Cooperative Highway Research Program (NCHRP), the TRB Forum on Preparing for Automated Vehicles and Shared Mobility (Forum) has developed nine (9) Topical Papers to support the work of the Forum (Project). The mission of the Forum is to bring together public, private, and research organizations to share perspectives on critical issues for deploying AVs and shared mobility. This includes discussing, identifying, and facilitating fact-based research needed to deploy these mobility focused innovations and inform policy to meet long-term goals, including increasing safety, reducing congestion, enhancing accessibility, increasing environmental and energy sustainability, and supporting economic development and equity. IMPACTS OF AUTOMATED VEHICLES AND SHARED MOBILITY ON TRANSIT AND PARTNERSHIP OPPORTUNITIES PAGE 2 The Topical Areas covered as part of the Project include the following: The goals -
How Are Startups Shaping the Future of Road Mobility? ROAD MOBILITY STARTUPS ANALYSIS 2018
How are startups shaping the future of road mobility? ROAD MOBILITY STARTUPS ANALYSIS 2018 1 1 FOREWORD Startups can further enhance the mobility offer Tesla, Uber, Blablacar. Most in doing for passenger transport, Europeans would acknowledge to the point of being now a leading that these 3 startups have alternative to buses, trains and revolutionized the world of road short-haul aircraft. passenger transport over the last 10 years. Tesla, Uber and Blabacar - and their counterparts in other parts of By launching a company with the world - are no longer startups. global ambitions in this industry, Are there new startups that will the likes of which had not been herald market re-alignments of the seen since the creation of Honda in magnitude of these 3 companies? 1948, Tesla shook well-established If so, in which domains? How are car manufacturers. It opened the they going to do it? door to a new generation of cars: To answer these questions, we electric, connected, autonomous. studied 421* startups associated with on-road mobility. The world of taxis was halted, even blocked. By relying on This study of 421 startups allowed smartphones, Uber dynamised us to highlight 3 major groups: the situation and somewhat satisfied - not without criticism - / Startups that contribute to the the shortage of affordable private emergence of a new generation of driver services in some cities. cars; / Those which conceive mobility not The sharing economy is simple through means, but as a service; (...on paper): exploit the over- / Those that mix the future of the capacity that one person has in vehicle and new types of services to order to make it available to all. -
AUTONOMOUS VEHICLES the EMERGING LANDSCAPE an Initial Perspective
AUTONOMOUS VEHICLES THE EMERGING LANDSCAPE An Initial Perspective 1 Glossary Abbreviation Definition ACC Adaptive Cruise Control - Adjusts vehicle speed to maintain safe distance from vehicle ahead ADAS Advanced Driver Assistance System - Safety technologies such as lane departure warning AEB Autonomous Emergency Braking – Detects traffic situations and ensures optimal braking AUV Autonomous Underwater Vehicle – Submarine or underwater robot not requiring operator input AV Autonomous Vehicle - vehicle capable of sensing and navigating without human input CAAC Cooperative Adaptive Cruise Control – ACC with information sharing with other vehicles and infrastructure CAV Connected and Autonomous Vehicles – Grouping of both wirelessly connected and autonomous vehicles DARPA US Defense Advanced Research Projects Agency - Responsible for the development of emerging technologies EV Electric Vehicle – Vehicle that used one or more electric motors for propulsion GVA Gross Value Added - The value of goods / services produced in an area or industry of an economy HGV Heavy Goods Vehicle – EU term for any truck with a gross combination mass over 3,500kg (same as US LGV) HMI Human Machine Interface – User interface between a vehicle and the driver / passenger IATA International Air Transport Association - Trade association of the world’s airlines LIDAR Light Detection and Ranging - Laser-based 3D scanning and sensing MaaS Mobility as a Service - Mobility solutions that are consumed as a service rather than purchased as a product ODD Operational Design -
Transformative Mobility Solutions for India
TRANSFORMATIVE MOBILITY SOLUTIONS FOR INDIA CHARRETTE PRE-READ DOCUMENT 1 CONTENTS 1. PASSENGER MOBILITY: EMERGING TRENDS AND OPPORTUNITIES 2. CASE STUDIES 3. POTENTIAL IMPACT IN INDIA 2 PASSENGER MOBILITY: EMERGING TRENDS AND OPPORTUNITIES 1. TRADITIONAL MOBILITY SYSTEM 2. NEW MOBILITY PARADIGM 3. POTENTIAL LEAPFROG FOR INDIA 3 INDIA IS AT A CRITICAL JUNCTURE FOR THE FUTURE OF ITS MOBILITY SYSTEM INDIA HAS A MOMENTOUS OPPORTUNITY TO INVEST IN A WORLD-CLASS TRANSPORTATION SYSTEM IN ORDER TO MEET ITS GOALS OF ECONOMIC GROWTH AND CITIZEN PROSPERITY Private vehicle growth Private vehicles grew 2.7x Pressing Factors from 2002–2013 to 160M • Increased mobility is a positive economic force 160 —citizens on the move enhances commerce 59 and drives the economy. • India will need upgrades to provide 2002 2013 transportation to its citizens. • Infrastructure is expensive and difficult to Public transit shortage Demand for 340k buses uninstall—India must not pursue mobility exceeds India’s 100k stock futures leading to high costs, heavy pollution, 340 and/or inefficiency. • Growing demand cannot be met just through 100 non-motorized transit. Supply Demand 4 INVESTMENTS IN TRADITIONAL MOBILITY SOLUTIONS IN THE U.S. HAVE LOCKED IN UNFAVORABLE OUTCOMES INVESTMENT BY DEVELOPED NATIONS IN AN INEFFECTIVE, PRIVATE-VEHICLE-FOCUSED SYSTEM HAS LED TO DECADES OF “LOCK IN” EFFECTS Underutilized: System: Technology: Dirty: Personal vehicles sit unused ICEs emit 1.2 gigatons of Just In Case ICE Vehicles 95% of their life. CO2 each year, along with Mobility powered by Mobility delivered NOx and SOx. Expensive: by personally internal combustion Mobility is the 2nd highest owned/operated engines and Inefficient: expense for U.S. -
The Social Costs of Uber
Rogers: The Social Costs of Uber The Social Costs of Uber Brishen Rogerst INTRODUCTION The "ride-sharing" company Uber has become remarkably polarizing over the last year. Venture capital firms still love Ub- er's prospects, as reflected in a recent $40 billion valuation.1 Yet the company seems determined to alienate just about everyone else.2 Taxi drivers have cast Uber as an unsafe and rapacious competitor, leading lawmakers to shut it out of various mar- kets.3 Uber's claim that its average New York City driver earns over $90,000 a year was so hard to verify that a Slate writer en- titled her article "In Search of Uber's Unicorn." 4 And in what some have called "Ubergate,"5 a senior executive stated that the company might investigate the personal and family lives of its critics-in particular a female journalist who accused it of disre- garding female passengers' and drivers' safety.6 t Associate Professor of Law, Temple University James E. Beasley School of Law. I'd like to thank the staff of The University of Chicago Law Review for superb edito- rial assistance. Errors are of course mine alone. 1 Mike Isaac and Michael J. De La Merced, Uber Adds a Billion Dollars More to Its Coffers, NY Times Dealbook Blog (NY Times Dec 4, 2014), online at http://dealbook .nytimes.com/2014/12/04/uber-files-to-sell-1-8-billion-in-new-shares (visited Feb 26, 2015). 2 Indeed, one Silicon Valley venture capital chieftain has called the company "ethi- cally challenged." Hailey Lee, Uber Is 'Ethically Challenged'-Peter Thiel (CNBC Sept 17, 2014), online at http://www.enbe.com/id/102008782 (visited Feb 26, 2015). -
The Dangers and Self Protective Behaviors of Ride Share Drivers
University of Louisville ThinkIR: The University of Louisville's Institutional Repository Electronic Theses and Dissertations 5-2017 The dangers and self protective behaviors of ride share drivers. M. Angela Schwendau University of Louisville Follow this and additional works at: https://ir.library.louisville.edu/etd Part of the Criminology Commons, and the Work, Economy and Organizations Commons Recommended Citation Schwendau, M. Angela, "The dangers and self protective behaviors of ride share drivers." (2017). Electronic Theses and Dissertations. Paper 2635. https://doi.org/10.18297/etd/2635 This Doctoral Dissertation is brought to you for free and open access by ThinkIR: The University of Louisville's Institutional Repository. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of ThinkIR: The University of Louisville's Institutional Repository. This title appears here courtesy of the author, who has retained all other copyrights. For more information, please contact [email protected]. THE DANGERS AND SELF PROTECTIVE BEHAVIORS OF RIDE SHARE DRIVERS By M. Angela Schwendau B.S., University of Louisville, 1996 M.S., University of Louisville, 2005 A Dissertation Submitted to the Faculty of the College of Arts and Sciences of the University of Louisville In Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy in Criminal Justice Department of Criminal Justice University of Louisville Louisville, KY May 2017 Copyright 2017 by M. Angela Schwendau THE DANGERS AND SELF PROTECTIVE BEHAVIORS OF RIDE SHARE DRIVERS By M. Angela Schwendau B.S., University of Louisville, 1996 M.S., University of Louisville, 2005 A Dissertation Approved on April, 2017 By the following Dissertation Committee: Dissertation Chair Dr. -
D.T2.4.2-Strategic Guidelines on Mobility Data Governance
D.T2.4.2 Mobility data governance and management in the context of the development of a service hub – Strategic guidelines for cities and regions SHAREPLACE pilot regions 10 2020 Document Information Version Date Author Company Description 0.1 06.12.2019 Gerhard-Gruber AustriaTech Set up of document 0.2 18.02.2020 Gerhard Gruber AustriaTech Adaptation of the document 0.3 09.03.2020 Gerhard Gruber AustriaTech Adaptation of the document 0.4 01.04.2020 Gerhard Gruber Austria Tech Adaptation of the document 0.5 02.06.2020 Gerhard Gruber Austria Tech Adaptation of the document 0.6 13.07.2020 Gerhard Gruber Austria Tech Adaptation of the document 0.7 21.08.2020 Gerhard Gruber Austria Tech Adaptation of the document 0.8 30.10.2020 Gerhard Gruber Austria Tech Adaptation of the document D.T2.4.2 | Mobility data governance and management in the context of the development of a service hub – Strategic guidelines for cities and regions 1 of 42 Content Executive Summary .................................................................................... 4 1. Introduction .......................................................................................... 5 2. Mobility data goverance and management ..................................................... 6 2.1. Important aspects for cities and regions ..................................................... 7 2.2. Regulations for mobility governance and management ................................... 8 2.2.1. European level regulations and policies with high relevance ......................... 9 2.2.1.1. -
NCIC Vehicle Model Codes Sorted by Make
NCIC Vehicle Model Codes Sorted by Make MakeCode Model Code ACAD Beaumont Series ACAD Canso Series ACAD Invader Series ACUR Integra ACUR Legend ACUR NSX ACUR Vigor ALFA 164 ALFA 2600 Sprint ALFA 2600 Spider ALFA Alfetta GT ALFA Arna ALFA Berlina ALFA Duetto ALFA GTV6 2.5 ALFA Giulia Sprint ALFA Giulia Spider ALFA Giulietta ALFA Giulia ALFA Alfa GT6 ALFA GT Veloce ALFA Milano ALFA Montreal ALFA Spider Series ALFA Zagato AMER Alliance AMER Ambasador AMER AMX AMER Concord AMER Eagle AMER Encore AMER Gremlin AMER Hornet AMER Javelin AMER Marlin AMER Matador AMER Medallion AMER Pacer AMER Rambler American AMER Rambler Classic AMER Rebel AMER Rambler Rogue AMER Spirit AMER Sportabout ASTO DB-5 ASTO DB-6 ASTO Lagonda ASTO Vantage ASTO Volante Page 1 of 22 NCIC Vehicle Model Codes Sorted by Make MakeCode Model Code ASUN GT ASUN SE ASUN Sunfire ASUN Sunrunner AUDI 100 AUDI 100GL AUDI 100LS AUDI 200LS AUDI 4000 AUDI 5000 AUDI 850 AUDI 80 AUDI 90 AUDI S4 AUDI Avant AUDI Cabriolet AUDI 80 LS AUDI Quattro AUDI Super 90 AUDI V-8 AUHE 100 Series AUHE 3000 Series AUHE Sprite AUST 1100 AUST 1800 AUST 850 AUST A99 & 110 AUST A40 AUST A55 AUST Cambridge AUST Cooper "S" AUST Marina AUST Mini Cooper AUST Mini AUST Westminster AVTI Series A AVTI Series B BENT Brooklands BENT Continental Convertible BENT Corniche BENT Eight BENT Mulsanne BENT Turbo R BERO Cabrio BERO Palinuro BERO X19 BMC Princess BMW 2002 Series BMW 1600 Page 2 of 22 NCIC Vehicle Model Codes Sorted by Make MakeCode Model Code BMW 1800 BMW 200 BMW 2000 Series BMW 2500 Series BMW 2.8 BMW 2800 -
Uber and the Communications Decency Act:..., 18 N.C
UBER AND THE COMMUNICATIONS DECENCY ACT:..., 18 N.C. J. L. & Tech. 290 18 N.C. J. L. & Tech. 290 North Carolina Journal of Law & Technology March, 2017 Article Adeline A. Allen a1 Copyright © 2017 by North Carolina Journal of Law & Technology; Adeline A. Allen UBER AND THE COMMUNICATIONS DECENCY ACT: WHY THE RIDE-HAILING APP WOULD NOT FARE WELL UNDER § 230 ABSTRACT Uber, a company that offers ride-sharing arrangements through its smartphone app, has quickly grown in popularity. As Uber grows in widespread use, injuries involving rides arranged through Uber have been on the rise. Uber maintains that it is a technology platform that connects users on its app, not a transportation company. Such a characterization would render Uber immune from suits for injuries involving the ride arrangements under the Communications Decency Act, 47 U.S.C. § 230 (2012). The statute offers robust protection for web-based companies from liability for content provided by third parties. This article seeks to consider whether Uber's business model properly allows it to be under the protection of the Communications Decency Act. Given Uber's roles in setting the price for the ride and in heavily controlling the connection between passenger and driver, this article argues that more than a platform, Uber is a content provider in the ride-sharing arrangement and is thus disqualified from Communications Decency Act immunity. ABSTRACT 290 INTRODUCTION 291 I. UBER AND THE SHARING ECONOMY 296 II. THE COMMUNICATIONS DECENCY ACT 302 A. What Is a Provider of an Interactive Computer Service? 303 B. Who Provided the Content? 305 C.