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Monday, December 31, 2012

6:58 PM

A look back over 2012 and glance ahead to 2013


Here are some thoughts about the state of carsharing in 2012 and look ahead.

Big news in 2012

Carship Enterprise In the big news department, nothing is bigger (and probably under-reported) than Enterprise bringing its carsharing operations — Philly CarShare, Mint and WeCar — under one umbrella Enterprise Carshare.   They are have quietly become a major player serving 3 cities (OK, 2 1/2 since their Boston operation isn't huge, yet), more than 60 colleges and universities and several military bases (a market mostly untapped since Flexcar tried to enter it in the early 'aughts (2000's).  

Star Trek's tag line was "to boldly go where no man had gone before", and I would say, Enterprise has been fairly bold since they are already in the "neighborhood" space (they invented it) with their existing rental car outlets.  I suspect both carsharing and rental car industries are watching Enterprise closely to see its next move.  Will they start rolling out city-wide operations in a number of cities, as well as continue their college and university expansion?   

Zipcar made a solid profit in the 3rd quarter 2012 and looks like they'll continue in 4th quarter and beyond.  Hooray!   May they have put this chapter behind them!  Zip is the flagship in the industry but has been struggling to make investors (and itself) happy ever since its IPO.  It's worth reminding ourselves just how BIG Zipcar is — when ranked against car rental companies they were 5th behind Dollar/Thrifty, according to Auto Rental News annual compilation.  (And they did it without the major revenue stream of remarketing their vehicles that the auto rental companies have!)
With the rebranding of Avancar, it appears they've learned something about bringing new acquisitions into the fold — don't throw the baby out with the bathwater.  IMHO Zipcar lost lots of goodwill when it lost the Streetcar name in London.  It's too early to say whether the continued slow(er) growth in car club memberships there is the result of this rebranding or an overall slowdown in the London car club dynamics.  And hopefully, they'll get over their hiccup in Vienna, as well.

P2P In the not so big news, the P2P companies in the US continue to march forward, although it's somewhat difficult to tell how fast they're marching, how many people or vehicles are enrolled in their services and how much usage the vehicles are actually getting.  As I've said before, without technology in the car, these guys aren't really carsharing - but car rental!  (And that's fine, see my comments in the following section.)

Meanwhile, the "little guy" carshares in the US and Canada (many more up there, eh what?), continue to do a great job serving their customers, at generally much lower rates.  And over in Europe, multiple carsharing companies continue to slug it out in many cities, apparently with enough loyal customers, and usage, to keep them going for another year.

Some thoughts about 2013 

Fundamental Differences The bad news for 2013 is that, regrettably, the misunderstanding about several fundamental differences in carsharing service models will likely will continue and probably further muddy the waters.  I'm talking about the differences between
  • Round trip and one-way carsharing
  • Real carsharing and P2P key exchange — real carsharing has gas and full insurance included and P2P key swap is arguably" car share lite", aka car rental 
Right now the media (mainstream and blogosphere) are the chief perpetrators, with the investment reporters repeating the misinformation. Yes, these are all forms of carsharing, but they serve different types of trips and customers.

I will say it again: one way/on demand carsharing, such as car2go (the current darling of the media) is a fundamentally different service model than "classic" round trip carsharing.  The Motley Fool, a sometimes confused observer of the carsharing scene, even predicts Zipcar will offer one way service in 2013.  Perhaps so, but it will likely be more like Hertz On Demand's one way option to the NYC airports and probably not the full one-way service like car2go.  Could Zipcar do it? Of course they could (after a not insignicant rewrite of their back end software).  But will they?  Time will tell.  
Latest generation 
Getaround Car Kit
Plug and Play The good news is that I expect 2013 will show us the first fully, or almost fully "plug and play" carsharing telematics.  Some of the P2P carshare boxes in Europe and US approach this but given the interest in telematics by the OEMs (car manufacturers), the rental car industry (we're still waiting to see what Hertz is going to do) and the ever growing worldwide carsharing industry, I think it's inevitable.  

Shake Out in P2P  And speaking of Europe, There are so many P2P companies currently operating there, I can't imagine there won't be some sort shake out in the German, and especially French, P2P carshare markets.    And perhaps something could shift in the US, as well.   And something else in P2P that seems overdue is when Wheelz is going to make a major move.  But exactly what, where, why, when, remains to be seen.

Real Data About P2P and One Way  Hopefully, in 2013 I'm looking forward to seeing at least some preliminary results from two large-scale federally-funded studies about carsharing in the US:
  •  P2P vehicle owner mobility behavior after they list their vehicle with Getaround in Portland, Oregon.  
  • Impacts of one way/on demand carsharing (car2go) in San Diego
The impacts of both these business models are likely to be very different from classic carsharing and it does the industry a disservice to confuse them.

Citroen Multi City
the newest player in
one way carsharing
Berlin Something else I'll be watching closely in 2013 is Berlin, Germany.  It's a huge, somewhat spread out, city, that's got 5 "classic carshares, 3 one way/on demand and 3+ P2P carshares — all in one city!  Some day (hopefully soon) some bright university professor will study how people make decisions about which carshare to join in Berlin, the same way Detroit has been studying consumers for years!  In the meantime here's a comparison (in broken English) of the prices of most of these services in Berlin.

I'm sure there's more news that I haven't mentioned, so feel free to comment below.  

May we have even more mobility choices in 2013.   Happy new year!


Friday, December 21, 2012

4:56 PM

Carsharing Sessions at TRB 2013

Hey Kids, it's that time again!  It's time for the 5 day 24 hour partying at the 2013 Transportation Research Board meeting in Washington DC.

Just kidding about the partying.

If you haven't made up your mind, it's not too late.  Details about the conference, registration and interactive program is here.

Below I've posted the full abstracts of the carsharing sessions. Note that Session 559 is an informal Poster Session and not the typical paper and Powerpoint session.

I will add information about the annual carsharing and AP 020 Subcommittee meetings.

I'll be at the Washington Hilton on Tuesday and Wednesday and would love to meet people starting Monday night.  Send me a message.  Thanks.



Session 491
Travel Behavior and Carsharing: New Insights 
Tuesday, January 15, 2013 8:00AM - 9:45AM  Hilton, Columbia Hall 8Lectern Session

Francesco Ciari, Swiss Federal Institute of Technology, Zurich, presiding

Unraveling the Travel Behavior of Carsharing Members from GPS Traces
Benoit Leclerc, Ecole Polytechnique de Montreal, Canada, presenter
Martin Trepanier, École Polytechnique de Montréal, Canada, presenter
Catherine Morency, École Polytechnique de Montréal, Canada, presenter
As carsharing becomes increasingly popular over the world, it is interesting to better understand the underlying characteristics of the trips made by the members when they use the cars. Up to this day, few studies reported on the details of trips. This paper presents a methodology that can be used to analyse three components of a carsharing member journey: the locations of its stops, the attributes of its trips and the characteristics of trip chaining. The method is based on the processing of GPS traces collected aboard carsharing vehicles. It uses a 5-minute stop identification criterion to cut the trip chains into separate trips. The case study is the Communauto system in the Montreal area, Canada. The study shows that carsharing members will make more trips during their trip chains than typical car owners. However, carsharing trips are shorter and often conducted for utilitarian purposes (shopping, visits) and not for work. Members tend to optimize the use of the cars during their rental time (up to 50% of the time in movement for short trip chains, 30% for longer duration).
13-1705
Qualitative Insights on the Travel Behavior Effects of Joining a Carshare
Kiron Chatterjee, University of the West of England, United Kingdom, presenter
Geoffrey Paul Andrews, University of the West of England, United Kingdom, presenter
Miriam Ricci, University of the West of England, United Kingdom, presenter
Graham Parkhurst, University of the West of England, United Kingdom, presenter
Carsharing organisations (‘carshares’) provide collectively-available vehicles that can be booked for exclusive use on a ‘pay-as-you-go’ basis. Previous research has shown that there are two groups who join carshares: accessors, who do not have a car on joining a carshare and gain access to one; and shedders, who give up a car on joining a carshare. The paper examines the circumstances and motivations for accessors and shedders to join a carshare, changes to their travel behaviour in the short and longer run and how their behaviour might have changed if they had not joined. This is achieved through in-depth interviews of members of a carshare in the city of Bath in the UK. It is found that the carshare attracted those already contemplating giving up their car or triggered to consider giving up their car ownership by life events. Joining a carshare prevents acquisition of cars for some members but some subsequently take opportunities to acquire cars as circumstances change. Once shedders become members it is found they adapt to managing without a personal car and use a variety of transport modes, planning their activity-travel schedules in advance and taking into account costs and convenience of different options. The increasing popularity of new mobility options such as carsharing also has implications for the methods used to analyse and model travel behaviour. The options of joining a carshare and using carshare vehicles should be included in transport models for areas where carshares operate.
13-4590
The Market and Impacts of New Types of Carsharing Systems: Case Study of Greater London
Scott Le Vine, Imperial College of Science, Technology and Medicine, United Kingdom, presenter
Aruna Sivakumar, Imperial College London, United Kingdom, presenter
Martin E. H. Lee-Gosselin, Universite Laval, Canada, presenter
John W. Polak, Imperial College London, United Kingdom, presenter
Short-term car rental services known as Carsharing (CS) have grown rapidly from a very small base over the past decade. They are primarily found in dense urban areas in the developed world though they are reaching beyond this comfort zone in several ways. There are now more than a million subscribers worldwide. CS services generally require public sector support, though this is not always the case and may be less so in the future. Some CS systems are publicly-funded, but policymakers are taking note of this mode of transport for several other reasons as well: it affects use of other forms of transportation, it impacts on important outcomes such as emissions and parking needs, and it uses privileged access to publicly-owned on-street space. At the moment policymakers must make decisions on a very limited evidence base, in particular as regards new types of CS systems. To date a small number of studies have attempted to forecast how widespread CS services might become and the likely impacts. This paper presents forecasts prepared with a newly-developed methodology using London, England as a case study. We show that the potential market and impacts of CS systems are highly-dependent on the specific service features.
13-4389
Smart Devices and Travel Time Use by Bus Passengers in Vancouver, Canada
Zhan Guo, New York University, presenter
Alexandra Derian, New York University, presenter
Jinhua Zhao, University of British Columbia, Canada, presenter
This research investigates bus passengers’ activity patterns and the usage of smart devices at bus stops and on buses. Using both passive observations and self-reported surveys mainly from college students in Vancouver, Canada, it found that the majority of passengers used their time actively instead of doing nothing. Most of the observed active activities are associated with the usage of smart devices. Although the possession of smart devices is prevalent, only a small portion of passengers (less than a third) actually use them during travel. A variety of environmental and trip factors, personal attributes, and past experiences influence the usage of smart devices, but only explain the variation marginally. Research also found that the usage of smart devices encourages multitasking both at bus stops and on buses. Smart phones are the most conducive to multitasking, followed by iPod/MP3 players, and iPads/tablets.
13-4274




Session 559
Latest Trends in Bike-, Car-, and Ridesharing 
Tuesday, January 15, 2013 10:45AM - 12:30PM  Hilton, International CenterPoster Session

Susan A. Shaheen, University of California, Berkeley, presiding
Allocation Optimization of Bicyclesharing System at Scenic Spots: Case Study
Tangyi Guo, Nanjing University of Science and Technology, China, presenter
Jun Liu, Nanjing University of Science and Technology, China, presenter
Hu Qizhou, Nanjing University of Science and Technology, China, presenter
Mao Ye, Nanjing University of Science and Technology, China, presenter
Bicycle-sharing system is considered as a green option to provide a better connection between scenic spots and nearby metro/bus stations. This paper focuses on allocating and optimizing the layout of bicycle-sharing system inside the scenic spot and around its influencing area. It is found that the terrain, land use, nearby transport network and scenery point distribution have significant impact on the allocation of bicycle-sharing system. While the candidate bicycle-sharing stations installed at the inner scenic points, entrances/exits and metro stations are fixed, unmovable, the ones installed at bus-stations and other passenger concentration buildings are adjustable. Aiming at minimizing the total cycling distance and overlapping rate, an optimization model is proposed and solved based on the idea of cluster concept and greedy heuristic. A RP/SP combined survey was conducted at Xuanwu Lake in Nanjing, China to get an insight into the touring trip characteristics and bicycle-sharing tendency. The results revealed that 39.81% visitors accept a cycling distance of 1~3 km and 62.50% respondents think that the bicycle-sharing system should charge an appropriate fee. The survey indicates there is high possibility to carryout bicycle-sharing system at Xuanwu Lake. Optimizing the allocation problem cluster by cluster rather than using exhaustive search method significantly reduces the computing amount from O(243) to O(432). The 500m-radius-coverage rate for the alternative optimized by 500m-radius -cluster and 800m-radius- cluster is 89.2% and 68.5%, respectively. The final layout scheme will provide decision makers engineering guidelines and theoretical support.
13-3792B01
A Mode-Neutral Innovation Framework for Commuter Transport: Part 1
Paul Minett, Trip Convergence Ltd., New Zealand, presenter
John H. Pearce, Trip Convergence Ltd., New Zealand, presenter
Innovation in all fields is recognized as a high risk activity, with many more failures than successes. In commercial product and service innovation, “Customer-Outcome Driven” innovation has been recognized by leading companies as a more effective foundation for innovation. Central to the outcome-driven approach is the methodical identification of desired customer outcomes and the use of survey data to identify underserved outcomes that represent opportunities for development of innovative solutions. This paper explores the application of this technique to commuter travel, to the job of ‘making a daily trip to and from a destination’, with the overall goal of understanding what it would take to increase “passengership” and concludes that the approach delivers potentially useful results. Further research is recommended, and the authors call for metropolitan areas to help with further data collection, solution development and deployment.
13-0838B02
Demand of Bike-Sharing Travels: Evidence from Washington, D.C.
Nobuhiko Daito, George Mason University, presenter
Zhenhua Chen, George Mason University, presenter
In recent years, bicycle sharing programs have gained much popularity in a number of cities in the United States and other nations. However, the demand for bike sharing travel is still not well understood. This paper investigates the characteristics of bike sharing travel demand, focusing on the Capital Bikeshare Program in Washington, D.C. Based on the detailed daily trip data from September 15, 2010 to March 31, 2012, a time-series analysis finds that an increase in the number of bike stations has a strong positive influence on bike sharing travel demand. In addition, weather and temperature are found to have significant associations with the Bikeshare usage as well. The study offers an optimistic view of the further expansion of the program in the greater Washington metropolitan region.
13-3869B03
Using a Multi-agent Simulation Tool to Estimate the Carpooling Potential
Thibaut Dubernet, Swiss Federal Institute of Technology, Zurich, presenter
Nadine Rieser-Schüssler, Swiss Federal Institute of Technology, Zurich, presenter
Kay W. Axhausen, Swiss Federal Institute of Technology, Zurich, presenter
It is a general trend in transportation planning to try to minimize the negative externalities of the transport system as a whole, such as noise or pollutant emissions. One of the ways to achieve this is to reduce the number of cars on the roads, for instance by increasing car occupancy. This paper focuses on evaluating the potential of this possibility. The factors influencing this potential are manifold: behavioral, structural (number of potential matches), organisational (quality of available services to meet co-travelers)... In previous studies, mainly the behavioral and organisational factors were analyzed. This paper focuses on the structural factor. To do so, the highly detailed daily plans generated by the multi-agent microsimulation software MATSim are searched for potential matches. Information about the potential matches is used to assess the feasibility of carpooling. In particular, it is shown that when considering only structural factors, it is possible to group most of the car trips into two-person car-pools. The results of the analysis lead to the conclusion that there is no structural obstacle to carpooling development, and thus that the causes of the low share of this mode is to search in both the behavioral and organisational factors.
13-0866B04
Integrating Shared-Use Vehicles: Building the Next Generation of Transit 
Lauren Alpert, State University of New York, Albany, presenter
This paper serves as an introduction to practitioners on shared use vehicles and several strategies to implement and integrate shared use vehicles into an existing transit or transportation network. The shared use vehicles identified are ride sharing, car sharing and bike sharing. The history and current market of each mode is reviewed. The paper includes a review of research of transit integration. The integration methods suggested is integration through street infrastructure, the fare card and information technology. Challenges of each integration method are reviewed and several case studies are explored. A policy implementation chart is included to guide practitioners in municipal government to implement an integrated transportation system that includes shared use vehicles.
13-1332B06
Residential On-Site Carsharing and Off-Street Parking: The Case of San Francisco Bay Area 
Charles Richard Rivasplata, San Jose State University, presenter
Zhan Guo, New York University, presenter
Richard W. Lee, Fehr & Peers, presenter
David Keyon, San Jose State University, presenter
This research explores the recent practice of connecting on-site carsharing service with off-street parking standards in multifamily developments, using the San Francisco Bay Area as a case study. If implemented well, such a policy could help boost the carsharing industry and help reduce off-street parking, which is often criticized as being oversupplied, primarily due to the excessive off-street parking standard. We surveyed all carsharing sites in the Bay Area and all new residential developments (completed after 2000) with on-site carsharing spaces in 2011. We found that a significant number of carsharing spaces are located on residential properties, but most of them (70 percent) have been retrofitted into existing buildings. For the new developments, on-site carsharing did not result in a reduction in the amount of regular off-street parking. Interviews with 15 professionals from three stakeholder groups (i.e., planners, developers, and service providers) revealed that even though all stakeholders are in favor of on-site carsharing at residential developments, three major barriers exist: the lack of incentives, the complexity of access design, and high transaction costs.
13-4296B08
Evolution and Lessons from China Mainland Bikesharing Systems
Yang Tang, Tongji University, China, presenter
Haixiao Pan, Tongji University, China, presenter
Qiaoyin Lu, Tongji University, China, presenter
Like other global cities, bike-sharing grows rapidly in China mainland. Currently, bike-sharing researches and cases studies mostly focus on European and American cities, only few papers study on the fast growing bike-sharing systems in China. This paper aims to describe the development of bike-sharing in China mainland, and to summarize the experience and lessons from these systems. According to the data collection, interview with bike-sharing planners, operators and government managers and comparison among different case cities, the paper first introduces the status of all bike-sharing systems in China mainland cities which already existed or under construction/planning. Experience and lessons are drawn from these operating systems through six perspectives: the role of government, management model, common perspective and criterion, systematic research, the promotion of bicycle transportation and innovative service. This study may provide invaluable reference for other Chinese cities which hope for upgrading their bike-sharing system. It is also a good addition to the literature collection on bike-sharing as an approach to promote green transportation.
13-5075C02



Session 818
Innovations in Carsharing Operations
Wednesday, January 16, 2013 4:30PM - 6:00PM  Hilton, Georgetown EastLectern Session

Scott LeVine, Imperial College London, United Kingdom, presiding

TitlePresentation Number
Managing Dynamic Vehicle Allocation for Carsharing Systems: Stochastic Programming Approach
Wei Fan, University of Texas, Tyler, presenter
Yongneng Xu, Nanjing University of Science and Technology, China, presenter
Carsharing offers innovative mobility solutions and has been gaining in popularity around the world as an environmentally sustainable, socially responsible and economically feasible mode of transport. It allows members to gain the benefits of private vehicle use without the costs and responsibilities of ownership and provides individuals access to a fleet of shared-use vehicles in a network of locations on a short term as-needed basis. This paper seeks to develop a stochastic optimization framework to address the dynamic vehicle allocation problem for carsharing systems, in which the service operator needs to manage and determine the optimal vehicle allocation in both time and space in order to maximize profits. A multistage stochastic linear programming model with recourse, which can account for system uncertainties such as carsharing demand variation, is formulated and solved. Numerical results are discussed and computational insights are presented based upon a seven-stage experimental network pilot study.
13-0324
Dynamic Transit Service Through Open Mode Integrated Transportation System
Huiming M. Yin, Columbia University, presenter
Liang Wang, Columbia University, presenter
Paul Maurin, Columbia University, presenter
This paper presents an overview of the Open Mode Integrated Transportation System (OMITS), introduces its key components and algorithms in the recent development and implementation, and demonstrates the working mechanism of dynamic transit service. The OMITS has been designed to integrate the availability of multiple transit modes into the ridesharing service to provide riders and drivers flexible, efficient, and reliable transportation services, through dynamic matching and routing algorithms and emerging information communication and data mining and fusion technologies. The OMITS App, which is run on a smart phone (iPhone or Android), has been developed for customers to communicate with the OMITS server, detect roadway traffic conditions, and receive driving directions. The travel time for a road section is predicted considering the traffic factors through the historic and real-time traffic data and public transit schedule. Using the multimodal travel system, the OMITS integrates multimodal transit options including the information of time-dependent arc weights, namely travel time, and switching delays and provides the time-dependent multimodal shortest path using the Dijkstra’s algorithm under the FIFO condition. The OMITS system provides an optimized ridesharing and transit service based on spontaneous transportation demands and service availability. A small scale OMITS prototype has been developed and tested in New York City. An example is presented to demonstrate the dynamic transit service algorithm.
13-4385
Comparing Optimal Relocation Operations with Simulated Relocation Policies in One-Way Carsharing Systems
Diana Rita Ramos Jorge, University of Coimbra, Portugal, presenter
Gonçalo Homem de Almeida Correia, University of Coimbra, Portugal, presenter
Cynthia Barnhart, Massachusetts Institute of Technology, presenter
One-way carsharing systems allow travelers to pick up a car at one station and return it to a different station, thereby causing vehicle imbalances across the stations. In this paper, realistic ways to mitigate that imbalance by relocating vehicles are discussed. Also presented are a new mathematical model to optimize relocation operations that maximize the profitability of the carsharing service and a simulation model to study different real-time relocation policies. Both methods were applied to networks of stations in Lisbon Portugal. Results show that real-time relocation policies, and these policies when combined with optimization techniques, can produce significant increases in profit. In the case where the carsharing system provides maximum coverage of the city area, imbalances in the network resulted in an operating loss of 1160 €/day when no relocation operations were performed. When relocation policies were applied, however, the simulation results indicate that profits of 854 €/day could be achieved, even with increased costs due to relocations. This improvement was achieved through reductions in the number of vehicles needed to satisfy demand and the number of parking spaces needed at stations. This is a key result that demonstrates the importance of relocation operations for sustainably providing a more comprehensive network of stations in one-way carsharing systems, thus reaching a higher number of users in a city.
13-4559
Implementation Cost Comparison of Different Types of Electric Vehicle Energy Replenishment Technologies for Public Transit Bus Systems
Paulo Kemper Filho, Korea Advanced Institute of Science and Technology, presenter
In-Soo Suh, Korea Advanced Institute of Science and Technology, presenter
Several different technologies have been developed in order to improve the usage of electric vehicles. Some of the core technologies are those which regard the replenishment of the energy supply. Essentially different in operation, execution time, and implementation and operation costs, to find a fair comparison between those technologies is not a straightforward task. A model using Petri Nets to calculate the minimum amount of resources required to implement each of the solutions is proposed. The model uses as input the target headway (i.e. the time distance between two consecutive buses) and the components cost, and yields a total system cost to achieve that headway. A case study is presented to illustrate the use of such model.

Friday, December 7, 2012

2:26 PM

What do we know about the benefits of new forms of carsharing?


I love Car2Go - I love the idea of it; I think it's a beautifully designed and implemented system; and, as a member, I find the service very handy and use it a couple of times each month in Portland.  

And I love the idea of peer-to-peer carsharing, too - efficiently using idle resources, providing a mobility option, increasing neighborliness and all that.

But I've got a complaint - these new services shouldn't try to take credit for stuff that doesn't apply to you.

Here's a slide from the presentation car2go gave to the Seattle City Council recently:

Really impressive numbers, eh?

And here's information from Getaround's web site:


All these benefits sound great, don't they?  If I were a city council-person watching the car2go pitch or a prospective member of Getaround and didn't know better, I'd say, wow, this is a really impressive, sign me up.  The only problem is those wonderful numbers about vehicles taken off the road, vehicles sold or delayed purchasing don't come from studies about car2go or Getaround but from detailed studies about classic round-trip carsharing with access technology installed in each vehicle.

"Classic" carsharing is conceived of as an alternative to owning a car, or a second car, so it's not surprising that people in these services have been shown through extensive evaluations to be shedding cars.  Peer to peer carsharing with key exchange is a lot more like car rental than carsharing and does not approach the level of convenience that I think would induce nearly as many people to reduce the number of cars they own.  

In the case of car2go, while a small percentage of trips certainly overlap with traditional carsharing services, it's clear from car2go's own numbers that the majority of trips are one way, something that can't be done with City Carshare (or Zipcar), which is what the numbers that are quoted apply to.  The rapid growth of car2go membership in every city is not just because of the free memberships in each city is an indication that a big percentage of people it appeals to probably aren't interested in round trip carsharing at the present.  car2go has the further distinction in offering only the 2-seater Smart car, which further differentiates the types of trips that users might make compared to round-trip carsharing.

Who's confused?

If you don't think there's confusion about the different types of carsharing, a recent Seattle Times article about car2go shows it - the reporter spoke to Frost and Sullivan spokespeson Stephen Spivey who is quoted saying that carsharing "replaces between nine and 13 cars on the road, cutting congestion and carbon emissions."  Well, ya, round trip carsharing does, but we just don't know whether this is anywhere close to the impact of car2go?  The reporter didn't make the distinction and it's unlikely that any of the Seattle City Council did either.

And it's not just in Seattle, there are numerous examples of the media in both North America and Europe regularly attributes the benefits of round trip carsharing to one-way/on-demand services, such as car2go.

Don't get me wrong

I think one-way/on-demand services, as well as peer to peer carsharing services with "key swap", will have a positive impacts on cities.  And in the long run these could be significant impacts.  But right now we just don't know what the impacts are and it annoys me that these claims are being made citing inappropriate data.  

The good news is that studies on the impacts of one-way/on-demand services are finally getting underway in San Diego by Dr. Susan Shaheen and in Munich by team red Deutschland.  Getaround will be the subject of its own federally-funded study in Portland, now underway.

So please, don't claim the others guys' benefits as your own.  You'll have your own numbers soon.  Thank you.

Further comments:

At least car2go cited the source of its claims (highlighted in yellow in the slide above).

And don't get me started about the cost of car ownership numbers that Getaround cites - the "average car owner" in the USA is not spending $8,677 per year; those numbers are likely coming from AAA and refer to new car owners.  But it's not an average of anything; it's a calculation of the cost of car ownership for a particular vehicle.