Tag Archives: DOLRT

It’s Safe?

While advocates continue to focus on the word ‘Light’, we really should focus on the word ‘RAIL‘. Yes, Light RAIL Transit is not a freight train (with infrequent daily crossings). However, the 100-ton Light RAIL Transit will snake thru communities on steel wheels and steel tracks, unable to swerve or stop quickly like other vehicles on the road – while crossing each and every crossing gate ~150 times on a typical work day !!!!

SOURCE: Dissected: How’re Ya Dying? Charting transportation mayhem in its many gory varieties.

These Light RAIL Trains ride on steel wheels on steel rails. Even if the brakes are the best and can stop the wheel completely (without derailing), the physics of steel sliding on steel do not change the physics of a 100 ton train’s momentum. Light RAIL Trains traveling at 35 MPH with full brake will travel ~ 428 feet in less than 10 seconds. More than the length of a football field.

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SOURCE: Safety Criteria for Light Rail Pedestrian Crossings by DON IRWIN, Tri-County Metropolitan Transportation District of Oregon

“All of these accidents point out the key flaw in rail transit: It is simply not safe to put vehicles weighing hundreds of thousands of pounds in the same streets as pedestrians that weigh 100 to 200 pounds and vehicles that typically weigh a few thousand pounds. Heavy rail (subways and elevated) avoid this flaw by being completely separated from autos and pedestrians, but are still vulnerable to suicides. Light rail, which often operates in the same streets as autos, and commuter trains, which often cross streets, simply are not safe.

Aside from being lighter than railcars (and thus less likely to do harm when they hit you), buses have the advantage that they can stop quicker. Rubber on pavement has more friction than steel wheel on steel rail, and the typical bus has many more square inches of wheel on pavement than a railcar. No matter how good the brakes on the railcar, it is physically impossible for it to stop as fast as a bus, for if the brakes are too good the wheels will just slide.

This is why light rail kills, on average, about three times as many people for every billion passenger miles it carries as buses” — Accidents Point Up Dangers of Rail Transit

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Consider, that According to the National Highway Traffic Safety Administration (NHTSA) at U.S. DOT: Three out of four crashes occur within 25 miles of a motorist’s home. Fifty percent of all crashes occur within five miles of home.

A calculation of NHTSA statistics on the rate of deaths per collision in vehicle/vehicle crashes versus the FRA statistics of deaths per collision in vehicle/train crashes reveals: A motorist is almost 20 times more likely to die in a crash involving a train than in a collision involving another motor vehicle. source: Operation Lifesaver, Crossing Collisions & Casualties by Year

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Or one can merely view recent incidents and fatalities in other Light RAIL Transit projects across the nation. Light RAIL Transit with at-grade crossings are NOT SAFE. Just GOOGLE “Light Rail Accident” or review this list or this list.

 

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Reports

Below are additional reports and analysis on Light Rail projects in the United States

Sustainable Growth?

“Charlotte … perform(s) particularly bad. These systems do not have enough riders to produce the economies of scale that make transit provision by rail significantly less expensive than bus.” — UC Berkeley Urban Densities and Transit: A Multi-dimensional Perspective

While public transit is required to help accommodate the area’s population growth, the central question is what technology do we require to solve what problem? And when do you use one versus the other? So where rail transit might be economically sound by re-purposing along existing rail corridors surrounded by high-density populations, does it make sense to use rail transit all of the time? Is rail the only tool in the transit kit?

What really matters to transit-oriented development [TOD] outcomes?  According to the report, the #1 predictor is strong government support for redevelopment, while the #2 predictor is real estate market conditions.  The #3 predictor is the usefulness of the transit services — frequency, speed, and reliability as ensured by an exclusive right of way. Using rail vs bus technologies does not appear to matter much at all. — yes, great bus service can stimulate development!

There seems to be a continued LRT bias where advocates claim that LRT is the only way to support population growth using TOD (Transit Orient Developments) and that TOD has an inherent affinity for LRT over BRT. However, studies from the US GAO (BUS RAPID TRANSIT, Projects Improve Transit Service and Can Contribute to Economic Development) and a recent study of 21 North American transit corridors across 13 cities by the Institute for Transportation and Development Policy suggests otherwise. The study concluded that strong government support for redevelopment and real estate market conditions were the primary drivers that drove successful TOD. The use of transit technologies (rail vs bus) did not matter at all.

Outside of the US, in cities like Curitiba, Brazil, and Guangzhou, China, there is copious evidence that BRT systems have successfully stimulated development. Curitiba’s early silver-standard BRT corridors, completed in the 1970s, were developed together with a master plan that concentrated development along them. The population growth along the corridor rate was 98% between 1980 and 1985, compared to an average citywide population growth rate of only 9.5%.

Many cities, therefore, consider investing in mass transit to stimulate the hoped-for development. Indeed, a good mass transit investment can be such a catalyst. Yet city planners and politicians, who do not always work closely with transportation professionals, commonly begin to view mass transit in and of itself as a silver-bullet solution for stimulating development. — ITDP study, More Development For Your Transit Dollar

The DOLRT study area projects 32% population growth. It is the lowest projection of the counties and regions in the study, suggesting that there are other population areas that are growing substantially FASTER than the DOLRT corridor.

Based on the Alternative Analysis, the corridor study area is projected by 2035 to have a population density of 4052 ppsm or people per square mile (231K / 57). Using 1/2 mile walk-up radius around each of the 17 proposed stations, approximately 68,000 people will be within walking distance of a station. The national average for public transportation utilization is 5% (Durham 3%). This suggests walk access will be approximately 6800 daily boardings (68K * 5% * 2) rather than the projected 12,180 by GoTriangle in 2040.

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“It is broadly accepted that fairly dense urban development is an essential feature for a successful public transit system. Our analysis suggests that light-rail systems need around 30 people per gross acre … (for) cost-effective investments in the US … urban densities are the most critical factor in determining whether investments in guideway transit systems are cost effective” — UC Berkeley Urban Densities and Transit: A Multi-dimensional Perspective

So how much population density do we need to make light rail cost-effective?

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Let’s do the math, there are 640 acres in one square mile. So that means we would require a density of 19,200 people per square mile. So with our current 3071 ppsm (175K / 57) along the DOLRT study corridor, that is 16% of the recommended population density. Or stated differently, we would have to reach a population of over 1 million people by 2040 (or today’s entire Wake county population) just within the 57 square mile study corridor.

More Efficient?

Advocates portray the No Build option as perpetuating unsustainable urban sprawl, and that the only option is to build a light rail system. Let’s look at this a little closer.

The latest revised DOLRT  projects 27,000 daily boardings (with NCCU extension in 2040) during 18.5 hours of daily operation across the 17.7 mile circuit (at a cost of $2.5 BILLION or $141 million per mile) to serve an average 730 passengers per hour (on each track). Running 150 train trips per day will result in an average ‘load factor’ of 10 passengers per vehicle mile traveled; or utilize 2% of the 500 passenger capacity heralded by GoTriangle. So for every one train that travels at the cited 500 passenger capacity, there will be ~50 trains running empty. Low capacity utilization is not  environmentally or economically sound.

While advocates will argue that LRT has higher ‘capacity’, it will not necessarily mean that it has higher ‘usage.’ We should not confuse capacity with usage.

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So how does that compare to the much hated highway? Well, not so well. A typical highways can accommodate 2,200 vehicles per lane per hour (human driven), utilizing about 5% of roadway capacity. And as autonomous vehicles become pervasive, this capacity will increase significantly, as the vehicles will be able to ‘platoon’ at much closer proximity thereby dramatically increasing the capacity of our existing roadway infrastructure. By using BRT, we will be able to organically add this capacity; whereas with LRT relying on steel rails, we will not, as it will be dedicated to only for the train and we will not be able to share with other autonomous vehicles.

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Generally, one-half or more of the light rail riders formerly rode bus services that were replaced by the rail service. The new ridership attracted to light rail from freeways is in fact quite small compared to the carrying capacity of a single freeway lane. The average freeway lane in US metropolitan areas that have built new light rail systems (since 1980) carries four times as many people per mile as light rail. Even signalized surface streets average twice as many people per mile as light rail. — Breach of Faith: Light Rail and Smart Growth in Charlotte

The mean travel time to work according to the 2014 US Census is 21.5 minutes (Durham County) and 22.0 minutes (Chapel Hill), yet the proposed DOLRT will take 46 minutes (+10 minutes at terminus) . Now include the waiting time for the next train, the time to get to/from the station (via Park&Ride, Kiss&Ride, bicycle, walking, or bus transfer), it will even be LONGER. So how is this faster than the automobile that it is supposed to replace?

A Different Future?

“The future ain’t what it used to be.” Yogi Berra


We are in the midst of a massive revolution that will dramatically transform ground transportation. It is anticipated that autonomous vehicles (or driver-less cars) will be commercially available by 2020, if not sooner. By the time DOLRT is completed, technological advances in personal transportation alternatives will render DOLRT obsolete.

A wave of new transportation technology is coming to Columbus after the city won the federal Smart City Challenge. The grant money will usher in driverless cars but could end the idea of rail as a mass-transit option. “The City of Columbus plans to leap-frog fixed rail” by using new modes of transportation, Columbus says in the U.S. Department of Transportation application. The city last month won a $40 million grant from the U.S. Department of Transportation, besting cities like San Francisco and Portland, Oregon. They already have rail options and still struggle with traffic congestion. Those cities are also larger and attract far more visitors to their cores. The fact that Columbus is without rail might actually have helped its case in the smart-city competition, as it is the test case for new transportation methods that could scale to similar cities.  Columbus is the biggest city in the U.S. to not offer rail service – something like light rail, streetcars, monorail – as a mass transportation option. The city’s application said its bus-based mass transit system, operated by the Central Ohio Transit Authority, can “demonstrate emerging mobility solutions at a lower cost and with greater flexibility than a fixed-rail infrastructure.” — Columbus will ‘leap-frog’ light rail as transit option after Smart City Challenge win

According to Philippe Crist, an economist with the Organization for Economic Co-operation and Development (OECD) “Fleets of shared, self-driving vehicles could indeed remove nine out of every ten vehicles on city streets, eliminating the need for all on-street parking and 80% of off-street parking, according to a recent study by the group.”Urban Transit’s Uncertain Future

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The rise of a “taxibot” may further reduce the need for car ownership and enable the sharing of vehicles that make shared, self-driving vehicles possible. According to Emilio Frazzoli, head of Future Urban Mobility for the Singapore-MIT Alliance for Research and Technology  “You couldn’t have imagined this ten years ago when people didn’t have smart phones and mobile computing was not available. Now you have this ability to connect and book a car. You see it with Uber and the proliferation of taxi booking apps or public transportation schedule routing apps, and this is at the same time you have autonomous vehicle technology that is evolving. You can marry the two.” — Urban Transit’s Uncertain Future

LIDAR on chip.001.jpegIf you doubt the accelerating adoption of new technology, it is worth to pause for a moment and consider that the iPhone was introduced in June 2007 and now is a ubiquitous device that has fundamentally transformed entire industries. The mass adoption of new technologies continues to accelerate. One recent estimate suggests that the typical luxury sedan now contains over 100 MB of binary code spread across 50–70 independent computers.

An analysis of the history of technology shows that technological change is exponential, contrary to the common-sense “intuitive linear” view. So we won’t experience 100 years of progress in the 21st century — it will be more like 20,000 years of progress (at today’s rate). — The Law of Accelerating Returns

Imagine a company like Uber or Lyft using self-driving cars and a mobile app to provide point-to-point transportation. So instead of your going to the transportation system (DOLRT station), the transportation system (Uber) comes to you! Just use your mobile app, select your destination, schedule your pick-up time and you will be taken from your front door directly (or even carpooling) to your destination. This would help eliminate the waste of unnecessary side trips, parking, platooned with coordinated traffic signals.

Uber and Gilt are selling passes for unlimited uberPOOL rides in New York City. “The deal is being called a “commute card” and can only be used Monday through Friday during commuting hours (7-10am and 5-8pm) in Manhattan. These are the same hours during which Uber offers $5 flat rate uberPOOL rides in NYC. As a refresher, uberPOOL is Uber’s carpool product where the company matches you with riders headed the same direction … this deal means commuting in an uberPOOL is cheaper than taking the subway.”

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Uber and Lyft are looking beyond competition with traditional taxi services. They may be creating the first practical, affordable personal rapid transit (PRT) systems that will compete with buses. In 2014, Uber launched UberPool, enabling multiple parties to share a ride along similar routes. The following year, the company announced uberCOMMUTE in China, which they described as ” carpooling at the press of a button.” In the U.S., it’s being tested in Chicago. Then, in December, Uber launched uberHOP in Seattle, which operates along pre-selected commuters routes.

Virtually all mass transit systems are publicly subsidized. Farebox revenues rarely cover more than 50 percent of expenses, which are labor and capital-intensive. In Pinellas Park, Florida—a Tampa suburb—has just replaced two bus lines with Uber service, subsidized to the tune of $3 per ride. It’s cheaper than running the buses. The Pinellas Suncoast Transit Authority budgeted $40,000 a year. Running the two bus lines cost four times as much. — Uber and Lyft Revolutionize Public Transit

A recent study by the Boston Consulting Group found the cost of conveying one passenger by an autonomous vehicle would be 35% less than by conventional taxi at the average taxi occupancy rate of 1.2 passengers. Increase an autonomous vehicle’s rate of occupancy to just two passengers and the cost per passenger becomes competitive with mass transit.Urban Transit’s Uncertain Future

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“… private companies like Uber, which recently began test-driving its own autonomous vehicle, could drive down the cost of shared transport to such a point that car ownership wouldn’t be worth it.” — Urban Transit’s Uncertain Future

In addition, autonomous vehicles will greatly enhance mobility for transit dependent populations that may be disabled, too young or too old. For example, in the US there are approximately 36 million people with disabilities. Given the mobility and autonomy of this new technology, this will improve utilization of assets like vehicles, roadways and parking lots to further reduce the cost of these services by providing better efficiency.

U.S. transportation chief visits Google to unveil 30-year plan
“We’ve got to look at our own regulatory framework … to make sure we’re being as nimble and flexible and adaptive as we can be. … That’s what the future is demanding,” Foxx said. Foxx and Schmidt took a quick ride in the tiny electric-powered pod that dropped them off at an entrance to the corporate campus. It then drove away on its own. “This is awesome, this is cool,” Foxx remarked as Schmidt and Chris Urmson, the head of Google’s self-driving car project, showed him how it worked.

Autonomous vehicles will be a disruptive innovation with major implications for society. requiring policy makers to address many unresolved questions about their effects. One fundamental question is about their effect on travel behavior. It will be easier to share cars and that this will thus discourage outright ownership and decrease total usage, and make cars more efficient forms of transportation in relation to the present situation. Autonomous vehicles may reduce public transit travel demand, leading to reduced service.

bosch-autonomous-car-technology_100417251_hThink that’s unlikely? Many companies are investing heavily in this area and it will have a massive impact on how we move people (and things). Several companies have already announced that they will have partially autonomous vehicles (Level 3) ready in the next 5-6 years including Audi. Baidu, BMW, Ford, Google, LeTV, Mercedes, Nissan, Tesla, Uber

The avionics system in the F-22 Raptor, the current U.S. Air Force frontline jet fighter, consists of about 1.7 million lines of software code. The F-35 Joint Strike Fighter, scheduled to become operational in 2010, will require about 5.7 million lines of code to operate its onboard systems. And Boeing’s new 787 Dreamliner, scheduled to be delivered to customers in 2010, requires about 6.5 million lines of software code to operate its avionics and onboard support systems.

These are impressive amounts of software, yet if you bought a premium-class automobile recently, ”it probably contains close to 100 million lines of software code,” says Manfred Broy, a professor of informatics at Technical University, Munich, and a leading expert on software in cars. All that software executes on 70 to 100 microprocessor-based electronic control units (ECUs) networked throughout the body of your car. — This Car Runs on Code

Disruptive innovation in terms of low-cost and high-quality can shape the market even before the launch. One such example is the technology developed by a 19-year-old Romanian high-school student, Ionut Budisteanu, who created a camera and radar system for autonomous cars that costs a fraction (10%) of the cost for the existing solutions. Or Edgar Sarmiento, a 24-year-old from Columbia, who designed a self-driving minibus and built it in weeks with Local Motors. Or recent advances by MIT which has reduced the large and expensive LIDAR to lidar-on-a-chip system that is smaller than a dime, has no moving parts, and could be mass produced at a very low cost to be used in self-driving cars, drones, and robots.

 

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What is an Autonomous Vehicle?

In the United States, the National Highway Traffic Safety Administration (NHTSA) has proposed a formal classification system:

  • Level 0: The driver completely controls the vehicle at all times.
  • Level 1: Individual vehicle controls are automated, such as electronic stability control or automatic braking.
  • Level 2: At least two controls can be automated in unison, such as adaptive cruise control in combination with lane keeping. Many of these features are available in cars today.
  • Level 3: The driver can fully cede control of all safety-critical functions in certain conditions. The car senses when conditions require the driver to retake control and provides a “sufficiently comfortable transition time” for the driver to do so.
  • Level 4: The vehicle performs all safety-critical functions for the entire trip, with the driver not expected to control the vehicle at any time. As this vehicle would control all functions from start to stop, including all parking functions, it could include unoccupied cars.

An increase in the use of autonomous cars would:

  • Increased roadway capacity and reduced traffic congestion due to reduced need for safety gaps and the ability to better manage traffic flow.
  • Reduce total number of cars by increased car-sharing, since an autonomous car can drop off a passenger at one location and go to a different location to pick up another. Also see Uber perpetual rides.
  • Higher speed limit for autonomous cars.
  • Greater efficiency with coordinate platooning using vehicle-to-vehicle and vehicle to infrastructure communications allowing for drafting, better mileage efficiency, faster transit times and coordinated traffic signaling.
  • Time-shifting freight traffic to off-peak hours, reducing congestion during peak travel times and increasing highway capacity.
  • Alleviation of parking scarcity, as cars could drop off passengers, park far away where space is not scarce, and return as needed to pick up passengers.
  • Reduction of physical space required for vehicle parking.
  • Elimination of redundant passengers – the robotic car could drive unoccupied to wherever it is required, such as to pick up passengers or to go in for maintenance. This would be especially relevant to trucks, taxis and car-sharing services.
  • Fewer traffic collisions, since unlike a human driver with limited situational awareness an autonomous car can continuously monitor a broad range of sensors (e.g. visible and infrared light, acoustic incl. ultrasound) both passive and active (LIDAR, RADAR) with a 360° field of view and thus more quickly determine a safe reaction to a potential hazard, and initiate the reaction faster than a human driver.
  • Avoid traffic collisions caused by human driver errors such as tail gating, rubbernecking and other forms of distracted or aggressive driving.
  • Relief of vehicle occupants from driving and navigation chores.
  • Removal of constraints on occupants’ state – in an autonomous car, it would not matter if the occupants were minors, elderly, disabled, unlicensed, blind, distracted, intoxicated, or otherwise impaired.
  • Reduction in the need for traffic police and premium on vehicle insurance.
  • Reduction of physical road signage – autonomous cars could receive necessary communication electronically (although physical signs may still be required for any human drivers).
  • Smoother ride.
  • Reduction in car theft, due to the vehicle’s increased awareness.
  • Removal of the steering wheel and remaining driver interface saves cabin space and allows a cabin design where no occupant needs to sit in a forward facing position

Individual vehicles may also benefit from information obtained from other vehicles in the vicinity, especially information relating to traffic congestion and safety hazards. Vehicular communication systems use vehicles and roadside units as the communicating nodes in a peer-to-peer network, providing each other with information. As a cooperative approach, vehicular communication systems can allow all cooperating vehicles to be more effective and increase efficiency of our existing roadway infrastructure thereby dramatically reducing traffic congestion. According to a 2010 study by the National Highway Traffic Safety Administration, vehicular communication systems could help avoid up to 79% of all traffic accidents.

In 2012, computer scientists at the University of Texas in Austin began developing smart intersections designed for autonomous cars. The intersections will have no traffic lights and no stop signs, instead using computer programs that will communicate directly with each car on the road.

Congestion and traffic operations can be reduced using autonomous vehicle through the use of sensors that can sense traffic flows by monitoring vehicle braking and acceleration through V2V monitoring. V2I monitoring can also be used to improve flow and safety in intersections and high-problem areas. These systems will utilize information from other vehicles, smart traffic systems and other forms of smart infrastructure, allowing for a much higher throughput of traffic and further reducing the risk of accidents through the use of predictive trajectory modeling.

 

It’s Faster?

While many light rail projects (including DOLRT) are justified on the basis that it is a fast and modern, the facts suggest otherwise.

For example, the Durham-Orange Light Rail Train project in 2011 projected 34 minutes to travel the 17 mile stretch connecting UNC Hospital to Alston in East Durham (with 12,000 daily boardings). The transit time in 2015 is now estimated to be 44 minutes +10 minutes at terminus (with 23,000 daily boardings) — an increase of 30% in travel time − and slower than the 39 minutes Bus Rapid Transit (BRT) alternative (that was dismissed in favor of LRT due to ‘speed’).

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The mean travel time to work according to the 2014 US Census is 21.5 minutes (Durham County) and 22.0 minutes (Chapel Hill). Now include the waiting time for the next train, the time to get to/from the station (via Park&Ride, Kiss&Ride, bicycle, walking, or bus transfer), it will even be LONGER. So how is this faster than the automobile that it is supposed to replace?

During hot summer days, light rail trains must slow down for safety to counter the expansion of the steel rails and overhead copper power lines − making DOLRT even slower.

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GoTriangle has demonstrated inherent light rail bias by comparing circuitous bus routes (that could be easily rerouted by GoTriangle to meet this ‘demand’) in order to justify their conclusions.

For example, if the intended route to connect UNC Hospitals with Duke University Hospital, Downtown Durham and Alston a more direct route along 15-501 would reduce distance by 10% and align with a high population density corridor that would support projected daily boardings.

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Environmentally Friendly?

While many environmentalists quickly point out the adverse impact of the automobile — they quickly gloss over the environmental impact of near-empty light rail trains. The environmental impact of light rail, as a system, is considerably worse. The automobile takes passengers directly point-to-point (from origin to destination), but light rail requires supplemental trips to/from the station, whether via park-and-ride, kiss-and-ride, or bus.

Many environmentalists support rail-based transit for environmental reasons, but to date only BRT projects have been certified as greenhouse gas-reduction projects by the Clean Development Mechanism defined in the Kyoto Protocol (see Bogotá and Mexico City).  Additionally, the volume of vehicle-specific emissions that LRT and electric trolley bus systems produce depends on how their electric power is generated. If the source is coal-fired power plants, then the system may actually produce more CO2 than normal diesel vehicles do, even though people are exposed to fewer emissions on the street. Buses are major producers of particulate emissions unless they use low-sulfur fuels, have particulate traps and clean engines, or run on some source of fuel that is an alternative to diesel.

Compared to rail systems, BRT systems also tend to be less intensive users of concrete and steel. Producing steel and concrete and building underground or elevated concrete structures generates a large amount of CO2. Many heavy-rail metro projects cannot reduce enough operations-related carbon emissions during their first twenty years to compensate for their construction-related CO2 emissions. Surface LRT generates less construction-related CO2 but still tends to generate more than a BRT project does. — ITDP study, More Development For Your Transit Dollar

Using the overly optimistic 27,000 daily boardings projection (revised with NCCU extension in 2040) running 150 train trips per day across the end-to-end 17.7 mile line will result in an average ‘load factor’ of 10 passengers per vehicle mile traveled; or utilize 2% of the 500 passenger capacity heralded by GoTriangle. So for every one train that travels at the cited 500 passenger capacity, there will be ~50 trains running empty. Low capacity utilization is not  environmentally or economically sound.

From an energy intensity perspective, this low utilization has a devastating impact on DOLRT energy efficiency. With an average of 10 passengers per mile results in 6327 BTU per DOLRT passenger mile (63265 BTU per vehicle mile / 10 passengers per mile) compared to 3144 BTU for car travel or 4071 BTU for bus transit. So per passenger mile, DOLRT uses over twice the amount of energy of an average car!

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SOURCE: US Department of Energy, Oak Ridge National Laboratory – Transportation Energy Data Book, Edition 34, page 2-19, Table 2.14

Due to the limited coverage of light rail stations, light rail requires altered bus routes to “feed the beast”. These feeders add cost, consume more energy, increase travel distance and increase travel times, while compounding the traffic congestion they are supposedly trying to alleviate. The light rail system is forced to provide an entire, high-capacity vehicle even when there are only a few riders.

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The inconvenient truth is that not a single light rail in the US carries as many passengers as a single highway lane. The myriad of alternatives, like walking, bicycling, carpooling, van-pooling, congestion pricing, telecommuting, flexible working hours, parking reform, pricing strategies to improve bus utilization, etc — largely ignored while the money and attention is consumed by light rail.

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The proposed Durham-Orange Light Rail train has NO new renewable energy requirement and electricity sourced from Duke Energy which has been repeatedly cited for environmental transgressions. Duke Energy generates electricity primarily with nuclear, gas (sourced from ‘fracking’) and coal power plants. The Political Economy Research Institute ranks Duke Energy 13th among corporations emitting airborne pollutants in the United States. The ranking is based on the quantity (80 million pounds in 2005) and toxicity of the emissions. When the high energy costs and carbon emissions during construction are counted, the light-rail line is far “browner” than autos and highways.

Forgetting greenhouse effects during construction?

Neglecting to take into account the emissions associated with constructing buildings like train stations and laying the tracks may make train travel appear far more environmentally friendly than it actually is, the authors found.

“Most current decision-making relies on analysis at the tailpipe, ignoring vehicle production, infrastructure provision, and fuel production required for support,” wrote the authors. “We find that total life-cycle energy inputs and greenhouse gas emissions contribute an additional 63 percent for on road, 155 percent for rail, and 31 percent for air systems,” relative to those vehicles’ tailpipe emissions. — How Green is Rail Travel?

Cement manufacturing releases CO2 in the atmosphere both directly when calcium carbonate is heated, producing lime and carbon dioxide, and also indirectly through the use of energy if its production involves the emission of CO2.The cement industry produces about 5% of global man-made CO2 emissions, of which 50% is from the chemical process, and 40% from burning fuel. The amount of CO2 emitted by the cement industry is nearly 900 kg of CO2 for every 1000 kg of cement produced. — Cement wiki