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Infographics: Infection Risk Classification of Transport Modes Post-ECQ

The infection risk table I posted a few days ago was improved into the following infographics:

COVID-19 Infection Risk Assessment of Transport Modes

I posted about the work we have been doing to assess the infection risk (i.e., spread of COVID-19) for various modes of transport considering the transition of many areas including the National Capital Region (NCR) to the General Community Quarantine (GCQ). The work was undertaken through the Transportation Science Society of the Philippines (TSSP), which is under the umbrella of the Eastern Asia Society for Transportation Studies (EASTS). Here is the outcome in the form of an “Infection Risk Classification of Transport Modes or Vehicle Types” developed by a core group of public transportation and road safety specialists among its members:

Note again that this is the product of a rapid assessment using the mentioned criteria and factors. It is a qualitative assessment and a quantitative one, given the data, would obviously been preferred. Moreover, this is an assessment for risk of infection rather than for road safety. In the “old normal”, for example, cycling and motorcycle use may have a higher risk in traffic given traffic mix, human behavior and lack of facilities to make these modes safe.

Assessing the risk of infection from the transport safety perspective

My colleagues and I have been developing a risk assessment table for land transport modes to be submitted to the UP COVID-19 Response Team. We did a rapid assessment using mainly concepts from road safety.

The concepts are fairly simple. Risk assessment can be based on the likelihood of contracting the virus gauged from certain exposure factors. Exposure estimation may be quantitative where metrics are applied and data collected for the analysis. Estimation may alternatively qualitative based on experiences, perceptions, expert opinions, etc. but subject to logic (e.g., careful deduction). In road safety, for example, these factors may be defined as three: time, distance and volume.

Time exposure can be determined using travel time as a metric. Longer the travel times mean higher exposures for a commuter. Higher exposure translate to a higher likelihood that a person may become involved in a road crash. Thus, a commuter traveling for 1 hour, one way, will have a higher likelihood of being involved in a crash compared to another traveling only 10 minutes even assuming that both use the same mode of transport. Applied to the risk of viral infection, longer commutes may mean people can have higher exposure to potential carriers of the virus.

Distance exposure can be determined using travel distance as a metric. Longer travel distances mean higher exposures for a commuter. Higher exposure again translate to a higher likelihood that a person may become involved in a road crash. Thus, a commuter with a travel distance of 10 kilometers will have a higher likelihood of being involved in a crash compared to someone traveling only 1 kilometer. Applying this to the risk of viral infection is similar to the previous case for time exposure even when assuming the same mode of transport.

Volume exposure can be determined using both the volume of vehicles as well as the number of passengers inside the vehicles. The more vehicles or people you have on the roads interacting, the higher the likelihood of one becoming involved in a crash. It can also be argued that riding public transport in high volume, mixed traffic makes a passenger have a higher likelihood of being involved in a crash. Again, applying this to the risk of viral infection, it should be easy to understand why physical distancing is necessary in vehicles as well as outdoors when walking or cycling. It should also extend to having less vehicles on the road to further reduce the likelihood of spreading the virus.

In the real world, we cannot isolate each factor from one another. Instead, we have to contend with all three combining to create various scenarios. Along expressways, for example, the volume of vehicles might be high and so are distances. Time exposure can be lower due to high speeds. Yet high speeds can contribute to increased likelihood of crashes. Meanwhile, traffic congestion has all the ingredients for maximizing the likelihood for crashes and, by extension, viral infection. Long commutes (by time and distance) plus high volumes of people and vehicles combine to create the worst case scenario from the perspectives of both road safety and infection, which are both public health issues.

Next – Why we should not return to the old normal…

On urban planning resources or references for the pandemic

I am posting for reference this article compiling helpful references for urban planning in the context of the COVID-19 pandemic. Most of the references listed are based on the US experience and I am sure there is already a wealth of information coming from other countries as well including those that have been successful in mitigating the effects of the pandemic.

Brasuell, J. (2020) “Urban Planning Resources for COVID-19”, Planetizen, https://www.planetizen.com/node/109238?utm_source=newswire&utm_medium=email&utm_campaign=news-05142020&mc_cid=2e155996b6&mc_eid=9ccfe464b1 [Last accessed: 5/16/2020]

 

On the DOTr GCQ Guidelines for Public Transportation – Road Sector

I just wanted to post, share and document here the DOTr’s Guidelines for Public Transport Operations for areas under General Community Quarantine (GCQ). The images are self explanatory so I will not discuss these nor will I offer a critique at this point. The following are public and posted on DOTr’s social media pages (i.e., Facebook) and have been shared and circulating among the public. I also post it here for future reference as I do to many other references like articles and infographics.

Reference on Bicycle Facility Preferences and Increasing Bicycle Trips

There are many references that are free for downloading. These include the latest publications from the National Academies Press that includes outputs from the National Academies of Sciences, Engineering and Medicine. I am sharing here and posting also as a reference for me to return to a new publication from the National Cooperative Highway Research Program:

NCHRP Research Report 941: Bicyclist Facility Preferences and Effects on Increasing Bicycle Trips by Watkins, Clark, Mokhtarian, Circella, Handy and Kendall.

https://www.nap.edu/catalog/25792/bicyclist-facility-preferences-and-effects-on-increasing-bicycle-trips?utm_source=NASEM+News+and+Publications&utm_campaign=79720e1f2f-NAP_mail_new_2020_05_04&utm_medium=email&utm_term=0_96101de015-79720e1f2f-106035917&goal=0_96101de015-79720e1f2f-106035917&mc_cid=79720e1f2f&mc_eid=ac92e6afc0

The research was supported by the American Association of State Highway and Transportation Officials (AASHTO) in cooperation with the Federal Highway Administration (FHWA).

On public transport services during the pandemic

I’ve read a lot of discussions and recommendations pertaining to public transportation services (mainly its lack thereof) during the Enhanced Community Quarantine aka lockdown in most parts of the Philippines. Problem is, a lot of people had their mobility curtailed as most people did not have their own private vehicles (cars or motorcycles) to do essential trips (i.e., for groceries, market, drugstores, hospitals, etc.). These include so-called frontline workers, most especially those working in hospitals or clinics. Even the use of tricycles on a limited basis while adhering to physical distancing guideline was not allowed in many cities and municipalities. What do we really need to do now and in transition to address the lack of public transport services?

Here is a concise yet very informative article on transit:

Walker, J. (2020) “Cutting Transit Service During the Pandemic: Why? How? And What’s Next?”, Human Transit, https://humantransit.org/2020/04/cutting-transit-service-during-the-pandemic-why-how-and-whats-next.html [Last accessed: 4/23/2020]

Most of the points discussed and recommendations presented are applicable to our case in the Philippines. We should also accept the fact that we cannot go back to the situation prior to the ECQ, and that the new normal calls for a reduction in car use. Meanwhile, we still have to address the pressing issues and come up with a plan or maybe strategies for public transport that involved not just buses and trains but other modes as well like the jeepneys, vans and tricycles.

On Pasig’s ordinance promoting and supporting the use of bicycles

I am posting a couple of LGU issuances that would be good references to other LGUs as we all tread along through these quarantines, curfews and lockdowns (or whatever it is they call it these days). First off is the Ordinance from Pasig City. The city has been in the news quite frequently for the very progressive, responsible and active handling of the situation led by its popular mayor Vico Sotto. His policies and programs are claimed to be based on data or information on his constituents that his team is using with much efficiency. This shows us how data analytics can prove useful in times of crisis such as the Covid-19 pandemic. The ordinance also shows a grasp of realities for transport and the so-called “new normal” that people have been talking about once we transition out of the quarantines and lockdowns.

 

I guess it begs the question if Pasig is also coming out with a formal policy or statement regarding other modes of transport such as tricycles, jeepneys and buses. They did allow tricycles for a while until national government told them to cease tricycle operations citing health issues while not really delving into details to find a way to improve people’s mobility during these times. Meanwhile, other LGUs specifically one that is close to the President’s heart has defied the very same orders from national agencies to restrict tricycle operations as public transport. I will post that issuance next…

On changes in traffic patterns after the pandemic

We start April with a nice article from Cities of the Future. The article explains how traffic patterns will be changing due to Covid-19. They have already changed for most of us who have to deal with quarantines and lockdowns. And we should not expect things to go back to normal. “Normal” here, of course, is “Business As Usual” or was that. It is quite clear that we cannot and should not go back to BAU and it is probably going to be good for most of us. There will definitely be a lot of adjustments and sacrifices especially for commuters who have been dependent on cars for travel. The transport industry, too, will have to deal with the new supply and demand dynamics. And government should be up to the task of engaging and rethinking how policies and regulations should evolve to address issues coming out of the “new normal” in transportation.

Valerio, P. (2020) Traffic patterns are going to drastically be very different, says Micromobility expert , Cities of the Future, https://citiesofthefuture.eu/traffic-patterns-are-going-to-drastically-be-very-different/ [Last accessed: 4/3/2020]

Statement of the Philippine Competition Commission on Motorcycles as Public Transport

Here is the link to the press statement of the Philippine Competition Commission on Motorcycles as Public Transport:

I will just leave this here as it stands on its own with the details and discussions provided by the PCC. I will comment on this in another post but in essence I agree with the statement, which I think is a better document in terms of provisions and clarity compared to what the TWG has released so far.