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When I was living in Japan in the late 1990s and again in the early 2000s, I recall walking a lot every day. I felt healthy then not just because I thought I ate well but I had a lot of exercise, too. I consciously walked and jogged in the mornings and/or afternoons depending on the weather. And my commute included walks between my train station and the university. The following article seems to support what should be a healthy lifestyle without gym time.
Okumura, K. (November 6, 2020) “How Japanese People Stay Fit for Life, Without Ever Visiting a Gym,” Medium.com, https://kokumura.medium.com/how-the-japanese-exercise-to-stay-youthful-be2d6105e6e6.
I tried to estimate the number of steps I took on average each day. It seems I could easily make more than 10,000 steps everyday as I usually walk more than 6,000 steps for my commute and the typical walks in and around campus (including lunch time strolls with friends). My morning and afternoon walks can match this 6,000 steps. These can even be more during weekends when I’m out in the city or in Tokyo to be with friends. These steps seem nothing then and I loved to walk around partly to keep my sanity while studying there.
When I was visiting researcher later at another university, my step count was about the same if not higher. The only difference perhaps between Yokohama and Saitama was that I had a bicycle when I was in Saitama. The bicycle increased my range and I took the bicycle lent to me by friends to dome groceries or explore the nearby wards. Those were the days, I guess, that I wished I still have now in terms of more active transportation.
The Institute for Transportation & Development Policy (ITDP) released a new tool for assessing walkability and presents good practice examples from many cities around the world. The tool can be used to assess and/or compare your city, a neighborhood or a street with others. Here is the link to the ITDP’s tool:
There is an introductory article that came out recently from Planetizen about this tool:
Litman, T. (October 16, 2020) ‘Pedestrians First’ Measures Walkability for Babies, Toddlers, Caregivers, Everyone. Planetizen. https://www.planetizen.com/node/110876?utm_source=newswire&utm_medium=email&utm_campaign=news-10192020&mc_cid=1736ec624f&mc_eid=9ccfe464b1
Here’s a nice link to a National Academies of Science, Engineering and Medicine pointing to the wealth of researches supporting improvements for active transportation:
The references listed should aid researchers, practitioners, advocates and policymakers in their work towards realizing a people-oriented vs car-centric transportation.
The UN together with its partners recently launch a Second Decade of Action for Road Safety (2021-2030). I will share the statement in a subsequent post. For now, I will share some slides from the recent webinar organized by UNICEF that focuses on safe and healthy journeys for children. Those of us who are working directly with UN agencies have been working on safe journeys for children particularly as they travel between their homes and schools. The recent launch and pledges or commitments of support from partner organizations will surely reinforce efforts to ensure the safety of children whether or not they return to school.
Context setting or rationale for UNICEF’s initiatives
Key resources or references shared by the webinar host
The term ‘co-benefits’ reminded me of a past project I worked on that was about low carbon transport. We also did assessment using co-benefits of low carbon transport. Among these were road safety.
The slide and the table speaks for itself – examples of effective strategies
There were several presentations during the webinar. However, the most interesting and informative for me was this one about the guidance for safe and healthy journeys to school.
Ten (10) points to consider as guidance for safe and healthy journeys to school
Database initiative in support of the guidance (I will get the link to this and share it in a future post.)
An example from London’s experience
This is a slide on what cities can do to promote active transport among children.
The photo shows what is termed as a “bicycle school bus”. This and “walking school bus” are real options for children and their guardians when traveling between their homes and schools. Such underlines the option of not using motor vehicles (i.e., reduction in motor vehicle trips).
I will try to elaborate on these in future posts, particularly on the 10-point guidance.
There is evidence, and they are increasing, for the benefits of shared roads. Here is another quick share of an article supporting that:
Brown, M (2020) “Shared-use roads improve physical distancing, research shows,” Medical Xpress, https://medicalxpress.com/news/2020-07-shared-use-roads-physical-distancing.html%5BLast accessed: 7/30/2020]
With the situation in the Philippines and particularly in Metro Manila appearing to be worsening rather than improving, national and local governments should take heed of the evidence for shared-use roads and the importance of active transport to ensure people’s mobility will not be hampered. This is particularly important for our frontliners and other essential workers if we are to survive this pandemic.
Here is another quick post where I am sharing an article on the bicycle as the future of transport:
Dans, E. (2020) “Whichever way you look at it, the bicycle is the future of urban transport”, medium.com, https://medium.com/enrique-dans/whichever-way-you-look-at-it-the-bicycle-is-the-future-of-urban-transport-c40157625115 [Last accessed: 7/17/2020]
I’ve posted about this idea before here and on social media. While some people were engrossed or obsessed about self driving cars, I was asking them how this could be the future of transport when all this leads to is more cars on the roads, and perhaps roads designed to accommodate these vehicles. The evidence vs. self driving cars was already there and the pandemic only emphasized how this could not be the future of transport. Instead, we have something more basic and not even motor-powered – the bicycle. Come to think of it, there is also walking. But then the bicycle is more energy efficient and can take you over longer distances than your feet.
I recently gave a talk on transport in the new normal. There are a lot of materials that you can refer to if you want good visuals for a presentation. It helps to capture the attention and maybe the imagination of your audience, which in this case was varied. While I assume many to be in the physical, chemical & social sciences, and engineering, I knew that there were also people from media and those who were just interested in the topic. And so I made sure there were a lot of infographics mixed in with bullet points to drive the message clear about mass transit systems being the backbone of transport in highly urbanized cities, conventional transit like buses and jeepneys supplementing and complementing these, and active transport enabled and encouraged as a safe option for many.
I wasn’t able to include the following graphic shared by a friend advocating bicycle use especially for work and school trips. The following graphic comes from TUDelft, which is among the major universities in the forefront of research in transit and cycling. Clicking on the graphic will take you to their Facebook page and more links to their programs.
Note the essential information relating bicycles and transit in the graphic. Do we have similar data in the Philippines (or at least for the National Capital Region)? I hope this stirs interest for research work. There are a lot of topics to take on including even data collection to capture the information required for substantial studies on cycling, transit and their relationship.
Here are some references regarding the use of face shields. Again, I post these here also for my easy reference whenever I need to search for such in the work I am doing or will be doing.
- Perencevich, E.N., Diekema, D.J. and Edmond, M.B. (2020) “Moving Personal Protective Equipment Into the Community – Face Shields and Containment of COVID-19,” JAMA Network, https://jamanetwork.com/journals/jama/fullarticle/2765525 [Last accessed: 5/25/2020]
- Lindsley, W.G., Noti, J.D., Blachere, F.M., Szalajda, J.V. and Beezhold, D.H. (2020) “Efficacy of Face Shields Against Cough Aerosol Droplets From a Cough Simulator,” Journal of Occupational and Environmental Hygiene, 2014;11(8):509-18.
- Mundell, E.J. (2020) “Face shields a more effective deterrent to COVID?”, WebMD, https://www.webmd.com/lung/news/20200430/face-shields-a-more-effective-deterrent-to-covid#1 [Last
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.
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…