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Tag Archives: transportation engineering
Articles on examining the role of the planning profession in both perpetuating and solving traffic congestion
Planetizen recently published a three-part series of articles examining the role of the planning profession in both perpetuating and solving traffic congestion:
Part 1: Brasuell, J. (April 13, 2022) “Planning and the Complicated Causes and Effects of Congestion,” Planetizen, https://www.planetizen.com/features/116834-planning-and-complicated-causes-and-effects-congestion [Last accessed: 5/17/2022]
Part 2: Brasuell, J. (April 20, 2022) “How Planning Fails to Solve Congestion,” Planetizen, https://www.planetizen.com/features/116914-how-planning-fails-solve-congestion%5BLast accessed: 5/17/2022]
Part 3: Brasuell, J. (May 12, 2022) “Planning for Congestion Relief,” Planetizen, https://www.planetizen.com/features/117153-planning-congestion-relief?utm_source=newswire&utm_medium=email&utm_campaign=news-05162022&mc_cid=34b0612d40&mc_eid=9ccfe464b1 [Last accessed: 5/17/2022]
I think these articles are a must read especially for students (and not just practitioners or professionals) and is sort of a crash course on transportation engineering and planning. It covers many concepts and learnings from so many decades and touches on certain programs that are most effective in reducing car trips. To quote from the article, the top 12 programs based on case studies in Europe are:
- Congestion Pricing (12-33% reduction in city-center cars)
- Parking and Traffic Controls (11-19% reduction in city-center cars)
- Limited Traffic Zones (10-20% reduction in city-center cars)
- Workplace Mobility Services (37% drop in car commuters)
- Workplace Parking Charges (8-25% reduction in car commuters)
- Workplace Travel Planning (3-18% drop in car use by commuters)
- University Travel Planning (7-27% reduction in car use by university commuters)
- University Mobility Services (24% drop in students commuting by car)
- Car Sharing (12-15 private cars replaced by each shared car)
- School Travel Planning (5-11% reduction in car use for school trips)
- Personalized Travel Planning (6-12% drop in car use share among residents)
- App-Based Incentives (73% – proportion of app users declaring reduced car use)
Are we ready to confront congestion and at the least start discussing these car trip reduction programs? Or are we content with the current discourse, which remains car-centric?
Is it difficult to understand the phenomena of induced demand?
I’m sharing a recent article that laments about how transport departments in the US seemingly don’t understand the concept and phenomena of induced demand. Is it really difficult to understand or are transport officials including highway planners and engineers deliberately ignoring what’s staring them in the face?
Zipper, D. (September 28, 2021) “The Unstoppable Appeal of Highway Expansion,” Bloomberg City Lab, https://www.bloomberg.com/news/features/2021-09-28/why-widening-highways-doesn-t-bring-traffic-relief [Last accessed: 10/10/2021]
The topic in the article is very much applicable to our own Department of Public Works and Highways (DPWH). The DPWH’s key performance indicators (KPIs) need to change from the typical “kilometers of road constructed” or “lane-kilometers of roads widened” to something like “travel time between points A and B”. Agencies like the DPWH always like to claim they are for solving traffic congestion but we already know widening roads just won’t cut it. It has to be more comprehensive than that and involve the entire transport system rather than just a part (i.e., the road). And it has to be a collaborative effort with various other agencies like the Department of Transportation (DOTr) and local government units. Unfortunately, too, these agencies like the DOTr and those under it, and many (not all) LGUs also like to go at it solo so we end up with piecemeal solutions that are also often out of context.
On the burdens of car dependence
Here is a quick share today. This is another excellent article from Todd Litman who makes a great argument for why planning should move away from its being car-centric and contribute towards a significant reduction in society’s dependence on cars.
Litman, T. (December 15, 2020) “Automobile Dependency: An Unequal Burden,” Planetizen.com, https://www.planetizen.com/node/111535?utm_source=newswire&utm_medium=email&utm_campaign=news-12212020&mc_cid=e746a044a3&mc_eid=9ccfe464b1 .
Much have been said and written about this topic in many platforms including social media but in many of these, I noticed that the discussion often deteriorated into hating or shaming exercises rather than be convincing, constructive arguments for reforms in planning and behavior and preference changes in transport modes. Litman is always very fair and comprehensive and employs evidence or facts in his articles that should be clear for most people to understand. I say ‘most people’ here because there are still many who are among those considered as “fact-resistant”. Happy reading!
Research topics in the time of Covid-19, Part 1
It’s that time of year again when I usually write about research topics. I am tempted to share the updated research agenda our group prepared for our students at UP but perhaps a quick list would do for now. I guess the most relevant topics are those related to the Covid-19 pandemic including those about transport during the lockdown and post-ECQ. Here are some initial ideas about such relevant topics to take on:
- Public transport supply and demand, operations – there are many topics that can be developed under this including those relating supply and demand. For example, it would be interesting to have a research assessing the supply of public transport modes with respect to the demand from the lockdown (ECQ to MECQ) to its easing (GCQ to MGCQ). Included here would be topics tackling the attempts at rationalizing transport routes (e.g., the introduction of bus services where there was none before, the continuing restriction for conventional/traditional jeepneys, etc.). For those into transport economics and finance and even policy, perhaps the service contracting scheme can be studied further and its different aspects meticulously and objectively examined. What are its limitations? What are the critical assumptions that need to be realized for it to be most effective and not abused or mismanaged?
- Traffic engineering and management – there were suddenly many issues pertaining to this during the lockdowns. Among these were traffic management in the vicinity of checkpoints where queuing theory among other principles could have been applied in order to reduce congestion.
- Active transportation – the DPWH already came out with guidelines for bike lanes along national roads. These will surely be used as reference by local government units (LGU) as they are obliged by a DILG memo to develop facilities for active transportation. Active transport here refers mainly to walking and cycling but in other cases have come to include the use of personal mobility devices (PMD). Much research is to be done for designs, users’ preferences, behavior in traffic, safety and other topics such as those relating active transport with public transport (e.g., as a last mile/kilometer mode for most people).
- Level of service (LOS) – I had a nice, brief exchange about LOS and the notion that it is outdated. I believe it is not and many who parrot the notion lacks a deeper understanding not just of LOS but the principles, assumptions and data that goes into transportation and traffic analysis. Perhaps a multi-modal LOS criteria can be developed for the Philippines? If so, what parameters or measures can be used to describe our own LOS? What modes and facilities will be evaluated according to this? And how can solutions be developed with respect to such.
Of course, there are just so many of the traditional topics to take on. There will always be a backlog regarding these topics. In the sequel to this article, I will try to identify other topics for transportation research that can be considered as well as recall “old” topics that are still necessary regardless of the pandemic.