Introduction
Benefits of Cycling Mode of Transport:
- A bicycle won a speed competition in Chicago’s heavy traffic, overpowering a train, a personal vehicle, a bus, and a streetcar.
- Those who commute by bike reduce their risk of cardiovascular diseases, cancer, and all other causes of death by nearly half.
- Increased cycling means fewer cars on the road, which affects traffic.
- Net positive economic impact.
- Protected bike lanes cost only a fraction of taxpayer money compared to the same distance of road because cars take up more space and are much harder on the roads than bicycles.
- Fewer commuters are using gas-powered motor vehicles.
- Cycling reduces pollution and emissions.
Impacts of Cycling Transport on Space
- A parking spot can only fit one car, while the same space can fit six bikes, allowing more patrons to access the same area.
- Compared to motorists, cyclists have a higher average speeds due to standstill in heavy traffics.
- Cycling reduces car-cyclist collisions
Advantages of Bike Lanes
- After the application of bike lanes on Bloor St. in Toronto, collisions between cars and bikes were reduced by 71%.
- 19% fewer cars on main routes with bike lanes.
- Cyclists spend more than drivers.
- Bike lanes grow retail sales.
- Bike lanes allow cyclists, pedestrians, and motorists to feel safer on the road, with designated areas for each.
Topical Patterns Organizing Principle
A topical pattern is the most feasible organizing principle to arrange the outline in three sub-categories that fall within the larger category. While the principle topic is cycling transportation, the points in the outline can be categorized into the benefits of cycling transport, the impacts of bike lanes, and the impacts of cycling transport on traffic subtopics. I preferred a topical pattern since the information in the outline is consistent and does not include timelines, spaces, territories, problems, and solutions. Each category in the topical organization principle represents a single information section.
Subtopics in topical hierarchical patterns are organized from the most generalized to the least significant. The first category highlights the general benefits of cycling as a mode of transport in a comprehensive manner. Moreover, the arrangement of points in the sub-categories is systemic to create the flow of speech. For instance, the initial phase of the first sub-category expresses the foundation of the theory while capturing the reader’s attention. Systemic organization of the points in the sub-topics in the topical organization pattern establishes the main idea, purpose, and direction by starting with the necessary background information (Xamena et al., 2021). Therefore, sub-topics and points are arranged in hierarchical patterns to gain the audience’s interest, establish a logical flow of ideas, and establish more credibility.
The various contexts in which cycling has proven beneficial provide the basis for the proceeding sub-topics. Notably, emphasis subjects and keywords in the phrases guide the sub-heading. While the second subheading describes the implications of bicycle transport in effect to space efficiency and traffic, the third subheading is more detailed and reports the benefits of bike lanes. Considering the terms “bike lanes” are emphasized and repeatedly utilized in the outline, they represent a principal subject.
First, the subtopic benefits of cycling mode of transport indicate the potential, gross economic, and environmental benefits of bicycle transport. The outline contains notes explaining the impacts of cycling on space utility. Consequently, bike lanes are necessary for enhanced use of bike transport leading to the third subtopic of the advantages of bike lanes. Dividing the central topic into categories according to three contexts in which cycling has positive effects creates an organizational structure that is particular to the speech topic. The purpose of the sub-topics is to organize the content consistently by amalgamating chunks of relatable information to reinforce the primary purpose.
Reference
Xamena, E., Brignole, N. B., & Maguitman, A. G. (2021). Structural analysis of relevance propagation models. Knowledge-Based Systems, 234, 107563. Web.