In essay format answer the following questions:

After reading the chapter by Capri (2015) on manual data collection.  Answer the following questions:

What were the traditional methods of data collection in the transit system?

Why are the traditional methods insufficient in satisfying the requirement of data collection?

1. Give a synopsis of the case study and your thoughts regarding the requirements of the optimization and performance measurement requirements and the impact on the expensive and labor-intensive nature.

 

Traditional Techniques

A Transit system involves several traditional methods of gathering data (Capri, 2015). The main methods included direct and indirect personal interviews, questionnaires, enumerators, and local sources. Other methods include the use of invasive techniques, such as piezo-sensors and radars. The use of human surveyors in terrain and image analysis also form part of these traditional techniques of gathering data in transit systems.

Insufficiency of Traditional Techniques

Data collection involves several aspects, including completeness, relevancy, cost-effectiveness, and timeliness (Jain et al., 2019). Gathering data in a transit system is vital because it gives accurate and reliable traffic in the area (Capri, 2015). For instance, the collected data should give information related to the number of vehicles or journey time on the road. The use of invasive techniques, such as piezo-sensors, and other techniques, such as image analysis, form traditional methods. Such methods have several weaknesses that make them incapable of satisfying these needs. Such weaknesses included the high cost of gathering data. For instance, they required people to perform activities, such as interviews and enumerations. Such activities depend on weather conditions, and as such, the involved personnel must be equipped with the necessary equipment to overcome some harsh weather conditions. Lots of traveling form the basics of these methods. All these factors contributed to the high cost of these methods, making them incapable of satisfying the primary data collection requirements. Secondly, the quality of the gathered data relies on the individual expertise and capabilities of the persons gathering the information. When the personnel deployed to gather information lack the required credibility in data collection, the resulting information is thus skewed and unreliable. Thirdly, these methods involved surveys. Surveys are usually marred with fraud due to the dishonesty of some participants. This fraud makes the methods lack the required credibility of data collection.  

Synopsis and Thoughts

The case study details the various traditional techniques of collecting data in a transit system. These methods included direct and indirect interviews, enumeration, and the use of invasive techniques such as piezo-sensors (Capri, 2015). These methods enable reliable capturing of the situation of the traffic on the roads. However, these methods have some drawbacks that limit their ability to meet the basic requirements of data collection. Such factors include the low speed of data collection, high cost, and survey fraud. These drawbacks emanate from the primary requirements of having people on the ground taking the data manually or monitoring data collected through invasive techniques and the laborious transcription of this data into meaningful information. The case study proposes the use of automated techniques and technical gadgets to overcome these problems. The artificial intelligence natures of these techniques will enable them to obtain reliable and accurate data quickly. Continued use of traditional methods in transit systems poses the risk of infrequent analysis of information hence derailing the application of modern transport systems. The survey also provides several considerations when determining the proper method of collecting data in transit systems. These factors include accuracy and cost of methods.

Performance and optimization measurement requirements are essential when determining the proper techniques and gadgets in transit systems (Welch & Widita, 2019). For instance, the right technique should exude optimal performance while conserving resources. For instance, techniques with enabled artificial intelligence will reduce human labor and produce more accurate and reliable data. For instance, the artificial intelligence-enabled system combined with a camera, multi-modal tallying capability, and traffic pattern monitoring will yield high consistency, accuracy, and speed in data collection. The same system shall eliminate or reduce the labor-intensive nature of the traditional technique of gathering data in transit systems and promote the rollout of modern and automated transport systems. 

Traditional Techniques

• A Transit system involves several traditional methods of gathering data (Capri, 2015).
• The main methods included direct and indirect personal interviews, questionnaires, enumerators, and local sources.
• Other methods include the use of invasive techniques, such as piezo-sensors and radars.

Insufficiency of Traditional Techniques

• Data collection involves several aspects, including completeness, relevancy, cost-effectiveness, and timeliness (Jain et al., 2019).
• Gathering data in a transit system is vital because it gives accurate and reliable traffic in the area (Capri, 2015).
• The use of invasive techniques, such as piezo-sensors, and other techniques, such as image analysis, form traditional methods. Such methods have several weaknesses that make them incapable of satisfying these needs. Such weaknesses included the high cost of gathering data.

Synopsis and Thoughts

• The case study details the various traditional techniques of collecting data in a transit system. These methods included direct and indirect interviews, enumeration, and the use of invasive techniques such as piezo-sensors (Capri, 2015).
• These methods enable reliable capturing of the situation of the traffic on the roads.
• Performance and optimization measurement requirements are essential when determining the proper techniques and gadgets in transit systems (Welch & Widita, 2019).
• For instance, the right technique should exude optimal performance while conserving resources.