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Memorandum

To: Commissioner, NYCdot.

From: Student Name

Organizational Analysis and Equity Assessment

The purpose of the memo is to propose strategies and program for the New York City Department of Transport (NYCdot) that is significant in addressing the challenge of traffic congestion in New York City, especially during rush hours.

Introduction

The information about the NYCdot mandates in the transport industry includes ensuring that New York's traffic flows, especially during peak hours. The statistics indicate that there is still a challenge in New York City regarding traffic congestion during peak hours, which showcases that the outcome from NYCdot is not satisfying to road users. Huge, rapidly growing cities like New York and others worldwide will inevitably experience a rise in traffic congestion. Because of the way modern societies are structured, rush-hour traffic is unavoidable. It is a consequence of people's insatiable need to get where they are going, which causes daily gridlock on the world's roadways and public transportation networks. Nonetheless, traffic congestion has worsened despite attempts to improve the situation. The NYCdot commissioner should consider increasingly leveraging data analytics and technology to make its operations and interventions more effective and significant in having a good outcome (Zheng, 2017). Congestion in New York City during peak hours harms the state and federal government revenue generation. This demands that the problem be addressed more innovatively to have an amazing outcome. The executive commissioner should consider the adoption of the "Robot lanes traffic" as a data analytic and technological intervention that has been adopted in Shenzhen, China.

Current Outcomes

Many obstacles have arisen recently for NYCdot as it has attempted to address the city's peak-hour traffic congestion issues. Several measures were taken in an effort to ease traffic congestion. More people are thinking about walking and biking as a result of the intervention, and there are lanes specifically for those modes of transportation, but this has not resulted in fewer cars on the road. More people now have automobiles thanks to an expansion of the road system, which presents a new problem during rush hour. The use of AI and real-time data is another important intervention since it informs drivers of the weather, any accidents, and the best alternate routes to avoid any congestion that could have been avoided. The city's traffic, especially during rush hour when it's at its worst, still has some way to go before it can be reduced. Through the use of GPS tracking, NYCdot is able to evaluate the efficacy of its interventions by comparing the actual time it takes for vehicles to reach their destinations with the desired time (Zheng, 2017). There is also the measure of interviewing the motorists about the traffic flow during peak hours in New York, and their feedback is then analyzed to get the details of the effectiveness of the interventions. The solutions have served a few problems experienced in New York City, including reducing general traffic that is experienced, especially during the day but the peak hours traffic jam is still a challenge.

Equitable Outcomes

NYCdot executive including the commissioner has demonstrated significant maturity regarding hiring its staff and the professionalism in having leaders in place. For an extended period, the company has maintained good leadership skills where diversity in the workplace is prioritized. This has led to brilliant intellectuals who are currently determined to employ more data analytics to address the challenges in place. NYCdot has shown the importance of stakeholder partnership and involvement, which brings about equity in valuing the contribution of all the stakeholders, including the employees, making it possible for the interventions to succeed. The commissioner of NYCdot should consider putting more effort towards ensuring that the organization serves the interest of all, especially in the transport sector where pedestrians, motorists, and cyclists are not discriminated against when interventions are adopted.

Lane Robot Traffic

Lane Robot traffic is the proposed new technology that is characterized as effective for NYCdot to adopt and change New York City for the best, especially during peak hours. The Lane robot traffic uses technology to manage "reversible lanes," in which traffic flow can be reversed depending on conditions like rush hours. It is characterized by the guardrail having the ability to shift lanes of traffic as needed. The technology is the best for New York's notorious traffic during the rush hour, especially in the morning and evening (Zheng, 2017). The technology has been reported to have been adopted and implemented in Shenzhen, China. Along Shennan Road, the city's main east-west highway, the Shenzhen traffic police have deployed an army of 'lane robots' to manage a stretch of reversible lanes during rush hour. The method reduces the need for police officers to be on duty for extended periods during peak times in the morning and evening, but it also highlights the danger that robots bring to human jobs. The statistics have demonstrated that the number of vehicles on New York roads doubles during rush hours and demands for an intervention that clears the traffic and this would be effective using the robot lanes that allow cars to use complete lanes in the morning and the opposite in the evening to clear jam out of New York central district. The commissioner of NYCdot should consider the technology and data analytics strategy in solving the problem of traffic jams experienced in New York. Looking into the technology makes it possible that in scenarios where the vehicles that are heading away of the city in the morning are less compared, and most of the lanes that are moving out of the city are reduced and replaced with cars heading the city to clear the traffic and ease congestion (Zheng, 2017). Using the robots makes it more effective because they change the direction and guide the motorists about the lanes to use by moving the guard rails to open up or closing the lanes.

Current Team

The current NYCdot team headed by the commissioner has already started adopting the data and tech-driven approaches, which would contribute to growth in traffic management in New York. According to IBM research, 66 percent of companies that use big data say it gives them a competitive edge in the marketplace (IBM Corporation, 2014). The transportation sector is experiencing similar issues requiring significant data to address the challenges experienced, including traffic congestion during peak hours. The commissioner should be flexible enough to adopt data analytics and technology to develop innovative solutions to traffic jams during rush hours. It is demonstrated that the NYCdot in New York City might benefit from implementing big data analytics into their daily operations. It also shows how data visualization may assist improve stakeholder relationships, boost organizational performance, increase corporate transparency, reduce customer complaints, and boost efficiency (Abeyratne & Halgamuge, 2020). Several sections of this study also show that NYCdot has needed help utilizing big data analytics to detect internal issues and develop appropriate remedies. NYCdot should rely on data analytics and technology in considering robot lane traffic intervention that is already in use in China to bring a significant change in the city (Wu & Wang, 2014). Data analytics is there to prove a point, especially since more effort should be directed toward ensuring that the robot lane technology is a success.

SWOT Analysis

NYCdot s primary function is to manage the City's transportation system so that people, products, and vehicles can travel on its roads, highways, bridges, and waterways in a fashion that is safe, efficient, and environmentally responsible.

Strengths

· Conveniently located to public transportation.

· The Belt Parkway is available.

· Proximity to a shopping mecca.

Weaknesses

· There is a lack of rapid bus service.

· Certain streets are in disrepair.

· The subway, boardwalk, and beach should all be accessible to people using wheelchairs.

· Parking is extremely limited at Keyspan Park.

Opportunities

· Better connect Brooklyn and Queens with more frequent train service.

· Restore fast train service on the F and Q lines.

· The increase the number of bus routes (provide direct service).

· Considering adoption of lane robot to facilitate movement during rush hour.

Early Adopters

The technology has been reported to have been adopted and implemented in Shenzhen, China. The robot lane traffic technology has been reported to have been adopted in China, and a positive reputation is associated with it. The characteristics of its implementation are that traffic police are removed from the road of Shennan where the robots were effective, and a remote was just used to move the guard rails to allow a given lane or restrict it based on the data received about the traffic flow. In a direction where the traffic is high is when an additional route is allocated from the lane moving in the opposite direction being changed to clear the slow traffic.

Stakeholder Relationship and Big Data in NYCdot

The commissioner and managers at the NYCdot must cater to the wants of the people who support the agency the most and its stakeholders. Incorporating big data analytics into NYCdot operations would help management foster stronger bonds with employees. Workers, directors, subcontractors, and suppliers are all examples of stakeholders. Here, the organization should design NYCdot apps that would aid enhance its engagement with internal stakeholders in the same way it has with external stakeholders. One way to do this would be to improve the organization's annual presentation tactics by including novel data display capabilities (Raj et al., 2015). To meet the requirements of all parties involved, NYCdot could also utilize a thorough examination of organizational processes.

NYCdot Organization and Weaknesses

The “New York City Department of Transportation (NYCdot)” is the New York City's federal agency in charge of managing the majority of the city's infrastructural systems. It is responsible for the routine upkeep of all city roads and bridges as well as all walkways, traffic lights, and signs (Raj et al., 2015). NYCdot is responsible for managing municipal parking lots and ensuring that streets are maintained, repaired, and repaved. Everything from approving jitney van services to issuing permits for street construction is under NYCdot’ purview of transportation regulation. It also promotes traffic safety measures, such as the protection of pedestrians and cyclists. The NYCdot has the mandate of running the robot lane technology when New York authorities feel that its effectiveness would be of value to the problem present in the city. The NYCdot’s commissioner is responsible for training the employees and the traffic police on controlling the robot technology and the GIS technology that offers the data for effective traffic management. NYCdot is not ready for the introduced technology because they have no enough professionals and demands for further training to have them ready.

Risks, Challenges and Concerns

The risks of adopting robot lane traffic are that jobs would be lost for the traffic officers on the roads, resulting in a rise in unemployment in the city. The police officers were mandated before to control the traffic and change the lanes but they were less effective because of human error. Taking the initiative of replacing with robots that would change the lanes based on the traffic remove the responsibility from the traffic police and staff. During the lane changes some people would be disadvantaged during the lane reshuffle and late towards their destination in favor of the opposite side. The motive of the technology would be to clear traffic but this happen on the expense of other motorists. There is the challenge of cost since the technology is expensive and demands necessary training for the staff that would control it to have an effective outcome. Acquiring and implementing lane robots would demand more resources from NYCdot. The implementation would demand the involvement of many stakeholders to make it more accepted and embraced by the public. The stakeholder involvement makes the process long and time-consuming.

Partnership

There is a need for the New York City Department of Transport to partner with MTA to make sure that the infrastructure is in good condition and the robotic change of lanes becomes effective and valuable in reducing traffic during rush hours.

Recommendations

I recommend that the employees in NYCdot should undergo training on the needed skills about lane robot adoption and implementation. The preparation is of value because it results to preparing the employees to adopt the technology without resistance. Some of the staff should be taken for benchmarking in China lane robot to bring about the skills and expertise to New York.

References

Abeyratne, D., & Halgamuge, M. N. (2020). Applying big data analytics on motor vehicle collision predictions in New York City. Intelligent Data Analysis, 219–239. https://doi.org/10.1002/9781119544487.ch11

IBM Corporation. (2014). Big data and analytics in travel and transportation. Web.

Raj, P., Raman, A., Nagaraj, D., & Duggirala, S. (2015). High-performance big-data analytics: Computing systems and approaches. New York, NY: Springer.

Wu, Q., & Wang, X. (2014). Design and control of a humanoid robot for traffic guidance. Robot Intelligence Technology and Applications 2, 743–752. https://doi.org/10.1007/978-3-319-05582-4_65

Zheng, S. (2017, April 21). 'robot' technology employed to ease China's notorious traffic jams. South China Morning Post. Retrieved November 8, 2022, from https://www.scmp.com/news/china/society/article/2089478/robot-technology-helping-direct-traffic-southern-china?module=perpetual_scroll_0&pgtype=article&campaign=2089478