Evaluation And Mathematical Model Parking Needs In The Medan City Market

Feb 27, 2025 by ADMIN 73 views

Introduction

The Medan City market is a bustling hub of activity, attracting a large number of visitors and vendors every day. However, the market's unique characteristics, such as the number of visitors and traffic congestion caused by vehicle parking along the road, pose significant challenges to the smooth operation of the market. The initial survey results show that the parking area in several markets has not been fully filled, with a number of vehicles parking on the shoulder of the road, exacerbating traffic flow conditions and causing interference with the smooth running of traffic. This study aims to evaluate parking conditions by comparing parking needs and the availability of parking spaces, as well as analyzing the factors that affect parking needs in the market.

Research Objectives

The main purpose of this study is to assess the condition of parking by comparing the needs with the availability of parking lots. This study also aims to:

Assess the availability of existing parking spaces with stipulated regulations. This involves evaluating the number of parking spaces available in each market and comparing it with the stipulated regulations.
Identify excess parking on the road body. This involves analyzing the number of vehicles parking on the shoulder of the road and identifying the factors that contribute to this phenomenon.
Develop a mathematical model that illustrates the relationship between parking needs and market physical infrastructure, as well as parking demands related to the type of merchandise and the number of households around the market. This involves developing a mathematical model that can predict parking needs based on various factors, such as market physical infrastructure, type of merchandise, and number of households.

Methodology

Evaluation of parking needs is carried out to organize a better parking system. The methods used in this study include:

Cumulative measurement: The number of vehicles that enter and exit the parking area in an interval time of 15 minutes.
Measurement of the area of the parking area is effective in accordance with the Decree of the Director General of Hubda No. 272/HK.105/DR/96. This involves measuring the area of the parking lot and comparing it with the stipulated regulations.
Calculation of excess parking: This involves calculating the difference between the needs and availability of parking space.
Analysis of mathematical models uses SPSS 15.0 software to find significant relationships. This involves using statistical software to analyze the data and identify significant relationships between parking needs and various factors.

Evaluation Results

The results showed that:

In the Bhakti and Sei Sikambing Market, parking needs are greater than the availability of parking areas, each of 122% and 105%. This indicates that the parking area in these markets is not sufficient to meet the needs of visitors.
Conversely, in the Halat and Titi Kuning Market, parking needs are smaller than the availability of parking areas with a percentage of 48% and 34%. This indicates that the parking area in these markets is sufficient to meet the needs of visitors.
All markets under study have the availability of a smaller parking lot than those regulated by regulations, namely 10.8%, 16.9%, 13.2%, and 35.4% for the Bhakti, Halat, Sei Sikambing, and Titi Kuning markets. This indicates that the parking area in all markets is not sufficient to meet the needs of visitors.
Parking on the road body in the Bhakti Market, Halat, and Sei Sikambing shows a higher value than excess parking, while Titi Kuning Market does not experience excess parking or parking on the road. This indicates that the parking area in these markets is not sufficient to meet the needs of visitors, and parking on the road body is a common phenomenon.

Mathematical Model

The mathematical relationship between parking needs (Y) and the area of market infrastructure (X1-X7) can be expressed by the linear regression equation: ${y = 10.185 + 0.405x4}$ Where ${x4}$ is the ratio between the existing market building area and the total market building area in the area. However, there is no significant regression equation found between parking needs and the type of merchandise and the number of existing households.

Conclusion

From this study, it can be concluded that the parking conditions in the Medan City market still need to be improved. Limitations of parking areas in accordance with regulations can cause traffic congestion problems. Therefore, it is important to manage and design a more effective parking system so that the smooth flow of traffic can be maintained. The mathematical model produced can be used as a prediction tool for managing future parking needs.

Recommendations

Based on the findings of this study, the following recommendations are made:

Improve the parking area in the Medan City market. This can be done by increasing the number of parking spaces or by designing a more efficient parking system.
Develop a more effective parking management system. This can be done by implementing a parking management system that can predict parking needs and allocate parking spaces accordingly.
Conduct further research on parking needs and parking demands. This can be done by conducting a more in-depth study on the factors that affect parking needs and parking demands.

Limitations of the Study

This study has several limitations, including:

Limited data: The data used in this study is limited to the Medan City market, and may not be representative of other markets.
Methodological limitations: The methods used in this study may not be comprehensive, and may not capture all the factors that affect parking needs and parking demands.
Theoretical limitations: The theoretical framework used in this study may not be comprehensive, and may not capture all the factors that affect parking needs and parking demands.

Future Research Directions

Future research on parking needs and parking demands should focus on:

Developing a more comprehensive theoretical framework. This can be done by incorporating more factors that affect parking needs and parking demands.
Conducting a more in-depth study on parking needs and parking demands. This can be done by collecting more data and using more comprehensive methods.
Developing a more effective parking management system. This can be done by implementing a parking management system that can predict parking needs and allocate parking spaces accordingly.

Introduction

Q: What is the main purpose of this study?

A: The main purpose of this study is to assess the condition of parking by comparing the needs with the availability of parking lots in the Medan City market.

Q: What are the research objectives of this study?

A: The research objectives of this study are:

To assess the availability of existing parking spaces with stipulated regulations.
To identify excess parking on the road body.
To develop a mathematical model that illustrates the relationship between parking needs and market physical infrastructure, as well as parking demands related to the type of merchandise and the number of households around the market.

Q: What methods were used in this study?

A: The methods used in this study include:

Cumulative measurement
Measurement of the area of the parking area is effective in accordance with the Decree of the Director General of Hubda No. 272/HK.105/DR/96
Calculation of excess parking
Analysis of mathematical models uses SPSS 15.0 software to find significant relationships

Q: What were the results of this study?

A: The results of this study showed that:

In the Bhakti and Sei Sikambing Market, parking needs are greater than the availability of parking areas, each of 122% and 105%.
Conversely, in the Halat and Titi Kuning Market, parking needs are smaller than the availability of parking areas with a percentage of 48% and 34%.
All markets under study have the availability of a smaller parking lot than those regulated by regulations.
Parking on the road body in the Bhakti Market, Halat, and Sei Sikambing shows a higher value than excess parking, while Titi Kuning Market does not experience excess parking or parking on the road.

Q: What is the mathematical model developed in this study?

A: The mathematical relationship between parking needs (Y) and the area of market infrastructure (X1-X7) can be expressed by the linear regression equation: ${y = 10.185 + 0.405x4}$ Where ${x4}$ is the ratio between the existing market building area and the total market building area in the area.

Q: What are the implications of this study?

A: The implications of this study are:

The parking conditions in the Medan City market still need to be improved.
Limitations of parking areas in accordance with regulations can cause traffic congestion problems.
It is important to manage and design a more effective parking system so that the smooth flow of traffic can be maintained.

Q: What are the recommendations of this study?

A: The recommendations of this study are:

Improve the parking area in the Medan City market.
Develop a more effective parking management system.
Conduct further research on parking needs and parking demands.

Q: What are the limitations of this study?

A: The limitations of this study are:

Limited data
Methodological limitations
Theoretical limitations

Q: What are the future research directions?

A: The future research directions are:

Developing a more comprehensive theoretical framework
Conducting a more in-depth study on parking needs and parking demands
Developing a more effective parking management system

Conclusion

The evaluation and mathematical model parking needs in the Medan City market is a complex issue that requires a comprehensive approach. This study has provided insights into the parking needs and parking demands in the Medan City market, and has developed a mathematical model that can be used to predict parking needs. However, there are still many limitations and challenges that need to be addressed in order to improve the parking conditions in the Medan City market.