Location of multi-storey parking lot using AHP and OWA fuzzy model

Number of pages: 168 File Format: word File Code: 30879
Year: Not Specified University Degree: Master's degree Category: Geography - Urban Planning
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    Dissertation for Master's Degree (M.A)

    Trend: Remote Sensing and Geographical Information Systems

    Abstract

    Uneven growth and unprincipled urban development due to the incompatibility between different urban uses and the lack of urban unit management has caused problems in the urban system in Region Three (in the area of ??Vanak Square). urban, has caused problems in the transportation system and urban traffic, so that by occupying the roads by marginal stops, the smooth traffic in the studied area has become a problem, and the need to increase the capacity of the roads and allocate more space to the smooth traffic has made it necessary to locate suitable places for the construction of non-marginal parking lots in order to reduce the amount of marginal stops in this area. suitable locations for parking lot construction and by applying restrictions such as the distance from faults and unsuitable uses for parking lot construction, it has been tried to determine the optimal and suitable places for parking lot construction in the study area using geographic information system or GIS. For this purpose, first, the effective criteria in locating multi-storey parking lots are weighted using Hierarchical Analysis Process or AHP, and according to the resulting weights, the best place for parking lot construction is determined using the Ordered Weighted Average method. Fuzzy OWA and the combination of two methods AHP and OWA (FUZZY AHP-OWA) have been determined. And finally, it was observed that the FUZZY AHP-OWA method gives us more accurate and scientific results.

    General research

    1-1 Introduction

    Cities are places with high population density, concentration of economic activities, and complex spatial structures that are supported by the urban transportation system. High traffic volume is one of the most common urban transportation problems in big cities. It increases the park in places that are often unable to respond to such needs (Viana, 2004, 14). Standing traffic is one of the major problems in transportation, which is considered as one of the main problems of some big cities today (Hensher, 2001, 179). Parking lots are one of the urban infrastructures that have not been paid much attention to. The lack of parking in cities has caused cars to stop on the side streets (marginal parks), so the surfaces that should be available for vehicular traffic have turned into stopping places, which actually increases road traffic (Metkan, 2014, 14).  Nowadays, finding a parking place is one of the main problems in big cities with dense population (Benson, 2008, 433), using new technologies such as the construction of multi-storey parking lots is the answer to the above problem. By using this type of parking lots, it is possible to apply optimal management in increasing the service to a large volume of cars (Nakheipour, 2019, 50). Locating multi-story parking lots is one of the basic needs of today's cities, especially large cities. If this action is carried out without considering the effects and mutual relations between uses, it may not only not reduce the existing problems but also cause many other problems (Nayini, 2013, 35). What should be given serious attention is the optimal space-spatial location of the new parking lots so that they are highly efficient. In terms of the trans-regional role of many uses, the six districts of the three cities of Tehran, relying on the main and secondary arterial roads in the majority of the day, especially during peak traffic times, are faced with a heavy influx of cars and slowness of traction, the most important reasons of which are the lack of proper phasing of movements in the intersections, the lack of control and organization of the marginal park, especially the lack of parking. Since in most of the localizations done in the traditional way and taking into account limited criteria, the purpose of this research is to combine quantitative and qualitative criteria using the fuzzy model and choose the best spatial-spatial range for the construction of multi-story parking in the study area. 1-2 Statement of the problem (the main research problem)

    Taking into consideration the fact that the amount of time each car stops is usually more than the time it moves and also that, Each personal vehicle spends only 5 to 10 percent of its life in motion, the need to create more neighborhood parking lots is felt (Tehran city, 130, 2008).. The city of Tehran is one of the cities where these issues are highly visible, in this city huge amounts of national fuel, people's time and money are wasted every day to search for an empty space for parking and to obtain a safe space for long-term night parks. Many of the existing parking lots in this city are not proportionally compatible in terms of size and location with nearby uses, and the desirability and efficiency of the location have not been taken into account.

    Today, the location of public parking lots is done in a traditional way and taking into account a limited number of effective parameters such as the price of land and the problem of land release, which causes the lack of proper efficiency of these parking lots. Therefore, it is necessary to use new systems that have the ability to analyze the numerical parameters at the same time in locating the parking lots. One of these systems is the GIS system. (Kirimi, Ebadi, Ahmadi, 2017: 12) Choosing the location of multi-story parking lots is one of the key issues in big cities like Tehran. This problem should be investigated according to a series of criteria. To achieve this goal, parameters such as distance from travel attraction centers, distance from access roads and paths, land price, suitable use for parking and other parameters will be used. (Metkan, Shakiba, Abadi, 2008)

    As a result, it is necessary to plan for the optimal location of neighborhood parking lots owned by residents, in terms of quality and quantity. Appropriate landscaping of these neighborhood parking lots, easy access and directing a part of the municipality's income towards the construction of a neighborhood parking lot in this city are important studies in this regard (GIS) can be effective and efficient in the systematic study of diverse information and the volume of descriptive and spatial data analysis. The software (GIS) can simultaneously organize and analyze mass information, process, analyze and finally produce suitable outputs in the form of maps, tables or charts. This system is considered one of the most important tools in urban planning and can be useful for locating various uses in urban lands, such as: optimal location of neighborhood parking. In this research, we intend to study District 3-District 6 of Tehran city. In this area, which includes Vanak Square, Gandhi Street and their surrounding areas, it includes many organizations and offices and large parks that attract the population. Due to the lack of parking, vehicles park on the side of the streets and many vehicles remain without parking spaces, causing traffic and a bad view of the streets. Also, due to the presence of Vanak Square in the study area, which is one of the main and large squares of Tehran, a large number of people travel to this area every day.

    In this research, it is attempted that by involving important and effective criteria and factors in parking location and by using the hierarchical analysis method AHP and the graded weighted averaging method or OWA, suitable places for multi-storey public parking lots in the study area will be located and suggested with the help of May God take a step towards solving this problem in this area. 1-3 The importance and necessity of research The necessity of conducting this research is the large population of the area, its attraction to the population due to the presence of large and main parks in the city, the existence of numerous organizations and offices, and the high traffic of people to this area. According to diagram number 1-1, the studied area among other areas of Tehran, after area 6, has the greatest shortage in terms of the amount of parking needed. Therefore, it is necessary to choose optimal locations for the construction of multi-story parking in this region. Chart 1-1 The amount of available parking spaces and the demand for parking (shortage) in the 22 districts of Tehran Source: Transportation and Traffic Studies Center of Tehran, 1389 Fuzzy is OWA. In this method, we will use the weights obtained from the AHP model and apply them in the OWA fuzzy method to choose a suitable place with acceptable conditions for building a parking lot.

  • Contents & References of Location of multi-storey parking lot using AHP and OWA fuzzy model

    List:

    Table of Contents

    List of Tables

    List of Figures

    Table of Contents

    Chapter One: Research Overview

    1-1 Introduction

    1-2 Statement of the problem (the main research problem)

    1-3 Importance and necessity of research

    1-4 Research objectives

    1-4-1 Scientific objective of research

    1-4-2 Practical research objective

    1-5 Research questions

    1-6 Research assumptions

    1-7 Research method

    Chapter two: Literature and theoretical foundations of research

    2-1 Introduction

    2-3 Review of study records

    2-2-1 Location research background

    2-2-2 Background of parking location research using GIS and fuzzy model

    Chapter three: Research method

    3-1 Introduction

    3-2 Research method

    3-3 Concepts and definitions of methods

    3-3-1 Geographic information systems

    3-3-1-1 Definitions of geographic information systems

    3-3-1-2 Components of geographic information systems

    3-3-1-3 Difference between data and information

    3-3-1-4 Objectives of using geographic information systems

    3-3-1-5 Advantages of using geographic information systems

    3-3-1-6 History and evolution of information systems Geographical

    3-3-1-7 Geographic Information Systems in Iran

    3-3-1-8 Various Applications of Geographic Information Systems

    3-3-1-9 Geographic Information Systems in Urban Planning and Decision Making

    3-3-2 Definitions of Fuzzy Model

    3-3-2-1 Background of Fuzzy Model

    3-3-2-2 Fuzzy Model Applications

    3-3-2-3 Features of Fuzzy Model

    3-3-3 Definitions of OWA Fuzzy Model

    3-3-4 Definitions of AHP Fuzzy Model

    3-3-4-1 Principles of Hierarchy Analysis Process

    3-3-4-2 Basic Steps of Hierarchy Analysis Process Hierarchy

    3-4 Research Area

    3-4-1 Survey of the Geographical Location of the Research Area

    3-4-2 Features of the Region, Current Status

    3-4-3 Extent

    3-4-4 Extent

    3-4-5 Number of Districts and Localities

    3-4-6 Highways in the Region

    3-4-7 Characteristics and characteristics of the western half of the region

    3-4-8 Characteristics and characteristics of the eastern half of the region

    3-4-9 Demographic characteristics

    3-4-10 Economic characteristics

    3-4-11 Natural location

    3-4-12 Characteristics unique to the region

    3-4-13 Strengths and weaknesses and issues of the region

    3-4-13-1 Strengths

    3-4-13-2 Weaknesses

    3-4-14 Regional issues

    3-4-15 Introduction of the six regions of the region

    3-5 Variables under investigation

    3-5-1 Access criteria

    3-5-2 Criteria Neighborhood

    3-5-3 Environmental criteria

    3-6 Data collection tools

    3-7 Method of data collection and presentation

    3-8 Preparation of information layers

    3-8-1 Preparation of access layers

    3-8-2 Preparation of neighborhood layers

    3-8-3 Preparation of environmental layers

    3-8-4 preparation of restriction layers

    3-9 processing

    Chapter four: data analysis

    4-1 introduction

    4-2 effective criteria in parking location

    4-3 preparation of information layers

    4-4 analysis

    4-4-1 AHP ??method

    4-4-1-1 Weighting through AHP

    4-4-1-1-1 Weighting of main criteria by AHP method

    4-4-1-1-2 Weighting of main criteria and sub-criteria of Barosh AHP

    4-4-1-1-3 Weights obtained from AHP model

    4-4-2 OWA method

    4-4-3 weighting using the integrated Fuzzy AHP-OWA model

    4-4-3-1 conceptual model of the Fuzzy AHP-OWA method

    4-5 research hypothesis testing

    Chapter 5: discussion, interpretation and conclusion

    5-1 conclusion

    5-2 suggestions

    list of flowcharts

    Chart 1-1. Amount of available parking spaces and parking demand (shortage) in 22 districts of Tehran

    Flowchart 1-2. A summary of the research

    Flowchart 1-3. Research method

    Flowchart 3-2. The structure of a hierarchical model

    Flowchart 1-4. Hierarchy of effective criteria and sub-criteria in parking location

    Flowchart 4-2. Conceptual model of FUZZY AHP-OW method

    List of figures

    Figure 3-1. Decision strategy space in OWA method

    Figure 3-2. Geographical location of the study area

    Figure 3-3. The scope and basis of the information of the research maps in the ARC GIS software

    Figure 3-4. Areas with worn-out fabric in District 3 of Tehran

    Figure 5-3. Map. Slope map of district 6 of district 3 of Tehran

    Figure 6-3.  Limitation map of educational-research centers of district 6, district 3 of Tehran city

    Figure 3-7. The map of the limits of green spaces in District 6, District 3 of Tehran. Figure 8-3. Limitation map of medical centers and hospitals in district 6 of district 3 of Tehran

    Figure 9-3. Limitation map of commercial centers in district 6 of district 3 of Tehran

    Figure 10-3. Map of the limits of recreational-sports centers in district 6 of district 3 of Tehran

    Figure 11-3. Map of existing parking restrictions in District 6, District 3 of Tehran

    Figure 4-1. The final result of the method of pairwise comparisons in the hydrangea software

    Figure 4-1. The final result of the method of pairwise comparisons in the hydrangea software

    Figure 4-2.

    Figure 4-3. AND command in Hydrasi software

    Figure 4-4. OR command in Hydrasi software

    Figure 4-5. MID command in Hydrasi software

    Figure 4-6. Applying control points in the hydrangea software

    Figure 4-7. The final map of AND method in Hydrasi software

    Figure 4-8. The final map of OR method in Hydrasi software

    Figure 9-4. The final map of the MID method in Hydrasi software

    Figure 4-10. The final map of the AND method in Hydrasi software

    Figure 4-11. The final map of OR method in Hydrasi software

    Figure 4-12. The final map of the MID method in Hydrasi software

    Figure 4-13. Location of existing parking lots in the study area

    Figure 14-4. Location of parking lots in the final map

    List of tables

    Table 3-1. linguistic term in FUZZY AHP-OWA method

    Table 3-2. Area and percentage of major land uses

    Table 3-3. Physical condition of district 6, district 3 of Tehran

    Table 1-4. Effective criteria and sub-criteria in parking location

    Table 4-2. Suitable distance for walking from the parking lot to different population centers

    Table 4-3. The maximum acceptable walking distance between the parking lot and population centers

    Table 4-4. Criteria preferences in AHP weighting method

    Table 4-5. Pairwise comparisons of main criteria

    Table 4-6. AHP weighting method coefficients matrix

    Table 4-7. The weighting of the main criteria and sub-criteria of the research and the weights obtained from the AHP model

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Location of multi-storey parking lot using AHP and OWA fuzzy model