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سامانه پارکینگ یاب شهروندمحور مبتنی بر تحلیل تصمیم گیری چندمعیاره مکان آگاه | ||
| پژوهشهای جغرافیای انسانی | ||
| دوره 52، شماره 4، دی 1399، صفحه 1493-1509 اصل مقاله (1.7 M) | ||
| نوع مقاله: مقاله علمی پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jhgr.2020.292755.1008036 | ||
| نویسندگان | ||
| محمدرضا جلوخانی نیارکی* 1؛ علیرضا سرسنگی علی آباد2؛ نرجس محمودی وانعلیا3 | ||
| 1دانشیار گروه سنجش از دور و سیستم های اطلاعات جغرافیایی، دانشکدة جغرافیا، دانشگاه تهران | ||
| 2دانشجوی دکتری سیستم های اطلاعات جغرافیایی، دانشکدة جغرافیا، دانشگاه تهران | ||
| 3کارشناس ارشد سنجش از دور و سیستم های اطلاعات جغرافیایی، دانشکدة جغرافیا، دانشگاه تهران | ||
| چکیده | ||
| مشکل پارکینگ یکی از موضوعات مهم در زندگی شهری است؛ زیرا بسیاری از شهروندان مقدار زیادی از انرژی و زمان خود را برای یافتن پارکینگ مناسب از دست میدهند. علاوه بر این، افزایش مصرف سوخت، حجم ترافیک، و رانندگیهای غیرضروری مشکلات اجتماعی، اقتصادی، و زیستمحیطی فراوانی برای شهروندان بهوجود میآورد. در همین راستا، در این مقاله یک سامانة شهروندمحور مبتنی بر تحلیل تصمیمگیری چندمعیارة مکانآگاه و GISبرای جستوجو و مسیریابی پارکینگها ارائه شده است. این برنامة کاربردی از سه بخش اصلی تشکیل شده که شامل دو بخش مدیریت پارکینگ محلی و مدیریت جامع پارکینگها در بستر وب و یک بخش پارکینگیاب مبتنی بر تلفن همراه است. بخشهای کاربردی مدیریت پارکینگ محلی و مدیریت جامع پارکینگها اطلاعات مربوط به هر پارکینگ را جمعآوریو به بخش کاربردی پارکینگیاب منتقل میکنند. شهروندان میتوانند با تعیین اولویت معیارهای موجود در بخش پارکینگیاب مناسبترین پارکینگ و مسیر دستیابی به آن را دریافت کنند. از این برنامه بهمنظور بهبود مسیریابی جای پارکدر شهر یزد استفاده شد. در ادامه، بهمنظور ارزیابی برنامه، از 55 نفر از شهروندانی که از آن استفاده کردهاند نظرسنجی شد. نتایج نشان میدهد 4/36 درصد از افراد شرکتکننده بیشتر از 10 بار در ماه و بیشتر در ساعات بعد از ظهر (6/63 درصد) و روزهای تعطیل (20 درصد) از این برنامه استفاده کردهاند. همچنین، این برنامه سبب کاهش زمان جستوجو (5/54 درصد به میزان کمتر از 10 دقیقه و 4/16 درصد بیش از 15 دقیقه) و افزایش کارایی استفاده از سیستمهای پارکینگ شده است. | ||
| کلیدواژه‌ها | ||
| پارکینگ یاب؛ تحلیل تصمیم گیری چندمعیارة مکان آگاه؛ سامانة شهروندمحور؛ مسیریابی؛ یزد؛ GIS | ||
| عنوان مقاله [English] | ||
| A citizen-centered parking search tool based on location-aware multi-criteria decision analysis | ||
| نویسندگان [English] | ||
| Mohammadreza Jelokhani-Niaraki1؛ Alireza Sarsangi-Aliabad2؛ Narjes Mahmoody Vanolya3 | ||
| 1Department of GIS and RS, Faculty of geography, University of Tehran | ||
| 2Phd student in Tehran university | ||
| 3MSc student of Remote sensing and GIS | ||
| چکیده [English] | ||
| Abstract Finding the right public parking lot for car parking is one of the major problems for citizens. Drivers spend a lot of time and distance finding the right public parking lot, which increases traffic, air pollution, fuel consumption, driver fatigue and confusion. In this regard, this article attempts to improve the process of parking searches and routing for citizens by providing a mobile GIS-based application. The location-aware program consists of three main modules, including two local parking management modules and comprehensive web-based parking management and a mobile-based parking locator module. The local parking management and comprehensive parking management modules collect information about each parking lot and transfer it to the Parking Finder module. Citizens can get the most appropriate parking and access path by prioritizing any of the criteria found in the Parking Finder module. The program was used to improve the routing of the park in Yazd. Then, a survey of 55 citizens using the system to find parking was conducted to evaluate the proposed plan. Survey results show that 36.4% of participants used the program more than 10 times a month and more in the afternoon (63.6%) and on weekends (20%). It has also reduced the time spent searching (54.5% less than 10 minutes and 16.4% more than 15 minutes) and increased the efficiency of using parking systems in Yazd. Keywords: parking, mobile GIS, location-aware, routing, Yazd Introduction Finding the right public parking lot for car parking is one of the major problems for citizens. Drivers spend a great deal of time and distance finding the right public parking lot, which increases traffic, air pollution, fuel consumption, driver fatigue and confusion. On the other hand, the growing population of cities, especially in tourist areas, has led to the issue of finding a suitable parking spot and finding a lot of attention due to the lack of adequate parking lots and lack of adequate parking information. At the city level, this is facing many problems. Many cities are currently developing location-aware parking systems using ICT. These systems combine telecommunications, geographic information systems (GIS) and global positioning systems (GPS) to make parking information accessible to drivers when needed and the most effective way to navigate the empty spaces of parking lots. Designed as web applications, these systems are available from mobile devices or personal computers (laptops) .The main task of these applications is to select the most suitable parking lot based on the evaluation of available parking lots. To this end, these systems combine a set of criteria that affect the selection of a parking lot with the weight of each parking lot, using Multi-criteria Location Decision Analysis (GIS-MCDA). Introduce the largest parking lot. Methodology The proposed citizen-centered parking system consists of three main functional areas: local parking management, comprehensive parking management, and a functional parking lot. The information recorded in the local parking database is transmitted online to the comprehensive parking management system database and is provided through the embedded web services to the parking finder application to provide location and descriptive services. Results and discussion In this article, systems are designed and implemented as a mobile based application to service drivers to determine the most appropriate parking and access path. The program is made up of three main application areas, identifying the current location of each user and utilizing mobile device positioning technology, combining user-specific preferences to fit each of the criteria in the application. Provides the most secure parking. After applying weight and determining the importance of each of the existing criteria by the drivers, the proposed program introduces the most suitable parking lot among the available parking lots using WLC Multi-criteria Decision Analysis. The route to the desired parking lot is displayed on the map as text, audio and graph. Showing the shortest route to the parking lot can be very useful for drivers in busy traffic and busy hours, preventing additional routes and increasing traffic. In order to evaluate the proposed program, 55 users of the questionnaire program were prepared in the form of 5 questions. The first question relates to how often the program is used during a month. 20 participants (36.4%), more than 10 times a month and more in the afternoon (35 people, 63.6%) and weekends (11%, 20%) of this program to find out They have used parking. This indicates that people in Yazd are facing severe parking problems at certain times of the day due to the increased traffic and intra-city traffic, and this program can be very useful and effective in finding suitable parking. Conclusion This article proposes a citizen-centered parking tracking system to improve parking search and routing in Yazd city. The innovative program combines instant parking information with drivers' personal preferences using mobile features to provide the most appropriate parking and accessibility. The program consists of three main application sections, two of which are web-based and one mobile-application. The web applications section is used by parking officials and the general manager of parking lots, and information about each parking lot is stored and recorded at any time. The mobile application segment is used by drivers and receives instant parking information online. In addition, this section shows the most suitable parking and the route of access to each driver, by prioritizing the criteria in the program through each driver. Implementation of this proposed city-wide program has shown that time spent searching for parking spaces has been significantly reduced, saving drivers time and money. Using this program also allows drivers to find the best parking in terms of distance, cost and number of vacancies by registering minimal information on their mobile phones. Providing parking location and access can also help drivers in busy city hours. However, in this research, no analysis has been conducted on the level of simplicity and usability of this system by citizens. | ||
| کلیدواژه‌ها [English] | ||
| citizen-centric system, multi-criteria decision analysis, location-aware GIS, parking locator, routing | ||
| مراجع | ||
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