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مدل عامل-مبنای سوخت‌گیری وسایل نقلیه‌ی شخصی با رویکرد مدیریت تقاضا و مقایسه‌ی نتایج آن با رجحان بیان شده‌ی کاربران: مطالعه‌ی موردی کلانشهر تهران | ||
| نشریه مهندسی عمران امیرکبیر | ||
| مقاله 10، دوره 54، شماره 9، آذر 1401، صفحه 3411-3432 اصل مقاله (1.16 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22060/ceej.2022.18192.7141 | ||
| نویسندگان | ||
| محمد رمضانی1؛ حمید میرزاحسین* 2؛ امیرعباس رصافی2 | ||
| 1دانشکده مهندسی عمران، دانشگاه بین‌المللی امام خمینی(ره)، قزوین، ایران | ||
| 2دانشکده مهندسی عمران، دانشگاه بین‌المللی امام خمینی(ره،) قزوین، ایران | ||
| چکیده | ||
| تقاضای روزافزون استفاده از خودروی شخصی در ترکیب با رشد نامتوازن و متراکم کاربری‌ها در شمال کلانشهر تهران سبب گشته تا جایگاه‌های عرضه‌ی سوخت (پمپ بنزین ها) همواره با صف تقاضا روبرو باشند. از طرفی قیمت گزاف زمین در این مناطق احداث جایگاه جدید را مقرون به صرفه نمی سازد. از این جهت، سیاست‌هایی از مدیریت تقاضا که افزایش هزینه استفاده از تسهیلات را در پی دارد به عنوان راهکاری جهت حل این قبیل از مشکلات است که تأثیرات آن در مقاله‌ی حاضر به روش عامل-مبنا بررسی شده است. در این مقاله، داده کاربران پمپ بنزین‌های شمال شهر تهران با روش رجحان بیان شده جمع‌آوری و با استفاده از نرم‌افزار تحلیل آماری SPSS تحلیل گردید و از نتایج آن جهت تعریف خصوصیات عامل‌ها و قوانین تعاملی در نرم‌افزار شبیه‌سازی NetLogo استفاده شد. در ادامه وجود یک خط عبور سریع (با پنج سناریوی مختلف قیمتگذاری) در کنار یک خط معمولی شبیه‌سازی شد. نتایج نشان داد که اگر چه با اتکا به روش آماری مبتنی بر رجحان بیان شده تعدیل طول صف شلوغ متناسب با افزایش قیمت (سناریوهای ۴ و ۵) با استقبال بیشتری همراه است اما مدل عامل-مبنا نشان می دهد که محبوبیت سناریوهای ارزان قیمت (سناریوهای ۱ و ۲) یعنی تعدیل طول صف شلوغ متناسب با کاهش تدریجی قیمت بر اساس رفتار تعاملی افراد بیشتر مورد توجه کاربران است. این موضوع نشان دهنده آن است که پاسخ‌های روش رجحان بیان شده در مواردی که رفتارهای تعاملی متوجه کاربران است نمی‌تواند مورد اطمینان باشد. همچنین با توجه به عدم توازن عرضه و تقاضای ناشی از بافت منطقه از قبیل در دسترس بودن زمین بدون کاربری مشخص و ملاحظه قیمت اراضی، ایجاد یک خط عبور-سریع قیمتگذاری شده راهکاری موثر در تعدیل طول صف و کاهش زمان انتظار است. | ||
| کلیدواژه‌ها | ||
| مدیریت تقاضا؛ رجحان بیان شده؛ مدل‌سازی عامل-مبنا؛ صف سوخت‌گیری | ||
| موضوعات | ||
| حمل و نقل شهری؛ شبیه سازی حمل و نقل؛ مدیریت عرضه و تقاضا؛ مدل سازی حمل و نقل | ||
| عنوان مقاله [English] | ||
| Agent-Base Modeling of Refueling Vehicles based on Demand Management Approach and Comparing its Result with the Stated Preferences Method in Tehran | ||
| نویسندگان [English] | ||
| Mohammad Ramezani1؛ Hamid Mirzahossein2؛ Amir Abbas Rassafi2 | ||
| 1Department of Civil Engineering, Transportation Planning, Imam Khomeini International University, Qazvin, Iran | ||
| 2Department of Civil Engineering, Transportation Planning, Imam Khomeini International University, Qazvin, Iran | ||
| چکیده [English] | ||
| The increasing demand for private cars and the unbalanced and dense growth of land-uses in the north of Tehran metropolis have caused fuel supply stations (gas stations) to face the demand queue most of the time. On the other hand, the exorbitant price of land in these areas does not make the construction of a new location cost-effective. Demand management policies such as increasing the cost of using the facility are the possible solution to solve such problems. In this paper, the gas station users' data in the north of Tehran were collected using the stated preference method and analyzed using SPSS statistical analysis software to define the agent features and build agent-based modeling. The survey results were used to define the characteristics of factors and interactive rules in the NetLogo simulation software. Then, the existence of a fast-passing line (with five different pricing scenarios) was simulated compared to the normal condition. The results showed that although the price increase scenarios (scenarios 4 and 5) are more welcome by relying on the statistically-based stated preference method, the agent-based simulation shows the popularity of cheap scenarios (scenarios 1 and 2) based on the interactive behavior of people are more valid. This indicates that the stated preference method's responses cannot be reassured in cases where interactive behaviors exist. Also, due to the imbalance of supply and demand due to the region's context, creating a tolled high-speed passing line is an effective solution to adjust the queue length and reduce waiting time. | ||
| کلیدواژه‌ها [English] | ||
| Demand Management, Agent-Base Modeling, Refueling Queue, Stated Preference | ||
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| مراجع | ||
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