رتبه بندی شیوه های زمان بندی طرح های قیمت گذاری تراکم ترافیک در کلانشهرهای توریستی (مطالعه موردی: شهر مشهد)

کدخدایی, مسعود; شاد, روزبه

doi:10.34785/J011.2019.513

نوع مقاله : مقاله پژوهشی

نویسندگان

¹ دانشجوی دکتری مهندسی عمران، دانشکده مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران

² استادیار گروه عمران، دانشکده مهندسی، دانشگاه فردوسی مشهد، مشهد، ایران.

10.34785/J011.2019.513

چکیده

در اجرای سیاست قیمتگذاری تراکم ترافیک در کلانشهرها، نحوه تغییرات نرخ عوارض نسبت به زمان اهمیت زیادی دارد و در میزان کارایی طرح قیمتگذاری تراکم ترافیک و بازدارندگی آن در میزان استفاده از خودروهای شخصی مؤثر است. بنابراین انتخاب مناسبترین شیوه برای زمانبندی طرحهای قیمتگذاری تراکم ترافیک نیازمند تحلیل و بررسی دقیق شیوههای مختلف زمانبندی و ارزیابی آنها با توجه به ویژگیهای ترافیکی و اجتماعی شهر مورد نظر است. در کلانشهرهای توریستی به دلیل حضور گردشگران، حجم سفرهای با اهداف تفریحی و خرید در این کلانشهرها بیشتر از سایر شهرهاست. از طرفی بخش زیادی از رانندگان نیز با مسیر آشنایی نداشته و موجب متفاوت شدن الگوی سفرهای درونشهری در این کلانشهرها با سایر شهرها میشوند. به همین دلیل، انتخاب شیوه مناسب زمانبندی طرحهای قیمتگذاری تراکم ترافیک در کلانشهرهای توریستی اهمیت بیشتری مییابد. در این تحقیق، سه شیوه زمانبندی عوارض ثابت، عوارض زمانبندی شده و عوارض هوشمند برای زمانبندی طرحهای قیمتگذاری تراکم ترافیک در کلانشهرهای توریستی انتخاب شده و با استفاده از روش تحلیل شبکهای (ANP) و براساس مقایسات زوجی و نظرات کارشناسان رتبهبندی شدند. براساس نتایج، شیوه عوارض زمانبندی شده برای طرحهای قیمتگذاری تراکم ترافیک با وزن نرمال 49/0 در رتبه نخست و شیوههای عوارض ثابت و عوارض هوشمند به ترتیب با وزنهای نرمال 26/0 و 25/0 در رتبههای دوم و سوم قرار گرفتند. مؤثرترین شاخصهای این ارزیابی به ترتیب شاخصهای کاهش زمان سفر، افزایش استفاده از حملونقل عمومی، کاهش تردد خودروهای تکسرنشین، افزایش سرعت عملکردی و کاهش تصادفات با عابرپیاده، موتور و دوچرخه سواران شناخته شدند. استفاده از نتایج این تحقیق در سیاستگذاریهای مدیریت شهری موجب بهینهسازی سیاست قیمتگذاری تراکم ترافیک در کلانشهرهای توریستی مانند شهر مشهد شده و اثرگذاری این سیاست در کاهش تراکم ترافیک و مشکلات ناشی از آن را افزایش میدهد.

کلیدواژه‌ها

موضوعات

حمل و نقل شهری

عنوان مقاله [English]

Ranking of traffic congestion pricing schemes in tourist metropolises: Case study of Mashhad

نویسندگان [English]

masoud kadkhodaei ¹
rouzbeh shad ²

¹ Ph.D Student od Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad,Mashhad, Iran

² Assistant Professor, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

چکیده [English]

With the ever-increasing production of private cars, there has been far heavier traffic flowing through the streets of large cities, causing problems such as increased air pollution and increased travel time and latency in urban trips. Congestion pricing provides a way of managing traffic congestion and the consequent problems in large cities. In the implementation of the congestion pricing policy in large cities, it is of great significance how toll rate varies by time, affecting the efficiency of the plan and citizens’ tendency to use private cars. Therefore, adoption of the most appropriate method of scheduling in congestion pricing plans requires a precise analysis of different scheduling methods and their evaluation given the traffic and social characteristics of the city. Due to the presence of tourists in large tourist destinations, there are larger numbers of trips taken for entertainment and shopping purposes than in other cities. Furthermore, many drivers are not familiar with the directions, which makes urban travel patterns different in such cities, making it more important to adopt the appropriate congestion pricing plan scheduling. In this research, three methods, including fixed tolls, scheduled tolls, and smart tolls, were adopted for scheduling congestion pricing plans in large tourist destinations and ranked using the Analytic Network Process (ANP) method, where decision elements, including evaluation criteria and options, are weighted using pairwise comparison as well as their interdependence In the pairwise comparisons, the importance of or preference for each decision element is determined by experts opinions. Each option is scored with respect to each criterion through multiplication of the option weight by the criterion value, and the final score of the option is obtained through calculation of the sum of the above scores, on which basis the evaluation options are ranked. Since the final weights thus obtained by the ANP method are not normal, more accurate comparison could be made after their normalization. Based on the results, the method of scheduled tolls for congestion pricing plans were ranked first with a normalized weight of 0.49, and the methods of fixed tolls and smart tolls were ranked second and third with normalized weights of 0.26 and 0.25, respectively. The most effective indicators in the assessment included reduction of travel time, increase in the use of public transportation, reduction of the number of drivers traveling alone, increase in operating speed, and reduction of accidents with pedestrians, motorcyclists, and cyclists, in that order. Use of the results of this research in urban management policy-making will optimize congestion pricing policies adopted in large tourist destinations such as the city of Mashhad, Iran and increase their effectiveness in reduction of traffic congestion and the consequent problems.

کلیدواژه‌ها [English]

Traffic congestion control
Congestion pricing
Tourism
Analytic Network Process

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فصلنامه مطالعات شهری

رتبه بندی شیوه های زمان بندی طرح های قیمت گذاری تراکم ترافیک در کلانشهرهای توریستی (مطالعه موردی: شهر مشهد)

مراجع

مراجع

دوره 9، شماره 33 - شماره پیاپی 33
بهمن 1398
صفحه 27-38

رتبه بندی شیوه های زمان بندی طرح های قیمت گذاری تراکم ترافیک در کلانشهرهای توریستی (مطالعه موردی: شهر مشهد)

مراجع

مراجع

دوره 9، شماره 33 - شماره پیاپی 33بهمن 1398صفحه 27-38

دوره 9، شماره 33 - شماره پیاپی 33
بهمن 1398
صفحه 27-38