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   شناخت نقاط حادثه‌خیز محورهای استان البرز با استفاده از ‌روش تخمین تراکم کرنل  
   
نویسنده صیدایی اسکندر ,جهانگیر ابراهیم ,دارابخانی رسول ,پناهی علی
منبع پژوهش هاي جغرافياي انساني - 1399 - دوره : 52 - شماره : 3 - صفحه:939 -951
چکیده    بررسی و مطالعه نقاط حادثه‏خیز در ایران، به‏سبب فقدان برنامه‏ریزی مدون در شناسایی و اولویت‏بندی این نقاط و فقدان بانک اطلاعاتی مناسبی که شناس‏نامه نقاط حادثه‏خیز کشور در آن ثبت شده باشد و پس از تامین اعتبار و اجرای اقدامات اصلاحی داده‏های آن بهنگام شود، در سطحی پایین و ناکافی قرار دارد؛ در حالی ‏که برای شناسایی و اولویت‏بندی آن‏ها نه از  روش‏های علمی معتبر استفاده می‏شود نه پس از صرف هزینه و ایمن‏کردن آن‏ها میزان اثربخشی و کاهش سوانح در این نقاط ارزیابی می‏شود. استان البرز با داشتن حدود 407 کیلومتر راه بین شهری از لحاظ طول راه‏ها دارای کمترین در سطح کشور است و در عین حال به‏سبب موقعیت استان در شاهراه مواصلاتی غرب، شمال غرب، و شمال کشور مقام اول در ترافیک بین‏شهری کشور را دارد. بیشترین تعداد متوفیان ناشی از تصادف برون‏شهری با 58 نفر کشته در هر 100 کیلومتر مربوط به استان البرز است که‏ به‏رغم دارابودن بیشترین شاخص‏های سیستم حمل‏و‏نقل هوشمند و تعداد نسبی راهدارخانه‏ها در سطح کشور مقام اول کشته‏ها در جاده‏های کشور را به خود اختصاص داده است. در این تحقیق از روش تخمین کرنل از مجموع آنالیزهای فضایی نرم‏افزار arc gisاستفاده شده است که از روش‏های قابل بهره‏برداری در شناخت مناطق پُرتراکم به‏شمار می‏رود. نتایج به‏دست‏آمده نشان می‏دهد محدوده بسیار حادثه‏خیز استان البرز با طول 2.3کیلومتر در محور چالوس و اتوبان قزوین قرار گرفته است. از مجموع راه‏های استان 11.85 کیلومتر از راه‏ها در شرایط حادثه‏خیز است.
کلیدواژه استان البرز، حوادث ‏ترافیکی، روش تخمین تراکم کرنل، محورهای برون‏ شهری، نقاط‏ حادثه‏ خیز
آدرس دانشگاه اصفهان, ایران, , ایران, دانشگاه تهران, ایران, دانشگاه آزاد اسلامی, گروه جغرافیا و برنامه ‏ریزی شهری, ایران
 
   recognizing the eventful points of the axes of alborz province using the kernel density method  
   
Authors seydai seyed eskandar ,jahangir ebrahim ,darabkhani rasool ,panahi ali
Abstract    extended abstractintroductionroad accidents around the world annually take many human lives or even amputation. therefore, in order to reduce the indirect economic and social effects of such incidents, urgent action is required in various social, technical and engineering fields. general education, automobile standardization, and technical and geometric correction of roads are among the main measures. in the meantime, the identification of the causes of an accident is more preferable, because the method and the volume of the actions can vary due to a variety of causes. therefore, in order to reduce the number and severity of road accidents, identifying accident points is one of the first steps. the most probable accident points are points where the number of accidents, including death, injury and damage were high, which should be reduced by taking immunization measures (road maintenance & transportation organization, 2007:1)investigation of accidental points in iran due to the lack of a systematic planning in identifying and prioritizing these points and lack of proper database which includes history of accidents from all over the country is in poor and inadequate status. therefore, no valid scientific method is used to identify and prioritize them, and the effectiveness and reduction of disasters in these areas are not evaluated even after allocating money and securing them. this research is an attempt to identify and prioritize the accidental points along the roads of alborz province, to increase the effectiveness of executive measures and reduce the vulnerability of citizens and passengers of the province.research methodologyalborz province has about 407 km of interurban road with the least length of the road in the country, while at the same time, due to the location of the province in the west, northwest and north of the country, it has the first place in the interurban traffic of the country. according to the data released by the iran road maintenance and transportation organization between the 16.03.2015 and 04.04.2015, more than 27 million traffic has been registered at the provincial level.the highest number of deceased was due to outoftown accident with 58 people killed per 100 km in the province of alborz. despite having intelligent transportation system and the relatively high number of transportation facilities in the country, this road allocates the first place of road accidents to itself. the study of the above indicators shows that in recent years, along with increasing traffic volume in alborz province, the number of accidents and consequently injured and killed road accidents has also been increased.therefore, in order to minimize these accidents, it is necessary to identify the highrisk areas and geographical features of the location of these accidents and identify the quantitative and qualitative aspects of the roads of alborz province. in this regard, the study of accident rate as well as the analysis of spatial patterns of accident distribution in alborz is another necessity of this study. in this research, a reactionbased approach based on accidents recorded in the disaster information management system of red crescent during the second half of 1391 (2013) and the first half of 1394 (2015), in addition to an estimation method for dispersion of accident points by gis spatial analysis have been used to identify and categorize in the under study period. to determine the road accidental points in alborz province, the kernel density estimation model was used. the kernel density estimation model, includes spatial analyzes in the arc gis software, to estimate the density for linear and point effects. this analysis is one of the best ways to identify hot spots, which can be used to identify accident points.discussions and findingsthe indicators of the number and severity of the accidents, were determined by the use of presented models. in this research, a total of 617 accidents recorded in the studied time period using spatial information system. of the total number of reported incidents, there have been 2724 accidents, 48 of which have caused death. the distribution pattern of recorded events indicates the spatial distribution of accidents in the three main roads of the province, including the karajchalous road (294 accidents), karajqazvin highways (282 accidents) and mahdashteshtehard (25 accidents). using the kernel density estimation method in the arc gis environment, the density of accident points in the province has been studied and the results indicated that in the karajchalous road and the karajqazvin highways, the areas are the most accidental ones and the probability of accident is clearly high. the length of the route is 2.5 km in the high accident area of the province and 11.85 km belongs to the accident prone area.resultsbased on the obtained results from the kernel method, areas were divided into four categories of low accidentprone, relatively accidentprone, accidentprone and high accidentprone then were categorized separately into two main roads of the province based on same four categories:karaj – chalous road1. highly incidental area: this area is in line with amir kabir dam and tunnel number four of this road, which was identified with a length of 1.3 km, as one of the high accidentprone roads.2. incident area: includes three distinct districts with a total length of 3.3 km, which is identifiable at the beginning of the dam of amir kabir, the length of the dam lake and, finally, a threeway road at 50 km on the chalous road.karajqazvin highway:1. highly incidental area: high accidentprone area of this road is located at the exit of fakhr iran township in 33 km of the highway, which is approximately one kilometer.2. incident area: 8.5 km from the karaj highway to qazvin, based on the obtained results, consists of six separate zones that can be categorized as the accidental areas of the province. these areas are bridge of nazarabad, the area beyond hashtgerd up to the bridge of nazarabad, hashtgerd exit, mamot industrial area and kordan bridge.keywordstraffic accidents ، accident full range ، alborz province ، suburban roads ، kernel density estimation method
 
 

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