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Register a new userSupporting Bituminous Road Surface Maintenance Decision Making by Using Project Priority Methodology Integrating With Geographic Information Systems (GIS)
دعم اتخاذ القرار المتعلق بصيانة سطح الرصف من المجبول البيتوميني بالاعتماد على منهجية التفضيل بين المشاريع حسب أولويتها بالتكامل مع نظم المعلومات الجغرافية
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Added by
Tishreen University ورقة بحثية
Publication date
2016
fields
Management and Construction
and research's language is
العربية
Created by
Shamra Editor
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تنبع أهمية هذا البحث من خلال انشاء نظام متكامل لدعم اتخاذ القرار المتعلق بصيانة سطوح رصف الطرق البيومينية في اللاذقية ضمن بيئة نظم المعلومات الجغرافية, بما يؤدي لرفع سوية الأداء للوصول إلى شروط أفضل من الراحة و الأمان لمستخدمي الطرق. لقد تم في بحث سابق رفع واقع الطرق المدروسة و ملء استمارات مسح حالة سطح الرصف من المجبول البيتوميني وفق طريقة معهد الاسفلت Asphalt Institute Method, و التي تم من خلالها الحصول على قيمة تصنيف حالة سطح الرصف للقطاعات الطرقية المدروسة و نوع الصيانة اللازمة لكل قطاع و ربطها بالخرائط الرقمية التي تم انجازها بحيث ظهر كل قطاع بلون يعكس حالته الفنية حسب الغاية من الخريطة. و استكمالا للبحث السابق تم في بحثنا هذا الاعتماد على منهجية التفضيل بين المشاريع حسب أولويتها Project Priority Methodology, لاستعراض مختلف البدائل و الحلول اللازمة لدعم اتخاذ القرار حول أي القطاعات التي تم تقييم حالة سطح الرصف البيتوميني الخاصة لها مسبقاً تلزم صيانتها أولاً. لقد تم استخدام خمس فئات للتفضيل بين القطاعات الطرقية ينتج عن كل منها قيمة مثقلة ثم تم وضع قيمة مثقلة كلية للفئات مجتمعة, و ربط ذلك بمجموعة من الخرائط الرقمية التي تم إنجازها لهذا الغرض و التي ضمنت الوصول السريع و المباشر لمختلف الحلول و البدائل و اختيار الأنسب منها, مؤكدين بنتيجة البحث على أن العملية التقليدية في إصلاح الطرق و التي تبدأ بالطرق الأسوأ ليست بالضرورة هي الأنسب و أنه لابد من الانتقال إلى تبني نظم إدارة صيانة الرصف الحديثة.
The importance of this research lies in establishing an integrated system to support decision making of bituminous road surface maintenance in Lattakia within the environment of Geographic Information Systems, which leads to improve the level of performance and reach better conditions of road safety and comfort. In a former research, the bituminous surface condition data was conducted and filled in the Asphalt Institute Form by which we obtained an overall condition rating that led in turn to the type of maintenance of each studied segment and link them to the digitized maps where every segment appeared in a color reflecting its condition according to the purpose of the map. In this research we depended on the " Project Priority Methodology " to view and query different alternatives to support decision making of which road segments should be maintained first by using five categories each one gives us a weighing value, then we collected the total weighed value for the five categories together, and link that to digitized maps that guaranteed fast and direct reach to various solutions to choose the best, insuring as a result that the traditional way in maintenance which begins with the worst segment is not always the best, and that its time to move towards new pavement maintenance management systems.
References used
Ann Johnson , P. E. , Professional Engineering Services ," Best Practice Handbook on Asphalt Pavement Maintenance", February 2000
Northwest Pavement Management Systems Users Group and R. Keith Kay , Washington State Department of Transportation ," Pavement Surface Condition Rating Manual ", March 1992
Illinois Highway Information System – Roadway Information and Procedure Manual , Condition Rating Survey Item No.42
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This research highlights the vital role of Pavement Management Systems integrated with Geographic Information Systems in planning and managing road maintenance in Lattakia, and getting a flexible local system by following a new method in processing a
nd viewing information that supports maintenance decision.
This study included applying a pilot project for managing pavement maintenance over a group of roads following The General Establishment for Road Communications. Those roads were divided to links and segments then evaluated using the " Asphalt Institute Method ", which gave us a numeric pointer that led in turn to the type of maintenance needed for a particular pavement. In this research, we depended on the Geographic Information Systems to design and build a comprehensive database, that reflected the present condition of the studied roads, and enabled us to store, analyze and document pavement surface condition and link it to the digitized maps of the studied roads. This guaranteed easy and direct access to various kinds of data and solutions as every segment appeared in a different color reflecting its conditions according to the theme of the map. By doing so, we could support the process of taking right maintenance decisions.
3D models of historical sites and monuments are very interesting in archaeology and digital tourism fields. These models help archeologists document historical sites and analyze the relationships between their components. Moreover, 3D models constitu
te an attractive factor that encourages visiting sites and presents virtual information about cultural heritage.
In this paper, we propose an approach that uses capabilities of CAD (Computer Aided Design) and GIS (Geographic Information System) systems to construct spatial and semantic database for historical sites and modeling them in 3D. Users of the mentioned database can use it to gather information about sites and to navigate across them via the animation capabilities in GIS.
The proposed ideas will be applied on the historical site of Ras-SHAMRA in Lattakia. Spatial data concerning the site will be acquired form a topographic plan designed in 2004. These data will then be processed and introduced into GIS environment. ArcGIS software will be used to achieve an Archeological Information System (AIS) for the site and to construct a 3D model of the site and the royal palace.
The Drastic method has been used to assess the potential sensitivity of the
Groundwater In Lattakia basin using Arc GIS 9.2 Where the modified Drastic system has
been developed by combining the land uses and its divisions with general Drastic model
.As a result, final values of Drastic have been modulated into two categories "low and
moderate sensitivity"
It has been found that the introduction of the human criteriahas increased the
potentialof the moderate sensitivity of the Groundwater.
As a final result, the general content of the sensitivity map which has been
establishedfor Lattakia basin, showed, the domination of low sensitivity category in the
north western and the north eastern areas which has big location depths of the Groundwater
and high topographic altitudes.In contrast, the moderate sensitivity category dominated in
the southern areas of the study region.
The latter areas which are characterized by the existence of varied human activities
havelocation ofGroundwater levels close to the surface.
The Marketing information systems are considered the backbone
of decision making, particularly these needed to run facilities with
higher efficiency and effectiveness of marketing process. The study
recommends that the served facilities ought to d
evelop the
organizational structure, in away leaving the routine more over
forwarding towards more flexible structures, and decentralization in
decision making. As well as getting rid of operation standards,
standing in the hand in order to rationalization of the decision made.
And getting the valuable, credibility and economic information at
suitable time allows to rationalization and directing activities the
existing process of marketing the rationalization and directing
activities to achieve at higher level, This enforce the facility to be
awareness to the importance of providing effective marketing
information system, This make it able to govern the process of
decision making, reduce the time and effort which is responsible for
search from information and analysis it, and enable it be able to
assess the prospects for the future, and the face of environmental
changes.
The main goal of this study is to produce landslide sensitivity mapusing GIS at
Syrian Coast area.At the first stage of the study, 75% of the landslides locations (45
landslide locations) are used as training dataset and the rest was used as (15 la
ndslide
locations) the validation dataset. Fourteen input data layers were employed as landslide
conditioning factors in the landslide sensitivity mapping. These factors are slope degree,
aspect, altitude, plan curvature, profile curvature, tangential curvature, surface area ratio
(SAR), lithology, land use, distance from faults, distance from rivers, distance from roads,
topographic wetness index (TWI) and stream power index (SPI).
Using these conditioning factors, landslide sensitivity index was calculated.
Subsequently, the result was plotted in ArcGIS and landslide sensitivity map was obtained.
The produced sensitivity map is useful for general land-use planning.
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