DISTRICT ROAD DATABASE MANAGEMENT BASED ON GEOGRAPHIC INFORMATION SYSTEM TO SUPPORT REGENCY ROAD MAINTENANCE (CASE STUDY: SINTANG DISTRICT)

Yengkie Kurniawan, Slamet Widodo
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Abstract

Road maintenance on the section of the road classified as a district road in the Sintang sub-district is the responsibility of the Sintang District Government. The financial constraints of the Sintang District Government, allocated annually in the Regional Revenue and Expenditure Budget (APBD) of Sintang District, pose a challenge in realizing the plan for district road maintenance, whereas funding for road maintenance needs to be budgeted regularly to maintain the road conditions in good shape, therefore, in this case, stakeholders or decision-makers are expected to be able to consider and decide which road sections should receive recommendations for "urgent," "immediate," and "postponed" maintenance. The chosen road maintenance points must not solely prioritize the lowest construction costs, accessibility, or strategic area value. Indeed, in this case, an analysis is required to integrate various criteria, thus serving as the basis for a decision as the best choice. The research method is presented descriptively, explaining the determination of the scale for recommending maintenance of district roads. The data collection technique is carried out using primary data in the form of documentation photos of each road section and road condition data assessed using the Road Condition Index (RCI) method or road roughness index, as well as secondary data consisting of road inventory data, road condition data, accident data, area size data, socioeconomic data, and maps. The fulfillment of the Minimum Service Standards (MSS) for roads is then calculated based on the collected data. This includes both the MSS for individual road sections and the MSS for the road network. The fulfillment of the road network's MSS is divided into three aspects: accessibility, mobility, and safety. Based on the analysis of the MSS, it is categorized into three recommendations: "urgent," "immediate," and "postponed." After obtaining the recommendations for each road section, they are presented as a map. After obtaining the research results, two road sections fall under the "urgent" recommendation for road maintenance. For immediate recommendations, there are 15 road sections. Meanwhile, 44 road sections are included in the delayed recommendations for road maintenance to be carried out.
基于地理信息系统的地区道路数据库管理,支持地区道路维护(案例研究:新塘地区)
新塘分区被列为地区道路的路段的道路维护工作由新塘区政府负责。新塘区政府每年在新塘区地区收支预算(APBD)中分配的资金有限,这对实现地区道路维护计划构成了挑战,而道路维护资金需要定期编入预算,以保持良好的路况,因此,在这种情况下,希望利益相关者或决策者能够考虑并决定哪些路段应获得 "紧急"、"立即 "和 "推迟 "维护的建议。所选择的道路维护点不能仅仅优先考虑建设成本最低、交通便利或战略区域价值。实际上,在这种情况下,需要综合各种标准进行分析,从而作为最佳选择的决策依据。研究方法是描述性的,解释了如何确定建议维护地区道路的尺度。数据收集技术采用了原始数据的形式,包括各路段的文档照片和使用道路状况指数(RCI)方法或道路粗糙度指数评估的道路状况数据,以及由道路清单数据、道路状况数据、事故数据、面积数据、社会经济数据和地图组成的二手数据。然后根据收集到的数据计算道路最低服务标准(MSS)的满足情况。这包括单个路段的最低服务标准和道路网络的最低服务标准。道路网最低服务标准的实现分为三个方面:可达性、流动性和安全性。根据对 MSS 的分析,将其分为三类建议:"紧急"、"立即 "和 "推迟"。在获得各路段的建议后,以地图的形式展示出来。在获得研究结果后,有两个路段属于 "紧急 "道路维修建议。有 15 个路段属于 "立即 "建议。同时,有 44 个路段被列入延迟进行道路维修的建议中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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