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Accessibility based automobile transport system analysis in Lithuanian regions and forecasting potential in residential areas

机译:立陶宛地区基于可访问性的汽车运输系统分析和居民区的预测潜力

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Fixing the accessibility is a standard issue of transport analysis, which can be of interest to many socioeconomic applications. In this paper we propose and discuss accessibility based Lithuanian automobile transport system analysis and a GIS (geographic information systems) calculation method for searching for potential territory according to different conditions. The main parameter is time based accessibility from the centres of Lithuanian administrative regions. Also other factors have been included such as the road network density in regions, density of local roads in regions, length of roads for 1000 inhabitants in administrative regions, length of local roads for 1000 rural inhabitants in administrative regions; GIS application computes the ratings for administrative regions. The first stage of GIS decision support system is based on two calculation methods: Topsis (Technique for Order Preference by Similarity to Ideal Solution), and SAW (Simple Additive Weighting). The second stage of the GIS application is for forecasting of potential residential areas. The major input GIS data for this application is the road and street network. Minor data include layers of buildings, engineering utilities and landscape, hydrology, culture heritage objects. Also, the application user can enter different technical parameters: driving time from the centre, possible distance from major roads, distance from concrete utility, etc. All users parameters entered would be used to generating output a GIS data potential area; which satisfies all conditions entered and protective zones of different objects.
机译:修复可访问性是运输分析的一个标准问题,许多社会经济应用都可能对此感兴趣。在本文中,我们提出并讨论了基于可访问性的立陶宛汽车运输系统分析和一种GIS(地理信息系统)计算方法,用于根据不同条件搜索潜在区域。主要参数是立陶宛行政区域中心基于时间的可访问性。还包括其他因素,例如区域内的道路网络密度,区域内局部道路的密度,行政区域内1000名居民的道路长度,行政区域内1000名农村居民的局部道路长度; GIS应用程序计算行政区域的等级。 GIS决策支持系统的第一阶段基于两种计算方法:Topsis(类似于理想解决方案的订单偏好技术)和SAW(简单加法加权)。 GIS应用程序的第二阶段用于预测潜在的居民区。此应用程序的主要输入GIS数据是道路和街道网络。次要数据包括建筑物,工程实用程序以及景观,水文,文化遗产对象的层。此外,应用程序用户可以输入不同的技术参数:距市中心的行驶时间,与主要道路的可能距离,与混凝土公用设施的距离等。所有输入的用户参数将用于生成GIS数据潜在区域;满足所有进入的条件和不同物体的保护区域。

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