106 research outputs found

    Automobile transport system analysis and ranking in Lithuanian administrative regions

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    Identifying accessibility is a standard issue of transport analysis, which can be of interest to many socioeconomic applications. In this paper we propose and discuss the accessibility‐based Lithuanian automobile transport system analysis and GIS (geographical information systems) calculation method for searching a potential territory under different conditions. In our analysis the main parameter is time‐based accessibility from the centres of Lithuanian administrative regions to all the territory. According to accessibility and regional statistics, i.e. road network density in regions, density of local roads in regions, length of roads per 1000 inhabitants in administrative regions, length of local roads per 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 GIS application is used for planning accessibility in the Lithuanian administrative regions. Major input into GIS data for this application is the road ant street network. Minor data is as follows: a layer of buildings, engineering utilities and landscape, hydrology, objects of cultural heritage. The application user can also enter different technical parameters: driving time from the centre, possible distance from major road, distance from specific utility, etc. Percentage of territorial distribution for the accessibility in half an hour from the administrative centre was used as a criterion for the calculation of municipalities ranking. First Published Online: 27 Oct 201

    Route planning methodology of an advanced traveller information system in Vilnius city

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    As a subsystem of an Intelligent Transportation System (ITS), an Advanced Traveller Information System (ATIS) disseminates real‐time traffic information to travellers. To help them with making better decisions on choosing their routes, a strong need to predict traffic congestion and to disseminate the predicted congestion information relating to travellers can be seen. This paper describes a methodology used by drivers for calculating an optimal driven route in Vilnius. The paper discusses how ATIS systems will likely evolve the experience of Information Service Providers (ISP) and optimal route planning calculations. A few methods of route planning have been taken into account. The paper presents the following types of route calculation: 1) the shortest route; 2) the quickest route; 3) the quickest forecasted route according to historical traffic information. Also, the paper deals with the architecture of the WEB based information system for drivers in Vilnius and analyzes data on traffic workflow. Furthermore, a comprehensive route planning procedure that forecasts data on driving time considering historical traffic is followed. First published online: 27 Oct 201

    A GIS and multi‐criteria‐based analysis and ranking of transportation zones of Vilnius city

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    Fixing the accessibility is a standard issue of transport analysis, which can be of interest to many socioeconomic applications. In the paper we propose and discuss accessibility and other indicators‐based urban transport system analysis and GIS (geographic information systems) calculation method for indicating problematic transportation zones in Vilnius city. The main parameter is time‐based accessibility from/to the central part of Vilnius and other transport zones in the city. Created GIS application computes the ranks for transport zones of Vilnius city according to accessibility and Vilnius statistics in these zones (street network density in city zones, number of working places, number of equipped parking places, number of attractive objects in transportation zones). The GIS decision support system is based on 2 calculation methods Topsis(Technique for OrderPreference by Similarity to Ideal Solution) and SAW (Simple Additive Weighting). Application of transportation zones analysis improves the quality of basic environment statistics and fills many data gaps related to urban statistics, providing information to decision‐makers and the general public concerning key factors determining the state of urban transportation environment. This paper outlines criteria and models used in Vilnius to develop urban transportation indicators and the reasons why the selected indicators represent the first important step to achieve a comprehensive system of indicators of urban transportation sustainability in Vilnius city. This model could be integrated in systems of urban transport planning and sustainable development planning. Santrauka Straipsnyje aptariama indikatorių sistema, reikalinga miesto transporto rajonams ranguoti, remiantis sprendimų paramos skaičiavimo metodais ir GIS (geografinės informacinės sistemos) technologijomis. Buvo identifikuojami Vilniaus miesto transporto rajonai, probleminiai susisiekimo sistemos požiūriu. Analizei atlikti buvo naudojami šie rodikliai: gatvių tinklo tankis, visuomeninio transporto tinklo tankis, automobiliu statymo vietų tankis, kelionių skaičius kiekviename transporto rajone, gatvių tinklo ilgis, tenkantis 1000 transporto rajono gyventojų, dirbančiųjų ir gyventojų tankių disproporcija transporto rajone, transporto rajono pasiekiamumas nuo miesto centro. GIS aplikacija su integruotais daugiakriteriniais sprendimų paramos sistemos skaičiavimo metodais, kaip paprastųjų svorių sudėjimo SAW ir idealiojo taško TOPSIS, ranguoja Vilniaus miesto transporto rajonus ir leidžia identifikuoti problemines susisiekimo sistemos požiūriu miesto vietas. Plečiant sukurta aplikacija, naudojant daugiau indikatorių galima sukurti bendra indikatorių sistemą miestų planavimo uždavinių sprendimams pagrįsti. First published online: 21 Oct 2010 Reikšminiai žodžiai: miesto susisiekimo sistema, geografinės informacinės sistemos, susisiekimo sistemos darna, susisiekimo sistemos planavimas, transporto rajonas, sprendimo paramos sistemo

    Multiple criteria assessment of a new tram line development scenario in Vilnius City public transport system

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    This paper considers the technological development of an additional network for Vilnius City public transport. Several types of scenarios for the development of Vilnius City tram line were analysed. This paper describes the situation pertaining to Vilnius City transport system as well as the traffic parameters, which are used for a multiple attribute ranking of a tram line development in Vilnius City. The multiple attribute criteria methods have been chosen to perform the ranking of three development scenarios and to estimate the best alternative based on the traffic conditions of Vilnius City. The experts of different decision-making groups have performed the importance analysis of traffic parameters, which were chosen for the assessment of alternative scenarios for the tram line development. The transport system experts were used to determine the relative weights of indicators. Two methods – TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and SAW (Simple Additive Weighting) – were used and compared to determine the best transport development alternative based on traffic parameters. Two multi-criteria methods were applied in this research to perform the ranking of more accurate alternatives and to make the comparison of calculation results

    Estimating Incoming Cross-border Trips Through Land Use data Resources – A Case of Karachi City

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    A multitude of studies have been motivated on the association between land use, urban settings and transport infrastructure to assist policy makers in sustainable planning. Alike, incorporation of cross-border trips have been an integral part of transportation demand models through external surveys. The present study seeks to explore the Incoming Cross Border Traffic (ICBT) into a study area based on the characteristics of a study area that attracts cross-border trips from outside region. This paper presents an analysis of cross-border trips in Karachi Metropolis, largest city of Pakistan, through Household Individual Survey (HIS-2010) and land use data from alternative resources. Results reveal that land use particulars, socioeconomic characteristics and travel attributes of individuals significantly influences cross-border trips and this effect varies spatially. Work, shopping and Education trips are discussed through separate models in this paper with a number of practical insights to policy makers for sustainable development of city. This study contribute in elucidating travel behaviour through land use parameters and also persuade professionals to integrate estimation of cross-border trips by socioeconomic parameters, in transport forecasting models
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