Increasing effectiveness of the transportation network by using the automation of a Voronoi diagram

Lebedeva, Ol'ga; Kripak, Marina; Gozbenko, V. E.

doi:10.1016/j.trpro.2018.12.118

Cited by 20 publications

(3 citation statements)

References 15 publications

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“…The Voronoi diagram function was used for this purpose. We were inspired by an article from (Lebedeva et al, 2018). Based on the principle of Delaunay triangulation a total number of 796 stops split the area of Cracow and its 500 m buffer zone into 796 polygons.…”

Section: Methodsmentioning

confidence: 99%

Multicriterial analysis of the accessibility of public transport stops in Cracow

Bárta¹,

Masopust²

2020

PKG

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This study deals with the synthesis of selected attributes of public transport accessibility. The aim is to present a new method of multi-criteria analysis. As the research area, the city of Cracow has been chosen. The GTFS (General Transit Feed Specification) system has been used to obtain traffic data for buses and trams within the city‘s transport company (MPK Krakow). The analysis itself consists of 4 main accessibility indicators (walking time to each stop, number of lines, directions, and connections from each stop). The problem of exceeding the stops accessibility beyond the administrative border of Cracow has been solved by using a 500 m wide buffer zone around the city. To connect the individual layers of indicators into a multicriteria analysis, the Voronoi diagram function has been applied. The results of the method are presented in the form of synthetic maps of transport accessibility for each bus and tram stop in Cracow. Together with the synthetic accessibility maps, an index of a stop importance has been created as well, which consists of the sum of the mean percentages from 3 indicators (number of lines, directions, connections). The synthetic method used and acquired detailed values not only for the city of Cracow as a whole, but also its individual parts make it possible to provide a comprehensive picture of accessibility by public transport. This multicriteria analysis can also be extended for a comparative study of selected cities.

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Section: Methodsmentioning

confidence: 99%

Multicriterial analysis of the accessibility of public transport stops in Cracow

Bárta¹,

Masopust²

2020

PKG

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“…Lebedeva et al applied the standard Voronoi diagrams to optimize freight delivery from logistics centers. Here, the focus of optimization is on econometric factors such as gasoline consumption and the average distance a package travels, thus achieving lower utilization of the road system [9]. In contrast to this approach, our method aims to achieve the highest possible coverage of the inhabited area by weighting the factors from the GIS data, and thus to be able to persuade people to switch to public transport.…”

Section: Voronoi Diagrams In Traffic Planningmentioning

confidence: 99%

A Method for the Optimized Placement of Bus Stops Based on Voronoi Diagrams

Stadler¹,

Hofmeister²,

Dünnweber³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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In this paper, a new method for placing bus stops is presented.The method is suitable for permanently installed new bus stops and temporarily chosen collection points for call busses as well. Moreover, our implementation of the Voronoi algorithm chooses new locations for bus stops in such a way that more bus stops are set in densely populated areas and less in less populated areas. To achieve this goal, a corresponding weighting is applied to each possible placement point, based on the number of inhabitants around this point and the points of interest, such as medical centers and department stores around this point. Using the area of Roding, a small town in Bavaria, for a case study, we show that our method is especially suitable for rural areas, where there are few multi-family houses or apartment blocks and the area is not densely populated.

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“…In this article, a problem of locating stations along a stretch of subway line is presented and discussed. The optimal location of subway stations and the allocation of demand to the various stations are two important aspects related to projects of this urban transport mode [35,38].…”

Section: Voronoi and Weber Problemmentioning

confidence: 99%

Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services

et al. 2021

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In the last few years, vehicle sharing has driven a gradual switch from ownership-based private mobility to service usage as a sustainable urban transport alternative. A significant number of cities have implemented mobility sharing programs. Shared transport reduces both traffic congestion, and the need for parking space, decreasing the number of vehicles on the road. The optimization of shared mobility service sites increases potential user access, reduces transportation costs, and augments demand for this transportation modality. Car sharing is a mobility concept where the usage of a vehicle fleet is shared among several people. This is a relatively new concept of transport, with short vehicle rental periods. It provides the convenience of private vehicles without additional charges. A key success factor is the location of sharing stations. The study presented here refers to a car sharing service to be operated by a carmaker in the city of São Paulo (Brazil). This article aims to identify and to select the best places to establish sharing stations within the company’s dealer and servicing network. A geographic information system (GIS) calculates spatial distribution of potential trip demand. Two models of hierarchical facility location are used to determine ideal station locations. It also suggests potential local partners to house car-sharing stations, such as hotels and private car parks. Voronoi diagrams support the location task. The recent rediscovery of Weber’s classic unique facility location problem has also been applied. The selection criterion was to maximize demand and hence operator profit, while minimizing obstacles like the distance to stations.

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Increasing effectiveness of the transportation network by using the automation of a Voronoi diagram

Cited by 20 publications

References 15 publications

Multicriterial analysis of the accessibility of public transport stops in Cracow

Multicriterial analysis of the accessibility of public transport stops in Cracow

A Method for the Optimized Placement of Bus Stops Based on Voronoi Diagrams

Using Hierarchical Facility Location, Single Facility Approach, and GIS in Carsharing Services

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