Abstract
The transport system of a Smart City consists of many subsystems; therefore, the modeling of the transportation network, which maps its structure, requires consideration of both the connections between individual subsystems and the relationships within each of them. The road and street network is one of the most important subsystems, whose main task is to ensure access to places generating travel demand in the city. Thus, its effectiveness should be at an appropriate level of quality. Connectivity is one of the most important characteristics of a road and street network. It describes how elements of that network are connected, which translates to travel times and costs. The analysis of the connectivity of the road and street network in urban areas is often conducted with the application of topological measures. In the case of a large area of the city, such analysis requires its division into smaller parts, which may affect the computational results of these measures; therefore, the main goal of the study was to present a method of performing analysis based on the computation of numerical values of selected measures of connectivity of road and street network, for a city area divided into fields of regular shape. To achieve that goal, the analyzed area was split into a regular grid. Subsequently, numerical values of the chosen measures of connectivity were calculated for each basic field, and the results allowed us to determine whether they are influenced by the method of division of the area. Obtained results showed that the size of the basic field influences the numerical values of measures of connectivity; however that influence is different for each of the selected measures.
Highlights
One of the most important features of the transport system in Smart Cities is ensuring an adequate level of accessibility of this system both for all residents and for other people using its infrastructure [1,2].It largely depends on the structure of the transportation network, which should be characterized by an adequate level of redundancy, causing little vulnerability to disturbance [3,4,5,6,7,8]
It was not possible to calculate the numerical value in case of more basic fields than for beta measure
Findings on measures of connectivity of road and street network, presented in this paper, combined with the mathematical description of the method of computation in the case of an area divided into fields of regular size may be applied in a variety of research associated with the modeling of transport supply in Smart Cities
Summary
One of the most important features of the transport system in Smart Cities is ensuring an adequate level of accessibility of this system both for all residents and for other people using its infrastructure [1,2].It largely depends on the structure of the transportation network, which should be characterized by an adequate level of redundancy, causing little vulnerability to disturbance [3,4,5,6,7,8]. One of the most important features of the transport system in Smart Cities is ensuring an adequate level of accessibility of this system both for all residents and for other people using its infrastructure [1,2]. The connectivity of the road and street network is a feature that may significantly contribute to maintaining the proper level of the quality of the transport system in cities. It is important in cases of network disturbances caused by congestion or traffic incidents, when it is necessary to determine detour routes. The issue is an essential question in the planning and optimization of the transportation network elements both on a local and on a global scale
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
