| Title |
Method of the Analysis of the Connectivity of Road and Street Network in Terms of Division of the City Area |
| ID_Doc |
41794 |
| Authors |
Soczówka, P; Zochowska, R; Karon, G |
| Title |
Method of the Analysis of the Connectivity of Road and Street Network in Terms of Division of the City Area |
| Year |
2020 |
| Published |
Computation, 8, 2 |
| DOI |
10.3390/computation8020054 |
| 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. |
| Author Keywords |
geographical space; transportation network structure; connectivity measures; Smart City |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000551199500007 |
| WoS Category |
Mathematics, Interdisciplinary Applications |
| Research Area |
Mathematics |
| PDF |
https://www.mdpi.com/2079-3197/8/2/54/pdf?version=1592979074
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