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Content available Street anthropology – a culture of mobility
EN
The street anthropology is identical with the anthropology of urban life. In the past, a street was a place to socialize and, on equal footing with its architecture, it was part of the cultural identity of its inhabitants. The street reflects residents’ social, cultural and economic capital. Over time, mobility and communication accessibility have dominated the urban spatial policy. The contemporary street has become a "space of flows". The restoration of its original role requires a more balanced approach to cultural factors that determine the quality of life in a city. The article discusses characteristic features that determine patterns of mobility in modern streets.
PL
Antropologia ulicy jest antropologią życia miejskiego. Dawna ulica była miejscem kontaktów społecznych i na równi z jej architekturą stanowiła element tożsamości kulturowej mieszkańców. Odzwierciedla ich kapitał społeczny, kulturowy i ekonomiczny. Politykę przestrzenną miast zdominowała problematyka mobilności i komunikacyjnej dostępności terenów. Współczesna ulica stała się – „przestrzenią przepływów”. Przywrócenie jej pierwotnej roli wymaga bardziej zrównoważonego podejścia do kulturowych uwarunkowań jakości życia w mieście. Przedstawiono listę cech identyfikujących wzorce mobilności współczesnych ulic.
EN
This article contains results of studies on the applicability of data from Intelligent Transportation Systems (ITS) for the purposes of geographical studies regarding the spatial mobility of inhabitants within a big city. The article focuses on the option of applying two types of sub-systems – induction loops and automatic number-plate recognition (ANPR) – and includes examples of analyses based on the resulting data, which can serve as a basis for mobility studies. The area on the example of which the capabilities of application of ITS data have been presented is Lodz – a large city in central Poland. The conducted research shows that ITS systems offer an enormous potential in providing data for spatial mobility studies. In order to fully exploit its worth, however, it is imperative to expand the research procedure by including, for instance, the results of qualitative research. Also, the interpretation of results obtained on the basis of ITS data ought to be performed with an awareness of numerous significant preliminary and simplifying assumptions.
EN
The purpose of this article is to present the authors' own software for predicting changes in the density and directions of traffic flows and to compare overall results of research on transport accessibility with the results returned in the study of transport accessibility conducted with the software (isochronic accessibility). Developed for research purposes, the authors' application is based on Dijkstra's algorithm, which is classified as one of the greedy ones and does not always return optimum results, even though it is considered to be generally accurate. In the course of the research, it was stated that the implementation of Dijkstra's algorithm in the RoadLoad tool is suitable for studying and prognosing phenomena, under the assumption that there are detailed data on the point of departure and destination for each trip. The tool enables us to research a spatial (cumulated values of network load) as well as time-spatial (network load at virtually any time) dimension of the phenomenon. It cannot be applied, however, without the knowledge of the transport behavior characteristics of the users of the road system.
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