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EN
The behavioral features of the population are addressed in transport models by different levels of territorial disaggregation and the creation of demand strata in a territory. The need for input data grows exponentially with the demand for a detailed zonal system of the territory. The basic source is the mobility survey. This article deals with the comparison of the calculation of the probability of choosing a transport mode for trips using the classic multinominal logit model and the best-worst method. We used data from a mobility survey in the Žilina region as a basic sample. The analysis covered 11 districts and their gravity areas. The individual transport relations are evaluated in detail in the analysis. The results confirm the high degree of accuracy of the best-worst method in the calculation of mode choice on a regional scale. Despite the promising results of the agreement in the confrontation with the mobility survey, it is necessary to verify the modeled data with a more detailed area with disaggregation on-demand strata.
EN
Transportation is undergoing its most significant transformation since the inception of road transport. This transformation is fueled by concerns about climate change and technological advancements. Understanding the current situation in medium- sized cities across Europe is crucial to developing transportation concepts for urban areas within the EU. This study offers insights into the current state of urban mobility in post- communist countries and depicts the current spatial mobility in a medium-sized city. The aim of this study is to evaluate the influence of selected socioeconomic factors on the mobility of employees and students. This study, conducted in 2019, employed quantitative research methods, including a questionnaire survey. In total, 545 employees and students participated in the survey, representing a significant indicator of mobility in the city of Zlín. Data analysis was performed using nonparametric methods. The results indicate a relationship between respondents’ job classification, age group, transportation time, and choice of means of transport. These findings can be applied to countries with similar historical and cultural development backgrounds, such as Poland, Hungary, and Slovakia.
EN
We study a production scheduling problem, which adresses on the one hand the usual operational constraints such as the precedence of operations, time windows, delays, uniqueness of treatment, availability of resources, and waiting times. On the other hand, the problem takes into account possible restricted movements according to production orders. This problem is a variant of a flexible job shop scheduling problem with several types of sequence-dependent constraints. We consider additional sequence-dependent setup times, as well as sequence-dependent transportation and assignment restrictions. We propose a mixed integer programming model (MIP). It is based on the MIP model of a flexible job shop scheduling problem, in which we add those sequence-dependent constraints. We solve it with a general purpose MIP solver.
4
Content available remote Mode choice modelling for urban areas
EN
This article addresses the issue of mode choice modelling using a four-stage travel modelling process. The article indicates limitations of the currently used simplified methods of mode choice modelling and proposes the use of a more detailed approach that accounts for additional, statistically significant factors with the use of advanced mathematical tools and discrete choice models. A need has also been identified to include qualitative factors in forecasting the modal split and in the scenario analyses.
PL
W artykule przedstawiono problematykę modelowania wyboru środka transportu w czterostopniowym procesie modelowania podróży. W artykule wskazano ograniczenia obecnie stosowanych uproszczonych metod modelowania wyboru środka transportu oraz przedstawiono możliwości zastosowania bardziej szczegółowego podejścia uwzględniającego dodatkowe, statystycznie istotne czynniki z wykorzystaniem zaawansowanych narzędzie matematycznych, w szczególności modeli wyboru dyskretnego. Wskazano również potrzebę uwzględnienia czynników jakościowych w prognozowaniu podziału zadań przewozowych i analizach scenariuszy.
EN
Modal share is an important component in developing sustainable transport within a city. In recent years, many cities have set modal share targets for balanced and sustainable transport modes: 30% of public transport and 30% of non-motorized (cycling and walking) modes. Gdansk strategic documents have set similar goals with some actions already taken towards those goals. The cycle network is increasing popular. Gdansk’s cycling infrastructure is more developed than that in other Polish cities. Promotional actions are undertaken each year. Despite that, the share of cycling in the modal split still remains at the low level of 1-3%. The article analyses the case study of Gdansk’s cycling policy and its results. The article summarizes the modal share targets set in Gdansk’s strategic documents, describes the development of its cycle network and promotional campaigns, and presents the volume of bicycle traffic and its share in the city’s modal split. Finally, the article aims to identify the causes behind the low percentage of bicyclists in Gdansk.
Logistyka
|
2015
|
nr 4
948--956, CD1
PL
Transport jest istotnym czynnikiem rozwoju gospodarczego. Jednakże transport generuje koszty zewnętrzne, które negatywnie oddziałują na społeczeństwo i gospodarkę oraz wzrastają wraz ze zwiększeniem się wielkości zadań przewozowych. Prognozy przewozów towarowych oraz pasażerskich w UE wskazują, iż transport drogowy jest i będzie dominującym środkiem transportu. Należy dążyć do tego, aby zminimalizować sumaryczną wielkość kosztów zewnętrznych generowanych przez system transportowy. Negatywne oddziaływanie transportu drogowego jest większe niż transportu kolejowego, odzwierciedleniem czego jest większa wartość wskaźników kosztów zewnętrznych. Aby zmniejszyć koszty zewnętrzne potrzebna jest zatem strategia obejmująca zachęcanie do innowacji technologicznych, polityka konkurencji, prawodawstwo i ustalanie norm. Innym z działań może być takie dostosowanie środków do zadań biorąc pod uwagę kryterium zewnętrznych kosztów transportu.
EN
Transportation is an important factor behind the economic development. However, transport users generate external costs, which have a negative impact on society and the economy. These costs increase in conjunction with the escalation of transport tasks. Forecasts of freight and passenger transportation in the EU indicate, that road transport will be a dominant means of transport. The aim should be to minimize a total amount of the external costs generated by transportation system. The negative impact of road transport is greater than railway transport, which is a reflection of greater value of external costs indices. To reduce external costs is needed a strategy that includes encouraging technological innovation, competition policy, legislation and setting standards. Another of action can be adjustment means to the transport tasks taking into account the criterion of external costs.
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