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Wyszukujesz frazę "travel demand management" wg kryterium: Temat


Wyświetlanie 1-4 z 4
Tytuł:
Travel demand management in the context of promoting bike trips, an overview of solutions implemented in Cracow
Zarządzanie popytem transportowym w kontekście promowania podróży rowerowych – przegląd rozwiązań realizowanych w Krakowie
Autorzy:
Nosal, K.
Powiązania:
https://bibliotekanauki.pl/articles/375312.pdf
Data publikacji:
2015
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
sustainable mobility
travel demand management
travel demand
bike trips
bike infrastructure
zrównoważona mobilność
popyt na podróże
zarządzanie popytem na podróże
wycieczki rowerowe
infrastruktura rowerowa
Opis:
Car traffic in cities causes a decrease in travel speed, irregularity of public transport operation and, as a consequence for travellers, significant time losses. Because of congestion the accessibility to the destination points, especially those that are located in the city centre, is threatened. Other difficulties concern: road safety, increasing air pollution, traffic noise and global warming. Construction of new roads and transport facilities requires large financial resources and covers large areas. City authorities implement many solutions to reduce these negative effects of car transport, including strategies which aim towards change in travel patterns. Inhabitants are encouraged to travel by more sustainable transport modes, including bikes. The concept is called travel demand management and in Poland is still a new approach to the passenger transport. This paper presents examples of instruments that are most commonly used abroad to encourage bike travels and an overview of the activities carried out to promote bike usage in Cracow. The paper also identifies Best Practices implemented in the area of Cracow and significant deficiencies in the basic issues and actions necessary to be undertaken in the future.
Ośrodki miejskie zmagają się z problemem nadmiernego ruchu samochodowego, który prowadzi do występowania zjawiska kongestii komunikacyjnej i towarzyszących mu skutków w postaci spadku prędkości podróży, nieregularności kursowania środków transportu publicznego, strat czasu ponoszonych przez podróżujących oraz obniżonej dostępności obszarów. Negatywne konsekwencje użytkowania samochodów dotyczą także kwestii bezpieczeństwa komunikacyjnego, wzrastającego zanieczyszczenia środowiska czy emisji hałasu. Inwestycje w transport drogowy wymagają dużych nakładów finansowych oraz wiążą się z zajętością obszarów, które mogłyby zostać wykorzystane w bardziej efektywny i przyjazny mieszkańcom miast sposób. Jedną z obecnie realizowanych koncepcji prowadzących do ograniczenia tych negatywnych zjawisk jest wdrażanie strategii mających na celu zmianę zachowań komunikacyjnych mieszkańców miast w kierunku korzystania z bardziej zrównoważonych form mobilności, w tym z jednośladów. To nowatorskie w Polsce podejście do przewozów pasażerskich zwane jest zarządzaniem popytem transportowym. 24 K. Nosal W niniejszym artykule zaprezentowano przykłady najczęściej stosowanych za granicą instrumentów zarządzania popytem transportowym, zachęcających do przejazdów rowerem, oraz przeprowadzono przegląd działań realizowanych w ramach promowania jednośladów w Krakowie. Wskazano dobre praktyki i innowacyjne rozwiązania wdrażane na gruncie krakowskim oraz istotne braki w podstawowych kwestiach i działa-nia niezbędne do realizacji w przyszłości.
Źródło:
Transport Problems; 2015, 10, 2; 23-34
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Impact assessment of short-term management measures on travel demand
Autorzy:
D'Cruz, Jinit J.M.
Alex, Anu P.
Manju, V. S.
Peter, Leema
Powiązania:
https://bibliotekanauki.pl/articles/223500.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
public transportation
travel demand management
four stage model
linear regression
modal shift
multinomial logit model
transport publiczny
zarządzanie podróżą
przesunięcie modalne
Opis:
Travel Demand Management (TDM) can be considered as the most viable option to manage the increasing traffic demand by controlling excessive usage of personalized vehicles. TDM provides expanded options to manage existing travel demand by redistributing the demand rather than increasing the supply. To analyze the impact of TDM measures, the existing travel demand of the area should be identified. In order to get quantitative information on the travel demand and the performance of different alternatives or choices of the available transportation system, travel demand model has to be developed. This concept is more useful in developing countries like India, which have limited resources and increasing demands. Transport related issues such as congestion, low service levels and lack of efficient public transportation compels commuters to shift their travel modes to private transport, resulting in unbalanced modal splits. The present study explores the potential to implement travel demand management measures at Kazhakoottam, an IT business hub cum residential area of Thiruvananthapuram city, a medium sized city in India. Travel demand growth at Kazhakoottam is a matter of concern because the traffic is highly concentrated in this area and facility expansion costs are pretty high. A sequential four-stage travel demand model was developed based on a total of 1416 individual household questionnaire responses using the macro simulation software CUBE. Trip generation models were developed using linear regression and mode split was modelled as multinomial logit model in SPSS. The base year traffic flows were estimated and validated with field data. The developed model was then used for improving the road network conditions by suggesting short-term TDM measures. Three TDM scenarios viz; integrating public transit system with feeder mode, carpooling and reducing the distance of bus stops from zone centroids were analysed. The results indicated an increase in public transit ridership and considerable modal shift from private to public/shared transit.
Źródło:
Archives of Transport; 2020, 53, 1; 37-52
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modelling of Travel Behaviour of Students Using Artificial Intelligence
Autorzy:
Alex, Anu P.
Manju, V. S.
Isaac, Kuncheria P.
Powiązania:
https://bibliotekanauki.pl/articles/224051.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
travel demand models
travel behaviour
transportation planners
travel management
econometric model
podróże
zachowania podróżujących
planowanie podróży
zarządzanie podróżą
model ekonometryczny
Opis:
Travel demand models are required by transportation planners to predict the travel behaviour of people with different socio-economic characteristics. Travel behaviour of students act as an essential component of travel demand modelling. This behaviour is reflected in the educational activity travel pattern, the timing, sequence and mode of travel of students. Roads in the vicinity of schools are adversely affected during the school opening and closing hours. It enhances the traffic congestion, emission and safety problems around schools. It is necessary to improve the safety of school going children by understanding the present travel behaviour and to develop efficient sustainable traffic management measures to reduce congestion in the vicinity of schools. It is possible only if the travel behaviour of educational activities are studied. This travel behaviour is complex in nature and lot of uncertainty exists. Selection of modelling technique is very important for modelling the complex travel behaviour of students. This leads to the importance of application of artificial intelligence (AI) techniques in this area. AI techniques are highly developed in twenty first century due to the advancements in computer, big data and theoretical understanding. It is proved in the literature that these techniques are suitable for modelling the human behaviour. However, it has not been used in behaviourally oriented activity based modelling. This study is aimed to develop a model system to predict the daily travel behaviour of students using artificial intelligence technique, ANN. These ANN models were then compared with the conventional econometric models developed. It was observed that artificial intelligence models provide better results than econometric models in predicting the activity-travel behaviour of students. These models were further applied to study the variation in activity-travel behaviour, if short term travel-demand management measures like promoting walking for educational activities are implemented. Thus the study established that artificial intelligence can replace the conventional econometric methods for modelling the activity-travel behaviour of students. It can also be used for analysing the impact of short term travel demand management measures.
Źródło:
Archives of Transport; 2019, 51, 3; 7-19
0866-9546
2300-8830
Pojawia się w:
Archives of Transport
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Methodology for Long-Term Analysis of Innovative Signalling Systems on Regional Rail Lines
Autorzy:
D’Acierno, L.
Botte, M.
Di Salvo, C.
Caropreso, C.
Montella, B.
Powiązania:
https://bibliotekanauki.pl/articles/136192.pdf
Data publikacji:
2016
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
microscopic rail system simulation
operational cost definition
public transport management
signalling system
travel demand estimation
Opis:
A rail system may be considered a useful tool for reducing vehicular flows on a road system (i.e. cars and trucks), especially in high-density contexts such as urban and metropolitan areas where greenhouse gas emissions need to be abated. In particular, since travellers maximise their own utility, variations in mobility choices can be induced only by significantly improving the level-of-service of public transport. Our specific proposal is to identify the economic and environmental effects of implementing an innovative signalling system (which would reduce passenger waiting times) by performing a cost-benefit analysis based on a feasibility threshold approach. Hence, it is necessary to calculate long-term benefits and compare them with intervention costs. In this context, a key factor to be considered is travel demand estimation in current and future conditions. This approach was tested on a regional rail line in southern Italy to show the feasibility and utility of the proposed methodology.
Źródło:
Transactions on Environment and Electrical Engineering; 2016, 1, 3; 77-85
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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