Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Wyszukujesz frazę "modal shift" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Effects of the COVID-19 travel restrictions on metropolises mobility: empirical evidence from the Tri-City metropolis (Poland)
Wpływ ograniczeń podróży związanych z COVID-19 na mobilność metropolitalną: dowody empiryczne z metropolii trójmiejskiej (Polska)
Autorzy:
Grzelec, Krzysztof
Hebel, Katarzyna
Okraszewska, Romanika
Wyszomirski, Olgierd
Powiązania:
https://bibliotekanauki.pl/articles/34656111.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Gdański. Komisja Geografii Komunikacji Polskiego Towarzystwa Geograficznego
Tematy:
COVID-19 epidemic
lockdown
travel restrictions
transport mobility
modal shift
epidemia COVID-19
ograniczenia podróży
mobilność transportowa
przesunięcie modalne
Opis:
This paper aims to assess changes in mobility and modal shift caused by COVID-19 travel restrictions among the residents of Gdańsk Bay Metropolis (Poland). Measurement’s moments were assumed in periods differing in the level of restrictions. The computer-assisted telephone interview (CATI) was carried out in November and December 2020. The results did not confirm the expected modal shift. However, significant changes in the number of trips between periods were observed. Restrictions in the first period of the pandemic resulted in a greater decrease in mobility than the restrictions at the end of the year. Moreover, significant associations were found between transport behaviour and place of residence. Nevertheless, possible negative changes in the modal split after the pandemic ends should be counteracted by improving the quality of public transport services. As the most important attributes of public transport attracting passengers after the pandemic respondents recognized: high frequency of vehicles, low cost of travel, not overcrowded vehicles. However, some residents declared they will not use public transport regardless of service improvements. Consequently, to meet the objectives of sustainable mobility policy, it can be necessary to increase the share in the modal split of other sustainable modes of travel.
Źródło:
Prace Komisji Geografii Komunikacji PTG; 2023, 26(1); 52-68
1426-5915
2543-859X
Pojawia się w:
Prace Komisji Geografii Komunikacji PTG
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
    Wyświetlanie 1-2 z 2

    Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies