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- 저자 : Lina Kattan (검색결과 4 건)
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Optimization of demand-responsive transit systems using zonal strategy
Lin Wang,Wirasinghe,Lina Kattan,Saeid Saidi 서울시립대학교 도시과학연구원 2018 도시과학국제저널 Vol.22 No.3
A mathematical model was developed and applied to optimize many to one demand-responsive transit (DRT) systems using a zonal strategy. Such a DRT system provides service between a residential area and a terminal. The model is used to design the transit system, with its terminal sitting within the service area, by minimizing costs that are separately generated in service zones. The decision variables are area of service zone and bus headway. Also stepwise procedures are derived to geographically and sequentially divide the service area into a number of service zones with optimal areas. A case study is conducted for a presumptive demand-responsive transit system operating in northwest Calgary, showing that the model can successfully assist in designing demand-responsive transit systems.
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Modelling traveller response to variable message sign
Joydip Majumder,Khandkar Nurul Habib,Lina Kattan,Tak Shing Fung 서울시립대학교 도시과학연구원 2013 도시과학국제저널 Vol.17 No.2
Rapid traffic growth in Calgary has put increased pressure in city's roadway network, especially on Deerfoot Trail which provides a fast access to north–south potion of the city. The city disseminates traffic information in Deerfoot through variable message sign (VMS) in case of major delays and usually diverts traffic to alternate parallel arterials. However, the reroute tendency of travellers significantly affects the diversion pattern at the VMS locations and this research targets the frequent users of Deerfoot Trail and investigates their rerouting tendency in light of important trip attributes drivers might associate with their trips. A total of 471 responses are collected from frequent users of Deerfoot Trail through a questionnaire survey and the analysis is focused on developing a relationship between reroute tendency and a set of explanatory variables, using generalized ordered logit (GOLOGIT) model and partially generalized regression models. The results have led to the conclusion that in addition to various socio-economic attributes, network familiarity and information access characteristics; trip characteristics also possess significant influences in rerouting decision-making. The study also proposes several implications for better design and operation of advanced traveller information systems and future effort on model estimation in light of the finding of the study.
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Public Transportation and Sustainability: A Review
Patrick Miller,Alexandre G. de Barros,Lina Kattan,S.C.Wirasinghe 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.3
Public transportation is often framed as a key component of building sustainable cities. Conversely, the social, economic, and environmental impacts of transport are framed as critical issues that can challenge the sustainability of cities and regions. This paper presents a critical literature review of the relationship between public transportation and sustainability. First the paper offers a review of key sustainable transportation concepts and how public transport contributes to sustainability goals. Second, the paper reviews past studies that analyse sustainable transportation in order to develop recommendations for planning, engineering, and researching sustainable public transport. Finally, the paper concludes by offering suggestions for future research into the sustainability performance of public transit.
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Lin Wang,Steven Chien,S. Chan Wirasinghe,Lina Kattan 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.7
This paper presents a mathematical model to optimize zonal demand responsive transit (DRT) considering heterogeneous environment (i.e., community boundary, land use, demand distribution, line-haul travel time, etc.) under the advent of Mobility-as-a-Service (MaaS). Since most previous models over-simplified conditions of the DRT service area, we propose a new modeling approach to formulate the operator and user costs. Passengers with varied expectations of vehicle arrival time at a drop-off location are considered. The average cost is minimized through optimizing service zone areas and associated headways subject to practical constraints (i.e., policy headway and vehicle capacity). A real-world region in the City of Calgary, Canada, is applied to demonstrate the applicability of the model. The impact of real-time vehicle arrival information to the optimal solution is assessed. The relationship between system parameters (i.e., line-haul travel time, demand density, vehicle capacity, and passenger composition, etc.) and the optimized solutions (i.e., zone area, headway, and costs) is explored through the sensitivity analysis.
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