Application of MCDA/MCDM methods for an integrated urban public transportation system – case study, city of Cracow

The paper presents the application of the Multiple Criteria Decision Aid/Making (MCDA/MCDM) methodology in the assessment of the development of different scenarios for an urban public transportation system (UPTS). This methodology allows considering several conflicting objectives and performing the evaluation process in a comprehensive manner. This approach also corresponds to the holistic philosophy: different aspects (economic, technical, social etc.) and interest groups – stakeholders (operators, passengers, city government etc.). The MCDA/MCDM methodology is specifically customized to the real life case study – urban public transportation system in the city of Cracow (Poland). A family of 10 criteria is proposed to evaluate several solutions (W) for a UPTS in terms of their usefulness and attractiveness for different stakeholders. These criteria take into account: travel time and standard, effectiveness of the fleet use, environment friendliness, the level of integration and reliability of the UPTS, safety and security, the profitability and availability of the UPTS, investment costs. Considering the possible solutions, the 6 alternatives were designed heuristically and compared with the current state (denotation of alternative W0). Based on the analysis, for the final considerations compared with the current alternative, 7 new solutions of the integrated urban public transportation in Cracow were adopted, denoted as: W1 (bus/rail alternative: integration of high-speed agglomeration rail with bus transportation), W2 (rail/tram/bus alternative: integration of high-speed agglomeration rail with tram and bus transport system), W3 (alternative with the underground: integration of the underground with high-speed agglomeration rail and with tram and bus transport system), W4 (tram/rail alternative: integration of high-speed agglomeration rail with tram transport), W5 (Tram alternative: integration of tram transport with bus transport), W5A (tram alternative: sub-alternative to the alternative W5, integration of tram transport), W6 (dual-mode tram alternative: integration of dual-mode tram transport). The variants of the scenarios for the urban public transportation system were generated by VISUM computer macro-simulation software. The computational experiment was carried out with the practical application of different Multiple Criteria Decision Aid/Making methods: AHP (Expert Choice program) and Electre III (software package Diviz).

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Recommendation based on Prediction of Commuter Flow and Occupancy in Bus Transport

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c6595.098319 ◽

2019 ◽

Vol 8 (3) ◽

pp. 8302-8305

Keyword(s):

Transport System ◽

Public Transportation ◽

Traffic Congestion ◽

Credit Card ◽

Transportation System ◽

Smart Transportation ◽

The Public ◽

Public Transportation System ◽

User Friendly ◽

Bus Transport

The current public transportation in India is found to have higher traffic congestion levels within the bus and is an inefficient transport system for the public. The traffic and the over congested public transports we see on the roads is an effect of this problem. Increasing the public transportation is not the only solution, to make it better we also need to make it smarter. Though there are many other proposals for smart transportation we have come up with a unique way of approaching it. The aim is to provide smartness to the existing transportation system so that it becomes efficient and user-friendly for the public. The public need not depend on the paper tickets anymore and instead can have an smart RF ID with themselves which is not a big issue since its just credit card sized. One big advantage with this system is that public who are waiting to board can know the number of passengers in the vehicle and can decide whether to board or not beforehand. By this way the higher authorities can also see if there is a scarcity in any particular route and can immediately send more vehicles in the particular route. Using this technique, the congestion of the vehicles can be reduced and it will be easier for the public to make use of the public transportation system.

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A STUDY OF PARATRANSIT PUBLIC TRANSPORTATION SYSTEM IN A REGIONAL CORE CITY OF DEVELOPING COUNTRY : A case study of Songtaew in Khonkaen, Thailand

Journal of Architecture and Planning (Transactions of AIJ) ◽

10.3130/aija.69.125_3 ◽

2004 ◽

Vol 69 (580) ◽

pp. 125-131 ◽

Cited By ~ 1

Author(s):

Tetsuya ANDO ◽

Pichai UAMTURAPOJN ◽

Keiko ONO ◽

Shunsuke FUKUSHIMA

Keyword(s):

Developing Country ◽

Public Transportation ◽

Transportation System ◽

Public Transportation System

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ANALYSIS OF THE OPERATIONAL DATA OF A PUBLIC TRANSPORTATION SYSTEM: A CASE-STUDY OF THE BUS RAPID TRANSIT (BRT), LAGOS STATE, NIGERIA

Journal of Urban and Environmental Engineering ◽

10.4090/juee.2020.v14n1.087097 ◽

2020 ◽

pp. 87-97

Author(s):

OLUFIKAYO OLUWASEUN ADERINLEWO ◽

Gbemileke Adekunle Akinyemi ◽

Abayomi Afolayan ◽

Abayomi Modupe

Keyword(s):

Waiting Time ◽

Public Transportation ◽

Transportation System ◽

Bus Rapid Transit ◽

Rapid Transit ◽

Lagos State ◽

Public Transportation System ◽

Bus Stops ◽

Operational Data

This paper assesses the operational data of a public transportation system, using the Bus Rapid Transit in Lagos State as a case study. Demographic data was collected through the administration of questionnaires to the commuters; this was carried out to observe variations in the population of the commuters from different perspectives. Some other categories of data were collected which include boarding and alighting, headway, arrival rate of commuters, waiting time of commuters and travel time data. These data were presented and analysed with MS Excel and Minitab statistical softwares. Results from the boarding and alighting data showed bus stops with high flux of commuters, these were at Ojota, Ketu, Mile 12, Costain, CMS and TBS. Probability distribution charts were prepared to analyze the remaining sets of data. This was carried out to study the distribution and consistency of the data. Coefficients of variation for the data were also estimated to study the variability of the data. From the study, the data followed normal distribution and they were consistent such that they can be used for further analysis of the system. It can be concluded that the distribution depicts the real situation at the study location. Thus, bus stops with high density of commuters should be provided with more buses so as to reduce the waiting time of commuters.

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