A STUDY ON PLAUSIBLE MIGRATION OF PASSENGERS TO PUBLIC TRANSPORT BASED ON VEHICLE OCCUPANCY

A STUDY ON PLAUSIBLE MIGRATION OF PASSENGERS TO PUBLIC TRANSPORT BASED ON VEHICLE OCCUPANCY

BYREVANTH NANNAPANENI1Urban transport ScenarioURBAN TRANSPORT PROBLEMSPOLLUTIONCONGESTIONACCIDENTSIMPROVE INFRASTRUCTUREINCREASE IN PUBLIC TRANSPORT RIDERSHIPINCREASING NO. OF VEHICLESVEHICLE EMISSIONSPOOR TRAFFIC MANAGEMENTREDUCE NO. OF VEHICLESISSUESPROBLEMSALT. MEASURESCAUSES2Public Transport- modes & characteristicsCharacteristics that define transit modes: Right-of-way (ROW)TechnologyType of operations3Public Transport- modes & characteristics

Source: Vukan R Vuchic,20024objectivesIdentification of a stretch for the introduction of a new bus serviceEvaluating the existing traffic condition in terms of Vehicular volume, speed and occupancy on the corridorAssessment of the passenger demand for the service based on various possible modal shiftsInvestigating the Implementation and impact of the new service

5Literature review6WorkTitle and yearAuthor(s)Work and conclusionsRunoff Estimation for Darewadi Watershed using RS and GIS(2013)Arun W. DhawaleSCS curve number method using OVERLAY techniques. SCS method was validated.Curve Numbers for Nine Mountainous Eastern UnitedStates Watersheds: Seasonal Variation and Forest Cutting (2012)Negussie H. Tedela, Steven C. McCutcheon, P.E., M.ASCE, John L. Campbell,Wayne T. Swank, Mary Beth Adams and Todd C. Rasmussenevaluates the accuracy and consistency of the method using rainfall-runoff series from 10 small forested-mountainous watersheds in the eastern United States. Curve number method was accurate in nine out of ten watershedsSCS Curve number method in Narmada Basin (2012)Tejram Nayak, Verma M.K, Hema Bindu.S The direct surface runoff volume computed by the SCS Curve Number method have been compared with the observed runoff calculated from recorded hydrograph at G&D site for the selected rainfall events.Increase in agricultural area and reduction in forest area increased runoff from 20-40% between 2001 and 2007Study area

7methodologyIdentification of a stretch for the introduction of a new bus service.Understanding the existing public transport system in the city.Identifying the corridor that connects the industrial zone of the city to residential zones.Data collection and data extraction.Conducting traffic volume and speed studies.Conducting vehicle occupancy studies.Evaluating the existing modal choice.8. Assessment of the passenger demand for the bus service based on various possible modal shifts.Calculating the current total passengers travelling in the different sections of the stretch.Identifying the combination of modes based on the vehicle occupancy which would possibly shift to bus.Estimating the passenger demand the service needs to fulfill as per the identified modal shift scenarios.methodology9Implementation and impact of the new service.Evaluating the median and third quartile passenger demands in all the sections.Calculating the fleet size and frequency at which the service needs to be operated.Gauging the impact of new service on congestion

methodology10Traffic volume count surveyVehicle occupancy study

Data collection

11Existing modal choice12Existing passenger demand

1086612492584271817133668988551812.5189063555480570036664001STATE BANK TO KOTTARA CHOWKIKOTTARA CHOWKI TO STATE BANK13Passenger volume trend14Passenger volume trend15Passenger volume trend1617Passenger volume trend18Passenger volume trend19Passenger volume trendModal shift scenariosScenario 1: Shift from only Two-wheeler vehicle users.Scenario 2: Shift from only Three-wheeler vehicle users.Scenario 3: Shift from only Four-wheeler vehicle users.Scenario 4: Shift from only single occupant vehicles.

20Scenario 5: Shift from single and dual occupant vehicles.Scenario 6: Shift from all Two-wheeler users and Three-wheelers with single occupant.Scenario 7: Shift from all Two-wheeler users and Three-wheeler with single and dual occupant.Scenario 8: Shift from all of Two and Three-wheeler vehicle users.

Modal shift scenarios21Modal shift scenariosScenario 9: Shift from all the Two-wheelers and vehicles with single occupancy in Three and Four-wheelers.Scenario 10: Shift from all of Two & Three-wheelers and single occupant Four-wheelers.Scenario 11: Shift from all of Two & Three-wheelers and single, dual occupant Four-wheelers.Scenario 12: Shift from all of Two, Three & Four-wheelers.

22Scenario 1: Shift from only Two-wheeler vehicle users2324Scenario 2: Shift from only Three-wheeler vehicle users.25Scenario 2: Shift from only Three-wheeler vehicle users.26Scenario 3: Shift from only Four-wheeler vehicle users27Scenario 3: Shift from only Four-wheeler vehicle users28Scenario 4: Shift from only single occupant vehicles.2929Scenario 4: Shift from only single occupant vehicles.30Scenario 5: Shift from single and dual occupant vehicles.31Scenario 5: Shift from single and dual occupant vehicles.32Scenario 6: Shift from all Two-wheeler users and Three-wheelers with single occupant.33Scenario 6: Shift from all Two-wheeler users and Three-wheelers with single occupant.34Scenario 7: Shift from all Two-wheeler users and Three-wheeler with single and dual occupant.3536Scenario 7: Shift from all Two-wheeler users and Three-wheeler with single and dual occupant.Scenario 8: Shift from all of Two and Three-wheeler vehicle users.3738Scenario 8: Shift from all of Two and Three-wheeler vehicle users.Scenario 9: Shift from all the Two-wheelers and vehicles with single occupancy in Three and Four-wheelers.3940Scenario 9: Shift from all the Two-wheelers and vehicles with single occupancy in Three and Four-wheelers.Scenario 10: Shift from all of Two & Three-wheelers and single occupant Four-wheelers.41Scenario 10: Shift from all of Two & Three-wheelers and single occupant Four-wheelers.42Scenario 11: Shift from all of Two & Three-wheelers and single, dual occupant Four-wheelers.43Scenario 11: Shift from all of Two & Three-wheelers and single, dual occupant Four-wheelers.44Scenario 12: Shift from all of Two, Three & Four-wheelers.45Scenario 12: Shift from all of Two, Three & Four-wheelers.46Modal shift scenarios Fleet allocationThird Quartile Passenger Volumes from State Bank to Kottara Chowki.Median Passenger Volume from State Bank to Kottara Chowki.Fleet frequency required from State Bank to Kottara Chowki based on Median volume for a 30 seater bus.Fleet frequency required from State Bank to Kottara Chowki based on Third Quartile volume for a 30 seater bus.Fleet frequency required from State Bank to Kottara Chowki based on Median volume for a 50 seater bus.Fleet frequency required from State Bank to Kottara Chowki based on Third Quartile volume for a 50 seater bus.47Modal shift scenarios Fleet allocationThird Quartile Passenger Volumes from Kottara Chowki to State Bank.Median Passenger Volumes from Kottara Chowki to State Bank.Fleet frequency required from Kottara Chowki to State bank based on Median volume for a 30 seater bus.Fleet frequency required from Kottara Chowki to State bank based on Third Quartile volume for a 30 seater bus.Fleet frequency required from Kottara Chowki to State bank based on Median volume for a 50 seater bus.Fleet frequency required from Kottara Chowki to State bank based on Third Quartile volume for a 50 seater bus.48Modal shift scenarios impact on congestionFleet size required from State bank to Kottara Chowki based on Median passenger volume.(30-Seater)Fleet size required from Kottara Chowki to State bank based on Median passenger volume. (30-Seater)Expected Vehicle-Capacity ratios from State bank to Kottara Chowki based on Median passenger demand. (30-Seater)Expected Vehicle-Capacity ratios from Kottara Chowki to State bank based on Median passenger demand. (30-Seater)49Modal shift scenarios impact on congestionFleet size required from State bank to Kottara Chowki based on Third Quartile passenger volume. (30-Seater)Fleet size required from Kottara Chowki to State bank based on Third Quartile passenger volume. (30-Seater)Expected Vehicle-Capacity ratios from State bank to Kottara Chowki based on Third Quartile passenger demand. (30-Seater)Expected Vehicle-Capacity ratios from Kottara Chowki to State bank based on Third Quartile passenger demand. (30-Seater)50Modal shift scenarios impact on congestionFleet size required from State bank to Kottara Chowki based on Median passenger volume.(30-Seater)Fleet size required from Kottara Chowki to State bank based on Median passenger volume. (30-Seater)Expected Vehicle-Capacity ratios from State bank to Kottara Chowki based on Median passenger demand. (30-Seater)Expected Vehicle-Capacity ratios from Kottara Chowki to State bank based Median passenger demand. (30-Seater)51Modal shift scenarios impact on congestionFleet size required to meet the demand and the volume it would replace on the links from State bank to Kottara Chowki based on Third Quartile passenger volume. (30-Seater)Fleet size required to meet the demand and the volume it would replace on the links from Kottara Chowki to State bank based on Third Quartile passenger volume. (30-Seater)Expected Vehicle-Capacity ratios on the links from State bank to Kottara Chowki based on fleet requirement of Third Quartile passenger demand. (30-Seater)Expected Vehicle-Capacity ratios on the links from Kottara Chowki to State bank based on fleet requirement of Third Quartile passenger demand. (30-Seater)52conclusionsPassenger demands observed an increasing from Kottara Chowki to state bank bus stop. Consistency in the demand was found to most at the link joining Kottara Chowki to Urwa store. Overall demand was found to lie between 3000 to 6000 passengers per hour Scenarios when only one mode was targeted require lesser fleet size whereas they could not affect much on relieving congestion.Scenario where all the modes are considered could reduce congestion to good amount but requires a very high fleet size Scenarios which included the single occupant vehicles in one mode in combination with a full modal shift of two wheelers showed consistent demand and they resulted with total volumes after implementing system well within the capacity of the sections.Fleet based on quartile-3 demands could reduce the congestions effectively than median based demands.

53Fumihiko Nakamura, Izumi Okura, Hiroyuki Hiraishi, Ryusuke Takeuchi (2003) Feasibility Study On Demand Responsive Transport Systems (Drts) Journal of the Eastern Asia Society for Transportation Studies, Vol.5, Pages 388-397.Guohui Zhang, Shuming Yan, Yinhai Wang, (2009), Simulation-Based Investigation on High-Occupancy Toll Lane Operations for Washington State Route 167 Journal Of Transportation Engineering, ASCE, October 2009, DOI: 10.1061/(ASCE)0733-947X(2009)135:10(677).Hai Yang, Hai-Jun Huang (1999), Carpooling and congestion pricing in a multilane highway with high-occupancy-vehicle lanes, Transportation Research Part-A, 33, (1999), 139-155.IRC 86:1983, Geometric Design Standards for Urban Roads in Plains, The Indian Roads Congress, New Delhi.IRC 106:1990, Guidelines for Capacity of Urban Roads in Plains, The Indian Roads Congress, New Delhi.Joy Dahlgren (2002), High-occupancy/toll lanes: where should they be implemented? Transportation Research Part-A, 36 (2002), 239-255.Julio Comendador, Andrs Monzn,Mara Eugenia, Lpez-Lambas, (2014) A General Framework to Testing the Effect of Transport Policy Measures to Achieve a Modal Shift: A Sequential Hybrid Model Procedia - Social and Behavioral Sciences, Volume 162, 19 December 2014, Pages 243252.Madhav G. Badami, Murtaza Haider (2007) An analysis of public bus transit performance in Indian cities Transportation Research Part A: Policy and Practice, Volume 41, Issue 20, December 2007, Pages 961981.

54referencesMaster Plan (Revision II) report, MUDA Mangalore. Source:(http://mudamangalore.com/wp-content/uploads/master-plan-report/MASTER%20PLAN%20part%201.pdf)Muhammed Imran, lee Matthews (2015) Short-term public transport solutions in Auckland, New Zealand, Case Studies on Transport Policy, Elsevier, Volume 3, Issue 1, Pages 5565.Ned Levine, martin wachs, (1998) Factors affecting vehicle occupancy measurement Transportation Research Part A: Policy and Practice, Volume 32, Issue 3, April 1998, Pages 215229.Percentage of urban population (Provisional Population Totals), Census of India (2011). Source:(http://censusindia.gov.in/2011-prov-results/paper2/data_files/karnataka/4-population-8-19.pdf)Petra Szakonyi, Emese Mak (2014) Defining Correlation between the Modal Split of Inhabitants and Students and the Location of Housing Areas and Schools with the Analysis of Travel Plans Transportation Research Procedia Volume 4, 2014, Pages 271285 Roger L. Mackett, Marion Edwards (1998) The impact of new urban public transport systems: will the expectations be met? Transportation Research Part A: Policy and Practice, Volume 32, Issue No.4, May 1998, Pages 231245.S.onke Behrends (2012) The Urban Context of Intermodal Road-Rail Transport Threat or Opportunity for Modal Shift? Procedia - Social and Behavioral Sciences, Volume 39, 2012, Pages 463475Study on Traffic and Transportation Policies and Strategies in Urban Areas in India, Ministry of Urban Development (Wilbur smith associates), Government of India, New Delhi (2006).Thaned satienam, Sittha Jaensirisak,Wichuda Satiennam,Sumet Detdamrong (2015) Potential for modal shift by passenger car and motorcycle users towards Bus Rapid Transit (BRT) in an Asian developing city, IATSS Research (2015), http://dx.doi.org/10.1016/j.iatssr.2015.03.002

55referencesVukan R. Vuchic (2002) Bus Semirapid Transit Mode Development and Evaluation Journal of Public Transportation, Volume 5, Issue No. 2, Pages 71-95, University of Pennsylvania.Vaishali M. Patankar, Rakesh Kumar and Geetam Tiwari, Impacts of Bus Rapid Transit Lanes on Traffic and Commuter Mobility, Journal of Urban Planning and Development, ASCE, JUNE-2007.133:99-106.

56references57