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ADECGIS-T 2011, St. Petersburg, Fl1 Transit Stop Consolidation Evaluation of State of Practice GIS in Transit 2011 St. Petersburg, Florida Sep. 13-15,

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Presentation on theme: "ADECGIS-T 2011, St. Petersburg, Fl1 Transit Stop Consolidation Evaluation of State of Practice GIS in Transit 2011 St. Petersburg, Florida Sep. 13-15,"— Presentation transcript:

1 ADECGIS-T 2011, St. Petersburg, Fl1 Transit Stop Consolidation Evaluation of State of Practice GIS in Transit 2011 St. Petersburg, Florida Sep. 13-15, 2011 Maaza Mekuria, PhD, PE, PTOE ADECorp San Jose, CA

2 ADECGIS-T 2011, St. Petersburg, Fl2 Modeling Paradigms Continuous –Pros Useful for exploring relationships between variables (demand, spacing, volume) –Cons Lacks sensitivity to –Location/safety –demand concentration –Access network geometry

3 ADECGIS-T 2011, St. Petersburg, Fl3 Modeling Paradigms Discrete –Pros (can be made to be sensitive to) Physical location Demand intensity Access network geometry –Cons Requires –More detailed data –Robust analytical tools –More time

4 ADECGIS-T 2011, St. Petersburg, Fl4 Stop Spacing Impacts

5 ADECGIS-T 2011, St. Petersburg, Fl5 Modeling Stop Spacing Single/Bi-Directional Stops Multiple Periods Sensitivity to Various Input Parameters Common Base for comparison What if scenarios

6 ADECGIS-T 2011, St. Petersburg, Fl6 State of the Practice Rule of Thumb based on –Demand at a stop –Proximity to the nearest stop –Other policy considerations

7 ADECGIS-T 2011, St. Petersburg, Fl7 Stop Spacing Optimization Geographic modeling –Walk impact using real street network –Demand density using parcel attributes –Stop enumeration –Multi-period analysis –Sensitivity analysis

8 ADECGIS-T 2011, St. Petersburg, Fl8 Service Area Analysis using three data sets

9 ADECGIS-T 2011, St. Petersburg, Fl9 DP Immediate Cost Computation To find costs at j, need to specify at least 1 or more predecessor successor stops >=1-dimensional search space

10 ADECGIS-T 2011, St. Petersburg, Fl10 Quintuplet DP Algorithm walk(k; i,j,l,m) - sum of walking cost impacts associated with stop k over all periods ride(k; i,j,l,m) - sum of riding cost impacts associated with stop k over all periods Oper(k; i,j,l,m) - sum of operating cost impacts associated with stop k over all periods f(l; j,k,m) – optimal return function cost impacts associated with stop l to the end.

11 ADECGIS-T 2011, St. Petersburg, Fl11 Study Area I Transit Details Route 57 Crosstown Bus –Kenmore to Watertown 45 Inbound and 43 Outbound existing stops Peak ridership –AM East Bound to Kenmore –PM peak Westbound to Watertown

12 ADECGIS-T 2011, St. Petersburg, Fl12 Study Area II Transit Details Route 1 Crosstown Bus 35 SB, 36 NB existing stops Peak ridership –Balanced in both directions

13 ADECGIS-T 2011, St. Petersburg, Fl13 Rt 57 Cross-town Bus DP Result Comparison Vs Consultant Recommendation (Inbound dirn.) number of stops (Inbound) Change in Walk Time (Pax- Min/Day) Change in Running Time (min) Change in Walk Cost ($/Day) Change in Ride Cost ($/Day) Change in Operatin g Cost ($/Day) Change in Total Cost ($/Day) Existing45 Analyst recommendation317669-1.9$3,672-$2,509-$488$674 DP Optimum323955-1.8$1,761-$2,211-$469-$920

14 ADECGIS-T 2011, St. Petersburg, Fl14 Rt 1 Cross-town Bus DP Result Comparison Vs Consultant Recommendation Total 2-way stops Average walk time (min) Average ride time (min) Avg two- way running time (min) Change in Walk Cost ($/day) Change in Ride Cost ($/Day) Change in Oper Cost ($/Day) Change in Total Cost ($/Day) Existing713.4636.488.5 0000 Analyst recommendation553.7735.787.4705-267-113326 DP Optimal453.5735.586.1243-218-156-132

15 ADECGIS-T 2011, St. Petersburg, Fl15 Summary State of the Practice can not capture all factors Use of standard data sets Appropriate tools with flexibility Analyst input Geographic Output

16 ADECGIS-T 2011, St. Petersburg, Fl16 Questions?


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