URBAN COMMUNITY AL FAYHAA. RESULTS of the MOBILITY PLAN

Transcription

1 Contract nº: ME8/AIDCO/2001/0132/SMAP-7 URBAN COMMUNITY AL FAYHAA RESULTS of the MOBILITY PLAN Final Report Hani Al-Naghi, Traffic Engineer February 2006 ٠

2 TABLE OF CONTENTS Page 1 INTRODUCTION 2 2 TRAFFIC SURVEY 2 3 EMISSION FACTORS 10 4 BASE YEAR 2005 SCENARIO 11 5 YEAR 2020 DO NOTHING SCENARIO 15 6 YEAR 2020 RING ROADS SCENARIO 19 7 ASSESSMENT OF DIFFERENT SCENARIOS 23 8 CONCLUSIONS 24 ١

3 1. INTRODUCTION Traffic emissions was identified to be the major contributor in the total emissions of Al-Fayhaa. The objective of this study is to develop a sustainable mobility plan in order to reduce traffic emission levels. The developed computer model was used in analyzing current traffic conditions, forecast future traffic growth, and comparing variation in the mobility level of service and emission levels for different scenarios. 2. TRAFFIC SURVEY Figure 2.1 shows all 32 major intersections in the Fayhaa area, where new 2006 traffic counts at the most critical intersection 4, 12, 16, 20 and were used for model calibration and validation. Figure 2.1 Locations of Traffic Counts ٢

4 Figure 2.2 Manual Traffic Counts at various locations in Tripoli (February 27, 2006) ٣

5 Table 2.1 Turning Movement Conts at intersection 20 AL FAYHAA URBAN COMMUNITY Traffic Data Collection Date: February 27, 2006 Turning Movements Counts Type: Weekday Location: Big Bite Site # : TMC20 APPROACH SOUTH BOUND (A) EAST BOUND (B) NORTH BOUND (C ) WEST BOUND (D) Grand TIME Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Thru (2) Left (3) Total % of Traffic Total AM 7:00-7: :15-7: :30-7: :45-8: subtotal % % % % :00-8: :15-8: :30-8: :45-9: subtotal % % % % 3413 NOON 12:30-12: :45-13: :00-13: :15-13: :30-13: :45-14: subtotal % % % % :00-14: :15-14: :30-14: :45-15: subtotal % % % % 3399 PM 17:00-17: :15-17: :30-17: :45-18: subtotal % % % % :00-18: :15-18: :30-18: :45-19: subtotal % % % % 3005 ٤

6 Table 2.2 Turning Movement Conts at intersection 16 AL FAYHAA URBAN COMMUNITY Traffic Data Collection Date: February 27, 2006 Turning Movements Counts Type: Weekday Location: Azmi Site # : TMC16 APPROACH SOUTH BOUND (A) EAST BOUND (B) NORTH BOUND (C ) WEST BOUND (D) Grand TIME Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Thru (2) Left (3) U-Turn (4) Total % of Traffic Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Thru (2) Left (3) Total % of Traffic Total AM 7:00-7: :15-7: :30-7: :45-8: subtotal % % % % :00-8: :15-8: :30-8: :45-9: subtotal % % % % 3831 NOON 12:30-12: :45-13: :00-13: :15-13: :30-13: :45-14: subtotal % % % % :00-14: :15-14: :30-14: :45-15: subtotal % % % % 3823 PM 17:00-17: :15-17: :30-17: :45-18: subtotal % % % % :00-18: :15-18: :30-18: :45-19: subtotal % % % % 3123 ٥

7 Table 2.3 Turning Movement Conts at intersection 12 AL FAYHAA URBAN COMMUNITY Traffic Data Collection Date: February 27, 2006 Turning Movements Counts Type: Weekday Location: 200 Street Site # : TMC12 APPROACH SOUTH BOUND (A) EAST BOUND (B) NORTH BOUND (C ) WEST BOUND (D) Grand TIME Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Thru (2) Left (3) Total % of Traffic Right (1) Total % of Traffic Total AM 7:00-7: :15-7: :30-7: :45-8: subtotal % % % % :00-8: :15-8: :30-8: :45-9: subtotal % % % % 4099 NOON 12:30-12: :45-13: :00-13: :15-13: :30-13: :45-14: subtotal % % % % :00-14: :15-14: :30-14: :45-15: subtotal % % % % 4425 PM 17:00-17: :15-17: :30-17: :45-18: subtotal % % % % :00-18: :15-18: :30-18: :45-19: subtotal % % % % 3632 ٦

8 Table 2.4 Summary of the results Period AM APPROACH TMC20 TMC16 TMC12 Grand TIME Volumes Total 7:00-8: :00-9: NOON 13:00-14: :00-15: Peak Hour PM 17:00-18: :00-19: Delay Peak Hour 79.6 Sec/veh 55.4 Sec/veh 69.7 sec/veh Level of Peak Hour E E E Serivce Figure 2.3 Peak hour 1:00 2:00 PM turning movements TMC 20 TMC 16 TMC 12 ٧

9 Figure 2.4 Peak hour Analysis TMC 20 TMC 16 TMC 12 ٨

10 Figure 2.3 Automatic Traffic Counts in Tripoli (near intersection 4 Port - February 27, 2006) Date: 03/05/2006 VOLUMES VOLUMES TIME Eastbound Westbound Total Hourly TIME Eastbound Westbound Total Hourly 00: : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : :00: PEAK HOUR :15 02:00 03:45 05:30 07:15 09:00 10:45 12:30 14:15 16:00 17:45 19:30 21:15 23:00 Eastbound Westbound ٩

11 3. EMISSION FACTORS Traffic emissions factors was estimated using vehicle characteristics in Tripoli that was inputed into COPERT III and the results (g/km) are summerized in table 3.1 below, PM Nox VOC HOT Stabilized COLD Excess HOT Stabilized COLD Excess HOT Stabilized Sector Subsector Technology % of Traffic URBAN RURAL URBAN RURAL URBAN RURAL Gasoline <1,4 l ECE 15/ % Gasoline <1,4 l Euro I - 91/441/EEC 0.24% Gasoline <1,4 l Euro II - 94/12/EC 0.24% Gasoline <1,4 l Euro III - 98/69/EC Stage % Gasoline 1,4-2,0 l PRE ECE 0.22% Gasoline 1,4-2,0 l ECE 15/ % Gasoline 1,4-2,0 l ECE 15/ % Gasoline 1,4-2,0 l ECE 15/ % Gasoline 1,4-2,0 l ECE 15/ % Gasoline 1,4-2,0 l Euro I - 91/441/EEC 2.68% Gasoline 1,4-2,0 l Euro II - 94/12/EC 2.07% Gasoline 1,4-2,0 l Euro III - 98/69/EC Stage % Gasoline >2,0 l PRE ECE 0.22% Gasoline >2,0 l ECE 15/ % Gasoline >2,0 l ECE 15/ % Gasoline >2,0 l ECE 15/ % Gasoline >2,0 l ECE 15/ % Gasoline >2,0 l Euro I - 91/441/EEC 6.25% Gasoline >2,0 l Euro II - 94/12/EC 4.82% Gasoline >2,0 l Euro III - 98/69/EC Stage % Gasoline >3,5 t Conventional 0.21% Diesel 3,5-7,5 t Conventional 0.76% Diesel 3,5-7,5 t Euro I - 91/542/EEC Stage I 0.19% Diesel 3,5-7,5 t Euro II - 91/542/EEC Stage II 0.76% Diesel 3,5-7,5 t Euro III Standards 0.19% Diesel 7,5-16 t Conventional 0.05% Diesel 7,5-16 t Euro I - 91/542/EEC Stage I 0.08% Diesel 7,5-16 t Euro II - 91/542/EEC Stage II 0.13% Diesel t Conventional 0.13% Diesel t Euro I - 91/542/EEC Stage I 0.19% Diesel t Euro II - 91/542/EEC Stage II 0.32% Urban Buses Conventional 5.85% Urban Buses Euro I - 91/542/EEC Stage I 0.05% Urban Buses Euro II - 91/542/EEC Stage II 0.05% Urban Buses Euro III Standards 0.05% Buses Heavy Duty Vehicles Passenger Cars Table 3.1 Emission Factors for Tripoli EMISSION FACTORS (g/km) PM Nox VOC Benzene Toluene Xylene CO Urban Rural ١٠

12 4. BASE YEAR 2005 SCENARIO An EMME/2 model was developed for Al-Fayhaa urban area was developed to estimate traffic volumes and speeds on every road sections, thus, calculating mobility/operational level of service and emission level for the base year Figure 4.1 Output of the EMME/2 model for the year 2005 ١١

13 Figure 4.2 Geographical distribution of PM - Year 2005 ¹ Year 2005 Existing PM _ Kg/Day ٠ ١-٠ ٠ ٠ ٢-٠ ١ ٠ ٣-٠ ٢ ٠ ٤-٠ ٣ ٠ ٥-٠ ٤ ٠ ٦-٠ ٥ ٠ ٧-٠ ٦ Kilometers ١٢

14 Figure 4.3 Geographical distribution of NOx - Year 2005 ¹ Year 2005 Existing NOx - Kg/Day ٠-١٠ ٢٠-١٠ ٣٠-٢٠ ٤٠-٣٠ ٥٠-٤٠ ٦٠-٥٠ Kilometers ١٣

15 Figure 4.4 Geographical distribution of VOC - Year 2005 ¹ Year 2005 Existing VOC - Kg/Day ٥-٠ ١٠-٥ ١٥-١٠ ٢٠-١٥ ٢٥-٢٠ ٣٠-٢٥ ٣٥-٣٠ ٤٠-٣٥ ٤٥-٤٠ ٥٠-٤٥ Kilometers ١٤

16 5. YEAR 2020 DO NOTHING SCENARIO The developed EMME/2 model for Al-Fayhaa urban area was used to estimate traffic volumes and speeds on every road sections for the year 2020 (using the projection of 2005 traffic), thus, calculating mobility/operational level of service and emission levels. Figure 5.1 Output of the EMME/2 model for the year 2020 (Do nothing scenario) ١٥

17 Figure 5.2 Geographical distribution of PM - Year 2020 (DO Nothing) ¹ Year 2020 Do Nothing (PM (kg/day ٠ ١-٠ ٠ ٠ ٢-٠ ١ ٠ ٣-٠ ٢ ٠ ٤-٠ ٣ ٠ ٥-٠ ٤ ٠ ٦-٠ ٥ ٠ ٧-٠ ٦ Kilometers ١٦

18 Figure 5.3 Geographical distribution of NOx - Year 2020 (DO Nothing) ¹ Year 2020 Do Nothing NOx - Kg/Day ٠-١٠ ٢٠-١٠ ٣٠-٢٠ ٤٠-٣٠ ٥٠-٤٠ ٦٠-٥٠ Kilometers ١٧

19 Figure 5.4 Geographical distribution of VOC - Year 2020 (DO Nothing) ¹ Year 2020 Do Nothing VOC - Kg/Day ٥-٠ ١٠-٥ ١٥-١٠ ٢٠-١٥ ٢٥-٢٠ ٣٠-٢٥ ٣٥-٣٠ ٤٠-٣٥ ٤٥-٤٠ ٥٠-٤٥ Kilometers ١٨

20 6. YEAR 2020 RING ROAD SCENARIO The developed EMME/2 model for Al-Fayhaa urban area was used to estimate traffic volumes and speeds on every road sections for the year 2020 (using the projection of 2005 traffic), thus, calculating mobility/operational level of service and emission levels. Figure 6.1 Output of the EMME/2 model for the year 2020 (Ring Road) ١٩

21 Figure 6.2 Geographical distribution of PM - Year 2020 (Ring Road) ¹ Year 2020 Ring Roads PM _ Kg/Day ٠ ١-٠ ٠ ٠ ٢-٠ ١ ٠ ٣-٠ ٢ ٠ ٤-٠ ٣ ٠ ٥-٠ ٤ ٠ ٦-٠ ٥ ٠ ٧-٠ ٦ Kilometers ٢٠

22 Figure 6.3 Geographical distribution of NOx - Year 2020 (Ring Road) ¹ Year 2020 Ring Roads NOx - Kg/Day ٠-١٠ ٢٠-١٠ ٣٠-٢٠ ٤٠-٣٠ ٥٠-٤٠ ٦٠-٥٠ Kilometers ٢١

23 Figure 6.4 Geographical distribution of VOC - Year 2020 (Ring Road) ¹ Year 2020 Ring Roads VOC - Kg/Day ٥-٠ ١٠-٥ ١٥-١٠ ٢٠-١٥ ٢٥-٢٠ ٣٠-٢٥ ٣٥-٣٠ ٤٠-٣٥ ٤٥-٤٠ ٥٠-٤٥ Kilometers ٢٢

24 7. SESSMENT OF DIFFERENT SCENARIOS The results for all considered scenario are summarized in the table and figures below: Vehicle KM EMISSIONS Kg/Day SCENARIO CATEGORY 2005 Existing 2020 Do Nothing 2020 Ring Roads 2020 All Imp. Urban 72,174 80,478 52,645 50,145 Rural 162, , , ,116 Total 234, , , ,261 PM Nox 8,618 9,452 8,439 7,604 VOC 5,744 6,336 5,126 4,694 Benzene Toluene Xylene CO 38,744 42,617 36,260 32,925 PM Nox VOC Kg/Day Existing 2020 Do Nothing 2020 Ring Roads 2020 All Imp. PM Kg/Day 10,000 8,000 6,000 4,000 2, Existing 2020 Do Nothing 2020 Ring Roads 2020 All Imp. Nox Kg/Day 7,000 6,000 5,000 4,000 3,000 2,000 1, Existing 2020 Do Nothing 2020 Ring Roads 2020 All Imp. VOC Chart Title CO Kg/Day Existing 2020 Do Nothing 2020 Ring Roads 2020 All Imp. Benzene Toluene Xylene Kg/Day 50,000 40,000 30,000 20,000 10, Existing 2020 Do Nothing 2020 Ring Roads 2020 All Imp. CO ٢٣

25 COMPARING TURNING MOVEMENT COUNTS AT KEY INTERSECTIONS TMC 20 TMC 16 TMC 12 Year 2020 Do Nothing Year 2020 With Ring Road 8. CONCLUSION With the construction of the proposed eastern and western ring roads the 2020 emission levels will be reduced by 15% compared to the do nothing scenario, nevertheless, the geographical distribution of traffic, due to mobility improvement (with the diversion of the high through traffic volumes that will be bypassed on the new ring roads and releifing city central district), will remarkably reduce emission densities in congested areas like the selected 3 intersections along Tripoli boulevard. ٢٤

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