UNITED REPUBLIC OF TANZANIA Prime Ministers Office for Regional Administration and Local Government
The Dar es Salaam City Council
CONSULTANCY SERVICES FOR THE CONCEPTUAL DESIGN OF A LONG TERM INTEGRATED DAR ES SALAAM BRT SYSTEM AND DETAILED DESIGN FOR THE INITIAL CORRIDOR
ANNEX VOLUME 3 FIELD SURVEYS AND DATA COLLECTION Final Report
Dar es Salaam June, 2007
1 Field Survey and Data Collection
TABLE OF CONTENTS
1. ACKNOWLEDGEMENTS------6 1.1. OBJECTIVE ------6 1.2. SURVEYS INFORMATION FUTURE UTILIZATION ------6 1.3. COMPUTER FILES AND CONVENTIONS ------7 1.3.1. DARTDBS ------7 1.3.2. MS-EXCEL FILES WITH MACROS ------8 2. INTRODUCTION TO MODELING ------9 2.1. GENERAL------9 2.2. A MODELING EXAMPLE WITH MANAGING ------11 2.3. TRANSPORTATION MODEL ------13 2.3.1. MAP------13 2.3.2. POINTS------29 2.3.3. LINKS ------33 2.3.4. ROUTES ------36 2.3.5. RESTRICTIONS ------39 2.4. TRANSPORTATION MODEL VALIDATION AND PROCEDURES ------44 3. DATA COLLECTION ACTIVITIES------47 3.1. WORK PREPARATION------47 3.1.1. FIELD PREVIEW------47 3.1.2. COMPILATION OF DATA ALREADY SURVEYED ------47 3.1.3. PLANNING FIELD SURVEYS, LOCATIONS, AND TEAM SIZING ------48 3.1.4. PLANNING & DEVELOPING DATA ENTRY: SOFTWARE AND PROCEDURES ------49 3.2. MAP SURVEYS------50 3.2.1. PASSING THRU NODES ------50 3.2.2. O/D NODES: CENTROIDS AND ZONES------50 3.2.3. LINKS ------52 3.2.4. ROUTES ITINERARIES ------54 3.3. TRAFFIC SUPPLY AND DEMAND SURVEYS ------54 3.3.1. OPTIONS AND JUSTIFICATIONS------58 3.4. FORMS AND PROCEDURES ------61 3.4.1. O/D SURVEY (ODSU) ------62 3.4.2. FREQUENCY AND VISUAL OCCUPANCY SURVEY (FVOSU)------66 3.4.3. CLASSIFYING COUNTING SURVEY (CCSU) ------68 3.4.4. VELOCITY, BOARDING AND ALIGHTING SURVEY (VBASU)------71 3.4.5. DIRECTIONAL FLOW (CLASSIFYING) COUNTING (DFSU) ------73 3.4.6. STATION BOARDING AND ALIGHTING SURVEY------75 3.5. SURVEY ACTIVITIES------77 3.5.1. TRAINING ------80 3.5.2. MONITORING AND EVALUATION ------84 4. DATA PROCESSING, ANALYSIS AND RESULTS------87 4.1. FREQUENCY AND VISUAL OCCUPANCY ------87 4.1.1. PEAK HOUR IDENTIFICATION ------88 4.1.3. PEAK EXPANSION FACTORS ------89 4.1.4. MASTER POINT – POINT 10 MOROGORO ROAD JANGWANI AREA ------89 2 Field Survey and Data Collection 4.1.5. BUS ROUTES FREQUENCIES LIST ------91 4.1.6. BUS ROUTES ITINERARIES ------92 4.2. ORIGIN AND DESTINATION ------94 4.3. MOST IMPORTANT ZONES ------94 4.4. ANALYSIS BY MUNICIPALITY------95 4.4.1. ILALA MUNICIPALITY------95 4.4.2. KINONDONI MUNICIPALITY ------97 4.4.3. TEMEKE MUNICIPALITY ------98 4.5. VELOCITY BOARDING AND ALIGHTING ------100 4.6. CLASSIFIED COUNTING’S ------102 4.6.1. POINT 10 CLASSIFIED COUNT RESULTS ------105 4.7. DIRECTIONAL FLOW RESULTS------108 4.8. STATION BOARDING AND ALIGHTING RESULTS------116 4.9. CBD TRANSPORTATION ZONES UPDATE ------118 5. RECOMMENDATIONS------120
APPENDIX ...... 121 APPENDIX A FVO FREQUENCIES LIST...... I APPENDIX B FVO ROUTE ITINERARIES ...... II APPENDIX C FVO PEAK FLOWS ...... III APPENDIX D OD SURVEY SAMPLES...... IV APPENDIX E VBA SURVEY RESULTS ...... V
LIST OF TABLES
TABLE 1 EXAMPLE OF NODES TABLE – EASTINGS AND NORTHINGS CAN BE ANY CONVENIENT XY COORDINATES SYSTEM.NODES TABLE – EASTINGS AND NORTHINGS CAN BE ANY CONVENIENT XY COORDINATES SYSTEM...... 18 TABLE 2LINKS TABLE –LENGTH MIGHT BEGREATER THAN THE DISTANCE BETWEEN THE NODES ...... 19 TABLE 3 NODES TABLE TO MODEL MAP AS EXAMPLE ...... 24 TABLE 4LINKS – ALTERNATIVE 1:DECLARING IF LINKS ARE TWO WAYS ...... 24 TABLE 5 TABLE OF LINKS – ALTERNATIVE 2: DECLARING EVERY ONE-WAY LINK...... 25 TABLE 6 LINKS WITH ATRIBUTE TYPE OF TRAFFIC...... 27 TABLE 7-DATA EXAMPLE FOR ONE O/D NODE ...... 32 TABLE 8SIMPLE LINKS TABLE EXAMPLE, FOR“NETWORKSTARTUP.XLS”...... 35 TABLE 9 GEO-REFERRED LINKS’ TABLE EXAMPLE (FROM JAKARTA MODEL DATA)...... 35 TABLE 10 -EXAMPLE OF ROUTES DATA ...... 38 TABLE 11 ROUTES ITINERARIES TO GEO-REFERENCED DATA (FROM JAKARTA DATABASE)...... 38 TABLE 12 SURVEY POINT LIST ...... 57 TABLE 13 -SAMPLE SIZE FOR ORIGIN-DESTINATION SURVEYS BASED ON PASSENGER TRAFFIC...... 61 TABLE 14VELOCITY BOARDING AND ALIGHTING SURVEY ROUTE SELECTION ...... 73 TABLE 15 STATION BOARDING AND ALIGHTING SURVEY POINTS ALONG MOROGORO ROAD ...... 77 TABLE 16 PASSENGER VOLUMES ON MAJOR SURVEY POINTS ...... 90 TABLE 17PEAK FACTORS FOR THE 5 FULL DAY SURVEYED POINTS (MORNING PEAK)...... 90 TABLE 18 PEAK FACTORS FOR THE 5 FULL DAY SURVEYED POINTS (EVENING PEAK)...... 90 TABLE 19 MOROGORO ROAD (POINT 10) ROUTES FREQUENCIES...... 92 TABLE 20 TOP TEN TRIP PRODUCTION WARDS ...... 96 3 Field Survey and Data Collection TABLE 21 TOP TEN TRIP ATTRACTION WARDS...... 96 TABLE 22ILALA MUNICIPALITY TRIP PRODUCTION AND ATTRACTION ...... 97 TABLE 23 KINONDONI MUNICIPALITY TRIP PRODUCTION AND ATTRACTION ...... 98 TABLE 24 TEMEKE MUNICIPALITY TRIP PRODUCTION AND ATTRACTION...... 99 TABLE 25 SELECTED ROUTES OPERATIONAL PARAMETERS...... 102 TABLE 26 MORNING PEAK PROPORTIONS FOR TRANSPORTATION MODES ...... 103 TABLE 27 MORNING PEAK PROPORTIONS FOR TRANSPORTATION MODES ON POINT 10 ...... 106 TABLE 28 POINT 10 CLASSIFIED COUNTING’S RESULTS...... 107 TABLE 29 MOROGORO ROAD WAY 1 BOARDING AND ALIGHTING RESULTS ...... 117 TABLE 30 MOROGORO ROAD WAY 2 BOARDING AND ALIGHTING RESULTS ...... 118
LIST OF FIGURES
FIGURE 1 SATELLITE PICTURE: DAR ES SALAAM, FROM GOOGLE EARTH...... 14 FIGURE 2 DETAIL FROM SATELITE PICTURE ...... 15 FIGURE 3MAP FROM DAR, SHOWING CONSTRUCTIONS ...... 15 FIGURE 4MODEL WITH EXTREME LEVEL OF DETAIL (CONSIDERING EACH BUILDING)...... 16 FIGURE 5 MODEL WITH VERY HIGH LEVEL OF DETAIL (CONSIDERING THE ADDRESSES) ...... 16 FIGURE 6MODEL WITH HIGH LEVEL OF DETAIL, CONSIDERING THE INTERSECTIONS ...... 17 FIGURE 7 MODEL WITH PRACTICAL LEVEL OF DETAIL, WITHOUT LAST WALKING LINK TO REACH ORIGINOR DESTINATION ...... 18 FIGURE 8 NODES OF “NETWORKSTARTUP.XLS”, WITHOUT IDENTIFICATION...... 20 FIGURE 9 NODES OF “NETWORKSTARTUP.XLS”, WITH IDENTIFICATION ...... 21 FIGURE 10 “NETWORKSTARTUP.XLS”CONSTRUCT! – ADDING TWO NEW LINKS...... 22 FIGURE 11 ROAD NETWORK WITHOUT DUMMY NODES FIGURE 12 ROAD NETWORK WITH DUMMY NODES…22 FIGURE 13 MAP WITH NODES IDENTIFIED AND GRID...... 26 FIGURE 14 EXAMPLE MAP SHOWING ONLY ONE WAY LINKS ...... 26 FIGURE 15 EXAMPLE MAP – THE GREEN LINKS EXISTS, BUT ONLY PEDESTRIANS...... 28 FIGURE 16 ROUTE DRAW ON MAP NETWORK ...... 31 FIGURE 17 PASSING THRU NODE - INTERSECTION EXAMPLE ...... 31 FIGURE 18 NODE WITHOUT MODELING INTERSECTION, AND NODE MODELING INTERSECTION …….……...... 43 FIGURE 19 FLOW OF PASSENGERS ON A POINT OF CONTROL...... 45 FIGURE 20 TRANSPORTATION MODELING PROCEDURE ...... 45 FIGURE 21 DSM NETWORK – PASSING THRU NODES...... 50 FIGURE 22 CENTROIDS AND ZONES BOUNDARIES ...... 51 FIGURE 23 DSM MODEL STREET LINKS ...... 52 FIGURE 24 MODEL LINKS BETWEEN CENTROIDS AND ROAD NETWORK...... 53 FIGURE 25 SURVEY POINTS LOCATION IN DSM...... 56 FIGURE 26 EXAMPLE OF SURVEY DETAILED POINT LOCATION ...... 61 FIGURE 27 OD SURVEYOR FORM...... 63 FIGURE 28 OD SURVEYOR KATAA AND MTAA CARD (TEMEKE) ...... 64 FIGURE 29 ODSURVEYOR KATAA AND MTAA CARD(ILALA AND KININDONI)...... 65 FIGURE 30 FVOSU FORM...... 67 FIGURE 31a. LIGHT DUTY/PASSENGERS VEHICLE FORM ………………………………………….69 FIGURE 31b HEAVY DUTY VEHICLES FORM AND CCSU FORM ...... 70 FIGURE 32 VBA GENERIC FORM...... 71 FIGURE 33 VBASU FORM FILLED WITH REFERENCES ...... 72 FIGURE 34 DFSU FORM...... 74 FIGURE 35 SBASU LOCATIONS (EXCEPT FIRE) ...... 75 FIGURE 36 SBASU FORM...... 76 FIGURE 37 SURVEYS FINAL SCHEDULE ...... 78 FIGURE 38 VBA SURVEYS FINAL SCHEDULE ...... 79 FIGURE 38a CLASSIFIED COUNTS PHASE 1 A SCHEDULE ...... 79 FIGURE 39 FIELD DATA COLLECTION WORK FLOW ...... 86 FIGURE 40 FULL DAY SURVEYED POINTS PAX/H PROFILE – PEAK HOUR DEPICTION...... 89 FIGURE 41 POINT 10 PEAK PASSENGERS VOLUME PER HOUR ...... 91 FIGURE 42 POINT 10 FULL DAY PASSENGER VOLUME PROFILE – HOURLY ANALYSIS...... 91 FIGURE 43 KIMARA – POSTA ROUTE ITINERARY...... 94 FIGURE 44 KIMARA – KARIAKOO ROUTE ITINERARY...... 94 4 Field Survey and Data Collection FIGURE 45 ILALA MUNICIPALITY WARDS ORIGIN/DESTINATION MATRIX PARTICIPATION...... 97 FIGURE 46 KINONDONI MUNICIPALITY WARDS ORIGIN/DESTINATION MATRIX PARTICIPATION...... 99 FIGURE 47 TEMEKE MUNICIPALITY WARDS ORIGIN/DESTINATION MATRIX PARTICIPATION ...... 100 FIGURE 48 DSM ORIGIN DESTINATION MATRIX DISTRIBUTED BY ZONES ...... 101 FIGURE 49 KIMKOO LOAD PROFILE PM PEAK HOUR ...... 103 FIGURE 50 MORNING PEAK MODAL SPLIT ...... 104 FIGURE 51 WAY 1 FULL DAY SURVEYED POINTS ALL TRAFFIC PROFILE...... 104 FIGURE 52 WAY 1 FULL DAY SURVEYED POINTS DALADALA TRAFFIC PROFILE...... 105 FIGURE 53 WAY 2 FULL DAY SURVEYED POINTS ALL TRAFFIC PROFILE ...... 105 FIGURE 54 WAY 2 FULL DAY SURVEYED POINTS DALADALA TRAFFIC PROFILE...... 106 FIGURE 55 MORNING PEAK MODAL SPLIT ON POINT 10 ...... 107 FIGURE 56 POINT 10 WAY 1 TRAFFIC ALL PROFILE...... 107 FIGURE 57 POINT 10 WAY 2 ALL TRAFFIC PROFILE...... 108 FIGURE 58 POINT 10 WAY 1 DALADALA TRAFFIC PROFILE ...... 108 FIGURE 59 POINT 10 WAY 2 DALADALA TRAFFIC PROFILE ...... 108 FIGURE 60 POINT 38 – MANDELA RD/SAM NUJOMA RD MOROGORO RD INTERSECTION...... 109 FIGURE 61 POINT 39 -SHEKILANGO RD MOROGORO RD INTERSECTION...... 110 FIGURE 62 POINT 45-MABIBO RD MOROGORO RD INTERSECTION ...... 110 FIGURE 63 POINT 40 -KAWAWA RD MOROGORO RD INTERSECTION ...... 110 FIGURE 64 POINT 41 -UNITED NATIONS RD MOROGORO RD INTERSECTION ...... 111 FIGURE 65 POINT 42-MSIMBAZI RD MOROGORO RD INTERSECTION ...... 111 FIGURE 66 POINT 43 -LUMUMBA STREET MOROGORO RD INTERSECTION...... 111 FIGURE 67 POINT 44 -BIBI TITI RD MOROGORO RD INTERSECTION ...... 112 FIGURE 68 POINT 53-OHIO STREET BIBI TITIRD INTERSECTION ...... 112 FIGURE 69 POINT 54 -MAKTABA STREET BIBI TITI RD INTERSECTION...... 112 FIGURE 70 POINT 55-UHURU STREET X BIBI TITI RD INTERSECTION ...... 113 FIGURE 71 POINT 56 -NKRUMAH STREET BIBI TITI RD LUMUMBA STREET INTERSECTION ...... 113 FIGURE 72 POINT 57 – KAWAWA RD – BAGAMOYO RD INTERSECTION ...... 113 FIGURE 73 POINT 58 –KAWAWA RD – DUNGA STREET INTERSECTION ...... 114 FIGURE 74 POINT 59 –KAWAWA RD – KINONDONI RD INTERSECTION ...... 114 FIGURE 75 POINT 60 –KAWAWA RD - MWINYIJUMA STREET INTERSECTION ...... 114 FIGURE 76 POINT 61 –KAWAWA RD – MLANDIZI STREET INTERSECTION ...... 115 FIGURE 77 POINT 62 –MSIMBAZI STREET - SWAHILI STREET INTERSECTION ...... 115 FIGURE 78 POINT 63 –MSIMBAZI STREET - MAFIA STREET INTERSECTION ...... 115 FIGURE 79 POINT 64 –MSIMBAZI STREET - UHURU STREET INTERSECTION ...... 116 FIGURE 80 POINT 65 –MSIMBAZI STREET - LINDI STREET INTERSECTION ...... 116 FIGURE 81 POINT 66 –MSIMBAZI STREET – NYERERE ROAD INTERSECTION ...... 116 FIGURE 82 CBD ORIGINAL DIVISION ...... 119 FIGURE 83 NEW TRANSPORTATION ZONES CBD DIVISION ...... 120 5 Field Survey and Data Collection ACRONYMS AND ABBREVIATIONS
BRT: Bus Rapid Transit CCSu: Classified Count Survey CBD: Central Business District DART: Dar Rapid Transit DFSu: Directional Flow Survey DBMS: Database Management System DCC: Dar es Salaam City Council DSM: Dar es Salaam FVOSu: Frequency and Visual Occupancy GIS: Geographic Information System ITDP: Institute for Transportation and Development Policy NMT: Non-Motorized Transport ODSu: Origin Destination Survey SBASu: Station Boarding and Alighting Survey VBASu: Velocity Boarding and Alighting Survey
6 Field Survey and Data Collection
1. ACKNOWLEDGEMENTS After a feasibility study on the possibilities of implementing a modern urban transportation system in the city of Dar es Salaam, formal/contractual agreements between the Dar es Salaam City Council, through the DART Project Management Unit (PMU), Logit Consultancy (LOGIT), Inter Consult Ltd. (ICL) and The Institute for Transportation and Development Policies (ITDP) for the implementation of such a system were set under the sponsorship of the World Bank.
1.1. OBJECTIVE This report provides recent information acquired on traffic and demand analysis modeling surveys conducted in DSM for a period of four months (from April to July 2005). Also it describes and evaluates the activities developed while doing so as well as providing an inventory with resources for mutual use by transportation engineers/planners, environmentalist and other concerned parties.
The main objective to conduct the surveys is to obtain information for assembling the Transport Model for DSM, calibrate and validate it.
Results presented herein, are a summary of the synthesized surveys information that might be useful for the understanding of the model.
The completeness of this report is totally dependent on information as reported in the surveys.
1.2. SURVEYS INFORMATION FOR FUTURE UTILIZATION The organization of the presented surveys information makes it very useful for future utilization mostly in the urban development plans for DSM.
Future uses of the organized information among others are: