### International Journal of Transportation Engineering and Technology

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Research Article |

### Parameter Estimation and Sensitivity Analysis of Bus Rapid Transit Frequency in Tanzania

Mathematical model on a single line was presented based on four equations; operation cost, passenger cost, total cost and Bus Rapid Transit (BRT) service frequency. The analysis of the model shows that the increase of BRT services frequency tends to increase total passenger demand which lead to decrease operational cost and passenger cost in terms of waiting time. In numerical simulation, it is observed that the increase of passenger demand (p), tends to increase the frequency of BRT. But absence of Passenger demand (p) reduce the BRT frequency which leads to increase operational cost; for example, paying salary for BRT staff, bus services and other cost like office expenses. Furthermore, passenger demand depends on other parameters like the decrease of value of initial bus cost BC0, waiting time Wt, average getting on and ending time per passenger Goe, proportion between average waiting period and the service a1, hurrying and slowing down at stops and at the junction plus passenger getting on and descending from the bus hs, increase the value of in-bus time serving Bts, and proportion of average trip length to the total rout length a2. The specific cases of BRT operation and passenger behaviour can be analysed for their effect on the value of a1. On the other hand, if movements are large and a timetable of bus plan is published, then passengers change their behaviour and arrive at bus stops a few minutes before the planned bus arrival. This indicates that there is much work to be done for BRT management. BRT management requires organisational efforts, deliberate planning, fund from the public, and coordination between of passengers and staff members.

Passenger Demand, Operation Cost, Passenger Cost, BRT Frequency, BRT

APA Style

Laurencia Ndelamo Massawe, Oluwole Daniel Makinde. (2023). Parameter Estimation and Sensitivity Analysis of Bus Rapid Transit Frequency in Tanzania . International Journal of Transportation Engineering and Technology, 9(4), 79-85. https://doi.org/10.11648/j.ijtet.20230904.12

ACS Style

Laurencia Ndelamo Massawe; Oluwole Daniel Makinde. Parameter Estimation and Sensitivity Analysis of Bus Rapid Transit Frequency in Tanzania . Int. J. Transp. Eng. Technol. 2023, 9(4), 79-85. doi: 10.11648/j.ijtet.20230904.12

AMA Style

Laurencia Ndelamo Massawe, Oluwole Daniel Makinde. Parameter Estimation and Sensitivity Analysis of Bus Rapid Transit Frequency in Tanzania . Int J Transp Eng Technol. 2023;9(4):79-85. doi: 10.11648/j.ijtet.20230904.12