KINERJA PELAYANAN BUS TRANS MAMMINASATA DI KORIDOR 3 KAWASAN MAMMINASATA

Bus Rapid Transit is expected to become mass transportation serving the Mamminasata agglomeration area, which includes Makassar City, Maros Regency, Gowa Regency and Takalar Regency. Efforts to realize the South Sulawesi Provincial Government program related to the implementation of the Mamminasata Bus Rapid Transit are very dependent on the services provided. This study aims to analyze the effectiveness of service performance and its effect on the movement system in Corridor 3 of the Mamminasata Region. This research method uses descriptive analysis techniques. The results of this study indicate that several service perfor-mance criteria are effective, such as service quality based on travel speed, level of fleet availability, vehicle age, low costs or affordable rates, safety or security and convenience, and timeliness of service based on travel time of each segment and service time. Whereas those that have not been effective include number of buses and fleet capacity, load factor, frequency, distance between stops, operating ratio, regularity, orderliness, accessibility, reliability, easily-accessed information, waiting time, headway, vehicle downtime, travel time, and circulation time. Keywords: Bus Rapid Transit, mass transit, service performance, movement system Abstrak Bus Rapid Transit diharapkan menjadi angkutan massal yang melayani wilayah aglomerasi Mamminasata, yang meliputi Kota Makassar, Kabupaten Maros, Kabupaten Gowa, dan Kabupaten Takalar. Upaya mewujudkan program Pemerintah Provinsi Sulawesi Selatan terkait penerapan Bus Rapid Transit Mamminasata ini sangat bergantung pada pelayanan yang diberikan. Penelitian ini bertujuan menganalisis efektivitas kinerja pelayanan dan pengaruhnya terhadap sistem pergerakan di Koridor 3 Kawasan Mamminasata. Metode penelitian ini menggunakan teknik analisis deskriptif. Hasil penelitian ini menunjukkan bahwa beberapa kriteria kinerja pelayanan sudah efektif, seperti kualitas pelayanan berdasarkan kecepatan perjalanan, tingkat ketersediaan armada, umur kendaraan, biaya rendah atau tarif terjangkau, keselamatan atau keamanan dan kenyamanan, serta ketepatan waktu pelayanan berdasarkan waktu tempuh setiap segmen dan waktu pelayanan. Sedangkan yang belum efektif meliputi kapasitas dan jumlah armada, faktor muat, frekuensi, jarak antarhalte, rasio operasi, keteraturan, ketertiban, komprehensif, aksesibilitas, keandalan, kemudahan informasi, waktu tunggu, waktu antara, waktu henti kendaraan, waktu perjalanan, serta waktu sirkulasi. Kata-kata kunci: Bus Rapid Transit, angkutan massal, kinerja pelayanan, sistem pergerakan

Assigning Bus Delay and Predicting Travel Times using Automated Vehicle Location Data

The Washington Metropolitan Area Transit Authority (WMATA) operates 1,250 buses on 168 different routes between 10,600 bus stops to support around 370,000 passengers each day. Utilizing sensors on vehicles and analyzing their location and movements throughout an hour, trip, or day can provide valuable information to a transit authority as well as to the users of a transit system. This amount of information can be overwhelming, but utilizing big data techniques can empower the data and the transit agency. First, this paper develops a methodology for assessing previous delays in the system by applying big data structure and statistical analysis to the data constantly collected by WMATA buses. This method of analysis also helps quantify the impact of potential transit system improvements. Second, the paper describes a model that uses the real-time data, that represents potential delays, to provide future passengers with more accurate arrival predictions despite delays. These analyses are powerful tools for agencies and planners to assess and improve transit service performance using big data analytics and real-time predictions.