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"Understanding the role of the built environment in decisions to bicycle may lead to positive infrastructure policy. Several studies support the notion that providing bicycle infrastructure, particularly lanes and paths, can increase bicycle use. Many of these studies, however, rely on aggregate data, making it difficult to examine the direct relationship between infrastructure and behavior. The aim of this paper is to identify the arrangements of bicycle infrastructure at Universitas Indonesia (UI) Campus Depok, and to provide recommendations to fulfill the needs of cyclists so as to encourage cycling on campus. Bicycle infrastructure at the Universitas Indonesia Campus receives good ratings. The findings indicate that the quality of facilities strongly influences respondents' assessment, followed by perceptions of reliability, convenience, accessibility, and security. The willingness to use a bicycle as a mode of transport on campus is influenced by reliability and accessibility. This paper concludes that UI has the opportunity to become a more bicycle-friendly campus, and that greater cycle ability can be achieved by planning, investment of funds for infrastructure development, and programs aimed at improving safety and enhancing convenience."

"Penelitian ini bertujuan menemukan rute logistik yang optimum dari segi biaya dan emisi dengan menggunakan kendaraan listrik dan konvensional dan mempertimbangkan kemacetan untuk mendapatkan pemahaman praktis sebelum melakukan investasi kendaraan listrik. Untuk melakukan analisis, pertama model matematis dengan fungsi tujuan untuk meminimumkan biaya dan emisi menggunakan data sampel jaringan distribusi dengan 20 titik dijalankan pada 4 situasi lalu lintas; lancar, normal, sibuk pada waktu tertentu, dan sibuk, serta 3 situasi kendaraan; listrik saja, konvensional saja, dan campuran. Hasil kemudian dianalisis untuk menilai trade-off dan ditemukan bahwa pada seluruh situasi mendukung penggunaan kendaraan listrik karena lebih unggul secara biaya dan emisi. 

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This study aims to find an optimum route in terms of cost and emission using electric and conventional vehicles considering a congested road situation to gain a practical understanding for the feasibility to shift into electric vehicles. To conduct the analysis, a mathematical optimization model with the objective of minimizing cost and emission using sample distribution network data with 20 nodes is first run upon 4 traffic situations; empty, normal, congested at certain times, and highly congested, as well as 3 vehicle scenarios; only electric, only conventional, and mixed. The result is then analyzed to assess the trade-off and it was found that every situation favors the use of electric vehicles as it is superior in efficiency of cost and emission. "