The concept of city logistics has been used to describe the process of transportation and logistics optimization as performed by companies in the scope of urban areas by considering the environment, traffic and energy consumption aspects. This research identifies the gaps in city logistics research from actors, issues, method aspects and possible adoption in developing countries. According to the literature review, it was found that research in city logistics has been developed and extended to include various issues such as infrastructure, social, performance assessment and food safety. Meanwhile, city logistics involves different actors and stakeholders with different roles. Researches in city logistics field could utilize several methods as follows, Agent-Based Models (ABM), adaptive large neighborhood search (ALNS), 2-tuple hybrid ordered weighted averaging (THOWA), Gray Relational Analysis technique (GRA), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Genetic Algorithms (GA), Supply Chain operations reference model (SCOR), service oriented architecture (SOA), and Content Analysis (Qualitative).

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