Smart Transport Literature Gap Analysis

Customer: AI | Published: 15.10.2025

I am preparing a PhD article in Civil Engineering on developing a Smart City Transport Plan, with a particular emphasis on urban transport development. To ground the study on solid evidence and reveal where new contributions are still required, I need a two–stage piece of work: First, a rigorous bibliometric review drawn exclusively from Scopus. This stage should map the evolution of the field, key authors, journals, collaboration patterns, and dominant themes. The raw dataset, search strings, inclusion criteria, and PRISMA-style screening flow must be transparent so that every step can be replicated or audited later. Second, a critical gap analysis that converts those metrics and visualisations into a coherent discussion of what has been researched, what remains under-explored, and where the most promising avenues for future inquiry lie. That insight will form the backbone of the manuscript. The final deliverable is a journal-ready research article (target length roughly 6,000–8,000 words) written in clear academic English, formatted in Harvard style, and with all references exported through RefWorks so they drop straight into my database. Charts, network diagrams, and tables created in VOSviewer, R (bibliometrix), or similar open tools are welcome, provided the project folder contains both images and editable source files. Absolutely no AI-generated text or lifted passages: every sentence must be original, fully cited, and capable of passing a detailed originality check. Once delivered, I will review the analysis against the data files; if everything aligns and the discussion convincingly pinpoints research gaps within urban transport development, the assignment is complete and the article can move to submission.