Applying a Hybrid Scoring Methodology to Transit Site Selection

Abstract

The greater South Florida region, well known for its diverse population, its pleasant climate, and its beaches, is no exception to traffic congestion problems. Using downtown Fort Lauderdale as a case study, this paper presents the results of a practical, and transparent hybrid scoring approach for evaluating six potential train station sites. Site selection criteria and subcriteria were derived from a mix of qualitative, observational, geographic information systems and other quantitative data inputs, and include: proximity (to individual destinations versus to destination type categories of transit, live, work, and play), developability (cost, availability, ownership, size, and land use), and visual quality (accessibility, connectivity, perceived safety, and general aesthetics). Normalized scores based on the three umbrella criteria were tabulated and combined into four variant additive models. The clarity of the model inputs and scores, and ease of interpretation of the results facilitate practical planning and site design applications, and also allow for easy transferability to other study areas.