Abstract

Using a dynamic micro-simulation Computable General Equilibrium model, this research shows that further liberalisation of air services in Kenya is likely to lead to substantial growth in tourist arrivals. Results indicate that tourism growth principally trickles down to the poor through increases in labour demand and in income. Tourism expansion also leads to a slight redistribution of income between rural and urban regions.

Abstract

Research on demand-responsive collective transportation facilities that can act as feeder services to time-table based public transportation (PT) requires detailed and accurate information about the PT infrastructure, including the attachment of bus stops to the appropriate network link. Due to the size of the infrastructure, the data integration shall be automated. This paper describes the effort to prepare data from publicly available OpenStreetMap (OSM) and General Transit Feed Specification (GTFS) sources. Procedures are proposed (i) to build a network derived from OSM suitable for simulations in transportation, (ii) to extract bus stops from GTFS and remove anomalies and (iii) to find candidate network links to attach them. The research reported was partially funded by the IWT 135026 Smart-PT: Smart Adaptive Public Transport (ERANET Transport III Flagship Call 2013 “Future Traveling”).