01720nas a2200253   4500000000100000000000100001008004100002260001200043653002800055653002200083653002400105653001700129653001600146100001900162700001800181700003900199700001900238245008300257856007900340300001000419490000600429520101700435022001401452       2023                            d  c09/202310aArtificial Intelligence10aDemand-Responsive10aIntelligent Systems10aOptimization10aRural Areas1 aPasqual Martí1 aJaume Jordán1 aMaría Angélica González Arrieta1 aVicente Julian00aA Survey on Demand-Responsive Transportation for Rural and Interurban Mobility  uhttps://www.ijimai.org/journal/sites/default/files/2023-08/ijimai8_3_4.pdf  a43-540 v83 aRural areas have been marginalized when it comes to flexible, quality transportation research. This review article brings together papers that discuss, analyze, model, or experiment with demand-responsive transportation systems applied to rural settlements and interurban transportation, discussing their general feasibility as well as the most successful configurations. For that, demand-responsive transportation is characterized and the techniques used for modeling and optimization are described. Then, a classification of the relevant publications is presented, splitting the contributions into analytical and experimental works. The results of the classification lead to a discussion that states open issues within the topic: replacement of public transportation with demandresponsive solutions, disconnection between theoretical and experimental works, user-centered design and its impact on adoption rate, and a lack of innovation regarding artificial intelligence implementation on the proposed systems.  a1989-1660