Utilising Location Based Social Media in Travel Survey Methods: bringing Twitter data into the play

摘要: A growing body of literature has been devoted to harnessing the crowdsourcing power social media by extracting knowledge from huge amounts information available online. This paper discusses how data can be used indirectly and with minimal cost extract travel attributes such as trip purpose activity location. As a result, capacity Twitter in complementing other sources transport related household surveys or traffic count is examined. Further, detailed discussion provided on short term travellers, tourists, identified using their pattern analysed. Having appropriate about tourists/visitors -- places they visit, origin movements at destination great importance urban planners. The profile users self-reported geo-location are identify tourists visiting Sydney well also those residents who made outside Sydney. presented analysis enable us understand track tourists' cities for better planning. results this open up avenues demand modellers explore possibility big (in case data) model distance (day-to-day based) long (vacation) trips.