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"ABSTRAKUpaya untuk penggunaan ekonomis bahan bakar mobil tidak hanya melaluipengaplikasian teknologi modem pada mobil tetapi juga dengan cara eco-driving.Eco-driving identik dengan gaya berkendara yang hemat biaya juga ramahlingkungan. Penelitian terapan ini bertujuan untuk meningkatkan intensi parapengemudi Taxi Blue Bird dalam berkendara dengan menggunakan konsep ecodrivingjuga membentuk perilaku berkendara yang hemat biaya serta ramahlingkungan. Baseline study dan pengukuran dilakukan dengan menggunakanTheory Planned Behaviour. Hasil pre-test terhadap 48 orang pengemudimenunjukkan bahwa prediktor yang paling signifikan dalam mempengaruhiintensi adalah norma subyektif dengan p**=0.006. Sosialisasi program ecodrivingsebagai intervensi yang dilakukan terhadap pengemudi Taxi Blue Birddilakukan selama 1 minggu melalui metode booklet, FGD informal, pemberiancontoh/teladan dan juga ID card. Hasil post-test terhadap 18 orang pengemudimenunjukkan teijadinya perubahan intensi rata-rata sebesar 10.81% denganp**=0.003. Begitu pula dengan prediktor lain yang mempengaruhi intensi jugaterjadi perubahan walaupun tidak signifikan, yaitu sebesar 25,25% untuk normasubyektif, 14,46% untuk sikap dan 6,28% untuk pbc. Proses difusi inovasi danpartisipasi aktif berperan dalam proses meningkatkan intensi hanya saja perilakuyang diukur melalui rasio bahan bakar menunjukkan penurunan angka rata-ratasebesar 5.14% padahal seharusnya penerapan 10 langkah emas eco-driving bisamengurangi pemakaian bahan bakar sejumlah 5-10% (GE,2008).

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ABSTRACTAn effort to improve the fuel economy of cars is not only by an applicationmodem technology of cars but also using eco-driving. Eco-driving is similar witheconomic and environment friendly driving behaviour. The objective of thisapplied research is to increase the Blue Bird Taxi drivers’ intention to drive witheco-driving concept and also to form economic and environment friendly drivingbehaviour. Theory of Planned Behaviour was used for baseline study and themeasurement. The results of pre-test with 48 drivers’ showed that subjective normwas significant predictor to affected intention with p**=0.006. Eco-drivingsocialisation program as a method of intervention to Blue Bird Taxi drivers’ wasdone for 1 week used booklet, informal FGD, gave a model/example and alsoused ID card. The results of post-test with 18 drivers’ showed that the intentionwas increased by 10.81% with p**=0.003. The other predictors to affectedintention were also improved event not significant, that were 25.25% forsubjective norm, 14.46% for attitude and 6.28% for pbc. Diffusion of innovationand active participation had a role in process to improved intention but thebehaviour that measured by fuel ratio was decreased by 5.14% whereas anapplication of 10 golden ways of eco-driving should be reduce fuel consumptionby 5-10% (GE,2008)."

"This book aims at showing how big data sources and data analytics can play an important role in sustainable mobility. It is especially intended to provide academicians, researchers, practitioners and decision makers with a snapshot of methods that can be effectively used to improve urban mobility. The different chapters, which report on contributions presented at the 4th Conference on Sustainable Urban Mobility, held on May 24-25, 2018, in Skiathos Island, Greece, cover different thematic areas, such as social networks and traveler behavior, applications of big data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions and environmental impacts, public transport and demand responsive systems, intermodal interchanges, smart city logistics systems, data security and associated legal aspects. They show in particular how to apply big data in improving urban mobility, discuss important challenges in developing and implementing analytics methods and provide the reader with an up-to-date review of the most representative research on data management techniques for enabling sustainable urban mobility "