THE LONDON CONGESTION CHARGE AND PROPERTY PRICES: AN EVALUATION OF THE IMPACT ON PROPERTY PRICES INSIDE AND OUTSIDE THE ZONE

Congestion charging in London was introduced in February 2003 to reduce traffic levels in the centre of London. Postcode sector level property prices for sectors both inside and outside the zone are investigated under the premise that the benefits of transport innovation can be captured by property prices. If housing markets are efficient, residential property prices should capture all the benefits and costs to commuters that a location offers. The aim of this investigation is to firstly compare property prices inside and outside the congestion charging zone, and secondly to measure the sensitivity of house prices to distance from the zone boundary both inside and outside the zone. The main analysis is based on the quasi-experimental differences-in-differences approach. It is found that the gap between property price inside and outside the zone has actually reduced as a result of congestion charging. Also, after the implementation of the congestion charge, the sensitivity of house prices with respect to distance from the boundary has fallen for sectors inside the zone relative to sectors outside the zone.Congestion Charging; Property Prices; Difference in differences; Transport Innovations

THE LONDON CONGESTION CHARGE AND PROPERTY PRICES: AN EVALUATION OF THE IMPACT ON PROPERTY PRICES INSIDE AND OUTSIDE THE ZONE

Congestion charging in London was introduced in February 2003 to reduce traffic levels in the centre of London. Postcode sector level property prices for sectors both inside and outside the zone are investigated under the premise that the benefits of transport innovation can be captured by property prices. If housing markets are efficient, residential property prices should capture all the benefits and costs to commuters that a location offers. The aim of this investigation is to firstly compare property prices inside and outside the congestion charging zone, and secondly to measure the sensitivity of house prices to distance from the zone boundary both inside and outside the zone. The main analysis is based on the quasi-experimental differences-in-differences approach. It is found that the gap between property price inside and outside the zone has actually reduced as a result of congestion charging. Also, after the implementation of the congestion charge, the sensitivity of house prices with respect to distance from the boundary has fallen for sectors inside the zone relative to sectors outside the zone

THE LONDON CONGESTION CHARGE AND PROPERTY PRICES: AN EVALUATION OF THE IMPACT ON PROPERTY PRICES INSIDE AND OUTSIDE THE ZONE

Congestion charging in London was introduced in February 2003 to reduce traffic levels in the centre of London. Postcode sector level property prices for sectors both inside and outside the zone are investigated under the premise that the benefits of transport innovation can be captured by property prices. If housing markets are efficient, residential property prices should capture all the benefits and costs to commuters that a location offers. The aim of this investigation is to firstly compare property prices inside and outside the congestion charging zone, and secondly to measure the sensitivity of house prices to distance from the zone boundary both inside and outside the zone. The main analysis is based on the quasi-experimental differences-in-differences approach. It is found that the gap between property price inside and outside the zone has actually reduced as a result of congestion charging. Also, after the implementation of the congestion charge, the sensitivity of house prices with respect to distance from the boundary has fallen for sectors inside the zone relative to sectors outside the zone

Ontology-based Fuzzy Markup Language Agent for Student and Robot Co-Learning

An intelligent robot agent based on domain ontology, machine learning mechanism, and Fuzzy Markup Language (FML) for students and robot co-learning is presented in this paper. The machine-human co-learning model is established to help various students learn the mathematical concepts based on their learning ability and performance. Meanwhile, the robot acts as a teacher's assistant to co-learn with children in the class. The FML-based knowledge base and rule base are embedded in the robot so that the teachers can get feedback from the robot on whether students make progress or not. Next, we inferred students' learning performance based on learning content's difficulty and students' ability, concentration level, as well as teamwork sprit in the class. Experimental results show that learning with the robot is helpful for disadvantaged and below-basic children. Moreover, the accuracy of the intelligent FML-based agent for student learning is increased after machine learning mechanism.Comment: This paper is submitted to IEEE WCCI 2018 Conference for revie