Owning or leasing an electric vehicle (EV) is becoming more common in developed countries. While home charging is the most common choice, workplace charging and its provision by employers has become an important option. For many, it is essential to cope with the limited range of most EVs. Home and work are the two places where vehicles are parked for long periods and so are prime candidates as charging locations. However, workplace charging is often a limited resource. This paper reports on an empirical study of workplace charging at a UK public sector employer. It explores the use of workplace charging (WPC) via spatiotemporal analysis of employees and visitors' charging events over a 3-month period. It provides insights into weekly patterns and daily mechanisms of using shared facilities in a WPC environment. We identify insights that are relevant in the design of workplace-charging infrastructure, identify the design needs, emerging requirements, and highlight potential areas for sociotechnical-interventions.

Electric vehicles are an increasingly attractive option for households to reduce carbon emissions, especially when they are powered by renewable energy. In this paper we report the results of an 18-month field trial investigating the desirability and feasibility of powering electric vehicles (EVs) with domestic solar electricity. Based on extensive collection of data from 7 households including over 75,000 miles of daily EV use, home electricity consumption and generation, and in-depth interviews with householders we develop a detailed understanding of what drives EV decisions in households, quantify to what extent our participating households currently power their EVs with solar electricity, and investigate how feasible the vision of "self-sustaining electric mobility" is. We use this understanding to draw implications for future research into supporting emerging practices of EV drivers.

This paper discusses devising a methodology for developing a heuristic approach for planning authorities and policy makers to investigate the integration of electric mobility charging infrastructure in metropolitan cities, particularly in the UK. This study is a part of a PhD research project; it presents a part of its overall methodology, which will be employed in a smaller-scale pilot project to obtain initial findings. An agent-based modelling and simulation (ABMS) technique is proposed to represent the phenomenon and analyze it. This study covers the development of the model, emphasizing how it would reflect Electric Vehicles (EVs) current users' behaviours and their charging habits. The aim of the PhD research is to examine whether the current electricmobility charging infrastructure can support current users and whether it can accommodate future potential users or if the planning authorities and policy makers need to forecast and plan for more charging points. This in return shall potentially provide a better accessibility to e-mobility and support its market, partly by better informed location decision making.

Designing an integrated charging network to support alternative means of transport is an intrinsic matter; it contributes to users' satisfaction and market penetration. It has given attention over the last three years; a few studies were undertaken addressing the location of the charging station problem. On the other hand, automotive manufacturers are working on extending the range to 250 miles or more in the Electric Vehicle (EV) hence reduce the urgent need of public recharging facilities. Another initiative is taken by the UK government to fund domestic charger installation to promote the market [1]. Planners and policy makers have to economically design integrated RFs that can support the demand and secure the way for potential users to join the market. Analysing the behavioural element and the business aspect of the current EV system, will assist in designing future EV users. This article examines and evaluates Newcastle Upon Tyne EV system among three years of operation. The comparison portrays the change and the evolving use of the system by inhabitants and visitors driving EVs. Time series model is developed to map the three years of operation. Forecast model is designed to predict the charging patterns of the real users in the capital of the North East of England, Newcastle. The outcome of this study should assist planning authorities and policy makers in assessing current EV systems and provide design guidelines for future planning.

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