We provide critical insight to help you manage risk, improve sales and – ultimately – increase profits. Our vast range of data is at your disposal. Uncover information on thousands of vehicles for a richer, more comprehensive understanding for your business.Adaptable and bespoke As well as our...
In response, we match a unique dataset on media attention with electric vehicle (EV) sales data in China, employing a two-way fixed effects model and an instrumental variable (IV) method to estimate the impact of media attention on EV adoption. Our research found that media attention ...
Additionally, the Spend dataset provides insights into customer income distribution. Specifically, each customer in the dataset is classified into an income class using a proprietary model based on his or her transactions and spending data39. We utilize this data to assess the impact of EVCS ...
“On the road, multiple factors are in play, and the dataset coming out of any on-road interactions is a reflection of all these environmental factors happening together; whereas, to discover all of them independent of each other, we simply don’t have the data. This presents a big ...
1. After applying various data processing techniques, we refine the dataset to encompass 1,362 charging stations with 17,532 public charging piles, making them well-suited for charging demand prediction. Specifically, it provides three charging data (i.e., occupancy, duration, and volume), four...
Not ours. For starters, we offer a huge dataset – the biggest in the UK by far. You’ll be empowered to make better decisions when it comes to planning, purchasing and disposals, and gain the edge when dealing directly with customers. Increase your sales with smarter insight. Outstanding...
This dataset encompasses information on the EV growth trajectory under different scenarios and the corresponding trajectory for the addition of battery capacity. Based on this data, the scenarios of annual battery capacity addition for EV use in India are finalized. The data obtained from various ...
The driver behaviour groups are identified by clustering drivers from a large dataset of real charging sessions52; each cluster represented a unique type of driver with a pattern of charging across different segments, charging at different times of day and charging with different frequencies. We desi...
Since each respondent were assigned to two experimental scenarios, the dataset was transformed into a longer format. 4. Results 4.1. Descriptive statistics The respondents of the questionnaire were largely male (90.5 %) and mostly above the age of 46 (81.8 %) (Table 2). The profile of the ...
sales@datacluster.ai This dataset is an extremely challenging set of over 50,000+ original Vehicle images captured and crowdsourced from over 1000+ urban and rural areas, where each image ismanually reviewed and verifiedby computer vision professionals at Datacluster Labs. Dataset Features Dataset s...