The primary objective of this project is to Analyze the popularity of different EV types (e.g., BEVs, PHEVs) to tailor marketing and product strategies.
This dataset shows the Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) that are currently registered through Washington State Department of Licensing (DOL). The Data was downloaded in csv format, click here to download the dataset.
These packages are necessary for the SQL queries to run on R Markdown
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(DBI)
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0 ✔ readr 2.1.4
## ✔ ggplot2 3.4.3 ✔ stringr 1.5.0
## ✔ lubridate 1.9.2 ✔ tibble 3.2.1
## ✔ purrr 1.0.2 ✔ tidyr 1.3.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
library(bigrquery)
bq_auth(path = "C:\\Users\\ARTHUR\\OneDrive\\Documents\\my_service_account_key.json")
Establish a connection between the R Markdown document and BigQuery.
con <- dbConnect(
bigrquery::bigquery(),
project = "sharp-messenger-396703"
)
SELECT *
FROM `sharp-messenger-396703.washington_electric_car.Electric_Vehicles`
LIMIT 10
| VIN_1_10 | County | City | State | Postal_Code | Model_Year | Make | Model | Electric_Vehicle_Type | Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility | Electric_Range | Base_MSRP | Legislative_District | DOL_Vehicle_ID | Vehicle_Location | Electric_Utility | _2020_Census_Tract |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3FA6P0PU4D | Spokane | Spokane | WA | 99207 | 2013 | FORD | FUSION | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 19 | 0 | 3 | 175243848 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| 3FA6P0SU2E | Spokane | Spokane | WA | 99207 | 2014 | FORD | FUSION | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 19 | 0 | 3 | 196204053 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| 1C4JJXR60N | Spokane | Spokane | WA | 99207 | 2022 | JEEP | WRANGLER | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 22 | 0 | 3 | 204662489 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| JTDKARFP1H | Spokane | Spokane | WA | 99207 | 2017 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 3 | 181736264 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| JTDKN3DP5F | Spokane | Spokane | WA | 99207 | 2015 | TOYOTA | PRIUS PLUG-IN | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 6 | 0 | 3 | 257412284 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| JTDKARFPXJ | Lewis | Chehalis | WA | 98532 | 2018 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 20 | 474803262 | POINT (-122.96692 46.66113) | PUGET SOUND ENERGY INC||CITY OF TACOMA - (WA) | NA |
| JTDKARFPXJ | Lewis | Chehalis | WA | 98532 | 2018 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 20 | 147852729 | POINT (-122.96692 46.66113) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
| 5LMTJ5DZ3P | Lewis | Onalaska | WA | 98570 | 2023 | LINCOLN | CORSAIR | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 28 | 0 | 20 | 251422783 | POINT (-122.71921 46.577) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
| JTDKARFP9J | Lewis | Onalaska | WA | 98570 | 2018 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 20 | 178742357 | POINT (-122.71921 46.577) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
| 3FA6P0PUXG | Lewis | Chehalis | WA | 98532 | 2016 | FORD | FUSION | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 19 | 0 | 20 | 256912239 | POINT (-122.96692 46.66113) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
Because of BigQuery restrictions to manipulate table for sandbox users, I created another table and also cleaned the data in the process of creating the new table of my analysis. I filtered the dataset to ensure that the analysis is based on relevant, consistent, and accurate data. Key steps in data cleaning include::
SELECT *
FROM `sharp-messenger-396703.washington_electric_car.Electric_Cars`
LIMIT 10
| VIN_1_10 | County | City | State | Postal_Code | Model_Year | Make | Model | Electric_Vehicle_Type | Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility | Electric_Range | Base_MSRP | Legislative_District | DOL_Vehicle_ID | Vehicle_Location | Electric_Utility | _2020_Census_Tract |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 3FA6P0PU4D | Spokane | Spokane | WA | 99207 | 2013 | FORD | FUSION | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 19 | 0 | 3 | 175243848 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| 1C4JJXR60N | Spokane | Spokane | WA | 99207 | 2022 | JEEP | WRANGLER | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 22 | 0 | 3 | 204662489 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| JTDKN3DP5F | Spokane | Spokane | WA | 99207 | 2015 | TOYOTA | PRIUS PLUG-IN | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 6 | 0 | 3 | 257412284 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| JTDKARFP1H | Spokane | Spokane | WA | 99207 | 2017 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 3 | 181736264 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| 3FA6P0SU2E | Spokane | Spokane | WA | 99207 | 2014 | FORD | FUSION | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 19 | 0 | 3 | 196204053 | POINT (-117.39787 47.67936) | MODERN ELECTRIC WATER COMPANY | NA |
| JTDKARFP9J | Lewis | Onalaska | WA | 98570 | 2018 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 20 | 178742357 | POINT (-122.71921 46.577) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
| JTDKARFPXJ | Lewis | Chehalis | WA | 98532 | 2018 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 20 | 147852729 | POINT (-122.96692 46.66113) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
| 1C4JJXR65M | Lewis | Onalaska | WA | 98570 | 2021 | JEEP | WRANGLER | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 21 | 0 | 20 | 214771882 | POINT (-122.71921 46.577) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
| 5LMTJ5DZ3P | Lewis | Onalaska | WA | 98570 | 2023 | LINCOLN | CORSAIR | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 28 | 0 | 20 | 251422783 | POINT (-122.71921 46.577) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
| JTDKARFP1J | Lewis | Ethel | WA | 98542 | 2018 | TOYOTA | PRIUS PRIME | Plug-in Hybrid Electric Vehicle (PHEV) | Not eligible due to low battery range | 25 | 0 | 20 | 268398518 | POINT (-122.71614 46.5308781) | BONNEVILLE POWER ADMINISTRATION||CITY OF TACOMA - (WA)||PUD NO 1 OF LEWIS COUNTY | NA |
SELECT
COUNT(VIN__1_10_) AS Total_Vehicle,
COUNT(DISTINCT Electric_Utility) AS Charging_Station
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
| Total_Vehicle | Charging_Station |
|---|---|
| 153491 | 75 |
This analysis revealed that there 153491 electric vehicles and 75 charging stations in Washington
SELECT
Electric_Vehicle_Type,
COUNT(VIN__1_10_) AS Total_Electric_Cars
FROM
sharp-messenger-396703.washington_electric_car.Electric_Cars
GROUP BY
Electric_Vehicle_Type
| Electric_Vehicle_Type | Total_Electric_Cars |
|---|---|
| Plug-in Hybrid Electric Vehicle (PHEV) | 34315 |
| Battery Electric Vehicle (BEV) | 119176 |
The two types are: Plug-in Hybrid Electric Vehicle (PHEV) and Battery Electric Vehicle (BEV). It occurred that consumer prefer Battery Electric Vehicle (119176) over Plug-in Hybrid Electric Vehicle (34315).
SELECT
Electric_Vehicle_Type,
SUM(CASE WHEN Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility = 'Clean Alternative Fuel Vehicle Eligible' THEN 1 ELSE 0 END) AS Total_Eligible_Cars,
SUM(CASE WHEN Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility = 'Not eligible due to low battery range' THEN 1 ELSE 0 END) AS Total_Non_Eligible_Cars,
SUM(CASE WHEN Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility = 'Eligibility unknown as battery range has not been researched' THEN 1 ELSE 0 END) AS Total_Eligibility_Unknown
FROM
sharp-messenger-396703.washington_electric_car.Electric_Cars
GROUP BY
Electric_Vehicle_Type
| Electric_Vehicle_Type | Total_Eligible_Cars | Total_Non_Eligible_Cars | Total_Eligibility_Unknown |
|---|---|---|---|
| Plug-in Hybrid Electric Vehicle (PHEV) | 16302 | 18013 | 0 |
| Battery Electric Vehicle (BEV) | 46427 | 9 | 72740 |
The Battery Electric Vehicle (46427) appears to have a higher number of vehicles eligible to use fuel as an alternative, while Plug-in Hybrid Electric Vehicle (16302) are eligible to use fuel as an alternative. This is one of the reason why consumers preferred Battery Electric Vehicle over Plug-in Hybrid Electric Vehicle
SELECT
COUNT(DISTINCT Make) AS Total_Vehicle_Makers,
COUNT(DISTINCT Model) AS Total_Vehicle_Models
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
| Total_Vehicle_Makers | Total_Vehicle_Models |
|---|---|
| 37 | 127 |
There are 37 Electric Vehicle Makers and 127 Models in washington, which leaves the consumers with a wide range of option to choose.
SELECT
Electric_Vehicle_Type,
COUNT(DISTINCT Make) AS Total_Vehicle_Makers,
COUNT(DISTINCT Model) AS Total_Vehicle_Models
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
GROUP BY
Electric_Vehicle_Type
| Electric_Vehicle_Type | Total_Vehicle_Makers | Total_Vehicle_Models |
|---|---|---|
| Plug-in Hybrid Electric Vehicle (PHEV) | 25 | 62 |
| Battery Electric Vehicle (BEV) | 27 | 68 |
I discovered that out of 37 Electric Vehicle Makers in Washington, 27 Electric Vehicle Makers make only Battery Electric Vehicle with 68 Models, while 25 Electric Vehicle Makers make only Plug-in Hybrid Electric Vehicle with 60 Models. The Makers of Electric Vehicles seems to prefer producing Battery Electric Vehicle over Plug-in Hybrid Electric Vehicle because of consumer preferences which is Battery Electric Vehicle due to most of them being eligible to use fuel as an alternative.
Further analysis showed some Make that produce both Battery Electric Vehicle and Plug-in Hybrid Electric Vehicle and the number of each vehicle that they produce.
SELECT
Make,
COUNT(DISTINCT CASE WHEN Electric_Vehicle_Type = "Battery Electric Vehicle (BEV)" THEN Model ELSE NULL END) AS BEV_Models,
COUNT(DISTINCT CASE WHEN Electric_Vehicle_Type = "Plug-in Hybrid Electric Vehicle (PHEV)" THEN Model ELSE NULL END) AS PHEV_Models
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
WHERE
Electric_Vehicle_Type IN ("Battery Electric Vehicle (BEV)", "Plug-in Hybrid Electric Vehicle (PHEV)")
GROUP BY
Make
HAVING
BEV_Models > 0
AND PHEV_Models > 0
| Make | BEV_Models | PHEV_Models |
|---|---|---|
| FORD | 5 | 3 |
| TOYOTA | 2 | 4 |
| MITSUBISHI | 1 | 1 |
| BMW | 4 | 9 |
| AUDI | 6 | 5 |
| MERCEDES-BENZ | 6 | 4 |
| KIA | 4 | 4 |
| HYUNDAI | 5 | 4 |
| VOLVO | 2 | 5 |
| SUBARU | 1 | 1 |
SELECT
COUNT(DISTINCT County) AS Total_Counties,
COUNT(DISTINCT City) AS Total_Cities
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
| Total_Counties | Total_Cities |
|---|---|
| 40 | 462 |
This analysis showed that there are 40 counties and 462 cities in Washington.
SELECT
Electric_Vehicle_Type,
COUNT(DISTINCT County) AS Total_EV_County,
COUNT(DISTINCT City) AS Total_EV_City
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
GROUP BY
Electric_Vehicle_Type
ORDER BY
Total_EV_County DESC
| Electric_Vehicle_Type | Total_EV_County | Total_EV_City |
|---|---|---|
| Battery Electric Vehicle (BEV) | 39 | 439 |
| Plug-in Hybrid Electric Vehicle (PHEV) | 38 | 398 |
The resulted showed that out of 40 Counties and 462 Cities in Washington, Battery Electric Vehicles are available in 39 counties and 439 cities, while Plug-in Hybrid Electric Vehicles are available in 38 counties and 398 cities. Further analysis will show the counties with only one Electric Vehicle
WITH CountyEVTypes AS (
SELECT
County,
ARRAY_AGG(DISTINCT Electric_Vehicle_Type) AS EVTypes
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
GROUP BY
County
)
SELECT
County,
CASE
WHEN ARRAY_LENGTH(EVTypes) = 2 THEN EVTypes
ELSE [EVTypes[OFFSET(0)]]
END AS Electric_Vehicle_Types
FROM CountyEVTypes
| County | Electric_Vehicle_Types |
|---|---|
| Spokane | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Lewis | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Clark | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| King | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Grant | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Pierce | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Kitsap | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Benton | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Cowlitz | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
| Grays Harbor | Plug-in Hybrid Electric Vehicle (PHEV), Battery Electric Vehicle (BEV) |
This analysis returned the electric vehicles that are available in each county. I realized there are 3 counties that has only one type of Electric Vehicles: Columbia and Anchorage have only Battery Electric Vehicles, while county like Garfield has only Plug-in Hybrid Electric Vehicle.
WITH CountyEVTypes AS (
SELECT
County,
ARRAY_AGG(DISTINCT Electric_Vehicle_Type) AS EVTypes
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
GROUP BY
County
)
SELECT
County,
CASE
WHEN ARRAY_LENGTH(EVTypes) = 2 THEN EVTypes
ELSE [EVTypes[OFFSET(0)]]
END AS Electric_Vehicle_Types
FROM CountyEVTypes
WHERE
ARRAY_LENGTH(EVTypes) = 1
| County | Electric_Vehicle_Types |
|---|---|
| Garfield | Plug-in Hybrid Electric Vehicle (PHEV) |
| Columbia | Battery Electric Vehicle (BEV) |
| Anchorage | Battery Electric Vehicle (BEV) |
SELECT
County,
Electric_Vehicle_Type,
COUNT(*) AS Electric_Vehicle_Type_Count
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
GROUP BY
County, Electric_Vehicle_Type
ORDER BY
Electric_Vehicle_Type_Count DESC
| County | Electric_Vehicle_Type | Electric_Vehicle_Type_Count |
|---|---|---|
| King | Battery Electric Vehicle (BEV) | 64856 |
| King | Plug-in Hybrid Electric Vehicle (PHEV) | 15781 |
| Snohomish | Battery Electric Vehicle (BEV) | 14466 |
| Pierce | Battery Electric Vehicle (BEV) | 8819 |
| Clark | Battery Electric Vehicle (BEV) | 6589 |
| Thurston | Battery Electric Vehicle (BEV) | 4023 |
| Kitsap | Battery Electric Vehicle (BEV) | 3705 |
| Snohomish | Plug-in Hybrid Electric Vehicle (PHEV) | 3261 |
| Pierce | Plug-in Hybrid Electric Vehicle (PHEV) | 2985 |
| Whatcom | Battery Electric Vehicle (BEV) | 2790 |
It appeared that the county named King has the highest number of electric vehicles in Washington followed by Snohomish and Pierce
WITH CountyChargingCounts AS (
SELECT
County,
COUNT(DISTINCT Electric_Utility) AS Total_Charging_Station
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
GROUP BY
County
)
SELECT
County,
Total_Charging_Station
FROM CountyChargingCounts
ORDER BY
Total_Charging_Station DESC
| County | Total_Charging_Station |
|---|---|
| Pierce | 13 |
| King | 8 |
| Spokane | 7 |
| Stevens | 5 |
| Whatcom | 4 |
| Jefferson | 4 |
| Franklin | 4 |
| Okanogan | 4 |
| Lewis | 3 |
| Clark | 3 |
This analysis showed that the county with the highest charging station is Pierce with 13 being the total number of charging station there, Despite having 8819 BEVs and 2985 PHEVs . It was followed by county named King which has charging stations 8, despite having 64856 BEVs and 15781 PHEVs. This result showed that lack of charging station is among the reason for the preferences of Battery Electric Vehicles over Plug-in Hybrid Electric Vehicle
SELECT
Electric_Vehicle_Type,
SUM(CASE WHEN Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility = "Clean Alternative Fuel Vehicle Eligible" THEN Electric_Range ELSE 0 END) AS Electric_Range_Sum,
SUM(CASE WHEN Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility = "'Eligibility unknown as battery range has not been researched'" THEN Electric_Range ELSE 0 END) AS Unknown_Range_Sum,
SUM(CASE WHEN Clean_Alternative_Fuel_Vehicle__CAFV__Eligibility = "Not eligible due to low battery range" THEN Electric_Range ELSE 0 END) AS Not_Eligible_Range_Sum
FROM
`sharp-messenger-396703.washington_electric_car.Electric_Cars`
GROUP BY
Electric_Vehicle_Type
| Electric_Vehicle_Type | Electric_Range_Sum | Unknown_Range_Sum | Not_Eligible_Range_Sum |
|---|---|---|---|
| Plug-in Hybrid Electric Vehicle (PHEV) | 694962 | 0 | 357917 |
| Battery Electric Vehicle (BEV) | 9033673 | 0 | 261 |
It was observed that the sum of range per charge of the Battery Electric Vehicle (9033673) was higher than that of Plug-in Hybrid Electric Vehicle (694962) which are eligible to use fuel as an alternative, while the range of those that are not eligible are 261 and 357917 for Battery Electric Vehicle and Plug-in Hybrid Electric Vehicle respectively. This further shows that consumers also preferred the Battery Electric Vehicles due to their long range per charge too.
Based on the analysis of electric vehicles in Washington, the following recommendations can be made to tailor marketing and product strategies:
Promote Charging Infrastructure: Given the preference for Battery Electric Vehicles (BEVs) over Plug-in Hybrid Electric Vehicles (PHEVs), it’s crucial to invest in and promote the expansion of charging infrastructure. Providing more charging stations can encourage PHEV adoption and alleviate range anxiety.
Educate Consumers: Consumer preferences are influenced by factors such as eligibility for alternative fuels. Manufacturers and policymakers should educate consumers about the benefits of PHEVs and their eligibility for alternative fuels, as this can make PHEVs more attractive.
Diversify Electric Vehicle Models: With a wide variety of electric vehicle makers and models available, manufacturers should continue to diversify their offerings. Offering a broad range of options can cater to different consumer needs and preferences.
Analyze Charging Station Distribution: Analyze the distribution of charging stations in counties with a high number of electric vehicles, such as Pierce and King. Consider expanding charging infrastructure in these counties to further promote electric vehicle adoption.
Monitor Electric Range Improvements: Continue monitoring and improving the electric range of electric vehicles, especially for PHEVs. Longer electric ranges can make PHEVs more competitive and appealing to consumers.
Regional Marketing: Tailor marketing strategies to specific regions in Washington based on the popularity of BEVs and PHEVs. Highlight the advantages of each type of electric vehicle to cater to regional preferences.
Collaboration with Utility Companies: Collaborate with utility companies to enhance the charging infrastructure. Promote partnerships that make charging more accessible and affordable.
County-Level Targeting: For marketing campaigns, consider targeting counties with specific preferences. For example, target Pierce County with PHEV promotions to leverage the existing charging infrastructure.
Incentives and Rebates: Work with policymakers to provide incentives and rebates that encourage PHEV adoption, such as reduced registration fees, tax credits, or other financial incentives.
Research and Development: Invest in research and development to enhance the electric range of PHEVs. Improving the range can bridge the gap between PHEVs and BEVs in consumer preferences.
These recommendations aim to capitalize on consumer preferences while addressing the factors that influence the popularity of different electric vehicle types. Tailoring marketing and product strategies based on these insights can drive electric vehicle adoption and support a sustainable future for transportation in Washington.