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Movement	Solutions	
Potential	Marketing	Solutions	and	Future	Positioning	
James	Larson	
ABSTRACT	
A	competitive	marketing	strategy	is	critical	in	todayโ€™s	business	environment.	
There	are	several	marketing	channels,	platforms,	and	opportunities	to	use	
said	channels	that	several	area	businesses	are	not	utilizing.	This	report	
details	the	platforms,	market	segments,	and	an	extensive	scope	of	research	
and	data	to	support	potential	new	marketing	practices.
2	 MOVEMENT	SOLUTIONS	
	
1. Introduction	
	
Todayโ€™s	marketing	environment	has	created	several	new	opportunities	for	small	businesses	to	
expand	and	gain	exposure	across	several	channels.	This	report	will	detail	in	brief	the	critical	
segments	and	action	taken	to	gain	value	from	said	segments	with	a	revitalized	social	media,	web	
page,	and	potential	broadcasting	strategyโ€”helping	Movement	Solutions	move	forward.	
	
i. Current	Efforts	and	Local	Competitive	Environment	
	
Over	the	course	of	the	last	two	weeks	I	have	studied	the	current	website	and	social	media	
platforms	currently	used	by	your	team	and	those	of	the	local	market.	The	following	diagram	
depicts	the	current	environment	for	auto	sales	and	RV/boat	sales/rental	firms	segmented	
between	the	two	major	markets	in	the	area	(general,	i.e.	car/auto	buyers/rentals	and	
recreational,	i.e.	RV/boat/outdoor	recreation	buying/rental)	depicted	below:	
	
	
	
	
	
	
As	depicted	in	the	diagram	there	is	some	competition	that	may	pose	potential	threats;	however	
this	will	be	discussed	later	in	this	report.
MOVEMENT	SOLUTIONS	 3	
	
ii. Current	Social	Media	and	Web	Presence	
	
Todayโ€™s	marketing	mix	is	not	complete	and	is	heavily	reliant	on	creating	a	draw	through	a	variety	
of	social	media	platforms.	A	study	by	Momany	and	Alshboul	surveyed	managers	of	several	small	
bed	and	breakfast	operationsโ€”a	very	related	market	with	heavy	seasonality	and	dependence	on	
the	tourism	industry	and	word	of	mouth	marketing.	When	a	solid	social	media	branding	and	
marketing	approach	was	used	it	had	delivered	great	results;	soon	these	small	businesses	started	
receiving	a	statistically	significant	increase	in	brand	recognition,	online	sales,	and	public	relations	
through	client	social	media	posts	and	reviews.		
	
I	have	researched	our	presence	across	several	social	media	platforms	in	contrast	with	our	
competitive	environment	and	have	drawn	the	following	conclusions:	
	
โ€ข Facebook	
I	will	use	an	example	and	contrast	it	with	two	potential	local	competitorsโ€”Lake	Time	
Boat	Club	and	Billion	Ford	of	Clear	Lake.	At	a	glance	here	are	some	takeaways:	
	
o The	logo	and	brand	is	clear	and	present	on	the	Lake	Time	Boat	Club	and	Billion	
Ford	profile	and	cover	photo	and	not	our	page.	It	would	be	highly	recommended	
to	use	only	the	Movement	Solutions	logo	or	potentially	have	a	rotating	profile	
picture	of	products	available	on	the	lotโ€”this	may	capture	the	interest	of	
prospective	buyers/renters	during	the	peak	rental	season	and	I	will	help	
maintain	this.	
	
o Current	statuses	on	available	products	are	very	long	and	should	be	shortened.	I	
have	noticed	some	inconsistencies	in	statuses	with	some	posts	having	a	
headline/status	while	others	do	not.	I	will	maintain	this	given	the	opportunity	
while	providing	a	โ€œsale	of	the	experienceโ€	through	the	posting.	
	
o I	could	not	find	any	promotions	during	RAGBRAI	2017	when	Clear	Lake	was	on	
the	route.	Though	it	was	explained	in	the	interview	that	there	would	not	be	any	
possible	business	given	Highway	18	was	closed	for	the	route	recognition	of	the	
event		
	
โ€ข Twitter	
	
o There	are	two	Movement	Solutions	Clear	Lake	Twitter	accounts	at	this	time;	one	
(@movementclearlake)	has	been	dormant	for	over	a	year	and	I	would	
recommend	closing	this	as	soon	as	possible.	The	risk	of	data/account	breaches	
by	hacking	groups	(i.e.	Sony	data	breach)	in	recent	events	make	this	clear.	
	
o A	majority	of	tweets	on	the	current	Movement	Solutions	(@movementcl)	page	
redirect	to	the	Facebook	page	and	its	statuses.	I	would	recommend	having	
unique,	short	statuses	for	the	account	occasionally	redirecting	to	the	Movement	
Solutions	Facebook	or	webpage;	there	are	millions	of	users	on	the	platform	
contributing	at	once	and	we	should	catch	the	Twitter	attention	quickly	given	the	
nature	of	the	platform.
4	 MOVEMENT	SOLUTIONS	
	
โ€ข movementclearlake.com	
	
o The	current	domainโ€™s	user	interface	(UI)	should	be	looked	at	in	contrast	to	some	
competitors	in	the	area.	From	the	view	of	a	prospective	user	I	found	it	rather	
difficult	to	find	the	contact	information	I	needed	to	submit	my	resume.		
	
o Browsing	through	the	site	some	aspects	seem	somewhat	dated	and	may	be	a	
turnoff	for	prospective	buyers/renters	particularly	in	a	higher-income,	visiting	
family	and	relatives	(VFR)	segment.	To	ensure	complete	control	of	site	content	
and	layout	I	would	recommend	closing	the	current	domain	and	potentially	use	a	
service	such	as	Wix.com	to	create	a	feature-rich,	modernized,	mobile-friendly	
streamlined	interface	given	information	on	the	current	domain	subscription	fee	
and	a	comparable	rate	through	a	Wix.com	business	account.	
	
o The	โ€œSilent	Salesmanโ€	is	a	good	idea;	however	in	the	context	of	maintaining	
LEAN	practices	and	a	triple-bottom-line	this	may	need	to	be	phased	out	
considering	the	paper	waste	created	from	making	the	Silent	Salesman	packets.	I	
would	instead	recommend	using	a	QR	code	instead	as	depicted	below:	
	
	
	
This	can	provide	a	more	eco-friendly	approach	to	inform	prospective	buyers	and	
renters	on	some	products	on	the	lot.	One	in	six	adults	used	QR	code	scans	and	
QR	scanning	software	in	2014	and	can	provide	a	great	opportunity	to	garner	
traffic	on	several	of	Movement	Solutionsโ€™	social	media	platforms	as	well.	(Smith)	
	
โ€ข Youtube	
	
o There	is	presence	though	there	has	not	been	activity	on	the	page	in	two	years.	
This	may	create	a	legal	liability	given	applicable	bait-and-switch	laws.	I	had	also	
noticed	the	products	presented	on	the	lot	at	the	time	of	the	pageโ€™s	opening	
seem	rather	detached	from	a	prospective	buyer/renterโ€™s	goal	and	should	convey	
selling	an	experience	as	stated	earlier.	To	keep	up	with	recent	developments	on	
the	platform	I	would	consider	doing	the	following:	
	
ยง Creation	of	a	โ€œchannel	trailer,โ€	a	short	video	explaining	our	business,	
introducing	our	team,	and	some	of	the	experiences	from	known	clients	
would	be	very	advantageous.	This	could	be	compiled	through	a	drawing	
from	videos	submitted	by	clients	compiled	into	a	potential	trailer.
MOVEMENT	SOLUTIONS	 5	
	
ยง Video	blogs	(VLOGs)	have	heavily	increased	in	popularity	over	the	last	
two	years.	This	may	provide	a	great	opportunity	for	B2B	networking	
and	branding	efforts	as	well	as	possibly	showcasing	some	of	the	
vehicles	on	the	lot.	Creating	a	โ€œguideโ€	approach	for	prospective	
customers	may	be	a	great	way	to	convey	the	product	and	
events/locations	in	the	area	(i.e.	Clear	Lake	4
th
	of	July,	Surf	Ballroom	
visit	and	discussion	near	the	Buddy	Holly	crash	anniversary,	etc.)	while	
solidifying	Movement	Solutionโ€™s	brand	presence	in	the	area.	(Weiler	
and	Walker	91-92)	
	
โ€ข Instagram,	Pinterest,	Flickr,	Snapchat,	Tumblr,	etc.	
o No/little	presence	at	this	time.		
	
I	will	be	able	to	maintain	and	update	our	presence	on	these	platforms	given	this	amazing	
opportunity.	The	next	section	explains	some	approaches	to	help	the	Movement	Solutions	brand	
and	marketing	messages	on	the	social	media	platforms	mentioned	and	other	marketing	channels.		
	
iii. Product	Dimensions	and	Future	Branding	Opportunities	
	
The	potential	marketing	message	through	our	current	and	prospective	social	media	channels	with	
respect	to	the	variety	of	products	offered	will	take	some	reflection.	A	traditional	approach	of	an	of	
using	a	total	product	dimension/Levitt	ring	diagram	will	help	conceptualize	thisโ€”a	depiction	of	
the	core,	basic,	and	augmented	productโ€”depicted	below:	
	
	
	
At	the	core	of	our	business	there	is	the	differentiation	of	the	outdoor	recreational	goods	and	
vehicles	as	well	as	the	cars	available	for	sale.	For	example,	consider	some	of	the	RVs	on	the	lot:	at	
the	core	it	is	a	recreational	vehicle	though	at	its	basic	level	it	can	be	taken	as	a	mode	of	
transportation,	โ€œhome	away	from	home,โ€	etc.;	at	the	augmented	level	(pitch	via	status/tweet)	this	
can	bring	about	one	of	several	messages:	
	
โ€ข โ€œThe	missing	piece	to	great	summer	memoriesโ€ฆโ€	
โ€ข โ€œThe	start	to	your	outdoor	adventureโ€ฆโ€	
โ€ข โ€œThe	great	first	step	to	experience	the	outdoorsโ€ฆโ€	
	
Through	internal	deliberation,	further	approval,	and	elaboration	these	ideas	we	should	be	able	to	
convey	our	message	across	our	available	and	new	marketing	channels	easily	and	attract	
customers.	
	
Augmented	
Basic	
Core
6	 MOVEMENT	SOLUTIONS	
	
2. 		Prospective	Consumer	Dimensions	and	Related	Research	
	
We	are	hitting	a	particular	niche	with	the	products	we	provide	as	shown	in	the	environmental	
scan	shown	earlier;	we	provide	car	sales	but	also	outdoor	recreational	sales/rentals	as	well.	With	
respect	to	this	it	would	be	crucial	to	consider	the	prospective	clients	in	the	following	Venn	
Diagram:	those	in	the	local	market,	the	professional	market,	and	visitor/tourism	segments	(i.e.	
Tree	Town,	the	early	February	Clear	Lake	area	growth	in	tourism	on	the	anniversary	of	Buddy	
Hollyโ€™s	passing,	those	going	to	the	Tree	Town	Festival	in	Forest	City,	Iowa,	and	the	general	
vacationers	and	the	VFR	segment)	depicted	below:		
	
	
Movement	Solutions	has	several	offerings	that	competitors	in	the	area	do	not;	it	will	be	of	the	
important	to	start	engaging	these	segments	through	the	social	media	channels	stated	earlier	in	
context	of	a	low-	to	no-budget	solution.	The	following	describes	an	analytical	summary	of	the	
outdoor	recreation	market	environment,	key	insights	for	the	potential	renters/buyers	of	our	
products	available.	
	
a) Survey	of	the	Outdoor	Recreation	and	Recreational	Vehicle	
Market	and	Segments	of	Interest	
	
I	initially	contacted	the	Iowa	Department	of	Natural	Resources	for	historical	data	pertaining	
campsite	reservations/capacity	and	possibly	hunting	license	registrations.	Unfortunately	after	
several	attempts	they	have	been	unavailable	for	comment	and	disclosure	of	said	data.	The	
following	points	describe	the	data	and	statistical	process	used	to	make	actionable	suggestions.	
	 	
Local	Market	
Professional	
Visitor/
Tourist
MOVEMENT	SOLUTIONS	 7	
	
i. A	General	Demand	Model	of	Outdoor	Recreation	
	
To	best	gauge	the	outdoor	recreation	market	I	had	compiled	results	using	data	from	the	St.	Louis	
Federal	Reserve	Economic	Database	(FRED),	the	United	States	Energy	Information	Administration	
(EIA),	and	the	United	States	Department	of	Transportation	(DoT)	to	construct	a	demand	model.	
Using	the	statistical	programming	language	R	and	general	econometric	theory	the	model	
constructed	had	taken	into	account	the	real	value	(in	terms	of	2017	dollars)	of	the	log-
transformed	quarterly	total	revenue	of	recreational	vehicle	parks	(lnRVTR),	median	United	States	
household	income	(lnYMed),	quarterly	average	prices	of	gas	(lnPGASUS)	and	diesel	(lnPDIESUS)	
per	gallon,	the	price	of	domestic	flight	tickets	(lnPTIX),	and	seasonal	dummy	variables	(Q2,	Q3,	Q4)	
with	the	first	quarter	acting	as	the	base	level	for	the	time	Q2	2012-Q1	2016.		To	ensure	the	best	
linear	unbiased	estimator	for	this	analysis	some	variables	contributing	to	the	scatter	in	the	data	
were	omitted;	the	model	and	its	summary	are	shown	in	the	section	labeled	โ€œR	Code	and	Outputโ€	
in	this	document.	
	
In	brief	the	final	model	used	the	log	price	of	gas,	log	median	income,	and	the	quarterly	dummy	
variables	to	explain	the	seasonality	and	effect	of	these	variables	on	RV	park	revenues;	the	model	
explains	roughly	93.91%	of	the	error	and	is	statistically	significant	(p<.05)	from	the	data	and	
process	used.	Interestingly	a	1%	increase	in	RV	park	revenue	is	explained	through	a	13.53%	
increase	in	median	incomes;	the	analysis	also	shows	Q2	and	Q3	having	the	highest,	statistically	
significant	seasonal	contributions	to	RV	park	revenues.		
	
From	this	model	it	would	be	recommended	to	be	aggressive	in	future	social	media	campaigns	
during	Q2	(April-July)	and	Q3	(July-October)	in	order	to	capture	value	from	a	potentially	higher-
income	market.	
	
ii. Target	Segments	
	
Building	on	the	prior	analysis	it	can	be	said	the	RV	and	outdoor	recreational	market	has	grown	in	
recent	years.	However	prior	studies	have	shown	similar	if	not	better	results	investigating	
segments	and	potential	applications	of	these	findings	for	future	social	media	campaigns.	
	
It	can	be	easily	said	our	local	market	is	a	โ€œself	drivingโ€	market	due	to	the	long	distance	between	
small	towns	and	key	commercial	and	retail	establishments	in	the	rural	North	Iowa	area	(i.e.	Clear	
Lake,	Mason	City,	etc.).	(Yi,	Day	and	Cai	148-149)	A	much	more	sophisticated	duration	model	with	
respect	to	the	length	of	a	trip	contingent	upon	the	gender,	party	size,	age,	marriage	status,	and	
other	characteristics	of	outdoor	recreational	vacation	participants	in	the	rural	Midwestern	United	
States	was	performed	by	Yi,	Day,	and	Cai;	this	survey	provided	the	following	vital	insights:	
	
o A	major	contribution	to	the	length	of	a	trip	in	this	context	was	ownership	of	an	RV	
o Most	(over	60%)	trip	participants	surveyed	were	between	ages	35-55	
o Ownership	of	other	vehicles	(typically	2-3)	had	contributed	to	the	length	of	a	trip	
o A	majority	of	those	surveyed	were	at	least	high	school	educated	and	married	with	either	
at	least	one	child	(aged	0-5)	or	no	children.	
	
A	quick	survey	of	Nielsen/Claritas	PRIZM	(hereon	referred	to	as	โ€œPRIZMโ€)	shows	these	segments	
are	present	in	the	immediate	Clear	Lake	and	surrounding	area.	For	example	the	Garner,	Iowa,	
area	is	of	particular	interest	due	to	the	โ€œBig	Sky	Familyโ€	segment	(25-45	year	old	married	
households	with	1-2	children	with	upper	middle-class	incomes)	and	the	potential	value	that	can	
be	captured	promoting	the	RVs	for	sale/rent	on	the	lot	through	the	several	media/marketing	
channels	discussed	earlier.
8	 MOVEMENT	SOLUTIONS	
	
b) Insights	from	the	Recreational	Vehicle	Market	
	
With	respect	to	a	prior	quantitative	analysis	I	had	done	using	quarterly	reports	from	Winnebago	
Industries,	Inc.,	has	provided	these	additional	insights	for	products	and	models	similar	to	what	is	
and	may	be	offeredโ€”the	Class	A	Gas,	Class	B	Eurovan	Campers,	and	Class	C	โ€œMinnie	Winniesโ€	in	
particular;	the	fifth	wheel	and	toy	trailer	lines	are	not	considered	due	to	an	insufficient	sample	
(roughly	10	quarters	worth	of	data).	These	gauge	the	amount	of	deliveries	of	the	product	lines	
over	the	the	period	Q2	2003-Q3	2015	in	relation	to	some	of	the	same	metrics	in	the	prior	RV	park	
revenue/demand	model	including	personal	consumption	expenditures	in	recreational	services	and	
recreational	goods	and	vehicles	(lnCRec	and	lnPCED,	respectively)	in	terms	of	2016	dollars;	
average	incomes	(lnYr),	gas	(lnPgas)	and	diesel	(lnPdies)	prices	per	gallon	were	used	for	this	study.	
Deliveries	were	chosen	given	individual	behavior	of	those	in	the	order	backlog	(some	rescind	on	
their	order	agreement	and	the	deliveries	have	had	the	models	delivered	to	a	household	or	
dealership	lot).	The	following	are	some	findings	from	this	study	by	product	line:	
	
o Class	A	(Gas/Diesel)	
There	is	a	statistically	significant	relationship	in	a	percentage	increase	of	Class	A	
deliveries	in	relation	to	lower	incomes	for	both	gas	and	diesel	models	from	the	process	
and	data	used.	Interestingly	both	demand	models	exhibit	a	strong	complimentary	
relationship	with	domestic	airline	ticket	prices	(lnPATix)	and	have	a	strong	positive	
relationship	with	personal	consumption	expenditures	in	recreational	goods/vehiclesโ€”
they	are	in	demand	and	we	have	several	target	demographics	in	the	immediate	area	
(discussed	later)	to	promote	to	if	we	provide	a	similar	model	given	enough	lot	space	or	
potential	future	expansion	
o Class	B	(Eurovan)		
Models	similar	to	the	Class	B	Eurovan	camper	line	may	be	of	greater	interest	to	slightly	
higher	than	average	income	individuals	very	interested	in	outdoor	recreation	given	the	
data	and	process	used.	This	can	be	attributed	to	the	finding	that	every	1%	of	Class	B	
deliveries	is	explained	by	a	roughly	20%	increase	in	personal	consumption	expenditures	
in	recreation	and	a	5%	increase	in	average	incomes	respectively;	however,	models	similar	
to	this	may	not	be	of	interest	to	the	market	as	a	whole	given	a	1%	increase	in	deliveries	
resulting	from	a	roughly	7%	decrease	in	personal	consumption	expenditures	in	durables	
(recreational	vehicles)		
o Class	C		
Assuming	the	1988	Toyota	RV	for	sale	is	very	similar	to	the	Class	C	โ€œMinnie	Winnies,โ€	
these	will	possibly	be	of	interest	higher	income,	spendthrift	individuals	given	the	negative	
effects	of	gas	prices	and	recreational	consumption	spending	on	the	Class	C	demand	
model	
	
All	models	and	summaries	are	given	in	the	โ€œR	Code	and	Outputโ€	section	under	โ€œWinnebago	
Demand	Models.โ€		
	
3. Recommendations,	Creating	Engagement,	and	Conclusions	
	
PRIZMโ€™s	most	recent	income	distribution	and	percent	of	population	by	age	data	in	the	Clear	Lake	
area	(Clear	Lake,	Garner,	Britt,	Forest	City,	etc.)	brings	the	following	insights	and	
recommendations:	
	
o Insight:	
A	majority	of	individuals	in	the	area	are	earning	incomes	of	less	than	$35,000	per	year	
with	a	majority	of	elderly/retired	segments	(55-65+	years	old);	it	may	be	wise	to	
advertise	offerings	in	local	free	publications	(i.e.	shoppers)	and	radio	given	these
MOVEMENT	SOLUTIONS	 9	
	
segments	and	the	drive	market	stated	earlier	(they	have	to	travel	and	will	listen	to	radio	
advertising)	
o Recommendation:	
A	strategy	for	low	cost	(even	free)	radio	advertising	slots	may	be	available:	a	car	
dealership	in	New	Brunswick,	Canada,	had	made	an	agreement	with	local	Top	40	radio	
stations	to	preset	said	stations	on	car	radios	available	on	the	lot	in	return	for	free	radio	
advertising	resulting	in	nearly	$2,500	worth	of	ad	space	for	the	dealership	(Winter)			
	
The	use	of	social	media	will	be	crucial	for	younger,	higher	income,	and	the	visitor/tourist	market.	
A	study	by	Ewert,	Gilbertson,	Luo,	and	Voight	reveals	the	following:	
	
o Insight:	
Prospective	participants	are	mostly	self-motivated	with	self-image,	sensation-seeking,	
and	social	goals;	sea	kayakers	in	the	study	had	lower	sensation	seeking	goals	at	beginner	
experience	levels	while	the	opposite	can	be	said	for	those	with	more	experience	and	
canoeists	had	higher	social	motives	than	all	other	groups	studied.	Females	had	higher	
social	motives	than	males	while	males	had	higher	sensation	seeking	and	self-image	
motives	
o Recommendation:	
The	opening	of	image-based	social	media	accounts	(i.e.	Instagram)	alongside	existing	
platforms	(Twitter,	Youtube	once	revitalized)	will	create	a	great	PR	opportunity;	the	
popularity	of	recent	social	media	challenges	(i.e.	Running	Man	Challenge,	ALS	Ice	Bucket	
Challenge,	etc.)	and	the	development	of	a	campaign	will	create	engagement	for	all	
motive	facets	from	the	study	statedโ€”#SummerMovementChallenge.	This	can	be	
expanded	to	product/discount/coupon	giveaways	given	the	campaignโ€™s	budget.	
	
Maintaining	a	triple-bottom-line	will	also	be	essential	for	our	business	practices	and	may	present	
opportunities	future	PR	campaigns.	A	campaign	for	conservation/sustainability	efforts	will	help	
Movement	Solutions	gain	needed	attentionโ€”ensuring	the	outdoors	is	there	for	future	
generations	to	enjoy	will	solidify	brand	presence	since	businesses	in	the	competitive	environment	
have	not	acted	on	this.		
	
The	transfer	of	this	responsibility	from	the	public	to	the	private	sector	over	time	has	several	
implications	given	this	current	caustic	political	environment	and	general	distrust	in	legislators	and	
government;	this	will	help	increase	awareness	of	these	issues	and	offset	some	potential	damages	
caused	by	eco-tourists.	(Byrd,	Cardenas	and	Greenwood	193-201)	Doing	a	drawing	competition	
such	as	the	#SummerMovementChallenge	will	help	our	brand	recognition	and	will	delegate	the	
bulk	of	the	work	needed	for	these	sustainable	practices	to	interested	prospective	consumers	and	
the	community.	
	
In	conclusion	I	hope	you	have	gained	insight	to	the	current	social	media	and	competitive	
environment	and	use	of	new	marketing	channels;	however	this	will	take	help	from	the	great,	
motivated	team	at	Movement	Solutions.	I	thank	you	for	your	time	interviewing	me	on	December	
5
th
	and	would	be	honored	if	I	was	chosen	for	this	exciting	position.
1
0	
MOVEMENT	SOLUTIONS	
	
Works	Cited	
Byrd,	Erick	T.,	Davod	A.	Cardenas	and	Jerusha	B.	Greenwood.	"Factors	of	Stakeholder	Tourism:	The	Case	of	
Eastern	North	Carolina."	Tourism	and	Hospitality	Research	8.3	(2008):	192-204.	
	
Momany,	Muaid	and	Alshboul	Abdullah.	"Social	Media	Marketing:	Utilizing	Social	Media	to	Advance	Brand	
Awareness	ande	Increase	Online	Sales."	International	Journal	of	Business,	Marketing,	and	Decision	
Science	9.1	(2016):	33-54.	
	
Smith,	Dan.	Should	Your	Dealership	Use	QR	Codes?	15	October	2014.	3	December	2017	
<http://www.dealermarketing.com/should-your-dealership-use-qr-codes/>.	
	
Weiler,	Betty	and	Betty	Walker.	"Enhancing	the	Visitor	Experience:	Reconceptualizing	the	Tour	Guide's	
Communicative	Role."	Journal	of	Hospitality	and	Tourism	Management	21	(2014):	90-99.	
	
Winter,	Amy.	Operators	Share	Successful	Marketing	Campaigns	.	1	December	2014.	6	December	2017	
<http://www.autorentalnews.com/channel/rental-operations/article/story/2014/11/operators-
share-successful-marketing-campaigns.aspx>.	
	
Yi,	Sangchoul,	Jonathon	Day	and	Liping	A	Cai.	"Rural	tourism	Demand:	Duration	Modeling	for	Drive	
Tourists'	Length	of	Stay	in	Rural	Areas	of	the	United	States."	Journal	of	Tourism	Challenges	and	
Trends	4.1	(2011):	147-168.
MOVEMENT	SOLUTIONS	 1
1		
R	Code	and	Output	
	
1. Outdoor	Recreational	Demand	Model	
	
RSDAT<-	read.csv(file.choose(),	header	=	TRUE)	
RSDAT	
lnPGASUS<-	log(PGASUS)	
lnPTIX<-	log(RSDAT$PTIX)	
lnRVTR<-	log(RSDAT$RVTR)	
lnPDIESUS<-	log(PDIESUS)	
lnYMed<-	RSDAT$lnMEDYQ	
Q1<-	log(RSDAT$Q1)	
Q2<-	log(RSDAT$Q2)	
Q3<-	log(RSDAT$Q3)	
Q4<-	log(RSDAT$Q4)	
lnLATS<-	log(RSDAT$LATSales)	
DRECUS<-	lm(lnRVTR~lnPGASUS+lnYMed+lnPTIX+Q2+Q3+Q4)	
summary.lm(DRECUS)	
	
Call:	
lm(formula	=	lnRVTR	~	lnPGASUS	+	lnYMed	+	Q2	+	Q3	+	Q4)	
	
Residuals:	
								1									2									3									4									5									6									7									8		
	0.037681	-0.075754	-0.005731		0.085976	-0.079158	-0.036063		0.097964	-0.085976		
								9								10								11		
	0.041477		0.111817	-0.092233		
	
Coefficients:	
	 	 	
	
Estimate	 Std.	Error	 t	value	 Pr(>|t|)	
(Intercept)	 -129.552	 47.8259	 -2.709	 .042335	*	
lnPGASUS	 1.9231	 0.6676	 2.881	 .034563	*	
lnYMed	 13.5326	 4.3062	 3.143	 .025592	*	
Q2	 0.763	 0.104	 7.336	 .000738	***	
Q3	 0.3923	 0.1211	 3.24	 .022955	*		
Q4	 0.1096	 0.1039	 1.055	 0.339785	
---	
Signif.	codes:		0	โ€˜***โ€™	0.001	โ€˜**โ€™	0.01	โ€˜*โ€™	0.05	โ€˜.โ€™	0.1	โ€˜	โ€™	1	
	
Residual	standard	error:	0.1112	on	5	degrees	of	freedom	
Multiple	R-squared:		0.9391,	 Adjusted	R-squared:		0.8782		
F-statistic:	15.42	on	5	and	5	DF,		p-value:	0.004653
1
2	
MOVEMENT	SOLUTIONS	
	
	
2. Winnebago	Demand	Models	
	
wgoemet<-	read.csv(file.choose(),	header	=	TRUE,	sep	=	",")	
lnCag<-	log(wgoemet$Cag)	
lnCad<-	log(wgoemet$Cad)	
lnCb<-	log(wgoemet$Cb)	
lnCc<-	log(wgoemet$CC)	
lnPprop<-	wgoemet$lnProp	
lnPgas<-	wgoemet$lnPgas	
lnPdies<-wgoemet$lnPdies	
lnAutoSI<-wgoemet$lnAutoS.Inv	
lnPATix<-wgoemet$lnPATix	
lnYr<-	wgoemet$lnYr	
lnPCED<-	wgoemet$lnPCEdur	
	lnCRec<-	wgoemet$lnCrec	
DQag<-	lm(lnCag~lnPgas+lnYr+lnPATix+lnPCED)	
DQad<-	lm(lnCad~lnPprop+lnPdies+lnYr+lnPATix+lnPCED+lnCRec)	
	DQb<-	lm(lnCb~lnPprop+lnPgas+lnYr+lnPCED+lnCRec)	
	DQc<-	lm(lnCc~lnPgas+lnYr+lnPdies+lnPATix+lnPCED+lnCRec)	
	
#Demand	Model	for	Class	A	Gas	
summary.lm(DQag)	
	
Call:	
lm(formula	=	lnCag	~	lnPgas	+	lnYr	+	lnPATix	+	lnPCED)	
	
Residuals:	
					Min							1Q			Median							3Q						Max		
-0.67125	-0.17455		0.01623		0.21291		0.68618		
	
Coefficients:	
												Estimate	Std.	Error	t	value	Pr(>|t|)					
(Intercept)			5.0181				10.4323			0.481		0.63359					
lnPgas								0.6130					0.3025			2.027		0.05062	.			
lnYr									-7.9113					1.0489		-7.543	9.29e-09	***	
lnPATix							3.8165					1.3936			2.739		0.00975	**		
lnPCED								8.7929					1.1050			7.958	2.86e-09	***	
---	
Signif.	codes:		0	โ€˜***โ€™	0.001	โ€˜**โ€™	0.01	โ€˜*โ€™	0.05	โ€˜.โ€™	0.1	โ€˜	โ€™	1	
	
Residual	standard	error:	0.3053	on	34	degrees	of	freedom	
Multiple	R-squared:		0.7827,	 Adjusted	R-squared:		0.7572		
F-statistic:	30.62	on	4	and	34	DF,		p-value:	7.657e-11
MOVEMENT	SOLUTIONS	 1
3		
	
#Demand	Model	for	Class	A	Diesel	
summary.lm(DQad)	
	
Call:	
lm(formula	=	lnCad	~	lnPprop	+	lnPdies	+	lnYr	+	lnPATix	+	lnPCED	+		
				lnCRec)	
	
Residuals:	
					Min							1Q			Median							3Q						Max		
-0.67201	-0.16908	-0.03774		0.20792		0.62925		
	
Coefficients:	
												Estimate											Std.	Error	t	value	Pr(>|t|)					
(Intercept)		-9.6690				17.1586		-0.564		0.57702					
lnPprop							0.4061							0.2344			1.732		0.09283	.			
lnPdies							0.4776								0.5122			0.932		0.35813					
lnYr									-9.4675								2.6870		-3.523		0.00131	**		
lnPATix							4.3267					1.7953			2.410		0.02187	*			
lnPCED								7.7249					1.4699			5.256	9.45e-06	***	
lnCRec								5.7968					3.1510			1.840		0.07511	.			
---	
Signif.	codes:		0	โ€˜***โ€™	0.001	โ€˜**โ€™	0.01	โ€˜*โ€™	0.05	โ€˜.โ€™	0.1	โ€˜	โ€™	1	
	
Residual	standard	error:	0.3239	on	32	degrees	of	freedom	
Multiple	R-squared:		0.7211,	 Adjusted	R-squared:		0.6689		
F-statistic:	13.79	on	6	and	32	DF,		p-value:	1.113e-07	
	
#Demand	for	Class	B	(Eurovan	Camper)	
summary.lm(DQb)	
	
Call:	
lm(formula	=	lnCb	~	lnPprop	+	lnPgas	+	lnYr	+	lnPCED	+	lnCRec)	
	
Residuals:	
				Min						1Q		Median						3Q					Max		
-3.5208	-0.6132		0.0899		0.6806		4.0262		
	
Coefficients:	
													Estimate	Std.	Error	t	value	Pr(>|t|)				
(Intercept)	-134.6277				41.6985		-3.229		0.00281	**	
lnPprop							-1.6772					0.8901		-1.884		0.06836	.		
lnPgas									2.6880					1.8814			1.429		0.16247				
lnYr											5.5432				10.7302			0.517		0.60889				
lnPCED								-6.9020					4.9042		-1.407		0.16867				
lnCRec								20.4507				13.0230			1.570		0.12587				
---	
Signif.	codes:		0	โ€˜***โ€™	0.001	โ€˜**โ€™	0.01	โ€˜*โ€™	0.05	โ€˜.โ€™	0.1	โ€˜	โ€™	1	
	
Residual	standard	error:	1.301	on	33	degrees	of	freedom	
Multiple	R-squared:		0.7234,	 Adjusted	R-squared:		0.6815		
F-statistic:	17.26	on	5	and	33	DF,		p-value:	2.204e-08
1
4	
MOVEMENT	SOLUTIONS	
	
	
#Demand	Model	for	Class	C		
summary.lm(DQc)	
	
Call:	
lm(formula	=	lnCc	~	lnPgas	+	lnYr	+	lnPATix	+	lnPCED	+	lnCRec)	
	
Residuals:	
					Min							1Q			Median							3Q						Max		
-0.70215	-0.07070		0.04084		0.14581		0.67485		
	
Coefficients:	
												Estimate	Std.	Error	t	value	Pr(>|t|)				
(Intercept)	-13.4608				10.7165		-1.256		0.21791				
lnPgas							-0.5910						0.4002		-1.477		0.14927				
lnYr										2.6306							2.5361			1.037		0.30715				
lnPATix							2.9729					1.3743			2.163		0.03787	*		
lnPCED								4.2761					1.2586			3.397		0.00179	**	
lnCRec							-9.0612					2.9114		-3.112		0.00382	**	
---	
Signif.	codes:		0	โ€˜***โ€™	0.001	โ€˜**โ€™	0.01	โ€˜*โ€™	0.05	โ€˜.โ€™	0.1	โ€˜	โ€™	1	
	
Residual	standard	error:	0.2949	on	33	degrees	of	freedom	
Multiple	R-squared:		0.6829,	 Adjusted	R-squared:		0.6349		
F-statistic:	14.22	on	5	and	33	DF,		p-value:	1.94e-07

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