© The Institution of Engineering and Technology
This study deals with the application of a Web structure available to both Mobility Managers and employees. Its main functionalities enable the Mobility Manager to collect mobility data that can be used to design some optimal home-to-work mobility strategies and the employees to access a car pooling service. The realisation of this Web structure has been made possible by using, as support tools, Intelligent Transportation System Technologies such as Geographic Information System and Web services beside a communication network. The realisation of the application has been preceded by a pilot survey carried out within an industrial area in South Sardinia. The survey results have highlighted the need for an organised management of the home-to-work mobility, as well as the sample's willingness to use viable alternatives to private car use. In this article, the modules related to the on line questionnaires and the car pooling service are investigated. With reference to the car pooling service, the functioning of the matching algorithm has been tested by using the pilot survey results and is described in the appendix. The testing results show that the response times for the algorithm are acceptable for home-to-work trips, within the territorial context investigated in this research.
References
-
-
1)
-
S. Fujii
.
Mobility management as an integrated transportation policy: a continuous management that integrates soft and hard measures.
Transp. Policy Stud. Rev.
,
36 ,
2 -
10
-
2)
-
http://sst.ivhs.washington.edu/sst/Demonstration/ddemointro.html, accessed September 2008.
-
3)
-
F.R. Yu ,
V.W.S. Wong ,
J. Song ,
V.C.M. Leung ,
H.C.B. Chan
.
Next generation mobility management: an introduction.
Wirel. Commun. Mobile Comput.
,
4 ,
446 -
458
-
4)
-
Dogru, M.: `Car pooling with GIS map server and web services', 2004, Master's, University of Zurich, Switzerland.
-
5)
-
S. Fujii ,
S. Bamberg ,
M. Friman ,
T. Gärling
.
Are effects of travel feedback programs correctly assessed.
Transportmetrica
,
1 ,
43 -
57
-
6)
-
www.epommweb.org, accessed May 2008.
-
7)
-
M. Krishnamoorthy ,
J. Van Der Touw
.
Estimating the viability of an instant car pooling system.
ASOR Bull.
,
2 ,
7 -
15
-
8)
-
(2001)
White Paper – European transport policy for 2010: time to decide.
-
9)
-
Cambridge Systematics, Inc. & Texas Transportation Institute: ‘Trends and advanced strategies for congestion mitigation’. Report prepared for Federal Highway Administration, 2005. Internal report available at: http://ops.fhwa.dot.gov/congestion_report/congestion_report_05.pdf.
-
10)
-
http://cordis.europa.eu/transport/src/momentum.htm, accessed May 2008.
-
11)
-
Keenan, P., Brodie, S.: `A prototype web-based carpooling system', Americas Conf. on Information Systems, 2000, Long Beach, California, USA, p. 362–364, Association for Information Systems.
-
12)
-
M.J. Bianco
.
Effective transportation demand management combining parking pricing, transit incentives, and transportation management in a Commercial District of Portland, Oregon.
Transp. Res. Rec.
,
48 -
54
-
13)
-
G. Murray ,
D. Koffman ,
C. Chambers ,
P. Webb
.
(1997)
Strategies to assist local transportation agencies in becoming mobility managers.
-
14)
-
www.mobilitymanagement.be, accessed May 2008.
-
15)
-
J. Nielsen
.
(1993)
Response times: the three important limits.
-
16)
-
G. Correia ,
J.M. Viegas
.
Carpooling and carpool clubs: clarifying concepts and assessing value enhancement possibilities through a States Preference web survey in Lisbon, Portugal.
Transp. Res. A: Policy and Pract.
,
2 ,
81 -
90
-
17)
-
M. Höjer
.
Transport telematics in urban system – a backcasting Delphi study.
Transp. Res. D.
,
6 ,
445 -
463
-
18)
-
S. Bamberg ,
S. Fujii ,
M. Friman ,
T. Gärling
.
Behaviour theory and soft transport policy measures.
Transp. Policy
,
1 ,
228 -
235
-
19)
-
http://gemma.technomobility.it on line since November 2008.
-
20)
-
http://mo.st, accessed May 2008.
-
21)
-
Commission of the European Communities: ‘Action plan on urban mobility (COM)490’, 2009, p. 10.
-
22)
-
www.cacip.it/macchiareddu.htm, accessed January 2008.
-
23)
-
D.H. McKnight ,
L.L. Cummings ,
N.L. Chervany
.
Trust formation in new organizational relationships.
Acad. Manag. Rev.
,
3 ,
473 -
490
-
24)
-
K.J. Dueker ,
I.P. Levin ,
B.O. Bair
.
Ride sharing: psychological factors.
Transp. Eng. J.
,
6 ,
685 -
692
-
25)
-
D.J. Dailey ,
D. Loseff ,
D. Meyers
.
Seattle smart traveler: dynamic ridematching on the world wide web.
Transp. Res. C
,
1 ,
17 -
32
-
26)
-
T. Vanoutrive ,
L. Van Malderen ,
B. Jourquin ,
I. Thomas ,
A. Verhetsel ,
F. Witlox
.
Mobility management measures by employers: overview and exploratory analysis for Belgium.
Eur. J. Transp. Infrastruct. Res.
,
2 ,
121 -
141
-
27)
-
S. Shaheen ,
D. Sperling ,
C. Wagner
.
Carsharing and partnership management – an international perspective.
-
28)
-
A. Taniguchi ,
A. Suzuki ,
S. Fujii
.
(2007)
Mobility management in Japan: advances in travel behavior analysis – its development and meta-analysis of travel feedback programs.
-
29)
-
http://www.mlit.go.jp/road/road_e/contents02/2-1-1.html, accessed May 2008.
-
30)
-
Dailey, D.J., Loseff, D., Meyers, D., Haselkorn, M.: `Seattle smart traveler', Presented at the Transportation Research Board 76th Annual Meeting, 12–16 January 1997, Washington, D.C.
-
31)
-
M. Höjer
.
Urban transport, information technology and sustainable development.
World Transp. Policy Pract.
,
1 ,
46 -
51
-
32)
-
www.autostradecarpooling.it, accessed August 2010.
-
33)
-
S. Cairns ,
L. Sloman ,
C. Newson ,
J. Anable ,
A. Kirkbride ,
P. Goodwin
.
Smarter choices: assessing the potential to achieve traffic reduction using ‘soft measure.
Transp. Rev.
,
5 ,
593 -
618
-
34)
-
I.P. Levin ,
M.K. Mosell ,
C.M. Lamka ,
B.E. Savage ,
M.J. Gray
.
(1977)
Measurement of psychological factors and their role in travel behaviour.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-its.2010.0168
Related content
content/journals/10.1049/iet-its.2010.0168
pub_keyword,iet_inspecKeyword,pub_concept
6
6