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    <title>DSpace Collection:</title>
    <link>http://www.openstarts.units.it:80/dspace/handle/10077/5954</link>
    <description />
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        <rdf:li rdf:resource="http://www.openstarts.units.it:80/dspace/handle/10077/5961" />
        <rdf:li rdf:resource="http://www.openstarts.units.it:80/dspace/handle/10077/5960" />
        <rdf:li rdf:resource="http://www.openstarts.units.it:80/dspace/handle/10077/5959" />
        <rdf:li rdf:resource="http://www.openstarts.units.it:80/dspace/handle/10077/5958" />
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    <dc:date>2013-05-21T00:54:54Z</dc:date>
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  <item rdf:about="http://www.openstarts.units.it:80/dspace/handle/10077/5961">
    <title>European Transport / Trasporti Europei</title>
    <link>http://www.openstarts.units.it:80/dspace/handle/10077/5961</link>
    <description>Title: European Transport / Trasporti Europei
Type: Fascicolo rivista</description>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.openstarts.units.it:80/dspace/handle/10077/5960">
    <title>Bus speed estimation by neural networks to improve the automatic fleet management</title>
    <link>http://www.openstarts.units.it:80/dspace/handle/10077/5960</link>
    <description>Title: Bus speed estimation by neural networks to improve the automatic fleet management
Authors: Salvo, G.; Amato, G.; Zito, Pietro
Abstract: In the urban areas, public transport service interacts with the private mobility. Moreover, on each link&#xD;
of the urban public transport network, the bus speed is affected by a high variability over time. It depends&#xD;
on the congestion level and the presence of bus way or no. The scheduling reliability of the public&#xD;
transport service is crucial to increase attractiveness against private car use. A comparison between a&#xD;
Radial Basis Function network (RBF) and Multi layer Perceptron (MLP) was carried out to estimate the&#xD;
average speed, analysing the dynamic bus location data achieved by an AVMS (Automatic Vehicle&#xD;
Monitoring System). Collected data concern bus location, geometrical parameters and traffic conditions.&#xD;
Public Transport Company of Palermo provided these data.
Type: Articolo</description>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.openstarts.units.it:80/dspace/handle/10077/5959">
    <title>Choice of departure station by railway users</title>
    <link>http://www.openstarts.units.it:80/dspace/handle/10077/5959</link>
    <description>Title: Choice of departure station by railway users
Authors: Debrezion, Ghebreegziabiher; Pels, E.; Rietveld, Piet
Abstract: This paper applies a multinomial logit model to the choice of a departure railway station by Dutch&#xD;
railway passengers. This is a relevant theme since about 50% of Dutch railway passengers do not travel&#xD;
via the nearest railway station. The passengers’ choices for departure stations are aggregated at the four&#xD;
digit postal code area level. We applied three functional forms for the underlying systematic utility of a&#xD;
station, namely a linear effect of attributes, cross effect of distance and frequency of service, and a&#xD;
translog formulation on distance and frequency of train services. With 3,498 post code areas and 360&#xD;
railway stations our analysis found consistent effect sizes for distance, frequency of service, intercity&#xD;
status of the station and the presence of park-and-ride facility on the choice of departure station. The&#xD;
effect of distance on the choice of a departure station declines smoothly. The effect of frequency of&#xD;
service is relatively small compared to the effect of distance. A frequency of service increase by a&#xD;
hundred trains per day is equivalent to being 600 m closer to the station. The Intercity status of the station&#xD;
plays the biggest role in the choice of departure station. It has an equivalent effect of a change in 2 km&#xD;
distance or about a frequency of service of 300 trains per day. In addition, the presence of park-and-ride&#xD;
facility in the station poses a sizable effect in the departure station choice. In most cases its effect reaches&#xD;
about 35% of the intercity status effect.
Type: Articolo</description>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://www.openstarts.units.it:80/dspace/handle/10077/5958">
    <title>A mixed logit model for the sensitivity analysis of Greek drivers' behaviour towards enforcement for road safety</title>
    <link>http://www.openstarts.units.it:80/dspace/handle/10077/5958</link>
    <description>Title: A mixed logit model for the sensitivity analysis of Greek drivers' behaviour towards enforcement for road safety
Authors: Yannis, George; Antoniou, C.
Abstract: Traffic violations are among the leading causes of road accidents. In this research, the sensitivity of&#xD;
Greek drivers to a hypothetical intensification of police enforcement for speed violations and improper&#xD;
overtaking is analyzed, using stated preference data. Under the assumption of increased police&#xD;
enforcement, drivers were presented with the option to maintain their unsafe driving patterns (and risk&#xD;
getting fined) or comply with the traffic laws (and experience longer trip duration). A parsimonious&#xD;
mixed logit model has been estimated and sensitivity analysis is performed with respect to the main&#xD;
variables. The model explicitly captures the (unobserved) heterogeneity in the sample, and reflects the&#xD;
fixed random parameter across observations from the same respondent. The behaviour of the surveyed&#xD;
drivers depends on socioeconomic characteristics and trip characteristics. Based on the presented&#xD;
sensitivity analysis, it can be argued that while the “typical” Greek driver may not be particularly riskprone,&#xD;
there are segments of the population that show a tendency to violate traffic laws. This is a useful&#xD;
finding that could be used by policy makers e.g. to develop targeted police enforcement campaigns (or&#xD;
targeted media campaigns, special education initiatives, etc.), aimed at the demographic segments with a&#xD;
higher tendency for traffic violation.
Type: Articolo</description>
    <dc:date>2007-01-01T00:00:00Z</dc:date>
  </item>
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