scholarly journals Forecasting Delivery Pattern through Floating Car Data: Empirical Evidence

2021 ◽  
Vol 1 (3) ◽  
pp. 707-719
Author(s):  
Antonio Comi ◽  
Antonio Polimeni

This paper investigates the opportunities offered by floating car data (FCD) to infer delivering activities. A discrete trip-chain order model (within the random utility theory) for light goods vehicles (laden weight less than 3.5 tons) is hence proposed, which characterizes delivery tours in terms of the number of stops/deliveries performed. Thus, the main goal of the study is to calibrate a discrete choice model to estimate the number of stops/deliveries per tour by using FCD, which can be incorporated in a planning procedure for obtaining a preliminary assessment of parking demand. The data used refer to light goods vehicles operating in the Veneto region. The database contains more than 8000 tours undertaken in 60 working days. Satisfactory results have been obtained in terms of tour estimation and model transferability.

2007 ◽  
Vol 7 (2) ◽  
pp. 179-197 ◽  
Author(s):  
IGNACIO APELLA

AbstractThe objective of the paper is to identify the determinants of the market share of each AFJP and the matrix of direct and cross price elasticities, by using a discrete choice model of product differentiation, based on the random utility theory. The results obtained from the estimation of a simple logit model using a panel of quarterly data between December of 1995 and June of 2006 shows the existence of two competitive mechanisms used by firms: prices and a vector of variables explaining horizontal differentiation, such as quantity of branches and salesman. The estimation of the nested-logit model supports the hypothesis of sequential election, where firms are chosen by their price setting strategies, defining two groups of competitors. Finally, the regulatory change that eliminates fixed commissions provides additional importance to prices signals in consumers' utility.


2020 ◽  
Vol 12 (20) ◽  
pp. 8557
Author(s):  
Antonello Ignazio Croce ◽  
Giuseppe Musolino ◽  
Corrado Rindone ◽  
Antonino Vitetta

According to the literature, the path choice decision process of a user of a (road) transport network, named path choice problem (PCP), is composed of two levels/models: the definition of perceived alternative paths (choice set) and the choice of one path in the path choice set. The path choice probability can be estimated with two models: a choice model of the path choice set and a choice model of a path (Mansky paradigm). In this research, the paper’s contribution concerns two elements: extension of the PCP paradigm (two-level models) consolidated in the literature to the route choice decision process (vehicle routing problem (VRP)) and identification of common elements in the PCP and VRP concerning the criteria in the two decision levels and the procedure for route and path selection and choice. The experiment concerns the comparison of observed routes with simulated and optimized routes of commercial vehicles to analyse the level of similarity and coverage. The observed routes are extracted from floating car data (FCD) from commercial vehicles travelling inside a study area inside the Calabria Region (Southern Italy). The comparison is executed in terms of similarity of the sequences of nodes visited between observed routes and simulated/optimized routes.


2013 ◽  
Vol 361-363 ◽  
pp. 2036-2039 ◽  
Author(s):  
En Jian Yao ◽  
Long Pan ◽  
Yang Yang ◽  
Yong Sheng Zhang

Taxi drivers are viewed having more driving experience, being more familiar with road traffic condition, and in turn having more rational route choice behaviors than ordinary drivers. Using floating car data (FCD) of Beijing taxi in 2010, this study discusses the influence of road network conditions and traffic status to taxi drivers route choice behaviors. First, trip information is extracted from FCD using trip-identification method; Second, map matching and K-shortest paths are used to construct the trajectories and the sets of alternate routes, and route similarity evaluation is conducted to build the sample data of route choice behavior analysis; Finally, route choice model for taxi drivers based on Multinomial Logit (MNL) Model is estimated. The result shows that taxi drivers tend to choose the route which has faster driving speed, less frequency of left turns, more proportion of express way and less proportion of minor road, and increasing a left-turn or decreasing travel speed by 2.12km/h has the same effect on route choice utility. This study is expected to be helpful to establish map-matching algorithm of FCD, route guidance scheme and traffic assignment model.


1993 ◽  
Vol 11 ◽  
pp. 97-103
Author(s):  
Hiroshi MATSUI ◽  
Motohiro FUJITA ◽  
Takuya TSUJIKAWA

2011 ◽  
Vol 97-98 ◽  
pp. 327-333 ◽  
Author(s):  
Qi Qi Dai ◽  
Yuan Fu Li ◽  
Fang Wang ◽  
Ying Wang

From the traveler’s view, this paper uses random utility theory of the disaggregate model to construct travelers transportation choice model, employ software STATA to calibrate parameter for getting utility function for prediction, and then employ the critical condition which make rail transit and regular transit coordinated to calculate reasonable rail transit station spacing. Finally, example is given, the results show that rail transit station spacing based on passenger travel choice, make rail transit and regular transit to achieve harmonization and complementarities, and improve overall operating efficiency of urban transit system.


1977 ◽  
Vol 9 (3) ◽  
pp. 285-344 ◽  
Author(s):  
H C W L Williams

This paper examines a variety of issues within the context of two main themes: the formation of travel demand models and economic evaluation measures which are mutually consistent within a theory of rational choice; and a consideration of the structure of models which are representations of the trip decision process over several dimensions: location, mode, and route. Random utility theory is invoked to explore both the role and properties of composite costs or index prices in the ‘recursive’ approach to the structuring of travel choice models, and their significance in the economic evaluation problem. It is shown that the specification of these costs must be made very precisely, with respect to the demand model form chosen, in order to retain the underlying assumption that the traveller is an optimal decisionmaker. It is argued that the structure of ‘simultaneous’ models currently in use is inconsistent with the form of utility function assumed to generate those models. Furthermore, it is shown that the ‘simultaneous’ and ‘recursive’ forms are special cases of a more general choice model structure which takes specific account of correlation or ‘commonality’ of trip attributes. A number of applications are discussed in which consistent demand models and perceived user benefit measures are constructed. These include the formation of strategic transport planning models and of models for mixed-mode, multimode, and multiroute systems. The formalism allows definitive answers to be given to a number of problems of current interest in transportation planning, which have been incorrectly or incompletely treated.


1986 ◽  
Vol 20 (4) ◽  
pp. 321-330 ◽  
Author(s):  
Frank S. Koppelman ◽  
Eric I. Pas

1984 ◽  
Vol 15 (4) ◽  
pp. 267-274 ◽  
Author(s):  
Harriet B. Klein

Formal articulation test responses are often used by the busy clinician as a basis for planning intervention goals. This article describes a 6-step procedure for using efficiently the single-word responses elicited with an articulation test. This procedure involves the assessment of all consonants within a word rather than only test-target consonants. Responses are organized within a Model and Replica chart to yield information about an individual's (a) articulation ability, (b) frequency of target attainment, substitutions, and deletions, (c) variability in production, and (d) phonological processes. This procedure is recommended as a preliminary assessment measure. It is advised that more detailed analysis of continuous speech be undertaken in conjunction with early treatment sessions.


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