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Summary This paper presents a new concept of urban shared‐taxi services. The proposed system has a new organisational design and pricing scheme that aims to use the capacity in traditional taxi services in a more efficient way. In this system, a taxi acting in ‘sharing’ mode offers lower prices to its clients, in exchange for them to accept sharing the vehicle with other persons who have compatible trips (time and space). The paper proposes and tests an agent‐based simulation model in which a set of rules for space and time matching between a request of a client and the candidate shared taxis is identified. It considers that the client is only willing to accept a maximum deviation from his or her direct route and establishes an objective function for selecting the best candidate taxi. The function considers the minimum travel time combination of pickup and drop‐off of all the pool of clients sharing each taxi while allowing to establish a policy of bonuses to competing taxis with certain number of occupants. An experiment for the city of Lisbon is presented with the objectives of testing the proposed simulation conceptual model and showing the potential of sharing taxis for improving mobility management in urban areas. Results show that the proposed system may lead to significant fare and travel time savings to passengers, while not jeopardising that much the taxi revenues. Copyright © 2014 John Wiley & Sons, Ltd.

TAZ (transportation analysis zones), Transportation planning studies, Transportation demand models, GIS (geographic information systems),

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The aim of this paper is to examine the relationship between the availability of transportation infrastructure and services and the pattern of house prices in an urban area and to assess whether public investment in transportation can modify residential property values. This study was developed for the Lisbon, Portugal, metropolitan area (LMA) as part of a broader study that intends to develop new value-capture financing schemes for public transportation in the LMA. The paper focuses on three central municipalities in Portugal (Amadora, Lisbon, and Odivelas), where these effects could be more easily measured because of the existence of a significant variability of public transportation services. The paper tries to determine, with different spatial hedonic pricing models, the extent to which access to transportation infrastructure currently is capitalized into house prices and isolates the influence of three different transportation infrastructures: metro, rail, and road. The results suggest that the proximity to one or two metro lines leads to significant property value changes. Results further indicate that the classic hedonic price model (ordinary least-squares estimation) leads to similar coefficient values of the local accessibility dummy variables compared with the spatial lag model and thus provides a steady basis to forecast the property value changes derived from transportation investment for the study area in the absence of a significant property value database.