This paper offers an econometric model system that simultaneously considers six different activity-travel choice dimensions in a unifying framework. The six dimensions include residential location choice, work location choice, auto ownership, commuting distance, commute mode, and number of stops on commute tours. The paper presents the modeling methodology in detail as well as estimation result...

The key design challenges in the construction of a SAT-based relational model finder are described, and novel techniques are proposed to address them. An efficient model finder must have a mechanism for specifying partial solutions, an effective symmetry detection and breaking scheme, and an economical translation from relational to boolean logic. These desiderata are addressed with three new t...

Large and complex information requires arbitrarily extensive displays for an exact, comprehensive visualization. This paper introduces a technique, time-multiplexing, for presenting such information that concentrates on the efficient management of time for a typical display. Timemultiplexing complements classical approaches, which are graphics oriented and make use of spatial and perceptual fea...

In this poster we present a study exploring the benefits of using audio guides instead of human tour guides to foster children’s engagement and learning outcomes during their visit to a natural science museum. We conducted an experiment in a museum with 25 children from a school (9-10 years old) in order to discover if there was any effect of the usage of audio guides regarding children’s engag...

Analytical modeling and insights, numerical experiments, and real-world tour data are used to understand the impact of congestion on urban tour characteristics, carriers’ costs, and distance/time traveled. This paper categorizes tours into three classes based on their tour efficiency and variable costs structure. Travel time/distance between customers and depot is found to be a crucial factor t...

The paper addresses a tour planning problem, which encompasses weakly specified constraints such as different kinds of activities together with corresponding spatial assignments such as locations and regions. Alternative temporal orders of planed activities together with underspecified spatial assignments available at different levels of granularity lead to a high computational complexity of th...

This study explored the service quality of ubiquitous mobile tour information, which has been emerging as a new solution in its integration with providing tour information services. with advancement of mobile technologies. The study also expanded on the effect of user’s perceived quality on enjoyment and usage intention. The demonstrative analysis result, from users’ firsthand interaction with ...

This research investigates the feasibility of applying a guaranteed-accuracy heuristic learning algorithm to address the traveling salesman problem. The research focuses on tour construction. The advantage of tour construction heuristic is its simplicity in concept. However, tour construction heuristic often results in a sub-optimal solution and the tour often needs to be improved after it is b...

We present a new formulation of the tour scheduling problem with assignment costs that are a function of employee capabilities. The objective also incorporates a quadratic term to encourage compact shifts and equal interday shift lengths for each employee. The problem is solved using a tabu-like probabilistic local search algorithm. The algorithm is applied in two phases with employee conflicts...

We study the version of the asymmetric prize collecting traveling salesman problem, where the objective is to find a directed tour that visits a subset of vertices such that the length of the tour plus the sum of penalties associated with vertices not in the tour is as small as possible. In [3], the authors defined it as the Profitable Tour Problem (PTP). We present an (1 + log(n))-approximatio...