# A Novel Application Based on a Heuristic Approach for Planning Itineraries of One-Day Tourist
## 1 Introduction
### Related Works: Parameter-Based Classification  
Another classification that can be proposed is based on the works that emphasizes the study of the effect of key parameters of the TTDP on the final solution, such as: (i) the selection of transport modes to reach the different PoIs; (ii) the choice of PoIs; (iii) the number of tours to be generated, on the basis of visiting duration; (iv) the visit duration of a PoI; (v) the travel times among PoIs; (vi) the daily time budget that a tourist wishes to spend on visiting a PoI; (vii) the weather conditions.  
Transport is a critical and dynamic process of tourism, which facilitates physical movement to points of interest [22; 23; 24]. Transportation affects the accessibility to the tourist destination, the distance travelled, and the comfort of the trip [25; 26]. The authors in [27] develop a genetic algorithm (GA) to solve the TTDP that included multimodal transport and real traffic parameters and time constraints.  
In [14] the influencing factors of the tour route choices of tourists are analyzed by means of a questionnaire survey. Moreover, tour routes multiobjective optimization functions are prompted for the tour route design with the aim of maximise the user satisfaction with the minimum tour distance. The authors in [17] analyze the planning of a multipleday tour by considering a set of PoIs, a visiting duration, and a set of multiple opening and closing times per day combined with the trip constraints of the tourist. The authors in [28] apply an evolutionary algorithm to solve the tour planning problem in time-dependent urban areas. [PERSON] et al. [29] develop a tool for tourist itineraries that considered the departure time and the mode of transport on the tourist route. [PERSON] et al. [30] develop a mathematical model to consider the selection of transport modes, the travel budget, and the maximum travel times. [PERSON] et al. [31] design a multi-objective model of one-day urban tourist routes, taking into account the transport modes and the complexity of urban tourism transport systems, as congestion, and the transport needs of tourists. [PERSON] et al. [32] develop a model for the construction of itineraries in scenic routes considering the modes of transport. The authors in [33] analyze the environmental implications of tourist itineraries by creating groups of tourists that use a single mode of transportation (i.e., taxis). Some works study the use of electric vehicles (EV) for the generation of more environmentally friendly tourist itineraries, such as [34; 35; 36].  
Other works focus on planning trips for tourist group [37; 33], that consider the individual preferences of each tourist. The authors in [38] develop a model for the route design problem for various cycle-tourists. The model consider the preferences of each tourist who incorporates different benefits on the same route. Finally, the authors in [33] develop a route planning model that considers multiple days, urban tourism, PoI categories, and heterogeneous preferences for a group of tourists that maximise profit and minimises travel time, distance, and cost.