Dominated destinations of tourist inside Iraq using personal information and frequency of travel

Tourism today is one of the most important economic and social sectors in the world, which plays a prominent role in the development of countries. This importance has grown as an industry through the social media networks.In this paper, a proposed method has been introduced distinguish the main factors that impact the Frequency of Travel (FoT) among Iraq local tourists. Application (API) graphics and scrapy are utilized to collect information from TripAdvisor social network in a period of (2015-2018). The collected information are reprocessed and coded for the specified nominal data using tied rank. It is important to note that the adopted technique does not lose any data about the attribute and brings different properties beforehand obscure. Data mining ordinal logistic regression is used to extract user's behavior upon local tourism in Iraq. The expected outcome of this work is to discover out the effect of personal information and the type of places on the selection of the local touristic places in Iraq. The collected information was exploited to know the preferred local touristic trends, because there are no statistics on the number of domestic tourists in Iraq. The proposed model was used for analyzing personal information and types of preferred tourism places as a factors affecting frequency of travel in Iraq. The obtained results show the prediction of preferred touristic places by tourists in Iraq

Site Selection Using Geo-Social Media: A Study For Eateries In Lisbon

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesThe rise in the influx of multicultural societies, studentification, and overall population growth has positively impacted the local economy of eateries in Lisbon, Portugal. However, this has also increased retail competition, especially in tourism. The overall increase in multicultural societies has also led to an increase in multiple smaller hotspots of human-urban attraction, making the concept of just one downtown in the city a little vague. These transformations of urban cities pose a big challenge for upcoming retail and eateries store owners in finding the most optimal location to set up their shops. An optimal site selection strategy should recommend new locations that can maximize the revenues of a business. Unfortunately, with dynamically changing human-urban interactions, traditional methods like relying on census data or surveys to understand neighborhoods and their impact on businesses are no more reliable or scalable. This study aims to address this gap by using geo-social data extracted from social media platforms like Twitter, Flickr, Instagram, and Google Maps, which then acts as a proxy to the real population. Seven variables are engineered at a neighborhood level using this data: business interest, age, gender, spatial competition, spatial proximity to stores, homogeneous neighborhoods, and percentage of the native population. A Random Forest based binary classification method is then used to predict whether a Point of Interest (POI) can be a part of any neighborhood n. The results show that using only these 7 variables, an F1-Score of 83% can be achieved in classifying whether a neighborhood is good for an “eateries” POI. The methodology used in this research is made to work with open data and be generic and reproducible to any city worldwide

A History of Mitchell Park in Three Eras: 1890-2021

This thesis examines the history of Mitchell Park—and the various iterations of the conservatory it now hosts—across three distinct periods of urban development. Located in Milwaukee, WI, the County-operated institution consists of three conoidal-domes, measuring 140 feet across by 85 feet high (7 stories), each structure protects an acre of soil within; one dome hosting desert flora, a second filled with tropical vegetation, and a third mixed-use ‘show-dome’ able to host rotating exhibitions. The massive civic structures were constructed over nine years, from 1958-1967, as a testament to the industrial might of the growing harbor city.Through a blend of primary and secondary sources, this thesis seeks to provide a more complex and detailed history of Mitchell Park than currently exists. The few historical writings that do exist, do not focus on Mitchell Park exclusively and tend to condense its long history into a one-to-two-page summary. By excavating the past, this thesis identifies and analyzes the social and cultural forces informing park design and development in Milwaukee. More broadly, a close examination of the history of Mitchell Park shows how place can be used as a lens to understand urban change through three distinct eras: Golden Age Milwaukee (1880-1930), Postwar Milwaukee (1945-1972), and Neoliberal Milwaukee (1972-ongoing), and in turn, how each era influenced park design and development. Acting as a symbolic representation of Milwaukee\u27s history and a manifestation of its identity, the story of Mitchell Park is also broadly reflective of the wider urbanization process in the United States. In attempting to trace the mechanisms that shape the city, this thesis explores the history of urban development, and the complex nature of power within the city, through the collection, and juxtaposition, of both primary and secondary sources

Management of sustainability transitions through planning in shrinking resource city contexts: an evaluation of Yubari City, Japan

This paper evaluates the planning competences required to enact a managed transition to sustainability at the municipal level for cities facing population, economic and employment decline. Drawing on the ‘shrinking cities’ literature, we argue consolidation of the built environment can become a focal point for sustaining citizen welfare when transitioning cities that are facing decline, especially those previously reliant on resource industries. We evaluate the former coal mining city of Yubari, Japan, which is developing a consolidated urban form with the aim of creating a ‘sustainable’ future city. Findings from interviews and content analysis of Yubari’s planning policy indicate, however, that to translate ‘shrinking’ a city into a managed transition, spatial planning must be accompanied by a wider range of social policy measures and strong cross-sectoral engagement. We also caution that the unique geographical and political context of Yubari mean its model may not be directly replicable in other contexts

Service Quality Evaluation Model of Public Living Facilities in a Community

Accurate evaluating the service quality of public living facilities in a community by quantitative method is significant to urban planning. However, the performances of existing methods are usually limited for service quality evaluation due to single data source or single index. To solve the above problems, we propose a service quality evaluation model of public living facilities in a community. Firstly, POI data and subjective residents\u27 satisfaction evaluation data was pre-processed for data preparation. Then, the four evaluation indicators included in the model were established, namely, accessibility, diversity, selectivity, and satisfaction. Finally, after the completion of the calculation of the four indexes, standardized processing of the calculation results was performed, and the entropy method was used to assign different weights to the indexes, thereby achieving the quantitative evaluation of the service quality of community public living facilities. We chose the central urban area of Chengdu, China, as a case study for modeling analysis, and the case study successfully estimated the service quality and spatial difference of community living facilities. The results of this model can provide a reliable basis for future urban planning and the location of commercial facilities