Geo Data Science for Tourism

This reprint describes the recent challenges in tourism seen from the point of view of data science. Thanks to the use of the most popular Data Science concepts, you can easily recognise trends and patterns in tourism, detect the impact of tourism on the environment, and predict future trends in tourism. This reprint starts by describing how to analyse data related to the past, then it moves on to detecting behaviours in the present, and, finally, it describes some techniques to predict future trends. By the end of the reprint, you will be able to use data science to help tourism businesses make better use of data and improve their decision making and operations.

Data-Driven Market Segmentation: The Case of Medical Tourists in Lebanon

Purpose – This research aims to obtain an in-depth understanding of medical tourists’ segments and the variations that exist within them as tourists and patients. Design/Methodology/Approach – A data-driven segmentation approach using the two-step cluster analysis technique was applied on a sample of 212 participants visiting Lebanon for medical purposes. The research instruments combine travel motivation variables, along with socio-demographic, geographic, and behavioral characteristics. Findings and implications – The results identified two distinct segments: “the international patients” and “the elective medical tourists.” The delineated segments have significant implications for scholars, allowing them to understand the profile of tourists and their associated motivations and behaviors better. They can guide medical tourism service providers, marketers, and destination managers in providing specific medical tourism products and services that meet the expectations of each segment. Limitations – Limitations were experienced during the data collection process due to a lack of collaboration and prompt responses by some medical centers, as well as the political and economic contexts of Lebanon that discouraged tourism inflow. These limitations prevented the researchers from obtaining a larger sample size. Originality – There is limited understanding of medical tourists and their diversities in medical tourism literature to date. This study addresses the gap by proposing a new segmentation method in the field of medical tourism that delineates segments by investigating medical tourists’ travel motivations in line with their characteristics

Ski Development in National Forests

79 pages

Environmental Assessment for Coal Planning Decisions in the Carbon Basin Area of the Great Divide Resource Area

In 1982, a federal coal lease was issued for approximately 60% of the federal coal lands located in the Carbon Basin. Because this lease was still in effect at the time the current BLM land use plan (the Great Divide Resource Area Resource Management Plan-RMP-1990) covering the Carbon Basin area was prepared, it was exempt from the coal screening/planning requirements. However, development of this lease was never pursued and the lease expired in 1992. Also at the time the Great Divide RMP was prepared, there was no other interest expressed by industry in obtaining federal coal leases in the area. As a result of these two factors, the coal screening/planning process was not conducted on the area and there were no coal planning decisions for any of the federal coal lands in the Carbon Basin area included in the Great Divide RMP

Harnessing social media data to explore urban tourist patterns and the implications for retail location modelling

The tourism landscape in urban destinations has been spatially expanded in recent years due to the increasing prevalence of sharing economy accommodation and other tourism trends. Tourists now mix with locals to form increasingly intricate population geographies within urban neighbourhoods, bringing new demand into areas which are beyond the conventional tourist locations. How these dispersed tourist demands impact local communities has become an emerging issue in both urban and tourism studies. However, progress has been hampered by the lack of fine granular travel data which can be used for understanding urban tourist patterns at the small-area level. Paying special attention to tourist grocery demand in urban destinations, the thesis takes London as the example to present the various sources of LBSN datasets that can be used as valuable supplements to conventional surveys and statistics to produce novel tourist population estimates and new tourist grocery demand layers at the small area level. First, the work examines the potential of Weibo check-in data in London for offering greater insights into the spatial travel patterns of urban tourists from China. Then, AirDNA and Twitter datasets are used in conjunction with tourism surveys and statistics in London to model the small area tourist population maps of different tourist types and generate tourist demand estimates. Finally, Foursquare datasets are utilised to inform tourist grocery travel behaviour and help to calibrate the retail location model. The tourist travel patterns extracted from various LBSN data, at both individual and collective levels, offer tremendous value to assist the construction and calibration of spatial modelling techniques. In this case, the emphasis is on improving retail location spatial Interaction Models (SIMs) within grocery retailing. These models have seen much recent work to add non-residential demand, but demand from urban tourism has yet to be included. The additional tourist demand layer generated in this thesis is incorporated into a new custom-built SIM to assess the impacts of urban tourism on the local grocery sector and support current store operations and trading potential evaluations of future investments

Theory and Applications for Advanced Text Mining

Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields

Toward a Blue Economy : A Pathway for Sustainable Growth in Bangladesh

This report aims to synthesize the current theory and practice of the blue economy concept to govern economic activity linked to the ocean, and to provide a framework for the Government of Bangladesh to analyze its potential. With the peaceful resolution of maritime boundary disputes with its neighbors in 2012 and 2014, the Government has recently defined the ocean space under its jurisdiction and prioritized its use as a key source of future economic growth. The Government has prioritized the use of these spaces as a key source of future growth. However, a number of questions remain in embarking on a policy planning process to achieve Bangladesh’s blue economy aspirations, including measures of the current economic uses of the ocean space, the identification of clear targets for sustainable growth of the use of this space, and a policy pathway to get there. Described as an economic frontier, the term “ocean economy” applies collectively to ocean based industry activities and the assets, goods, and services of marine ecosystems. Ocean ecosystems provide the natural capital inputs that combine with produced and human capital to underpin the ocean economy.The concept of a “blue economy” emerged in 2012 as countries around the world have grappled with the twin trends of accelerating growth in the ocean economy and change in the underlying ecosystems. A “blue economy” aims for a balance between economic opportunities and the environmental limitations of using the ocean to generate wealth. Few documents exist to describe how countries can transition their ocean economies toward a blue economy, despite much discussion since 2012. This report fills that gap by offering a conceptual framework to guide policy-makers in Bangladesh in proposing specific reforms, by illustrating the economic activities of the ocean economy together with the underlying natural capital, as well as other types of capital. The framework suggests entry points for policy reforms to change the flow of inputs from ocean ecosystems to the ocean economy over time, or conversely to reduce outputs from economic activity (such as pollution) that may impact the functioning of ocean ecosystems. The report also synthesizes principles that may help guide such policy reforms. Most importantly, the report summarizes the information base needed for the Government of Bangladesh to set realistic targets for a blue economy development pathway and monitor progress

Contingent valuation of Yangtze finless porpoises in Poyang Lake, China

Yangtze finless porpoises (YFPs) are the only fresh-water adapted porpoises in the world and they are endemic to Yangtze River system, including Poyang Lake. They are threatened by many factors, such as illegal fishing and overfishing, sand dredging, intensive shipping traffic, and pollution from agriculture and industry. Consequently, their population is decreasing at a great rate and they are listed as an endangered rare species on the red list of the International Union for Conservation of Nature (IUCN) since 1996. Moreover, a hydroelectricity project in Poyang Lake is in planning by the state of Jiangxi province, which will generate further serious threats to YFPs by cutting off their migration route and fragmenting their habitat. Therefore, it is very urgent to take some protection measures for YFPs. A special nature reserve is one possibility to protect YFPs, such as a nature reserve area, which is located in Poyang Lake. In order to find out whether a nature reserve is worthwhile, an economic analysis valuing the benefit of YFPs has been conducted. An appropriate method, the contingent valuation approach, has been chosen. The overall aim of such a contingent valuation study is to estimate the total benefits of YFPs by asking individuals’ willingness to pay for the porpoise conservation project. Because many people are unfamiliar with YFPs and the species’ total values consist of mainly non-use values, preference construction and estimating a demand function is a complex task. Therefore, the valuation workshop method, a group-based approach, which can make respondents motivated and well-informed so that they thoroughly consider the questions, provides a realistic decision-making environment. This method was selected to help respondents construct their preference. Within this study, a series of such valuation workshops were successfully organized and data and information were collected. The findings of the study have both methodological and policy-related implications. From the perspective of methodology, the important findings include: 1) Valid response rates are high enough to support further analysis and large mean WTP for porpoise conservation are obtained. Therefore, it can be concluded that the valuation workshop method as has been chosen in this study, is suitable for valuing porpoise conservation. The valuation workshop method can make people well informed about environmental goods and services, such as rare species, so that they can build their preference about them, which is quite a complex task for many individuals. IV 2) Distance effects are verified to fail to work on willingness to pay (WTP) for porpoise conservation, which is mostly driven by non-use values. Therefore, distance need not be included in the aggregation analysis of total benefits of YFPs. Similarly, the market for conservation of YFPs can be defined as the nation of China. And the sampling frame of such an evaluation of a rare species can be all the Chinese population. 3) Income effects are confirmed to be significantly influential for both Chinese respondents and German respondents. Hence, the aggregation of total values of YFPs should consider about individuals’ income levels and their ability to pay (ATP). It is inferred from the fact of smaller mean WTP in China as compared with Germany that some low-income respondents’ WTP bids are possibly distorted by their ATP, which needs further confirmation in follow-up research. In addition, there are also some policy-related implications, which are closely related with the mentioned methodological aspect: The total economic values of porpoise conservation are predicted to be appreciably huge. Definitely, their total benefits should be taken into account by politicians and decision-makers. This study makes explicit people’s attitudes and preference on the trade-off between economic growth and ecological use. The establishment of a special nature reserve for YFPs is still an open question