Urban heritage and cultural tourism development: a case study of Valletta’s role in Malta’s tourism

ABSTRACT

Despite significant potential for cultural tourism, the predominant form of tourism in Malta is sun and sea. This paper evaluates Malta’s potential for cultural tourism with a focus on Valletta, a fortified historic city that overlooks the Grand Harbour. Valletta’s rich urban heritage and historic narrative makes it ideal for the development of a more culture-oriented tourism. The paper explores how, over more than half a century of tourism activity in Malta, culture and heritage retained a secondary role. Since the mid-nineties, Malta’s tourism policy shifted with culture and heritage being given greater importance, even if the sun and sea tourism remained a priority. Public and private investment brought about changes in Valletta that made it more amenable to cultural activity and tourism. Although European Capital of Culture Valletta 2018 provides new opportunities for cultural tourism to Malta, it is unclear whether this will bring a lasting legacy for Malta’s tourism. This Valletta case study shows that, for destinations with an established form of tourism, the development of cultural tourism meets with difficulties, in spite the presence of a rich urban heritage.     

The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports

We empirically study passenger modal-choice behavior to access an international hub airport, by using stated preference (SP) data and by constructing a binomial logit model. We found that passenger modal choice is affected by the service level of the access modes: travel time, travel cost, waiting time, and delay cost. The results also indicate that if passengers choose access mode in advance they consider service frequency: departure timing from home, and the arrival timing at the airport. Moreover, our results indicate that travelers’ willingness to pay for saving time differs by time of a day. They are apt to pay more in the morning than in the afternoon. These outcomes must contribute to improve the access flight service from local to hub airports to handle the needs of passengers.     

Analyzing the spatial–temporal evolution of a gateway’s hinterland: A case study of Shanghai,China

This paper analyzes the spatial–temporal evolution of the attractiveness of a country’s gateway for its international trade, using Shanghai as an example. The attractiveness is regressed on the transportation facilities and geographical conditions. Seaport development is found to have a major positive impact, followed by inland waterway, highway, and airport development. These positive impacts decrease with the need for highway haulage and with the distance from Shanghai—showing an inverse U-shape distribution. Rail appears to have a U-shape distribution, implying a low application of multimodal transportation. A geographical pattern for the impacts of different transportation modes is delineated.     

Public transport modernisation and adjustment to EU accession requirements: the case of Malta’s buses

Within the context of Malta’s progress towards EU accession, this paper aims to evaluate the major factors behind, and the consequences for, the modernisation of Malta’s public transport system. In particular, the paper focuses on the nature and role of the bus system, its structural and functional challenges, and the implications of change for its role within the wider context of the islands’ growing traffic management problems. It is concluded that the major structural and organizational changes required for EU accession will need to be complemented by a strong campaign aimed at shifting modal choice.     

Visitors’ brand loyalty to a historical and cultural theme park: a case study of Hangzhou Songcheng,China

Conducting research on the factors affecting brand loyalty to theme parks is an important method for enhancing brand loyalty among tourists. This paper takes the Hangzhou Songcheng historical and cultural theme park as a case study. Hypotheses are proposed and structural equation model is constructed based on tourist perception theory. Findings show that theme park brand satisfaction is related to brand loyalty through brand attachment and historical and cultural performance. The quality of facilities and attractions has no significant correlation with perceived value and brand satisfaction. The service quality of attendants also has no significant correlation with tourist perceived value.     

Determinants of passengers’ choice of airline check-in services: A case study of American,Australian, Korean,and Taiwanese passengers

This paper investigates factors that influence whether air travelers’ choose conventional counter or self-service check-in, including kiosk and web check-in. It uses data collected from American, Australian, Korean, and Taiwanese passengers. The data suggests that a passenger’s choice of check-in service is strongly dependent on nationality and previous experiences of checking-in; i.e. a cultural bias exists in the behavior of passengers using airline check-in services. Taiwanese passengers prefer to use the conventional counter check-in service but Korean, Australian and American air travelers use more self-service check-in facilities. The analysis also highlights that passengers’ perceptions of the attributes of the check-in service significantly determine their choice of check-in option.     

Residents’ perceptions of tourism development – implications for small economies business: the case study of Ali Sadr,Iran

Ali Sadr Cave is the world's largest water cave and is a protected national heritage of Iran. This paper examines the residents’ perceptions of tourism development. In total, 250 residents of Ali Sadr village were interviewed. To improve the economic outcomes of the exchange between individuals from various cultural backgrounds, it is important to resolve the conflicts between residents and international tourists. In the management of tourism in the region, the local people who strongly support tourism development are not involved much. This paper concludes with recommendations for tourism managers to improve the economic outcomes of local people through tourism development.     

A comparative study of airport connectivity in China,Europe and US: Which network provides the best service to passengers?

This paper investigates the connectivity of the airport networks in China, Europe and US. Our aim is to analyze which network is most beneficial to final passengers in terms of travel time and which of the network features lead to such a result. A time-dependent minimum path approach is employed to calculate the minimum travel time between each pair of airports in the three networks, inclusive of flight times and waiting times in intermediate airports. We evaluate each fastest indirect connection in terms of waiting times and routing factors to consider the effect of the hubs’ coordination and locations. The Chinese network provides the quickest travels for passengers, but this performance is explained by a small number of airports per inhabitant. The US network is the most coordinated when considering indirect connections. The EU network provides the most homogeneous level of service when comparing airports of different sizes.     

A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view

In this paper a methodology for measuring transit service quality is proposed. The methodology is based on the use of both passenger perceptions and transit agency performance measures involving the main aspects characterizing a transit service. The combination of these two types of service quality measurement fulfils the need to provide a reliable as possible measurement tool of the transit performance. Considering passenger perceptions is fundamental because the customer's point of view is very relevant for evaluating the performance of a transit service. At the same time, the use of a more objective measurement provided by the transit agency can be a useful solution for obtaining a more comprehensive service quality measurement. The proposed procedure is applied to a real case study of a suburban bus line; a series of subjective and objective indicators are calculated on the basis of users’ perception about the service and measurements provided by the transit agency.     

Classification and competition analysis of air cargo logistics providers: The case of Taiwan’s high-technology industry

This paper classifies air cargo logistics providers allowing analysis of high-technology manufacturers’ choices of providers. Data are collected from high-technology manufacturers in Taiwan’s science parks. Forwarder providers are put into three categories and nested logit model are applied to explore what service performance factors influence high-technology manufacturers when selecting third party logistics providers. Delivery is found to be the most important factor. It is found, for example, that two express providers with high levels of customer satisfaction and market share could compete more effectively by exercising differential strategies.     

Optimal traffic calming: A mixed-integer bi-level programming model for locating sidewalks and crosswalks in a multimodal transportation network to maximize pedestrians’ safety and network usability

We study the effect that installing sidewalks and crosswalks, as traffic calming facilities, has on the safety and usability of a transportation network with automobile, public transit and walking as modes of transportation. A mathematical programming model is proposed for this problem whose objective is to minimize the safety hazard for pedestrians and the total transportation cost of the network. We utilize a customized greedy heuristic and a simulated annealing algorithm for solving the problem. The computational results indicate that installing sidewalks and crosswalks at proper locations can reduce the overall transportation cost and improve pedestrians’ safety.     

Micromobility evolution and expansion: Understanding how docked and dockless bikesharing models complement and compete – A case study of San Francisco

Shared micromobility – the shared use of bicycles, scooters, or other low-speed modes – is an innovative transportation strategy growing across the United States that includes various service models such as docked, dockless, and e-bike service models. This research focuses on understanding how docked bikesharing and dockless e-bikesharing models complement and compete with respect to user travel behaviors. To inform our analysis, we used two datasets from February 2018 of Ford GoBike (docked) and JUMP (dockless electric) bikesharing trips in San Francisco. We employed three methodological approaches: 1) travel behavior analysis, 2) discrete choice analysis with a destination choice model, and 3) geospatial suitability analysis based on the Spatial Temporal Economic Physiological Social (STEPS) to Transportation Equity framework. We found that dockless e-bikesharing trips were longer in distance and duration than docked trips. The average JUMP trip was about a third longer in distance and about twice as long in duration than the average GoBike trip. JUMP users were far less sensitive to estimated total elevation gain than were GoBike users, making trips with total elevation gain about three times larger than those of GoBike users, on average. The JUMP system achieved greater usage rates than GoBike, with 0.8 more daily trips per bike and 2.3 more miles traveled on each bike per day, on average. The destination choice model results suggest that JUMP users traveled to lower-density destinations, and GoBike users were largely traveling to dense employment areas. Bike rack density was a significant positive factor for JUMP users. The location of GoBike docking stations may attract users and/or be well-placed to the destination preferences of users. The STEPS-based bikeability analysis revealed opportunities for the expansion of both bikesharing systems in areas of the city where high-job density and bike facility availability converge with older resident populations.     

Space–time fixity and flexibility of daily activities and the built environment: A case study of different types of communities in Beijing suburbs

Space–time fixity constraint is an important concept in transport geography, but the influence of the built environment around both people’s residence and activity locations is not clear. Due to the housing reform and rapid suburbanization in China, various types of residential communities and diverse built environments coexist in the suburbs. Comparing how people’s space–time fixity/flexibility varies among different community types and built environments can thus enhance our understanding of the transition process in Chinese cities. This study investigates how space–time fixity/flexibility and their relationships with the built environment vary among different types of residential communities in Beijing suburbs. Activity-travel diary and 7-day GPS tracking data of 709 respondents in Shangdi-Qinghe area of Beijing collected in 2012 were used. We investigate how variations in space–time flexibility are associated with built environment factors and four different community types: danwei communities, commodity housing communities, affordable housing communities and relocated housing communities, controlling for personal, household and activity attributes. The results suggest the influences of the built environments at residential place and activity place are different, and the relationships between space–time fixity and the built environments of different community types are different. Space–time fixity is not so sensitive to the built environment for residents in danwei communities and affordable housing communities. Gender and age differences in space–time fixity are not consistent with what was observed in Western countries. This seems to reflect the influence of unique social, cultural and family norms in China.     

Millennials’ travel motivations and desired activities within destinations: A comparative study of the US and the UK

Millennials are one of the largest groups to be targeted by tourism companies. This paper compares the travel motivations of Millennials from both the United States and the United Kingdom by ratings, rankings and perceptual structures of both push and pull factors. This exploratory study used a questionnaire to examine the inner motivations (e.g. push factors) and preferred destination activities (e.g. pull factors) of American and British Millennials (n?=?322). Data analysis included the non-parametric Mann–Whitney U test, Kendall’s coefficient of concordance, an alternating least-squares algorithm (ALSCAL) model and ordinal regression. The results reveal that American and British Millennials are quite homogeneous in their push travel motivations and destination activity preferences. The most important motivational factors for both are ‘to relax’ and ‘to escape from the ordinary’. Both nationalities also agree that the most attractive destination activities are ‘to try local food’ and ‘to go sightseeing’. The findings indicate that the US and UK samples are similar and that there is room for segmentation according to demographics.     

Network concentration and airport congestion in a post de-regulation context: A case study of Brazil 2000–2010

This paper empirically investigates the main drivers of airline network concentration in an air transport market subject to rapid growth. We consider the Brazilian air transport industry of the 2000s, in which network concentration rapidly increased and was followed by a period of massive flight delays and cancelations, which resulted in the “big blackout” of 2006–2007. We develop an econometric model of network concentration, accounting for demand, cost and competition variables that may affect the propensity of carriers to concentrate flights and passenger connections on a few airports of a network. The main focus of the paper is on the relation between networks leading to the problems of the blackout episode. We investigate the dynamic pattern of the evolution of concentration before and after the abnormal period of operations and find that concentration began to rise at least six quarters before, and persisted at a high level until two quarters after the blackout – and then plunged steeply toward the end of the decade. We believe that our analysis contributes to an improved understanding of the behavior of air transport systems subject to network concentration and congestion. With respect to methodology, we suggest and employ the use of alternative measures of network concentration to check the robustness and validity of our results.     

Assessing High-Speed Rail’s impacts on land cover change in large urban areas based on spatial mixed logit methods: a case study of Madrid Atocha railway station from 1990 to 2006

This paper proposes an accessibility-based spatial mixed logit (SML) model with panel data structure to examine the impacts of High-Speed Rail (HSR) on land cover change in large urban areas. Using data between 1990 and 2006, impacts of the Spanish HSR on Madrid’s Atocha railway station influence area – a 20 km radius buffer centred on the station – were investigated. To model the HSR impacts, besides socioeconomic variables, the development of both local and regional transportation networks with corresponding accessibility improvement is also taken into account to segregate the impacts of land-cover change brought by different sources of accessibility measures. In this study, two SML models are used: one incorporates regional accessibility indicators as a base model, and the other does not, acting as a control model. The model estimation results reveal that the reduction of the local and regional weighted travel average time has positive impacts on the Atocha station catchment area’s urbanised land-cover rates. Although the base and control models both achieve high goodness-of-fit values, the base model that considers regional accessibility reveals a better goodness-of-fit statistic and is more robust than the control model. It is concluded that the improvement of regional accessibility due to the arrival of HSR at Atocha station plays an essential role in the urbanisation of land cover changes in the study area.     

Exogenous shocks and managerial preparedness: A study of U.S. airlines’ environmental scanning before the onset of the COVID-19 pandemic

Managerial preparedness is a constant concern for firm stakeholders. This concern is exacerbated during times of immense stress brought about by exogenous shocks. In this paper, we analyze the preparedness of U.S. commercial airline management teams to the largest systematic exogenous shock to date, namely the COVID-19 pandemic in 2019 and 2020. We do this by underpinning the paper with theory on environmental scanning and managerial dysfunction and then documenting the signals and actions of management around multiple public health scares. These include the SARS outbreak, the Swine Flu outbreak and the COVID-19 outbreak. Our results, based off of corporate filings with the SEC, is that airline management had multiple “dry runs” before the COVID-19 outbreak that should have lead them to prepare for financially catastrophic scenarios such as the one observed in 2020. Instead, management teams failed to learn from these, and other, prior shocks. Instead, they focused on other, less serious threats while diffusing their financial buffers through dividends and share buybacks.     

Prediction,explanation and big(ger) data: a middle way to measuring and modelling the perceived success of a volunteer tourism sustainability campaign based on ‘nudging’

The overall aim of this paper was to explore the dichotomy between explanation and prediction and to suggest that there is a middle way. Explanation has often been the domain of academics while prediction has often been the domain of businesses. The former have frequently used smaller sample sizes, the latter larger sample sizes and now increasingly data that have high volume, high velocity, and high variety, i.e. big data. These differences may place the parties at opposite ends of a spectrum which suggests that there is a middle way. This middle way uses ‘automatic linear modelling’ that can cope with big data and presents the results as visualisations. An example is outlined based on a sustainability campaign involving leaders in the context of volunteer tourism. The campaign used an informational ‘nudge’ approach. The results of the study are discussed in relation to both the application of the technique and the success of the campaign. It is pointed out that the technique is exploratory but can aid both prediction and theory building in the area of volunteer tourism and that academics must not be afraid to embrace new methods that may be less conventional but bring the universities and industry closer together.