Gravity models for tourism demand: theory and use

Morley, Clive; Nadal, Jaume Rosselló; Santana-Gallego, María

doi:10.1016/j.annals.2014.05.008

Cited by 252 publications

(217 citation statements)

References 49 publications

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“…The main forces explaining tourism flows, namely, distance and population, can be incorporated into a gravity model and may be accompanied by other economic variables traditionally believed to influence patterns of tourism, such as the exchange rate, gross domestic product (GDP), and oil prices, together with environmental factors such as air quality. However, in spite of their proven suitability for the analysis of tourism demand, until very recently little use has been made of gravity models in this area (Massidda & Etzo, ; Morley, Rosselló, & Santana‐Gallego, ; Santana‐Gallego, Ledesma‐Rodríguez, & Pérez‐Rodríguez, ).…”

Section: Methodology and Datamentioning

confidence: 99%

Air pollution and tourism demand: A case study of Beijing, China

Zhou

Jiménez

Rodríguez

et al. 2019

Journal of Tourism Research

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This paper analyses the relationship between air pollution and tourism demand in Beijing. The study method is based on a gravity model, in which air quality variables are incorporated into the model of tourism demand. The results obtained show that air pollution has a negative influence on tourism flows and that this effect is more pronounced for inbound than for domestic tourism. The findings also show that a simple index such as the classification of good and bad air‐quality days is a good representation of the air pollution factors taken into account by tourists in their travel decision.

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Section: Methodology and Datamentioning

confidence: 99%

Air pollution and tourism demand: A case study of Beijing, China

Zhou

Jiménez

Rodríguez

et al. 2019

Journal of Tourism Research

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show abstract

“…The gravity model considers that the flows between countries are directly proportional to characteristics of the two countries and inversely proportional to the distance between them (Morley, Rossello, & Santana-Gallego, 2014). It focuses on the spatial interaction between origins and destinations and has been widely accepted in modeling geographical flows such as migration (Karemera, Oguledo, & Davis, 2000), transport flows (Hwang & Shiao, 2011), and international trade (Neumayer, 2011).…”

Section: Model Specification and Datamentioning

confidence: 99%

Impact of cultural distance on international destination choices: The case of Chinese outbound travelers

Lehto

2017

Journal of Tourism Research

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Given the rapid growth of China outbound market, research pertaining to the specificities of this market bears significance to destination marketers and academicians. The focus of this research is on the impact of cultural distance on outbound tourist destination choices with Chinese travelers as the case in point. Based on outbound tourism statistics of China over the 1995-2014 periods, this research has developed an inverted U-curve model to account for the relationship between cultural distance and tourists' destination choice. Results show that the optimal cultural distance for Chinese outbound tourists' destination choice is 2.8757. Through evaluating the positions, potential destinations are located relative to the optimal cultural distance. The preference tourists place on potential destinations can be measured. This research bears valuable theoretical contributions and implications for destination marketing practices.

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“…Crampon [21] firstly proposed the tourism gravity model based on Newton's law of gravitation, and held the opinion that tourism for a place depends on the population size and wealth of the tourism-generating region, the attraction of the destination, and the distance between the tourism-generating region and the destination. Scholars also support this opinion in their study of tourism demand [22,23], destination accessibility [16], and distance decay [24], and eastern European countries' potential trade [25]. The tourism gravity model is a typical paradigm to study distance decay in tourism and to analyze the corresponding influence factors.…”

Section: Discussionmentioning

confidence: 99%

Spatial Distribution Characteristics of Agritourism Consumption

Jiang

Wang

2018

Sustainability

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Agritourism is a newly developed type of tourism, which is significant in promoting the sustainable development of rural economies and ecological environments. The spatial distribution of agritourism consumption is an important basis on which to formulate an agritourism development plan. This paper introduces the concept of agritourism consumption, which is applied to develop a theoretical model of spatial distribution based on the analogy that the attraction to agritourism by urban residents is similar to the attraction among charges in physics. With this model, the spatial distribution characteristics of agritourism consumption are investigated under the superposition of multifield sources arising from metropolitan regions. The results indicate that the field strength of agritourism consumption is gradually attenuated with spatial distance. The trend that field strength under multifield sources varies with distance is generally similar to that under a single field source, but the decay rate under multifield sources tends to slow down slightly in different directions. Due to the superposition of multifield sources, the spatial distribution of field strength is no longer in a pattern of concentric circles, but an uneven distribution of contour lines. In addition, there is a positive correlation between field strength distribution and the consumption demand of agritourism.

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Gravity models for tourism demand: theory and use

Cited by 252 publications

References 49 publications

Air pollution and tourism demand: A case study of Beijing, China

Air pollution and tourism demand: A case study of Beijing, China

Impact of cultural distance on international destination choices: The case of Chinese outbound travelers

Spatial Distribution Characteristics of Agritourism Consumption

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