Factors that affect travel behaviour in developing cities: A methodological review

Mwale, Moses; Luke, Rose; Pisa, Noleen

doi:10.1016/j.trip.2022.100683

Cited by 17 publications

(12 citation statements)

References 38 publications

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“…This finding is consistent with previous research by Saelens et al (2003) and Humpel et al (2004) [49,50], which observed that mixed-use areas with good PT connectivity and suitable walking environments could promote the use of public transport [3][4][5]. Wets and Zwerts (2006) and Mwale et al (2022) [51,52] have reported that higherincome households exhibit a preference for using PMVs during their trips, a trend also observed in the PMA. Specifically, households earning more than €2600 per month have a 70% lower probability of using PT than households with earnings ranging between €601 and €1500 per month (category of reference).…”

Section: Resultssupporting

confidence: 90%

Public Transport Usage and Perceived Service Quality in a Large Metropolitan Area: The Case of Porto

et al. 2023

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Using public transport as an alternative to private motorized vehicles (PMVs) is becoming increasingly popular in many cities worldwide. To understand what incentives and enhancements are necessary to attract and retain more passengers, a comprehensive understanding of the quality of public transport services is essential. This study aims to broaden the existing literature on the knowledge of public transport services in a large, heterogeneous metropolitan area. A cross-examination between a binary and an ordinal logit model is proposed, using data from a mobility survey in the Porto Metropolitan Area (PMA) in Portugal. The results show that households use PMVs mainly for speed (58.8%), comfort (49.3%), and lack of public transport to the destination (35.7%). Households using public transport cite not driving/owning a PMV (52.6%), lack of alternative transport modes (49.1%), and service cost (38.2%) as primary reasons. The perceived service quality (PSQ) within the PMA exhibits variance on multiple levels, depending on the characteristics of the household and the municipality’s location. This study provides policymakers of different cities in the PMA with insight into what incentives would most effectively increase the PSQ and, in turn, attract more passengers. This insight would be valuable in developing strategies to improve public transport usage and reduce PMV usage in the PMA. Adopting these strategies will contribute to reducing environmental impact and reducing traffic congestion.

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Section: Resultssupporting

confidence: 90%

Public Transport Usage and Perceived Service Quality in a Large Metropolitan Area: The Case of Porto

et al. 2023

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“…Perhaps females like to watch films more than males and would like to visit those filming spots to relive the film scenes. The result is consistent with the study of Saito et al (2015) indicating that men were more prone to participating in outdoor activities, that of Mwale et al (2022) indicating that males generally tend to undertake more work and school trips than females, and that of Prajapati & Khan (2022) indicating that women are less mobile and travel for shorter distances than male. Additionally, Mackett (2021) demonstrated that a higher proportion of females, compared to males, experienced significant anxieties during travel, including a need for support, way-finding concerns, interactions with fellow travelers, and worries about transportation failures such as buses, trains, or cars.…”

Section: Inferential Statisticssupporting

confidence: 92%

“…Travel is a kind of outdoor leisure activities which may mitigate depressive symptoms (Morgan et al, 2021) because travel brings happiness and relaxation to us. Travel behavior is associated with many factors like age (Mwale et al, 2022;Siren & Haustein, 2013), gender…”

Section: Literature Reviewmentioning

confidence: 99%

“…Some studies have found that age significantly affected the perceived image of tourist destinations (Baloglu & McCleary, 1999;Chen & Kerstetter, 1999;Jönsson & Devonish, 2008). For example, Mwale et al (2022) showed that older people are more likely to undertake primary discretionary trips than young people (Jönsson & Devonish, 2008;Tembe, 2019); age of a tourist had a significant effect on cultural motivations and relaxation-based motivations (Jönsson & Devonish, 2008), and the built environment attributes have non-linear associations with active travel time among older people (Yang et al, 2022). However, some studies found that age of a tourist had no significant influence on travel motivations (Andreu et al, 2006).…”

Section: Age and Travel Intentionmentioning

confidence: 99%

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The Study of Travel Intention after Easing Coronavirus Restrictions—A Case Study in Taiwan

Li,

Hsieh,

2024

IJLD

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The Coronavirus has significantly influenced the lives of most people in the world. Coronavirus lockdown extended to the globe. Travel plays an essential role for many people’s lives. However, travel became a dream during COVID-19 pandemic because the global lockdowns have continued for more than three years. Fortunately, global lockdowns have been lifted gradually since 2022. This study aimed to explore the travel intentions of people in Taiwan after the easing of coronavirus restrictions. An online survey was carried out to investigate Taiwanese people’s travel intention after COVID-19 pandemic. The researchers designed a travel intention questionnaire and analysed the data by SPSS 23.0. Descriptive analysis, as well as chi-square and ANOVA tests, were employed to examine variability among the subjects. The study comprised 587 valid samples. The researchers identified statistically significant associations between age, gender, occupation, travel length, travel frequency, travel partner, and travel intention after the lifting of lockdowns.

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“…In general, external transportation facility services and financial and insurance services ranked in the top two in terms of influence intensity, followed by healthcare services and catering services. Other studies have also demonstrated that these factors are key in influencing residents' travel behavior [36][37][38]. Figure 4 presents the local R 2 values of the Geographically Weighted Regression (GWR) model fits for Beijing, Shanghai, Shenzhen, and Wuhan, focusing on the lower quartile, median, and upper quartile for visualization.…”

Section: Trajectory and Urban Morphology Model Analysismentioning

confidence: 99%

Travel Characteristics of Urban Residents Based on Taxi Trajectories in China: Beijing, Shanghai, Shenzhen, and Wuhan

Chang,

Chen,

et al. 2024

Sustainability

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With the advancement of urban modernization, more and more residents are flocking to large cities, leading to problems such as severe traffic congestion, uneven distribution of spatial resources, and deterioration of the urban environment. These challenges pose a serious threat to the coordinated development of cities. In order to better understand the travel behavior of metropolitan residents and provide valuable insights for urban planning, this study utilizes taxi trajectory data from the central areas of Beijing, Shanghai, Shenzhen, and Wuhan. First, the relationship between daytime taxi drop-off points and urban amenities is explored using Ordinary Least Squares (OLS). Subsequently, Geographically Weighted Regression (GWR) techniques were applied to identify spatial differences in these urban drivers. The results show that commonalities emerge across the four cities in the interaction between external transport stops and commercial areas. In addition, the average daily travel patterns of residents in these four cities show a trend of “three peaks and three valleys”, indicating the commonality of travel behavior. In summary, this study explores the travel characteristics of urban residents, which can help urban planners understand travel patterns more effectively. This is crucial for the strategic allocation of transport resources across regions, the promotion of sustainable urban transport, and the reduction in carbon emissions.

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Factors that affect travel behaviour in developing cities: A methodological review

Cited by 17 publications

References 38 publications

Public Transport Usage and Perceived Service Quality in a Large Metropolitan Area: The Case of Porto

Public Transport Usage and Perceived Service Quality in a Large Metropolitan Area: The Case of Porto

The Study of Travel Intention after Easing Coronavirus Restrictions—A Case Study in Taiwan

Travel Characteristics of Urban Residents Based on Taxi Trajectories in China: Beijing, Shanghai, Shenzhen, and Wuhan

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