Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia

Šveda, Martin; Madajová, Michala Sládeková

doi:10.1016/j.jtrangeo.2023.103552

Cited by 8 publications

(1 citation statement)

References 52 publications

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“…Pintér et al used mobile network data to estimate home and work locations [27] and to analyse commuting in the Budapest metropolitan area [28]. Šveda used mobile phone data to study the spatial variation of distance decay effect on movements in urban space [29]. Zhao et al used mobile phone data to study the characteristics of population mobility between cities in the Beijing-Tianjin-Hebei region of China [30].…”

Section: Introductionmentioning

confidence: 99%

Spatial Characteristics and Influencing Factors of Commuting in Central Urban Areas Using Mobile Phone Data: A Case Study of Nanning

et al. 2023

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Urban commuting characteristics have important implications for both the spatial planning and governance of cities. However, the traditional methods of surveying the characteristics of commuting are very time- and labour-intensive, with the results susceptible to subjective influences. In this work, taking the central city of Nanning as the research object, the commuting space of the population was constructed on the grid-block-subdistrict scale, and the distribution characteristics of the commuting space were systematically analysed. In addition, the influencing factors of the commuting volume were explored by combining multi-source and spatiotemporal data with a geodetector. From our analysis, it was demonstrated that the population density in the central city of Nanning showed a spatial distribution pattern of “decaying distance from the city centre”, with a weak agglomeration effect of large-scale commuters at the grid scale and a larger east-west than north-south commuter scale. At the block scale, large-scale commuters were more concentrated, and the commuting distances were shorter in areas with large commuter populations. At the subdistrict scale, the internal commuting population was also more than the cross-subdistrict commuting population, with more cross-subdistrict commuting flows and an uneven distribution of the flow sizes, with most commuters concentrating on two or three subdistricts for commuting. Various important factors that affect the size of the commuting population should be controlled, including the permanent population, residential distribution, medical facilities, recreational facilities, food services and workplace distribution; the interactions between the permanent population, the residential distribution and the house price factors have the strongest impact values. Our work provides valuable insights for the understanding of commuting patterns in cities and can be used as a scientific basis for urban spatial decision-making.

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Section: Introductionmentioning

confidence: 99%

Spatial Characteristics and Influencing Factors of Commuting in Central Urban Areas Using Mobile Phone Data: A Case Study of Nanning

et al. 2023

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Geolocation Data as a Research Tool for the Organization of the Settlement System and Mobility Mapping – Case Study of the Spatial Mobility Model in Czechia

Jaroš

2024

Communications in Computer and Information Science

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Geolocation data is a widely used source of the spatial information about the population. Their great potential might be also used for population mobility research to identify spatial interactions forming the hierarchical structure of the settlement system. For this purpose, a model of data acquisition and their preliminary analysis was developed. This model represents an effective tool for mapping the mobility behavior of the population. Using the example of Czechia, primary commuting links are identified, which are subsequently analyzed in detail using GIS tools in both desktop and online environments. Therefore, important commuting centers of different hierarchical levels are defined by the volume and nature of spatial interactions. This approach is used as a source of important expertise for the proposals on subsequent administration reform in Czechia. Nevertheless, the entire model is generally transferable, and the entire method of using the geolocation data for mapping the hierarchy within the settlement system can be replicated in other countries as well.

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Improving spatial access to healthcare facilities: an integrated approach with spatial analysis and optimization modeling

Leitch,

Wei

2024

Ann Oper Res

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Estimating distance decay of intra-urban trips using mobile phone data: The case of Bratislava, Slovakia

Cited by 8 publications

References 52 publications

Spatial Characteristics and Influencing Factors of Commuting in Central Urban Areas Using Mobile Phone Data: A Case Study of Nanning

Spatial Characteristics and Influencing Factors of Commuting in Central Urban Areas Using Mobile Phone Data: A Case Study of Nanning

Geolocation Data as a Research Tool for the Organization of the Settlement System and Mobility Mapping – Case Study of the Spatial Mobility Model in Czechia

Improving spatial access to healthcare facilities: an integrated approach with spatial analysis and optimization modeling

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