Transport Geography: perspectives upon entering an accomplished research sub-discipline

Curl, Angela; Davison, Lisa

doi:10.1016/j.jtrangeo.2014.05.018

Cited by 13 publications

(5 citation statements)

References 75 publications

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“…A study on the behaviour of commuters in Hong Kong, China, found that residents prefer to choose higher-level facilities within the 30-40 min range by car [42]. This conclusion is similar to existing research, and some scholars have explored the impact of spatial attributes of the built environment around residential areas on non-commuting travel preferences and decisions [32]. The results showed that in terms of personal and family non-commuting travel willingness, the longer the travel time and distance of residents, the significantly decreasing trend of non-commuting travel willingness and frequency [35].…”

Section: Residents' Travel Time and Distance Are Significantly Affect...supporting

confidence: 79%

“…In this study, the GBDT method was used for modelling analysis. GBDT is a machine learning algorithm [32] proposed by Tianqi Chen and is a type of decision tree. In recent years, this algorithm has been widely used in research fields such as urban space contraction [34], residents' travel satisfaction [35], and social differentiation caused by spatial mismatch [33].…”

Section: Gradient Boosting Decision Tree Modelmentioning

confidence: 99%

“…Non-commuting behaviour reflects the residents' daily life and leisure transportation connections between cities, with strong subjective willingness. Non-commuting travel is an important component of urban residents' travel, and its travel time and destination are more flexible [32]. The strength of non-commuting connections between cities can fully reflect the attractiveness of the core cities' public service facilities to surrounding residents.…”

Section: Introductionmentioning

confidence: 99%

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Identification and Mechanism of Residents’ Regional Non-Commuting Flow Patterns Based on the Gradient Boosting Decision Tree Model: A Case Study of the Shanghai Metropolitan Area

Cao,

Wang,

et al. 2023

Land

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With the improvement in residents’ living standards, non-commuting has gradually become an important daily transportation behaviour for residents. The intensity of non-commuting flow can reflect the level of urban functional services and external attractiveness and can intuitively characterise the interconnection pattern and relationship among various cities within the metropolitan area. Related research is also a key topic in the fields of urban planning and transportation geography from a humanistic perspective. Taking the Shanghai Metropolitan Area as an example, this study explored the characteristics of the non-commuting flow of residents in the region and between cities and its nonlinear influencing factors with the help of the mobile phone signalling data and the gradient lifting decision tree model. Three conclusions were identified: first, non-commuting flow within each city in the metropolitan area was concentrated in the central urban area, while non-commuting flow between cities was concentrated in the central urban area of the urban border and strong core cities. Second, the built environment had a nonlinear impact on residents’ non-commuting flow. Different types of large-scale service facilities had different impact mechanisms on non-commuting flow, and public service facilities and transportation infrastructure jointly affected residents’ non-commuting flow. Third, transportation facilities had a more significant impact on the non-commuting flow between cities. Large tourism, cultural, and medical service facilities had a more significant impact on non-commuting flow within cities, with upper or lower thresholds according to the type of facility. The planning strategy needs to conduct targeted planning, regulation, and facility configuration based on the area’s actual needs. In addition, this study identified the characteristics of non-commuter flow differentiation in street towns and the nonlinear impact of the built environment.

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Section: Residents' Travel Time and Distance Are Significantly Affect...supporting

confidence: 79%

Section: Gradient Boosting Decision Tree Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification and Mechanism of Residents’ Regional Non-Commuting Flow Patterns Based on the Gradient Boosting Decision Tree Model: A Case Study of the Shanghai Metropolitan Area

Cao,

Wang,

et al. 2023

Land

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“…En la última década los sistemas de movilidad están siendo analizados desde nuevos enfoques, más allá de la tradicional concepción ingenieril de las infraestructuras y el transporte (López y Ravella, 2019). En este sentido, la geografía cobra especial relevancia al ser una disciplina que busca explicar las relaciones espaciales, siendo las redes de transporte uno de los principales soportes físicos de estas interacciones (Rodrigue, 2017), las que operan hoy en una amplia gama de escalas e, inclusive de formas superpuestas que van desde el individuo, el hogar, el barrio, la ciudad, la región, el estado y/o lo global (Curl y Davison, 2014).…”

Section: Del Transporte a La Movilidad: Vínculo Sinérgico Clave Para Comprender Las Relaciones Espaciales En La Cotidianidadunclassified

Transporte, Movilidad Y Accesibilidad: Campos Y Métodos Emergentes Para El Análisis Geográfico Contemporáneo

Salinas¹,

Rojas-Symmes²

2021

UDAVER

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El transporte, la movilidad y la accesibilidad son hoy campos relevantes para comprender la relación sinérgica que existe entre los sistemas de desplazamiento, la distribución de la oferta de bienes y servicios y los comportamientos que los ciudadanos realizan (o no) en sus territorios. El presente trabajo, a partir de una revisión bibliográfica, da cuenta de la relevancia de estos temas para disciplinas como la geografía, así como la pertinencia de los métodos para el abordaje de desafíos en el ámbito de la investigación académica, como del diseño y operación de sistemas de transporte, planes de infraestructura o instrumentos de ordenamiento territorial. De forma complementaria, el trabajo releva la nueva oportunidad de reflexionar respecto de estos campos temáticos, destacando sus tensiones, restricciones y mutaciones, a la luz de ciudades que crecen y se complejizan cada vez más rápidamente, instalando nuevos desafíos en la concreción de desarrollos urbanos más accesibles y sostenibles. Palabras clave, poner: Transporte, movilidad, accesibilidad, análisis espacial. Abstract: Transportation, mobility and accessibility are re- levant fields for understanding the synergetic be- tween travel systems, the distribution of the supply of goods and services and the behavior of citizens in their territories. This work, based on a bibliographic review, shows the relevance of these issues for disci- plines such as geography, as well as the relevance of the methods for addressing challenges in the field of academic research, such as design and operation of transportation systems, infrastructure plans or ins- truments of land use planning. Additionally, this work proposes to reflect on the- se thematic fields, highlighting their tensions, res- trictions and mutations, in view that cities grow and become increasingly complex, generating new cha- llenges in the realization of more accessible and sus- tainable urban developments. Keywords: Transportation, Mobility, Accessibility, Spatial Analysis.

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“…This dichotomy between the two approaches overlooks the potential for the adoption of pluralistic theoretical frameworks and methodologies on both sides (see, for example, Bohte, et al, 2009;Schwanen et al, 2015;Shliselberg, et al, 2020;Van der Vlugt et al, 2019). Indeed, recent work has called for a stronger dialogue between the two approaches and to leverage their mutual compatibility (Curl and Davison, 2014;Goetz et al, 2009;Hall, 2010;Van der Vlugt et al, 2019). This dissertation aims to both conceptually and empirically contribute to this dialogue.…”

Section: Theoretical Relevancementioning

confidence: 99%

The Extra Mile

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Contents 1 rural areas Table D6Sensitivity analysis of perceived accessibility determinants in rural areas using different distance decay parameters 22Chapter 1 lockdown when directed mobility was severely restricted and offset by undirected travel (Hook et al., 2021;Mokhtarian and Chen, 2004;Roth and Zahavi, 1981;Schafer and Victor, 2000). For most of human history, activities generally took place locally as everyday mobility was based on human and animal power (Pooley, 2020). From the 19th century onwards, and especially in the second half of the 20th century, a different picture emerged. Improvements in transport technologies, the massive enlargement of infrastructure and falling transport costs, not least due to cheap oil, have dramatically expanded people's travel horizons (Grübler, 2004;Kent, 2014;Metz, 2013). Unprecedented levels of personal mobility have fostered the upscaling of economic activity, with economies of scale increasingly outweighing transport costs (Fujita et al., 1999;Krugman, 1991;Vickerman et al., 1999). The increase in potential mobility has fostered suburbanization and the decentralization of economic activity within cities. This has led to the growth of employment outside urban cores but near transport infrastructure, particularly motorways (McMillen and Stefani, 2003). The more recent structural shift in developed countries towards a knowledge-based service economy has also encouraged high-density urban development fuelled by agglomeration benefits from co-location (Puga, 2010).These two trends together, of upscaling and of (sub)urban growth, have led to small local facilities in rural areas closing in favour of larger venues in more central locations at greater distances (

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Transport Geography: perspectives upon entering an accomplished research sub-discipline

Cited by 13 publications

References 75 publications

Identification and Mechanism of Residents’ Regional Non-Commuting Flow Patterns Based on the Gradient Boosting Decision Tree Model: A Case Study of the Shanghai Metropolitan Area

Identification and Mechanism of Residents’ Regional Non-Commuting Flow Patterns Based on the Gradient Boosting Decision Tree Model: A Case Study of the Shanghai Metropolitan Area

Transporte, Movilidad Y Accesibilidad: Campos Y Métodos Emergentes Para El Análisis Geográfico Contemporáneo

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