Multiperiod Hierarchical Location Problem of Transit Hub in Urban Agglomeration Area

Li, Tingting; Song, Rui; He, Shiwei; Bi, Mingkai; Yin, Weichuan; Zhang, Yingqun

doi:10.1155/2017/7189060

Cited by 8 publications

(9 citation statements)

References 26 publications

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“…The integration of time series of satellite images and conventional census-based measurements reveals new ways of monitoring urban development, offering continuous and calibrated measurements of city brightness. Combined with temporally consistent variables, this work also offers valuable input toward local urban planning, such as resources allocation and public transportation networking [ 51 ]. Furthermore, given the nature of satellite-derived data, such information is also highly comparable for large-scale cross-city comparison studies.…”

Section: Discussionmentioning

confidence: 99%

Bright lights, big city: Causal effects of population and GDP on urban brightness

Coops

2018

PLoS ONE

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Cities are arguably both the cause, and answer, to societies’ current sustainability issues. Urbanization is the interplay between a city’s physical growth and its socio-economic development, both of which consume a substantial amount of energy and resources. Knowledge of the underlying driver(s) of urban expansion facilitates not only academic research but, more importantly, bridges the gap between science, policy drafting, and practical urban management. An increasing number of researchers are recognizing the benefits of innovative remotely sensed datasets, such as nighttime lights data (NTL), as a proxy to map urbanization and subsequently examine the driving socio-economic variables in cities. We further these approaches, by taking a trans-pacific view, and examine how an array of socio-economic ind0icators of 25 culturally and economically important urban hubs relate to long term patterns in NTL for the past 21 years. We undertake a classic econometric approach—panel causality tests which allow analysis of the causal relationships between NTL and socio-economic development across the region. The panel causality test results show a contrasting effect of population and gross domestic product (GDP) on NTL in fast, and slowly, changing cities. Information derived from this study quantitatively chronicles urban activities in the pan-Pacific region and potentially offers data for studies that spatially track local progress of sustainable urban development goals.

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Section: Discussionmentioning

confidence: 99%

Bright lights, big city: Causal effects of population and GDP on urban brightness

Coops

2018

PLoS ONE

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“…Li et al. (2017) study the demand change in passenger transportation due to urbanization and develop a model that they test on a transportation network in China. Gromov et al.…”

Section: Application Areasmentioning

confidence: 99%

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Orhan

Guajardo

2021

Int Trans Operational Res

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The growing availability of data coupled with advanced methods and computing power have fostered organizations to adopt business analytics in their decision‐making. Nevertheless, the application of analytics is subject to available resources and capabilities, and, therefore, differs from region to region. Developing countries in particular are exposed to circumstances that can limit the expansion of analytics within their domains. This may prohibit the acceleration of development efforts and, consequently, may result in delays in achieving the United Nations Sustainable Development Goals (UNSDGs) set for 2030. Taking this concern as a starting point, this paper provides the results of a survey on the status of analytics research in developing countries. Through a thorough review and classification of 142 articles published during 2009–2019, we characterize analytics in developing countries along three dimensions. First, we explore the mainstream methodologies appearing in the literature, which range from classic optimization techniques to more recent statistical and machine learning methods. Second, we identify 11 application areas that cover a broad range. Third, we focus on the linkages between the reviewed papers and the 17 UNSDGs. Along this dimension, we establish a connection between the literature and 13 goals, and illustrate how some of these contributions relate to some of the 169 targets set by United Nations. Goals such as gender equality are addressed to either little or no extent by the surveyed literature. Also, the survey reveals no adoption of indicators that are set to track the progress toward the targets.

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“…Karimi et al [19] designed a capacitated hub median location problem with a nested hierarchical structure and used a real-world dataset from the hub location problem corresponding to the Iranian hub airport location. Li et al [20] described a hierarchical service network with a nested structure and investigated a multi-period hierarchical location problem for a transportation hub in an urban agglomeration area. Torkestani et al [21] designed nested and non-nested networks in a capacitated hierarchical multimodal hub location problem considering multiple periods in the planning horizon.…”

Section: Hierarchical Passenger Hub Structurementioning

confidence: 99%

Hierarchical Passenger Hub Location Problem in a Megaregion Area Considering Service Availability

Yan

Zhang

Wang

2021

PROMET

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The rapid growth of the intercity travel demand has resulted in enormous pressure on the passenger transportation network in a megaregion area. Optimally locating hubs and allocating demands to hubs influence the effectiveness of a passenger transportation network. This study develops a hierarchical passenger hub location model considering the service availability of hierarchical hubs. A mixed integer linear programming formulation was developed to minimize the total cost of hub operation and transportation for multiple travel demands and determine the proportion of passengers that access hubs at each level. This model was implemented for the Wuhan metropolitan area in four different scenarios to illustrate the applicability of the model. Then, a sensitivity analysis was performed to assess the impact of changing key parameters on the model results. The results are compared to those of traditional models, and the findings demonstrate the importance of considering hub choice behavior in demand allocation.

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Multiperiod Hierarchical Location Problem of Transit Hub in Urban Agglomeration Area

Cited by 8 publications

References 26 publications

Bright lights, big city: Causal effects of population and GDP on urban brightness

Bright lights, big city: Causal effects of population and GDP on urban brightness

Analytics in developing countries: methods, applications, and the impact on the UN Sustainable Development Goals

Hierarchical Passenger Hub Location Problem in a Megaregion Area Considering Service Availability

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