Fuzzy Multidimensional Assessment Approach of Travel Deprivation in Small Underdeveloped Cities: Case Study of Lhasa, China

Cheng, Gang; Jiang, Simin; Tao, Zhang

doi:10.1155/2021/8851449

Cited by 3 publications

(2 citation statements)

References 47 publications

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“…Recently, Cheng et al constructed a fuzzy multi-dimensional evaluation method of travel deprivation and evaluated residents' travel deprivation at different levels. Their work provides an effective evaluation method for the current situation of travel inequality in underdeveloped small cities [19]. Cheng et al focused on the pilgrims in Lhasa and measured the impact of their travel behavior using the multiple logit model [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Equity Assessment of Bus Travel Behavior for Pilgrimage: Evidence from Lhasa, Tibet, China

2022

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Travel equity has always been an important but difficult topic in urban traffic research, especially for different groups. Firstly, based on bus operation, this paper constructs the ride change network using the ArcGIS platform. Secondly, through network analysis and based on the transfer network, the time measurement model of bus stops and the time accessibility measurement model of the traffic zones are used to measure and analyze bus stops and traffic zones, respectively. Finally, combined with the global and local spatial autocorrelation model, the travel space allocation equilibrium of pilgrimage is quantified. This case study shows that the time accessibility index reflects the fairness of pilgrimage resource allocation well. According to the overall and local Moran’s I index, the spatial distribution of the configuration equilibrium of the traffic zone is obtained. This paper offers two contributions to the literature: an assessment of the travel fairness of pilgrimage and conclusions that fill the research gaps on the travel equity of vulnerable groups. In this paper, the spatial fairness of pilgrimage behavior is studied, which reflects the fairness and balance of the public transportation system for pilgrimage, as well as the travel fairness of pilgrimage in various regions. The presented knowledge can promote the fairness of residential travel and achieve social equity.

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Section: Literature Reviewmentioning

confidence: 99%

Spatial Equity Assessment of Bus Travel Behavior for Pilgrimage: Evidence from Lhasa, Tibet, China

2022

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“…Transport equity is not only related to an objective quantity of resources but also highly linked with an individual's perception of the transport environment. Of course, some studies use questionnaires to collect actual perceptual data of travelers [31]. e study discovered that due to the differences in traffic resource allocation, residents in different regions of a city have different perceptions of travel deprivation.…”

Section: Introductionmentioning

confidence: 99%

The Sense of Travel Deprivation and Its Impact on Travel Decision: A Case Study of China’s Rapidly Urbanizing Region

Lian

2022

Journal of Advanced Transportation

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Under the guidance of regional policy, many regions in China have recently become urbanized at an unprecedented speed. In these rapidly urbanizing regions, urban transport systems have been constructed and implemented to improve efficiency yet fail to consider transport equity. This article studies the transport equity of residents in China’s rapidly urbanizing regions and depicts the impacts on travel behavior by promoting equity in transport policies at this current stage. As an area of rapid urbanization, we chose the Chenggong district, Kunming, which was established as a new urban district in 2011. The data on travel and transport equity were collected by designing and conducting a questionnaire survey in this area. To characterize residents’ perceptions of transport equity, we defined and developed a method of measuring their sense of travel deprivation so that transport equity describes both their sense of public and private travel deprivation. We then modeled residents’ travel decision-making, which was influenced by their sense of travel deprivation. The results demonstrated that in regions of rapid urbanization, the sense of private travel deprivation was stronger than that of public transport, and private travel deprivation had a negative impact on travel frequency. Meanwhile, no significant correlation was found between the sense of public travel deprivation and travel decision-making. We propose that raising residents’ income alone will not effectively relieve their sense of travel deprivation. Our research highlights that policymakers should also carefully consider the sense of travel deprivation among the elderly in this region and the welfare of indigenous people. Expansion of private transport in this region should be conducted proactively in accordance with scientific and rational planning and management rather than through reactively increasing private transport as rapid urbanization continues.

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Analysis of bus travel characteristics and predictions of elderly passenger flow based on smart card data

Cheng

2022

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<abstract> <p>Preferential public transport policies provide an important social welfare support for travel by the elderly. However, the travel problems faced by the elderly, such as traffic congestion during peak hours, have not attracted enough attention from transportation-related departments. This study proposes a passenger flow prediction model for the elderly taking public transport and validates it using bus smart card data. The study incorporates short time series clustering (STSC) to integrate the elements of the heterogeneity of bus trips taken by the elderly, and accurately identifies the needs of elderly passengers by analysing passenger flow spatiotemporal characteristics. According to the needs and characteristics of passenger flow, a short time series clustering Seasonal Autoregressive Integrated Moving Average (STSC-SARIMA) model was constructed to predict passenger flow. The analysis of spatiotemporal travel characteristics identified three peak periods for the elderly to travel every day. The number of people traveling in the morning peak was significantly larger compared to other periods. At the same time, compared with bus lines running through central urban areas, multi-community, and densely populated areas, the passenger flow of bus lines in other areas dropped significantly. The study model was applied to Lhasa, China. The prediction results verify that the model has high prediction accuracy and applicability. In addition to the initial application, this predictive model provides new directions for bus passenger flow forecasting to support better public transport policy-making and improve elderly mobility.</p> </abstract>

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Fuzzy Multidimensional Assessment Approach of Travel Deprivation in Small Underdeveloped Cities: Case Study of Lhasa, China

Cited by 3 publications

References 47 publications

Spatial Equity Assessment of Bus Travel Behavior for Pilgrimage: Evidence from Lhasa, Tibet, China

Spatial Equity Assessment of Bus Travel Behavior for Pilgrimage: Evidence from Lhasa, Tibet, China

The Sense of Travel Deprivation and Its Impact on Travel Decision: A Case Study of China’s Rapidly Urbanizing Region

Analysis of bus travel characteristics and predictions of elderly passenger flow based on smart card data

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