A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and adva...A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and advancing tourism. We systematically analyzed the accessibility of 56 scenic spots in Xi’an City, China, via car and public transport travel modes using the real-time travel function of the Baidu Maps API(Application Programming Interface) along with spatial analysis methods and the modal accessibility gap index of scenic spots. We obtained the following results. First, maximum and minimum travel times using public transport exceeded those using cars. Moreover, the accessibility of scenic spots via cars and public transport presented a circular spatial pattern of increasing travel time from the center to the periphery. Contrasting with travel by public transport, car travel showed a clear time-space compression effect. Second, accessibility of the scenic spots via cars and public transport showed some spatial heterogeneity, with no clear advantages of car accessibility in the central urban area. However, advantages of car accessibility were increasingly evident moving from the center to the periphery. Third, whereas the correlation of the modal accessibility gap index of scenic spots in Xi’an with global space was significantly positive, local spatial interdependence was only evident in some inner city areas and in marginal areas. Moreover, spatial heterogeneity was evident in two regions but was insignificant in other areas, indicating that the spatial interdependence of the modal accessibility gap index in most scenic spots was not apparent in terms of the overall effect of public transport routes, road networks, and the distribution of scenic spots. The improvement of public transport coverage in marginal areas and the optimization of public transport routes in central urban areas are essential tasks for improving travel using public transport in the future.展开更多
This paper aims to present the experience gathered in the Italian alpine city of Bolzano within the project“Bolzano Traffic”whose goal is the introduction of an experimental open ITS platform for local service provi...This paper aims to present the experience gathered in the Italian alpine city of Bolzano within the project“Bolzano Traffic”whose goal is the introduction of an experimental open ITS platform for local service providers,fostering the diffusion of advanced traveller information services and the future deployment of cooperative mobility systems in the region.Several end-users applications targeted to the needs of different user groups have been developed in collaboration with local companies and research centers;a partnership with the EU Co-Cities project has been activated as well.The implemented services rely on real-time travel and traffic information collected by urban traffic monitoring systems or published by local stakeholders(e.g.public transportation operators).An active involvement of end-users,who have recently started testing these demo applications for free,is actually on-going.展开更多
The period around Chinese New Year is the most active period of national popula-tion movement in China,providing a natural experiment to examine the character-istics of population flow and interregional connections.Ba...The period around Chinese New Year is the most active period of national popula-tion movement in China,providing a natural experiment to examine the character-istics of population flow and interregional connections.Based on Baidu migration big data from the 2022 and 2023 Spring Festival travel rush,this study analyses over 2.7 billion population flow records from 293 prefecture-level cities and 4 munici-palities over 80 days.From the perspectives of external connections and concentra-tion levels,this study investigates the characteristics and agglomeration features of population mobility at the provincial level.This study reveals that the average daily passenger flow during the 2023 Spring Festival travel rush significantly increased compared to 2022,and the proportion of interprovincial population flow in each province also increased,indicating a rebound in the scale and openness of popula-tion mobility after the COVID-19 pandemic.Guangdong Province is the most active in terms of population mobility,attracting both domestic and out-of-province popu-lations.Provinces with active interprovincial migration are mainly concentrated in the central and eastern regions,with all provinces in the Yangtze River Delta being major employment hubs.Interprovincial migrant populations not only have a large scale and high proportion but also diverse source regions.Central provinces such as Henan,Anhui,and Hunan are major labour exporters.Western,North,and North-east China mainly experience intraprovincial population flow,with interprovincial mobility mostly occurring within provinces in the same region.In contrast,border provinces such as Xinjiang and Tibet have smaller population flows,are less attrac-tive for populations from other provinces,and have lower proportions of local popu-lations leaving,indicating a need for enhanced external connections.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41831284,41501120)Special Scientific Research Project of Education Department of Shaanxi Provincial Government(No.18JK0649)Scientific Research Project of Xi’an International Studies University(No.18XWC24)
文摘A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and advancing tourism. We systematically analyzed the accessibility of 56 scenic spots in Xi’an City, China, via car and public transport travel modes using the real-time travel function of the Baidu Maps API(Application Programming Interface) along with spatial analysis methods and the modal accessibility gap index of scenic spots. We obtained the following results. First, maximum and minimum travel times using public transport exceeded those using cars. Moreover, the accessibility of scenic spots via cars and public transport presented a circular spatial pattern of increasing travel time from the center to the periphery. Contrasting with travel by public transport, car travel showed a clear time-space compression effect. Second, accessibility of the scenic spots via cars and public transport showed some spatial heterogeneity, with no clear advantages of car accessibility in the central urban area. However, advantages of car accessibility were increasingly evident moving from the center to the periphery. Third, whereas the correlation of the modal accessibility gap index of scenic spots in Xi’an with global space was significantly positive, local spatial interdependence was only evident in some inner city areas and in marginal areas. Moreover, spatial heterogeneity was evident in two regions but was insignificant in other areas, indicating that the spatial interdependence of the modal accessibility gap index in most scenic spots was not apparent in terms of the overall effect of public transport routes, road networks, and the distribution of scenic spots. The improvement of public transport coverage in marginal areas and the optimization of public transport routes in central urban areas are essential tasks for improving travel using public transport in the future.
文摘This paper aims to present the experience gathered in the Italian alpine city of Bolzano within the project“Bolzano Traffic”whose goal is the introduction of an experimental open ITS platform for local service providers,fostering the diffusion of advanced traveller information services and the future deployment of cooperative mobility systems in the region.Several end-users applications targeted to the needs of different user groups have been developed in collaboration with local companies and research centers;a partnership with the EU Co-Cities project has been activated as well.The implemented services rely on real-time travel and traffic information collected by urban traffic monitoring systems or published by local stakeholders(e.g.public transportation operators).An active involvement of end-users,who have recently started testing these demo applications for free,is actually on-going.
基金Major Program of National Fund of Philosophy and Social Science of China:Research on Precision Management of Public Services Driven by Big Data(Project No.:20&ZD113).
文摘The period around Chinese New Year is the most active period of national popula-tion movement in China,providing a natural experiment to examine the character-istics of population flow and interregional connections.Based on Baidu migration big data from the 2022 and 2023 Spring Festival travel rush,this study analyses over 2.7 billion population flow records from 293 prefecture-level cities and 4 munici-palities over 80 days.From the perspectives of external connections and concentra-tion levels,this study investigates the characteristics and agglomeration features of population mobility at the provincial level.This study reveals that the average daily passenger flow during the 2023 Spring Festival travel rush significantly increased compared to 2022,and the proportion of interprovincial population flow in each province also increased,indicating a rebound in the scale and openness of popula-tion mobility after the COVID-19 pandemic.Guangdong Province is the most active in terms of population mobility,attracting both domestic and out-of-province popu-lations.Provinces with active interprovincial migration are mainly concentrated in the central and eastern regions,with all provinces in the Yangtze River Delta being major employment hubs.Interprovincial migrant populations not only have a large scale and high proportion but also diverse source regions.Central provinces such as Henan,Anhui,and Hunan are major labour exporters.Western,North,and North-east China mainly experience intraprovincial population flow,with interprovincial mobility mostly occurring within provinces in the same region.In contrast,border provinces such as Xinjiang and Tibet have smaller population flows,are less attrac-tive for populations from other provinces,and have lower proportions of local popu-lations leaving,indicating a need for enhanced external connections.
