Curb parking pricing method based on parking choice behavior

In order to improve the use efficiency of curb parking, a reasonable curb parking pricing is evaluated by considering individual parking choice behavior. The parking choice behavior is analyzed from micro-aspects, and the choice behavior utility function is established combining trip time, search time, waiting time, access time and parking fee. By the utility function, a probit-based parking choice behavior model is constructed. On the basis of these, the curb parking pricing model is deduced by considering the constrained conditions, and an incremental assignment algorithm of the model is also designed. Finally, the model is applied to the parking planning of Tongling city. It is pointed out that the average parking time of curb parking decreases 34%, and the average turnover rate increases 67% under the computed parking price system. The results show that the model can optimize the utilization of static traffic facilities.

Factors Influence Hanoians’ Choice of Non-Motorized Transport Mode to Access Bus Stations

Hanoi’s rapid urbanization has led to a surge in private vehicle ownership, particularly motorcycles, amidst inadequate public transportation infrastructure. Despite government efforts, many still prefer motorized transport, citing mobility and safety concerns, exacerbated by insufficient pedestrian infrastructure. This study examines the motivations behind this reliance on motorized vehicles, particularly motorcycles, in Hanoi. Findings reveal safety and convenience as primary factors driving motorized transport use, especially for accessing bus stations. Economic incentives could promote non-motorized travel and public transport adoption. Policy implications highlight the importance of addressing economic factors and improving access infrastructure to manage motorized vehicle reliance and foster sustainable urban mobility in Hanoi.

The Influence of Social Media on College Choice among Undergraduates Majoring in Big Data Management and Application in China:Taking Guilin University of Electronic Technology as an Example

This study aims to investigate the influence of social media on college choice among undergraduates majoring in Big Data Management and Application in China.The study attempts to reveal how information on social media platforms such as Weibo,WeChat,and Zhihu influences the cognition and choice process of prospective students.By employing an online quantitative survey questionnaire,data were collected from the 2022 and 2023 classes of new students majoring in Big Data Management and Application at Guilin University of Electronic Technology.The aim was to evaluate the role of social media in their college choice process and understand the features and information that most attract prospective students.Social media has become a key factor influencing the college choice decision-making of undergraduates majoring in Big Data Management and Application in China.Students tend to obtain school information through social media platforms and use this information as an important reference in their decision-making process.Higher education institutions should strengthen their social media information dissemination,providing accurate,timely,and attractive information.It is also necessary to ensure effective management of social media platforms,maintain a positive reputation for the school on social media,and increase the interest and trust of prospective students.Simultaneously,educational decision-makers should consider incorporating social media analysis into their recruitment strategies to better attract new student enrollment.This study provides a new perspective for understanding higher education choice behavior in the digital age,particularly by revealing the importance of social media in the educational decision-making process.This has important practical and theoretical implications for higher education institutions,policymakers,and social media platform operators.

Pedestrian choice behavior analysis and simulation of vertical walking facilities in transfer station

Considering the interlayer height, luggage, the difference between queuing pedestrians, and walking speed, the pedestrian choice model of vertical walking facilities is established based on a support vector machine. This model is verified with the pedestrian flow data of Changchun light-rail transfer station and Beijing Xizhimen transfer station. Adding the pedestrian choice model of vertical walking facilities into the pedestrian simulation model which is based on cellular automata, the pedestrian choice behavior is simulated. In the simulation, the effects of the dynamic influence factors are analyzed. To reduce the conflicts between pedestrians in opposite directions, the layout of vertical walking facilities is improved. The simulations indicate that the improved layout of vertical walking facilities can improve the efficiency of pedestrians passing.

Research on Online Education Consumer Choice Behavior Path Based on Informatization

The application of information and communications technology(ICT)in the education industry is becoming more and more extensive,and online education realized through ICT is developing in full swing.The influence of ICT on online education consumer's choice behavior is the core issue of online education industry development research.The research on the interactive path and methods of information and online education consumer choice behavior is worth exploring and revealing.This study introduces the word-of-mouth factor as a new research variable under the framework of the Rational Choice Theory model(RCT)and the structural equation method to conduct empirical research and theoretical analysis to verify the validity of the hypothesis and model.The fifthGeneration mobile communication system(5 G)analyses the factors affecting online education consumer behavior choices based on the premise of ICT.Research on the path between ICT and choice behavior provides new ideas for online education consumer choice behavior research and ICT and content and provides a new scenario.This article is a cross-disciplinary research content in theory,and its innovation opens up a new path for the management of ICT research.The research results have innovative significance and value at both the theoretical and practical levels.

Passenger Perceptions and Choice Behavior of National,Low Cost and Foreign Carriers:A Case Study on Incheon International Airport

Recently,the LCCs(low cost carriers)using ICN(Incheon International Airport)as a hub have increased their international routes.In addition,foreign nationality airlines,including Middle Eastern carriers,have gradually increased their operations at ICN.This growth in carrier services has resulted in a more competitive market environment,and reasonable resource assignment has become an important issue for airport operators.Moreover,the airport will open a new terminal—T2(terminal 2)in early 2018,and carriers will need to adjust their operations reflecting the utilization of newly assigned facilities.Motivated by this change,we investigate the differentiation of airport service perception as well as airline choice behavior by passenger groups at ICN.This paper employs a MNL(multinomial logit)model as well as a SEM(structural equation model).The results indicate that airline gate allocation is a significantly important value for passengers in terms of airport service perception and choice behavior.Passenger perception and choice behavior differ according to the selected carrier.This study concludes that it is significantly important to consider the characteristics of passenger perception and choice behavior to improve airport operational efficiency,particularly with respect to carrier facility assignment.

Passenger Choice Behavior between Direct and Transit Flights——A Case Study on Passengers Using Hub Airports in the Northeast Asian Region

This study analyzes air passenger route choice behavior for long-haul inter-continental travel. It employs the SP （state preference） technique and logit modeling to investigate the impact of route development via neighboring countries in the region. With the Japanese government pursuing an increase in international routes at Haneda International Airport, and the Chinese government planning to construct Beijing Capital Second International Airport by 2019, the competition among airports to serve as hubs in Northeast Asia will increase significantly. Korean passengers will have a greater number of route choices when traveling to North America or Europe, utilizing not only direct flights from Incheon International Airport but also flights via Tokyo or Beijing area airports including Haneda International Airport, Narita International Airport, Beijing Capital International Airport and Beijing Capital Second International Airport. Accordingly, passengers will choose among the alternatives by considering fares and flight times. As such, it is essential for airports to offer flights with competitive prices for transit passengers to become successful competitive airports in the region. Therefore, it will become more important for market decision makers to strive toward more attractive ticket prices and better route network quality.

农户经济视角下的我国农村土地流转影响因素——基于Multiple Choice Model的调查研究

利用农户土地流转问卷调查所得到的微观数据,采用统计分析、Probit multiple choicemodel方法,将农户经济行为中的保障性行为、投资行为、就业行为和产业选择行为引入土地流转的实证研究领域。研究结果显示:目前的土地流转多为暂时性流转,土地流转结构性供需矛盾严重;农户对土地的需求目的更多来自于保障性需要;农户的投资行为、就业行为、社会保障行为对土地流转有着重要影响。

Investigation on the Concurrent-Business Behavior of Peasant Households during the Planting Structure Adjustment in Karst Mountainous Area

Based on the survey data of 150 peasant households in typical Karst mountainous area in the year 2009, causations, characteristics and influence factors of the concurrent-business behavior of peasant households during planting structure adjustment are analyzed. Result shows that there is significant positive correlation between the concurrent-business income and the household income of farmers. And the concurrent-business behavior has the tendency to be popular among the young farmers with the characteristics of relative concentration, strong will of farmers and the significant impact of education degree on the concurrent-business income. Information, capital, skill, and market awareness are the main factors affecting the concurrent-business behavior of peasant households. Countermeasures to optimize the concurrent-business behavior of peasant households are put forward, such as strengthening the skills training for farmers to improve the cultural quality of peasant households, establishing modern rural financial service system to offer capital support for the development of peasant households, setting up information base of rural labor force to provide more information and channels for the concurrent-business behavior of peasant households, and enhancing the cultivation of farmers' market awareness to improve their ability to adapt to market economy.

Tour Level Mode Choice Analysis of Madison Area in Wisconsin

This study is to investigate what factors and how they affect tours (trip chains) behavior. The key issue is the understanding and definition of tour and tour level mode. Also, these definitions should fit for the data. A semi-home based tour definition is stated, and a competing mode based tour mode is defined. Based on the definition, this study used Madison Area Data from National Household Survey to estimate a MNL structured model. It is found that travel distance could be a positive factor for car mode. Meanwhile, the number of trips is also a positive factor for choosing car.

Transportation Users’ Attitudes and Choices of Ride-Hailing Services in Two Cities with Different Attributes

The rapid technological developments in the 21st century created new opportunities for shared-use economy applications around the globe. Among other services, Transportation Network Companies (TNCs) like Uber and Lyft emerged in the US as a transportation alternative that offered a higher level of availability, reliability, and convenience than traditional modes. However, TNCs deployment was also blamed for increases in vehicle miles traveled (VMT) in large cities that embraced TNC services early on. Concerns about TNC adoption are also magnified by the current controversy in policy and legislation as to the regulation of TNCs. These new realizations create a need to examine the transportation users’ attitudes and perceptions regarding ride-hailing service, after nearly a decade of service in the Unites States market. In doing so, this paper compares and contrasts results from two recently completed studies aiming at creating links between socio-demographic factors and TNC use. The paper describes the methods employed to collect the data and presents findings from the analysis of 790 users’ responses in the Birmingham, AL and Miami Beach, FL markets. The study documents preferences and attitudes toward TNCs and highlights similarities and differences in travel behaviors related to local considerations. Moreover, the study uses the Least Absolute Shrinkage and Selection Operator (Lasso) method to identify predictors for TNC use based on the users’ responses in Birmingham and Miami Beach case studies. Vehicle availability and waiting time emerged as the only significant predictors for the Birmingham region whereas vehicle ownership, vehicle use, residency, and prior use of transit and TNC where some of the predictors identified for the Miami Beach area. Understanding the characteristics of TNC users and the leading reasons that drive people towards the use of TNCs services is expected to help transportation agencies and TNC providers in their efforts to plan for transportation services that meet customer needs in the future.

Means of Choice for Interactive Management of Dynamic Geometry Problems Based on Instrumented Behaviour

Our paper presents a project that involves two research questions: does the choice of a related problem by the tutorial system allow the problem solving process which is blocked for the student to be restarted? What information about learning do related problems returned by the system provide us? We answer the first question according to the didactic engineering, whose mode of validation is internal and based on the confrontation between an a priori analysis and an a posteriori analysis that relies on data from experiments in schools. We consider the student as a subject whose adaptation processes are conditioned by the problem and the possible interactions with the computer environment, and also by his knowledge, usually implicit, of the institutional norms that condition his relationship with geometry. Choosing a set of good problems within the system is therefore an essential element of the learning model. Since the source of a problem depends on the student’s actions with the computer tool, it is necessary to wait and see what are the related to problems that are returned to him before being able to identify patterns and assess the learning. With the simultaneity of collecting and analysing interactions in each class, we answer the second question according to a grounded theory analysis. By approaching the problems posed by the system and the designs in play at learning blockages, our analysis links the characteristics of problems to the design components in order to theorize on the decisional, epistemological, representational, didactic and instrumental aspects of the subject-milieu system in interaction.

Research on Reclaimed Land Quality Based on Peasant Households' Behaviors——A Case of the Reclaimed Land in Liuxin Country,Xuzhou,China

The quality of reclaimed land not only relates to the way of reclamation,but also has close relations to farmers' living standard and households' behaviors.Taking the farmland in the reclamation region of the Liuxin County,Tongshan Town,Xuzhou as the survey objects,we conduct a survey on peasant households in the reclamation region by the way of questionnaire.The data collected from the survey are analyzed by using scientific statistical methods,including SPSS software and Excel.The results show that in the investigation of peasant households' perceptual knowledge towards the quality of reclaimed land,42.5% of them holds the satisfactory and extremely satisfactory attitudes,which take relatively high percentage.As a result of the increase of non-agricultural income,6% of peasant households are indifferent to the quality of the reclaimed land.During the investigation of peasant households' rational knowledge towards the quality of the reclaimed land,the nitrogen content and organic content in soil filled by pulverized fuel ash are significantly lower than that in the soil filled by coal gangue and that in soil in the contrast area.The current production and planting pattern of peasant households has not improved the quality of farmland in the reclaimed area effectively and most peasant households still use the traditional way of cultivating.Hence,it is necessary to strengthen the guide on the thought patterns of peasant households,to cultivate scientifically and to enhance the quality of reclaimed farmland.The yields of the reclaimed farmland are low in the primary year,but with the increases of input and the restoration of the land,the annual yields will increase gradually,and gradually approaches to the usual yields.Based on it,the corresponding countermeasures are put forward:for one thing,improving soil alkalescency and enhancing soil fertility;for another thing,attaching much attention to technological directions,scientific cultivation and carry out the standards of reclamation strictly.

Coherent Neuron Activity in Frontal Cortex, n. Accumbens and dorsomedial Striatum during Impulsive and Self-control Behavior in Cats

Cats placed in the situation of a choosing between a high-value time-delayed and a low-value immediate food rewards elected to wait for the preferred reward or to obtain the worse reward quickly. On the basis of the selected behavior strategy the cats were classified into three groups - self-control ones, choosing predominantly a delayed high-value food reward, impulsive, choosing predominantly an immediate low-value food reward, and ambivalent - with mixed types of reactions. The correlated firing between simultaneously recorded neurons in prefrontal cortex (PFC), n. accumbens (NAcb) and dorsomedial striatum (DMStr) during choice behavior task was studied. It was revealed that a total number of NAcb functional neuron interactions at cats showing self-control reactions exceeded that of observed at ambivalent and impulsive cats. The number of PFC and DMStr functional correlated firing at impulsive and ambivalent cats was more significant than at cats capable to self-control. Observed correlated firing between PFC and NAcb neurons (fronto-accumbal interactions) progressively increased with the shift of behavior to impulsiveness and decreased with self-control behavior. Our results demonstrate that performance of impulsive and self-control behavior alters the correlation structure of neural firing in PFC, NAcb, DMStr and suggest the key role of local PFC, NAcb, DMStr networks in realization of choice behavior.

Hanoi Public TransportmTransformation by Management Using Action Research and Behavior Setting Theory

After the economic reforms in Vietnam, the number of motorbikes surged while public transport lost its passengers. No funds for investment available TRAMOC （Transport Management and Operation Centre）, the Transport Management and Operation Center started the experiment of transforming Hanoi Public Transport by management based on action research, introducing some interventions, which had shown to be effective in Europe. Phase I of the experimental approach was carried out with the smallest company that operated Line 32. The number of daily passengers surged from 1,700 to 8,000. In Phase II, the experiment was extended to the whole net. In 2001, there were 35,000 passengers per day, in 2010, there were 1 million; this is an increase of 3,000%. The result surpassed by far the expectations. The key for understanding the surprising results is the mode choice. 53% of the users are riders by choice; they have access to a car or motorbike. Simulation of the decisions as rational choice based on time needed for trips was proved to be quite accurate. Behavior was analyzed in the frame of behavior setting theory, which brings together urban structure and the design of the transport system. Success with introducing public transport needs a self-reliant leadership, which works with people in their real life situation. An urban transport system is part of the organized behavior of the people, who make use of the technical opportunities offered.

基于前景理论的疫后旅游景区交通方式选择行为

基于有限理性的前景理论构建了旅客出行方式选择模型,通过对某景区旅游者的个人信息、出行基本情况以及出行意向进行了调查分析,揭示出其出行行为的特点。并且进一步运用前景理论研究旅游者的出行方式选择行为,在完全理性和有限理性的条件下分别计算了各异质类旅客对不同客运方式的模糊选择概率。在此基础上,建立了基于有限理性作用下旅客个体出行决策的模型,得出了各异质类旅客对不同客运方式的出行偏好。通过比较不同类型旅客的出行偏好,可分析出高收入和务工旅客更倾向于驾车出行,而学生游客更倾向于乘坐大巴。相关研究的结论对于旅游景区周边交通设施的规划和建设有一定的指导意义,可更好地服务和满足游客的出行需求。

基于出行选择的旅客联程运输服务定价

在多模式运输竞争条件下,将旅客联程运输看作一个由多个任意运输方式联合提供服务的独立运营商参与市场竞争,并通过设立旅客满意度参数量化联程运输特有属性对旅客出行选择的影响,构建同时考虑旅客出行选择和运营商收益的“一票制”联运双层定价模型。针对下层模型中旅客出行选择参数标定需要大量数据,而联程运输处于初步发展阶段,存在缺乏相关数据的现实矛盾,通过运用层次分析法对相关因素的重要性程度进行标定。针对双层模型求解NP难问题,采用灵敏度分析法对模型求解过程进行简化。并以空铁联运为例对算法的有效性进行验证,结果表明:该定价模型可提升通道内总客流量,促进旅客出行,比补贴式定价有更强的可操作性和可持续性。

考虑心理因素的旅游景区停车泊位预约选择行为研究

以自驾前往景区的游客为研究对象,基于计划行为理论,研究心理潜变量对其预约停车位意向的影响机理。在行为模型中引入感知风险变量,构建景区游客停车预约参与意向的结构方程模型,探究态度、主观规范、知觉行为控制及感知风险对游客预约停车行为意向的影响,利用问卷调查数据进行实证分析。研究结果表明,态度、主观规范、知觉行为控制和感知风险对游客参与景区停车位预约的意向影响显著,其中态度变量是关键因素且影响最大,感知风险对游客参与景区停车泊位预约的意向有显著负效应。研究结果可为景区停车泊位预约机制的制定及完善提供参考依据。

不确定环境下收费与信息对路径选择行为影响的实验研究

在不确定环境下考虑信息发布与拥挤收费两种措施,基于交通网络均衡,推导了两路径简单路网的最优收费模型,并推广至一般路网。基于两路径路网设计逐日路径选择行为实验,分析了两种措施对路径选择行为的影响。结果表明:完美信息与收费的实施均能减少流量波动,单独实施收费的效果最佳,但只有两种措施相结合时,路网流量趋于用户均衡的趋势最稳定;完美信息会增加路径切换行为,而收费可有效抑制大幅的路径切换;无收费时路径切换往往会造成出行成本增加,而收费时则相反;收费与信息结合时的出行时间比两种措施单独实施时小。

拥挤信息下基于Logit模型的公共交通 方式选择行为研究

人们对出行方式的舒适性要求越来越高,出行信息能为出行者提供有效帮助。采用正交试验对公共交通方式选择特性变量进行情景组合设计,并结合公共交通出行特征进行问卷调查设计,对提供拥挤信息条件下出行者对公共交通方式选择意愿进行调查,据此建立公共交通方式选择Logit模型。结果表明,拥挤信息对公共交通方式选择有显著影响,对公交出行选择影响较大。