Travel Options Research Articles

Intuitionistic Fuzzy Factorial Analysis Model for Supplier Selection of Urban Rail Transit Companies within a Random Environment

Facing serious environmental and traffic problems, urban rail transit companies, with the features of large capacity and high efficiency, have become an important choice for many large cities that are prioritizing public transportation and encouraging green travel options. As the construction speed of rail transit projects accelerates, the demand for materials and devices required for construction and operation is also increasing for urban rail transit companies. Therefore, the scientific selection of suppliers to meet construction and operation demands has become a problem that must be addressed. This paper presents an intuitionistic fuzzy factorial analysis model in a random environment, where correlative phenomena among each of the indicators and a random decision-making environment are considered. The evaluation indicator system of rail suppliers is established by considering the influencing factors. The extracted common factors indicate the nature of the studied object in a most direct way. The suppliers are evaluated from the perspective of the number of intuitionistic fuzzy factors and are ranked by their scores. Finally, the Tianjin urban rail transit company is used as a case study to illustrate the validity and feasibility of the method. The results can help urban rail transit companies improve their existing supplier selection method.

Do travel options influence how commute time satisfaction relates to the residential built environment?

Although previous studies have explored how satisfied people are with their travel, the link with the built environment and available travel options is unclear. This research investigates whether travel options influence how commute time satisfaction relates to the built environment. First, profiles among commuters in terms of commute time satisfaction (CTS) and residential built environment (RBE) were identified by performing a cluster analysis using a large European sample with the European Union Statistics on Income and Living Conditions (EU-SILC) 2013 survey. Following, whether travel options (mode availability) could inform differences among CTS-RBE profiles was investigated, while accounting for neighborhood characteristics and satisfaction with life and life domains, by performing logistic regression analyses. Travel options were found to indicate CTS-RBE profiles. This research supports the idea that travel options can affect the CTS-RBE relationship, and can therefore be useful to measuring and correcting travel option unavailability or travel captivity. The contributions of this study to the travel behavior field, in addition to being the first study to examine CTS, is important to urban planning and policy to not only identify the places in which travel options can be improved, but for whom.

Fostering Voluntourism Satisfaction and Future Behaviour in Island Destinations

Volunteer tourism, which is commonly referred to as voluntourism, is currently a dynamic alternative travel option with a focus on sustainable tourism. However, existing literature reveals that voluntourism activities do not meet tourists’ expectation, fail to provide experiences related to environmental issues, and thus, leads to their dissatisfaction. Realising the importance of the satisfaction of the voluntourists’ future behaviour, applying the volunteer function inventory, coupled with environmental concern, the authors aim to identify factors influencing voluntourists’ satisfaction and present the outcomes of voluntourists’ satisfaction among island visitors in Malaysia. Using a purposive sampling method, the data were collected through a survey among voluntarists in east coast island tourist destinations. A total of 278 valid questionnaires were gathered from two sessions of data collection process. Due to the model’s complexity, SEM-PLS version 3.3.2. was employed to analyse the hypotheses of the study. The results of the study revealed that career and social functions, in contrast with other variables, do not positively influence the voluntourists’ satisfaction. The continuous intention and the intention to recommend factors positively support the research model. Studies on voluntourists in Malaysian island destinations are relatively novel. Besides enriching the literature on voluntourism, which is particularly scarce especially in the Asian setting, the findings are also beneficial to local governments and voluntourism organisations to develop suitable approaches and policies to promote voluntourism in island destinations. The study is limited to the island destination setting. Future studies should focus on other destinations such as cultural and heritage sites, because these destinations have sentimental values that should be preserved.

Estimation of optimum supply of shared cars based on personal travel behaviors in condition of minimum energy consumption

This study developed a method to determine the optimum supply of shared cars according to personal travel behaviors in the condition of minimum energy consumption. We applied the method in Southern Higher Education Zone (SHEZ) of Ningbo based on the survey data of personal travel behaviors in the region. Solutions in the case of minimum energy consumption encourage more shared-car trips, less private-car trips, and mass-transit trips. Total of 111 kJ of energy could be saved by each student from the actual case to minimum energy case. In SHEZ, 76 shared cars are recommended to provide an optimal supply of shared cars compared to 87 shared cars in reality. According to the findings, two policy implications are put forward from the aspects of supply and demand. First, to make an efficient supply, companies should focus on the distribution of shared cars according to the temporal and spatial distribution of usage, rather than only number of vehicles. Meanwhile, it is important to increase the usage of shared cars through policies, such as campaigns that raise residents’ awareness of car sharing as a green, flexible, and all-distance travel option for both workdays and holidays, and countermeasures that promote the usage of shared cars by key groups such as non-car owners. This study not only provides a method to estimate the optimum supply from viewpoint of minimum energy consumption, but also provide policy implications to guide the behaviors of both companies and users to improve the efficient usage of shared cars in Ningbo real case.

Travel Behaviours of Sharing Bicycles in the Central Urban Area Based on Geographically Weighted Regression: The Case of Guangzhou, China

Mobile information and communication technologies (MICTs) have fully penetrated everyday life in smart societies; this has greatly compressed time, space, and distance, and consequently, reshaped residents’ travel behaviour patterns. As a new mode of shared mobility, the sharing bicycle offers a variety of options for the daily travel of urban residents. Extant studies have mainly examined the travel characteristics and influencing factors of public bicycles with piles, while the travel patterns for sharing bicycles and their driving mechanisms have been largely ignored. Using one week’s travel data for Mobike, this study investigated the spatial and temporal distribution patterns of sharing bicycle travel behaviours in the central urban area of Guangzhou, China; furthermore, it identified the influences of built environment density factors on sharing bicycle travel behaviours based on the geographically weighted regression method. Obvious morning and evening peaks were observed in the sharing bicycle travel patterns for both weekdays and weekends. The old urban area, which had a high degree of mixed function, dense road networks, and cycling-friendly built environments, was the main travel area that attracted sharing bicycles on both weekdays and weekends. Furthermore, factors including the point of interest (POI) for the density of public transport stations, the functional mixing degree, and the density of residential POIs significantly affected residents’ travel behaviours. These findings could enrich discourse regarding shared mobility with a Chinese case characterised by rapidly developing MICTs and also provide references to local authorities for improving slow traffic environments.

Circumscribing the Spider: Trademark Law and the Edge of Data Scraping

The practice of web scraping — extracting online data from websites — has become a key strategy and business for many companies. Yet while many profit from scraping, those same organizations and others also wish to resist it. In additional to technical measures, companies have utilized a series of legal claims, such as copyright infringement and violation of the Computer Fraud and Abuse Act (“CFAA”), to attempt to block the scraping of their publicly available data. Several of these traditional claims have been foiled or met with mixed results, suggesting that companies wishing to block scraping practices may wish to look further afield. So far, the Lanham Act has been an underappreciated source of claims that could circumscribe scraping practices. Unlike traditional anti-scraping claims, the Lanham Act claims of trademark infringement, false advertising, and dilution would not block the act of scraping itself. However, they could possibly prevent certain uses of scraped information in conjunction with the scraped party’s trademark, potentially including key uses such as displaying prices, menu offerings, and travel options. Although existing precedent on trademark law and scraping is limited, it demonstrates that there is latent potential for Lanham Act claims in the scraping space. In addition, a recent rise in federal case filings alleging Lanham Act violations in connection with scraping practices suggests an increasing acknowledgment of the viability of such claims as well as offering the possibility for significant elucidation of this area of law. This Article hopes to offer an overview of the current state of trademarks law and scraping as well as practical suggestions for how such claims could circumscribe certain scraping practices.

An efficient approach to create agent-based transport simulation scenarios based on ubiquitous Big Data and a new, aspatial activity-scheduling model

Agent-based transport simulation models are a particularly useful tool to analyze demand-oriented transport policies and new mobility services, which have both gained significant attention lately. Since travel diaries, a traditional source to create the transport demand in agent-based transport models, are often hard to procure and not policy-sensitive, alternative approaches to creating travel demand representations for simulation scenarios are sought. In this study, a particularly efficient approach based on Big Data and a new, aspatial activity-based demand model with comparatively low input data requirements is established. Home, work, and education locations are informed based on mobile-phone-based origin-destination matrices. Other activity locations are modeled within the scope of the coevolutionary algorithm of the agent-based transport model, which is also responsible for finding suitable travel options of the modeled individuals. As a result, a comparatively lightweight process chain to create an agent-based transport simulation scenario is established, which is transferable to other regions. A basic quality evaluation of the created tool chain is carried out against a well-validated transport simulation model of the same region.

Safe Bicycle Lane Design Principles: Responding to Cycling Needs in Cities during COVID and Beyond

Cycling has become a popular, resilient and reliable travel option during the pandemic in cities around the globe. The implementation of emergent, or pop-up, bike lanes has received an overwhelming response since early 2020 and has also created a growing desire for safe and efficient bicycle infrastructure. Between March and July 2020, 394 cities, states and countries reported interventions that reallocated street space for people to cycle and walk more easily, directly and safely. This shift to cycling comes at a perfect time when cities have been making efforts to meet greenhouse gas emissions reduction targets. Pop-up bike lanes are typically implemented with temporary materials to segregate a traffic lane for the use of cyclists only. Despite this initial temporary condition, any new cycling infrastructure must be designed and implemented thoughtfully and to the highest standards to reduce or eliminate risks that cyclists face during trips, especially novice cyclists who might be biking in the city for the first time. When a crash occurs between a vehicle and a bicycle, it’s the cyclist who is most likely to be injured. According to the WHO, every year 41,000 cyclists die in road traffic-related incidents worldwide, representing 3% of global road traffic deaths. Temporary and quickly designed bike lanes should not compromise on safety. Bike lanes that are deployed now may have a significant impact on travel patterns and safety in cities for years to come, especially as the broad range of temporary materials available can be rapidly installed yet offer a semipermanent solution. For this reason, it is important to get the design and planning right. And right means safe. This guidance equips government agencies, designers, and civil society organizations that are participating in the health crisis response with an understanding of how to protect cyclists through safe and appropriate design. Cities are investing considerable effort and resources to implement safe cycling lanes under very challenging conditions, and this energy should not be wasted. The guidance provided here is based on the broad experience of the global team of authors, led by the WRI Ross Center for Sustainable Cities in collaboration with the Dutch Cycling Embassy, the League of American Bicyclists, Urban Cycle Planning (Denmark), and Asplan Viak (Norway).

Disentangling the behavioural side of the first and last mile problem: the role of modality style and the built environment

The first and last mile (FLM) problem, namely the poor connection between trip origins or destination and public transport stations, is a significant obstacle to sustainable transportation as it is likely to encourage the use of cars for FLM travel, if not for the entire trip. This study examines the role of modality style and built environment in FLM mode choice behaviour, in order to identify the key features that might invoke a travel mode shift from cars to more sustainable travel options for both mandatory and discretionary trips. More specifically, this study draws on disaggregate data from the South East Queensland household travel survey and presents a latent class choice model to unravel modality style groups. Results reveal two distinct individual-level modality style groups: (1) driving and walking oriented; (2) multimodal travellers. Individuals in the second modality style group were found to be relatively inelastic to FLM travel time for mandatory trips, while individuals in the first group were largely unaffected by built environment characteristics and highly habitual in their mode choice behaviour for both mandatory and discretionary trips. Home residence environments with high road intersection density and public transport accessibility, and home residence environments with diverse land use mix, respectively encourage individuals within the second modality style to walk for mandatory trips, and discretionary trips. To this end, when place-based policies seek to change certain built environment features, individuals in the second modality style are more likely to shift their preference from cars to more sustainable modes. Finally, our findings have practical planning implications in targeting mode shift through highlighting the importance of considering the intersection of individual modality style in a given locale and mode choice behaviour. More specifically, our findings advocate for place-based policies that seek to target particular locales with the certain modality style deemed to be more predisposed to adopting a mode shift.

ANALYSIS OF COMMUTERS' PERCEPTIONS ABOUT CARPOOLING SERVICE: A CASE STUDY IN LAHORE

The increase in urban population and private vehicle ownership has resulted in traffic congestion on road networks. The traffic congestion tends to increase social cost in terms of increased travel delays, road crashes and environmental pollution. Traffic congestion also increases the generalized travel cost of road users. There is a need to look for alternative travel options to ensure sustainable development of the society and transportation infrastructure. This study aims to identify the significant relationships between the socio-economic demographics (SEDs) of the travelers and their intentions with carpooling. The data was collected with the help of a questionnaire survey. This survey was conducted in Lahore city and three hundred and ninety four samples were obtained. The data was analyzed using frequency analysis and ordered probit regression analysis. The results revealed that the traveler’s marital status, education, daily trip distance, current travel mode, household income, car ownership and possession of a driving license had a significant influence on their willingness to adopt a carpooling alternative. Besides the trip, purpose of carpooling and the number of persons with whom to share a ride had significant correlations with carpooling. These significant attributes implicate that travelers’ specific characteristics play an important role in their decision to carpool. Carpooling programs are required to design, seeking the significant characteristics of travelers in the context of Lahore city as well as in other regions. These findings provide useful information to the transport planners and decision-makers in designing the transportation policies related to carpooling strategies.

Assessment of Sustainable Mobility by MCDM Methods in the Science and Technology Parks of Vilnius, Lithuania

The development of science and technology parks (STPs) has become a trendy tool for promoting the economy, innovation, and technology for more than 30 years worldwide. However, STPs poses challenges for urban planners seeking a vision of sustainable urban development. These places become an object of attraction for many highly skilled workers who create daily traffic flows. The proper accessibility and provision of transport infrastructure and services become the challenge for the development of such places because the availability of services influences the choice of travel mode and the possible employees’ travel behaviour. The authors of the research aim to assess the level of development of infrastructure and transport services conducive to the sustainable mobility of science and technology park staff in Vilnius city. Changing mobility behaviour into a more sustainable way is of interest to many scientists and practitioners, so the authors think that STP staff can represent a group of educated, working-age stakeholders within the city population, who has an interest in sustainable mobility travel options and can set an example of sustainable travel. Besides, recommendations for the planning and sustainable development from the sustainable urban mobility point of view of science and technology parks and similar institutions are provided. To achieve this goal, the authors use scientific empirical and theoretical research as well as multi-criteria decision-making (MCDM) methods. The results show the link between the distance from the developed STP site to the city centre and the more sustainable mobility of workers. Therefore, it is suggested to develop STPs closer to the urban centre as it often does not require large-scale development, nor do they engage in the polluting industry. Moreover, the authors suggest the key criteria that should be considered for STP development.

Not minding the gap: Does ride-hailing serve transit deserts?

Transit has long connected people to opportunities but access to transit varies greatly across space. In some cases, unevenly distributed transit supply creates gaps in service that impede travelers' abilities to cross space and access jobs or other opportunities. With the advent of ride-hailing services like Uber and Lyft, however, travelers now have a new potential to gain automobility without high car purchase costs and in the absence of reliable transit service. Research remains mixed on whether ride-hailing serves as a modal complement or substitute to transit or whether ride-hailing fills transit service needs gaps. This study measures transit supply in Chicago and compares it to ride-hailing origins and destinations to examine if ride-hailing fills existing transit service gaps. Findings reveal clustering of ride-hailing pickups and drop-offs across the City of Chicago, but that the number of ride-hailing pickups and drop-offs was most strongly associated with high neighborhood median household income rather than measures of transit supply. In bivariate analyses, transit service was not associated with ride-hailing trip ends. But after controlling for neighborhood socioeconomic status, transit dependency, population density, and employment density, we found fewer ride-hailing trips in neighborhoods where bus service dominated and significantly more ride-hailing trips where rail service was prevalent. Patterns were slightly different for overnight weekend ride-hailing pick-ups, where higher transit density predicted a greater number of trips in nearby tracts. Additional research and policy is needed to ensure that ride-hailing services provide travel options to those who need them the most and fill transit gaps in low-income communities when options to increase service are limited.

Rural Tourism and Environmental Sustainability—A Study on a Model for Assessing the Developmental Potential of Organic Agritourism

In light of the public’s increasing awareness of and desire to create healthy and friendly environments, developments in organic agriculture and organic agricultural products have gradually yielded optimum choices in terms of healthy diets, travel options, and lifestyles, in addition to winning considerable attention and popularity from the public. This study was centered on a model for assessing the developmental potential of organic agritourism, with empirical analyses being conducted regarding visitors to Yuli Township in Hualien County, Taiwan. The results were as follows. By means of on-site interviews and surveys, as well as a review of relevant literature, this study constructed several assessment indicators of the developmental potential of organic agritourism. The constructed model consisted of four criteria, namely, the attractiveness of resources, market development potential, community development capabilities, and the creation of diverse values, as well as 23 sub-criteria. The analytic hierarchy process (AHP) approach was employed, and a questionnaire with expert validity was used to deduce the weights of each criterion and sub-criterion. The highest-weighted criterion was the attractiveness of resources, followed by, in order, the creation of diverse values, market development potential, and community development capabilities. The results of this study can serve as a reference for Yuli Township in developing strategies to promote organic agritourism in the area.

The application of travel demand management initiatives within a university setting

A biennial transport survey at the University of Aberdeen was analysed over a ten-year period to better understand the influence of travel demand management (TDM) initiatives on the commuting habits of staff and students. Campus-based TDM initiatives such as a free inter-campus shuttle bus, charged parking permits and cycle infrastructure was introduced to encourage sustainable travel and to move away from single occupancy car journeys. To consider the impacts of TDM initiatives on staff and student travel choice, an index representing low emissions travel was created using estimated carbon intensity of travel options. Survey data was assessed across age categories, year, commuter travel distance, gender and status (staff or student) to enable discussion of how TDM implementations may have influenced clean travel choice across the survey periods.Outcomes indicated that TDM initiatives did not in themselves influence a substantial shift to clean transport options. A low carbon travel choice index was developed and median comparisons indicated that students travelled on average more by lower emissions transport methods, predominantly walking or cycling, than staff and showed greater variation across the full range of travel options. Staff exhibited significantly lower median index values. This is thought to be related to socio-economic factors between the groups combining with housing opportunities and residential choices over time.While TDM initiatives should be encouraged at institutions such as universities and hospitals, single institutions are unlikely to see a substantial transition to sustainable travel if wider societal infrastructure is not in place to enable people to be habituated to choosing sustainable options. Findings suggest that regional coordination is required for TDM to be societally accepted and successful.

A human-centred assessment framework to prioritise heat mitigation efforts for active travel at city scale

Hot weather not only impacts upon human physical comfort and health, but also impacts the way that people access and experience active travel options such as walking and cycling. By evaluating the street thermal environment of a city alongside an assessment of those communities that are the most vulnerable to the effects of heat, we can prioritise areas in which heat mitigation interventions are most needed. In this paper, we propose a new approach for policy makers to determine where to delegate limited resources for heat mitigation with most effective outcomes for the communities. We use eye-level street panorama images and community profiles to provide a bottom-up, human-centred perspective of the city scale assessment, highlighting the situation of urban tree shade provision throughout the streets in comparison with environmental and social-economic status. The approach leverages multiple sources of spatial data including satellite thermal images, Google street view (GSV) images, land use and demographic census data. A deep learning model was developed to automate the classification of streetscape types and percentages at the street- and eye-view level. The methodology is metrics based and scalable which provides a data driven assessment of heat-related vulnerability. The findings of this study first contribute to sustainable development by developing a method to identify geographical areas or neighbourhoods that require heat mitigation; and enforce policies improving tree shade on routes, as a heat adaptation strategy, which will lead to increasing active travel and produce significant health benefits for residents. The approach can be also used to guide post COVID-19 city planning and design.

Ambivalent about travel mode choice? A qualitative investigation of car user and non-car user attitudes

• Semi-structured in-depth interviews explored attitudinal complexity of above-average mileage car users and non-car users. • Thematic analysis revealed attitudinal ambivalence and context-dependent variability of transport-relevant evaluations. • Identified specific situations in which ambivalence is salient. • Highlighted the complexity of aspects of transport convenience and inconvenience. • Findings suggest that specific survey questions may be prone to ambiguity. Attitudes towards travel mode choice have been regarded as bi-polar evaluations of travel options that remain stable across time and context. Intra-personal attitudes can be variable, becoming more or less salient and changing in strength or valence across decisional contexts. This study draws on theoretical underpinnings of attitudinal ambivalence, which proposes that a person can hold two-dimensional (negative and positive) evaluations about one attitude object simultaneously. The present research aimed to explore attitudinal ambivalence in relation to travel modes and examine the variability of attitudes in different contexts. Thirty semi-structured interviews explored above-average mileage car users’ (n = 15) and non-car users’ (n = 15) experiences of attitudinal ambivalence in relation to various transport modes and under which circumstances. Thematic analysis found support for attitudinal ambivalence and context-dependent attitude variability in relation to travel mode evaluations. Discussions of an a priori questionnaire confirmed the malleability of transport-relevant attitudes. Transport-relevant attitudes are complex and ambivalent. Attitudinal ambivalence and context-dependent attitude variability has implications for transport research design, interventions targeting travel-related attitudes and policies aimed to reduce single-occupancy driving.

Factors Associated with Travel Behavior of Millennials and Older Adults: A Scoping Review

This study aims to synthesize knowledge on the travel behavior of millennials and older adults based on literature from 2010 to 2018. The study looks into the different factors that contributed to shaping each generation’s travel behavior. Both qualitative and quantitative studies that fall within the selection criteria are reviewed, with a total of seventy-eight studies selected for review. Thirty-four papers focused on young adults/millennials, 35 included an older adult population, and 9 investigated both younger and older age groups. Six of the studies utilized qualitative methods, 68 applied quantitative methods, and 4 used mixed methods to explore the factors associated with travel behavior. Travel behaviors are explored in terms of mode choice, trip distance, trip frequency, use of alternative transport, ridesharing, and mobility tool ownership. Associated factors are categorized into five themes: personal attributes, geography and built environment, living arrangements and family life, technology adoption, and perceptions and attitudes towards travel options and environment. This study concludes that difference exists between generations in terms of travel behavior, and that the factors that influence each generation’s travel characteristics are either different or differ in their nature of influence (increase/decrease). Finally, based on the reviewed literature, this study proposes future research directions.

Shifting to Shared Wheels: Factors Affecting Dockless Bike-Sharing Choice for Short and Long Trips

In this paper, we explore users’ intentions to use bike-sharing systems (BSS) compared to traditional competitive transport modes—private car, bus and walking. Fueled by the increasingly rampant growth of shared economy and Information and Communication Technology (ICT), shared mobility is gaining increasing traction. The numbers of shared mobility schemes are rapidly growing worldwide and are accompanied by changes in the traditional vehicle ownership model. In order to pinpoint the factors that strongly affect the willingness to use BSS, a stated preference survey among car and bus users as well as pedestrians was designed and conducted. Binary logit models of the choice between the currently preferred transportation modes and BSSs were developed, for short and long-duration trips, respectively. The results highlight a distinctive set of factors and patterns affecting the willingness to adopt bike-sharing: choice is most sensitive to travel time and cost of the competitive travel options. In general, users are more willing to make the switch to a BSS, especially for short trip durations, when their typical mode of transport becomes more expensive. Bike-sharing also seems to be a more attractive option for certain user socio-demographic groups per mode and trip duration (age, education level, employment status, household income). Trip characteristics such as trip purpose and frequency were also found to affect the willingness to choose BSS. In general, BSS seem to mainly attract bus users and pedestrians, while car users may use BSS more sparingly, mainly for commuting purposes.

Dial-a-Ride Problem with Users’ Accept/Reject Decisions Based on Service Utilities

The classic dial-a-ride problem (DARP) aims at designing the minimum-cost routing that accommodates all requests under a set of constraints. However, several modeling and computational challenges have hindered the successful deployment of dial-a-ride solutions. This work proposes incorporating user preference decisions within a rich DARP formulation. Specifically, it is considered that two travel modes are available: a shared mobility (DARP) service and a private travel option. Utility functions for each travel mode are integrated and it is assumed that the utility of the shared mobility service depends on the collective choice of travelers whereas the utility of private travel is fixed. Assuming that travelers are rational and seek to maximize their trip utility, extra variables and constraints are added to ensure that all requests are served by the mode with the higher utility. The behavior of the proposed integrated DARP with formulation of user preference constraints is examined by comparing the optimal solutions and computational time of this model with its classic DARP counterpart. Furthermore, the impact of various formulations of fare and the tolerance of the integrated DARP model is explored. Results show that user-personalized fare formulation improves model tolerance and profit margin, albeit it is rather computationally expensive.

Smart vehicle management using cost effective approach

With the high rise in climate conditions and thus the overcrowding of roads, carpooling is getting very popular when it involves eco-friendly and affordable travel options. Ridesharing is when more than one person shares a ride in their own vehicle. Carpooling minimizes pollution because a lesser number of cars are on the road. This is often also economical because the travel costs are divided between the drivers. The objective of this project is to develop a web application that provides a simple riding platform between the car owner and car user. This project enables users to access mobility assets own by others exactly when they need it. It shows a medium for available cars to pick up them on the interest of car owners with time and capacity. The web application is said to be common, which suggests that this can work for any passenger worldwide. Anyone participating in a tour can check-in at the rendezvous to admit the opposite people as soon as they arrive at the meeting point. Our web application is going to be having two types of users: First, the travelers (drivers) who drive their vehicle (currently cars only) to shuttle for work every day, and a few travelers got to share the value of fuel and other costs. Second, travelers (passengers) who also visit to work every day; besides they use conveyance or other means of transport that takes longer than usual to succeed in their terminus, making them feel drained and unclear at the top of the day. Our project is simply an effort to realize these two goals, the passengers and the drivers, building a relationship of faith for yourself and doing a little good for the surroundings as a responsible and informed person.