Trip Generation At Grand Sememe Residence Housing In Delitua

The development of new residential areas can lead to increased travel activity, known as trip generation. This study aims to analyze the magnitude of trip generation occurring at Grand Sememe Residence, Deli Tua, and to examine the influence of residents’ socioeconomic characteristics on the number of trips generated. Primary data were collected through questionnaires distributed to 70 household heads, covering variables such as number of family members, number of vehicles, and household income. The analysis was conducted using simple linear regression and multiple linear regression methods to determine the relationship between the independent variables and the number of trips. The results showed that the number of vehicles had the most significant influence on trip generation. Although the multiple regression model was not statistically significant overall, the results are still presented as an initial reference in the development of transportation planning models in residential areas. These findings are expected to serve as input for transportation planners and housing developers in designing efficient and sustainable transportation systems.

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Publication Details

Journal
Proceeding of International Conference on Science and Technology UISU.
Published
2025-08-10
DOI
https://doi.org/10.30743/fdhg1g76
Primary Topic
Urban and Rural Development Challenges
Type
article
Field-Weighted Citation Impact
0.00
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article

Trip Generation At Grand Sememe Residence Housing In Delitua

Darlina Tanjung, Marwan Lubis, Maulida Lubis
Proceeding of International Conference on Science and Technology UISU.
Urban and Rural Development Challenges
article

Trip Generation At Grand Sememe Residence Housing In Delitua

Darlina Tanjung, Marwan Lubis, Maulida Lubis
article en

Abstract

The development of new residential areas can lead to increased travel activity, known as trip generation. This study aims to analyze the magnitude of trip generation occurring at Grand Sememe Residence, Deli Tua, and to examine the influence of residents’ socioeconomic characteristics on the number of trips generated. Primary data were collected through questionnaires distributed to 70 household heads, covering variables such as number of family members, number of vehicles, and household income. The analysis was conducted using simple linear regression and multiple linear regression methods to determine the relationship between the independent variables and the number of trips. The results showed that the number of vehicles had the most significant influence on trip generation. Although the multiple regression model was not statistically significant overall, the results are still presented as an initial reference in the development of transportation planning models in residential areas. These findings are expected to serve as input for transportation planners and housing developers in designing efficient and sustainable transportation systems.

Proceeding of International Conference on Science and Technology UISU.
North Sumatra Islamic University (ID)
Openalex Percentile: Top 72%
Urban and Rural Development Challenges
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Trip Generation At Grand Sememe Residence Housing In Delitua — Darlina Tanjung, Marwan Lubis, et al. · Proceeding of International Conference on Science and Technology UISU. (2025) | TGRS Research Map | TGRS